At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Senior Virtualisation Engineer to manage our corporate and engineering virtualisation platforms. These platforms support core services like Active Directory, DNS, source-control systems, and Kubernetes clusters. You will ensure the reliability, performance, and lifecycle management of our VM and container platforms. 

A key part of this role involves owning and managing our VDI environment for high-performance EDA CAD workloads. Experience with Omnissa Horizon or a similar virtual desktop platform is required. You will also manage the VM fleet daily, including provisioning, automation, patching, incident response, and optimization. Experience with VMware Tanzu or other Kubernetes orchestration platforms is highly valued. A strong automation approach is important to streamline deployment and simplify operations.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Manage and maintain the corporate virtualisation platforms supporting core services.
• Run, track, and improve Kubernetes platforms (VMware Tanzu or alternatives).
• Manage the VDI environment used for EDA CAD workloads (Omnissa Horizon or similar).
• Carry out lifecycle tasks throughout the VM fleet, including provisioning, patching, and fault resolution.
• Automate deployment and operational processes (Ansible, Terraform, PowerCLI, Python, etc.).
• Automation of CI/CD based image/template creation to generate known secure images.
• Implement monitoring, capacity planning, and performance optimisation for hypervisors and virtual workloads.
• Diagnose intricate problems spanning virtualisation, network, and storage domains.
• Work with vendors on upgrades, support cases, and platform evaluations.

Candidate Profile

Essential:

• 5+ years experience coordinating enterprise virtualisation platforms.
• Strong hands-on experience with VMware vSphere/ESXi or equivalent.
• Experience handling VDI deployments at scale (Omnissa Horizon or VMware Horizon preferred).
• Experience managing core infrastructure (AD, DNS, SCM) in virtualised environments.
• Proficient in automation tools and scripting languages such as Ansible, Terraform, PowerCLI, Python, and others.
• Strong problem-solving abilities across compute, network, and storage.
• Experience with patching, upgrades, and capacity planning.
• Strong understanding of security architecture, hardening practices, and risk mitigation within virtualised environments.

Desirable:

• Experience supporting semiconductor or HPC/EDA environments.
• Familiarity with GPU-accelerated VDI or compute workloads.
• Knowledge of observability tools (Prometheus, Grafana, Splunk).
• Understanding of high-performance networking (10/25/40/100GbE, RDMA, etc.).
• Experience with crafting sandbox environments for security and DR testing work, for example.
• Understanding of Kubernetes platforms (Tanzu, OpenShift, Rancher, etc.).
• Worked with third-party hyper-converged VMware platforms such as SimpliVity.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Lead Lab Support Engineer at Graphcore, you will serve as the technical lead providing IT support to Engineering Labs and Silicon development projects. This includes bring-ups and testing in hybrid Linux and Windows environments. You will deliver reliable, scalable, and high-quality services to internal customers, partners, and collaborators. You will also lead a small team of Lab Support Engineers and encourage a culture of accountability, collaboration, and continuous improvement. 

Working alongside Project Managers, engineering teams, and interested parties, you will build and deploy scalable workflows. You must ensure IT support for Engineering Labs keeps pace with the organisation’s evolving requirements. At first, this role requires direct involvement in daily support, configuration, and onboarding activities while forming the Lab Support team and setting up scalable processes.

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you. 

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system
• Ensure high-quality L1 & L2 support through effective triage, prioritization, and allocation of tickets
• Establish, manage, and consistently refine the Lab Support service, covering standards, processes, and governance
• Serve as the primary point of escalation and decision-making for IT service delivery
• Handling and providing support for Linux-based systems
• Handling and maintaining Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities, tools and packages installation, platform configuration via Configuration Management systems
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills, Active Directory domain joining, policies
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar via Git
• Understanding of authentication services such as LDAP, Radius

Desirable

• Experience in managing web servers, load-balancers, reverse-proxies (e.g.: ha-proxy, nginx)
• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
• Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications
• CI/CD pipelines via GitLab/GitHub

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a highly experienced Lead Engineer Support Linux Engineer to guide and develop a small group supporting engineering systems in a fast-paced AI-centered environment. 

The position requires strong Linux skills combined with leadership, automation, and DevOps approaches to maintain systems that are reliable, scalable, and easy to support at scale. An important responsibility is developing and managing a configuration-as-code environment. In this setup, system configuration and operations are handled through automation, pipelines, and source control rather than manual intervention. 

You will be responsible for leading incident response, driving operational improvements, and setting standards for how Linux systems are managed and supported across the organization.

While the role includes leadership responsibilities, it will initially require a hands-on approach, including direct involvement in troubleshooting, system support, and automation efforts, while building team capability and scaling processes.

Collaborating intimately with engineering groups, platform engineers, and infrastructure experts, you will guarantee systems stay stable, efficient, and consistent with changing business and product delivery requirements. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very supportive culture. We work closely together, regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you!

Responsibilities and Duties

• Guide, mentor, and cultivate a team of Linux Engineering Support Engineers, defining clear roles, responsibilities, and methods of collaboration
• Own and oversee support for Linux-based systems and engineering environments, ensuring stability, performance, and availability
• Act as a point of contact for complex technical issues and outages, providing hands-on support when a customer concern arises
• Diagnose and resolve high-impact system and interoperability issues across mixed and distributed environments
• Perform hands-on investigation and troubleshooting to understand issues and drive effective solutions
• Direct incident response efforts, encompassing triage, coordination, and resolution
• Take responsibility for and lead Root Cause Analysis (RCA) processes, ensuring preventative improvements are identified and applied
• Establish and improve incident management processes, driving operational maturity and reliability
• Drive adoption of automation and configuration-as-code practices across Linux systems
• Ensure system changes are delivered through controlled, auditable processes wherever possible
• Oversee development and implementation of automation solutions for system management and operational tasks
• Promote and support use of workflows based on Git and CI/CD pipelines for configuration and operational processes
• Identify and prioritize opportunities to reduce manual effort through automation and improved tooling
• Collaborate with engineering teams to assist development environments and system requirements
• Act as a senior technical liaison between engineering teams and infrastructure/platform functions
• Support onboarding of new systems, services, and environments using standardized and automated approaches
• Ensure system configurations stay consistent and aligned with established standards and governance
• Oversee integration points (e.g. identity, CI/CD, tooling) and ensure issues are resolved effectively
• Identify and drive improvements in system performance, scalability, and maintainability
• Contribute to and enforce documentation, standards, and operational guidelines
• Ensure systems meet audit, compliance, and governance requirements, with full traceability of changes

Candidate Profile

Essential

• Extensive experience managing and maintaining Linux-based systems in complex technical or engineering environments
• Strong troubleshooting skills across operating systems, networking, storage, and application layers
• Demonstrated ability to identify and solve intricate technical problems, including within diverse or distributed settings
• Demonstrated experience managing significant incidents and outages, including directing resolution efforts and participating in Root Cause Analysis (RCA)
• Extensive background in automation and scripting (e.g., Bash, Python, or similar)
• Extensive background in configuration management or infrastructure-as-code tools (e.g., Ansible, Terraform, Puppet, or similar)
• Experience working with configuration-as-code practices and workflows managed through Git
• Experience building, managing, or assisting with CI/CD pipelines for configuration and operational processes
• Strong understanding of system interoperability across distributed environments
• Experience working within defined standards, governance frameworks, and controlled processes
• Strong communication skills and ability to collaborate closely with engineering, platform, and infrastructure teams
• Experience mentoring or supporting the development of other engineers
• Capability to work efficiently across different time zones within a dispersed organization
• Demonstrated capability to work autonomously, establish goals, and achieve results

Desirable

• Experience managing or coordinating incident response activities
• Experience working alongside DevOps, platform, or infrastructure engineering teams
• Experience with monitoring, observability, and logging systems
• Experience supporting AI/ML or high-performance computing environments
• Understanding of identity and access management concepts
• Experience building or scaling operational processes or support functions
• Experience managing and maintaining Linux-based systems in a technical or engineering environment

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a Lab Support Engineer at Graphcore, you’ll play a key role in keeping our people and systems running efficiently. You’ll provide day-to-day support to internal customers and external collaborators in on-prem Hardware Labs and Silicon development projects in hybrid Linux & Windows environments. You will help colleagues resolve issues quickly while maintaining a strong focus on security and following established guidelines. 

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face & via ticketing system, L1&L2 support
• Handling and maintaining Linux-based systems
• Handling and providing support for Windows-based systems
• Managing a fleet of servers, helping Hardware Lab teams with daily activities
• Installing and troubleshooting servers, hardware maintenance, fault finding
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base

Essential

• Excellent communication and customer service skills
• Good understanding of troubleshooting principles and methodical problem-solving
• Strong Linux administration skills in Debian & RedHat derivatives
• Good Windows administration skills
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, subnetting
• Familiarity with desktop and server hardware, BMCs, Out-of-Band networks, firmware & BIOS upgrades, PDU, rack mounts
• Managing Infrastructure-as-Code using Puppet, Ansible, or similar

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads
• Experience with various monitoring solutions and stack (e.g. Zabbix/Prometheus/Grafana Mimir/Open Telemetry)
• Experience in managing web servers, load-balancers, reverse-proxies (e.g.: ha-proxy, nginx)
• Proficiency with containerisation frameworks and orchestration (e.g.: Docker/containerd/Kubernetes)
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a Secrets Engineer to lead the development, deployment, and ownership of a secure, scalable secrets-management platform for the entire organization. You will build a new enterprise-grade HashiCorp Vault or OpenBao environment from scratch. It must be highly available, resilient, and suited for long-term use. 

This is a strategic role: you will deliver and operate the central platform. You will also collaborate with engineering, security, and operations teams that manage localized or ad-hoc secrets systems. A key part of your mission is to unify and standardize these methods across Graphcore, ensuring consistent guidelines, smooth migration, and organization-wide support. 

The Team

You’ll be joining a multidisciplinary team with strong technical skills and a very encouraging culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you.

Responsibilities and Duties

Platform Ownership & Implementation

• Build, deploy, and operate an organization-wide HashiCorp Vault or OpenBao platform from scratch, ensuring high availability, scalability, and strong security posture.

• Define architecture for clustering, storage backends, auto-unseal, disaster recovery, and performance replication.

• Develop migration strategies and reference frameworks that allow other teams to move from their current secrets tools to the central platform.

• Standardization & Governance

• Collaborate with groups from engineering, security, and operations to merge various secrets stores into one unified system.

• Develop organizational standards, policies, access models, and workflows to ensure consistent, secure usage of the platform.

• Advocate for guidelines in secret lifecycle management, authentication methods, and identity federation.

Integrations, Enablement, and Developer Experience

• Build tooling, automation, onboarding guides, and libraries to help teams adopt Vault/OpenBao easily and accurately.

• Integrate Vault/OpenBao with CI/CD systems, cloud platforms, and internal services.

• Deliver workshops, training, and direct technical support to accelerate adoption.

Research & Advanced Security Capabilities

• Evaluate approaches for secure password storage for individual users—either within Vault/OpenBao or by assessing alternatives such as BitLocker or other credential-management systems.
• Conduct an initial study on the feasibility of implementing SPIFFE/SPIRE for workload identity, attestation, and zero-trust authentication, outlining future pathways and recommendations.

Collaboration & Cross-Team Work

• Partner with HPC, Networking, Storage, Security, and Cloud Engineering teams to ensure seamless integration of secrets workflows into broader infrastructure systems.
• Find opportunities to improve security posture and operational efficiency through automation and standardized secrets management. 

Candidate Profile

Essential:

• 4+ years in DevOps, SRE, security engineering, or platform engineering roles.
• Direct experience deploying and operating HashiCorp Vault, OpenBao, or a similar enterprise secrets-management system.
• Strong understanding of authentication backends (OIDC, LDAP, cloud IAM), secret engines, PKI, encryption, and token/credential lifecycle.
• Solid Linux administration and shell scripting experience.
• Experience with Infrastructure-as-Code (Terraform preferred) and CI/CD automation.
• Strong communication skills with the ability to collaborate across multiple engineering and security fields.

Desirable:

• Experience crafting HA/DR architectures for Vault/OpenBao.
• Experience connecting Vault with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines.
• Knowledge of SPIFFE/SPIRE, workload identity, or zero-trust architectures.
• Understanding of modern security tooling, certificate management, or identity platforms.
• Python programming experience for automation and tooling.

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

In the role of Linux Engineer at Graphcore, you will be key to ensuring flawless operation of our systems and personnel. You will support core IT services and Linux environments daily, assisting colleagues with issue resolution efficiently. A strong focus on security and adherence to guidelines is essential. This is an outstanding chance to join a company breaking new ground in AI technology!

The Team

You’ll be joining a multidisciplinary team with outstanding technical skills and an encouraging culture. We collaborate closely, frequently exchanging knowledge, and your expertise will have a direct effect on our business. It's an exciting time to be part of Graphcore, with ambitious new projects ahead. If you’re eager to tackle interesting challenges and watch your work produce real-world outcomes, this is the team for you.

Responsibilities and Duties

• Logging and solving support requests face-to-face and via the ticketing system.
• Managing and supporting Linux-based systems, providing Layer 1 & 2 support.
• Security patching, including risk assessment for Linux environments.
• Collaborating with engineering teams to manage hybrid cloud and on-prem servers.
• Maintaining Infrastructure-as-Code specifications to deploy and automate changes.
• Handling key infrastructure services such as DNS, DHCP, VPN, and LDAP.
• Maintaining and supporting the virtualisation platform.
• Detailing solutions and maintaining a clear, up-to-date internal knowledge base.

Essential:

• Excellent communication and customer service skills.
• Strong understanding of troubleshooting principles and methodical problem-solving.
• Over 5 years of experience in System Administration concentrating on delivering essential infrastructure services and automation.
• Strong Linux administration skills in Debian & RedHat derivatives on bare metal and virtual machines.
• Good networking skills such as VLANs, VPNs, Wi-Fi, routing, and subnetting.
• Hands-on experience building and managing CI/CD pipelines (e.g., Jenkins, GitLab CI).
• Experience in handling Infrastructure-as-Code with Terraform, Puppet, Ansible, or equivalent tools.
• Managing Virtualisation Platforms like VMware ESXi/vSphere and KVM/libvirtd.

Desirable

• Experience with identifying network/storage/CPU/RAM bottlenecks across complex workloads.
• Familiarity with various monitoring solutions and stacks (e.g., Zabbix, Prometheus, Grafana Mimir, Open Telemetry).
• Experience handling web servers, load balancers, and reverse proxies (e.g., ha-proxy, nginx).
• Proficiency with containerisation frameworks and orchestration (e.g., Docker, containerd, Kubernetes).
• Python programming skills, with the ability to write code to interact with APIs, process data, and build small applications.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are looking for a dedicated Automation Engineer to join Graphcore Ltd. in Bristol, UK. This role offers an outstanding opportunity to build and scale automation capabilities across our modern platforms, starting with the Atlassian Cloud and extending to other innovative systems. You will play a key role in establishing a configuration-as-code model, advancing our automation efforts, and ensuring smooth operations through reliable workflows based on continuous integration and delivery.

The Team

You’ll be joining a world-class, multi-disciplinary team known for its strong technical prowess and encouraging culture. Our team collaborates closely, regularly shares knowledge, and your contributions will make a significant impact on our business. This is an ambitious and pivotal time for us, with numerous new projects on the horizon. If you're determined to tackle interesting challenges and see your work deliver real-world results, this is the team for you! 

Responsibilities and Duties

• Build and implement CI/CD pipelines to manage configuration changes with validations, approvals, and deployment stages
• Develop and maintain configuration-as-code workflows, ensuring all modifications are version-controlled, auditable, and repeatable
• Build and maintain automated systems for provisioning projects, workflows, permissions, and configurations
• Implement approval gates, policy checks, and validation logic within pipelines to enforce governance and compliance
• Connect CI/CD workflows with identity and access systems (e.g., Azure AD) to guarantee secure and auditable provisioning
• Develop automation using APIs and scripting to manage SaaS platforms, initially focusing on Atlassian
• Compose and build reusable automation frameworks and patterns that can be extended to other systems driven by APIs
• Collaborate with Atlassian Administrators to identify manual processes and transition them into automated workflows
• Work closely with the Lead Atlassian Platform Engineer to implement platform architecture, standards, and governance through code
• Develop tooling to enforce standards, prevent configuration drift, and improve consistency across environments
• Build automation and tooling through the use of relevant programming or scripting languages (e.g., Python, Go, PowerShell)
• Monitor and improve the performance, reliability, and scalability of automation workflows and pipelines
• Support audit and compliance requirements by ensuring all modifications are traceable and managed through pipelines
• Contribute to documentation, standards, and guidelines for automation and platform operations

Candidate Profile

Essential:

• Strong experience in DevOps, automation, or platform engineering roles
• Established expertise in developing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, CloudBees or equivalent)
• Experience building workflows for configuration, infrastructure, or SaaS platforms that follow a structured process
• Experience applying approval, validation, and governance controls within CI/CD pipelines
• Proficient programming or scripting abilities (e.g., Python, Go, PowerShell, or similar)
• Experience working with REST APIs and developing automation for systems that rely on APIs
• Experience managing source control systems (e.g., Git) as the definitive reference
• Knowledge of identity and access management principles
• Ability to compose and build scalable, maintainable automation solutions
• Strong problem-solving skills and ability to work in a distributed environment

Desirable:

• Experience interacting with Atlassian Cloud APIs (Jira, Confluence)
• Experience implementing configuration-as-code or GitOps-style approaches
• Familiarity with Azure AD or other identity providers
• Experience building internal platforms or automation frameworks
• Knowledge of governance, audit, and compliance requirements
• Experience extending automation patterns across multiple SaaS platforms

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

We are seeking a highly experienced Lead Atlassian Cloud Platform Engineer to own our Atlassian Cloud ecosystem. This includes multiple sites and environments used for cross-company collaboration. 

This role is responsible for maintaining the architectural integrity, security stance, and scalable expansion of the Atlassian platform. An important part of this position involves creating and managing a configuration-as-code environment. In this setup, platform settings are handled via APIs, pipelines, and source control instead of manual management, which guarantees consistency, traceability, and adherence across all locations. 

You will serve as the primary platform owner, setting standards, ensuring governance, and promoting self-service features that help teams work efficiently while keeping security and configuration intact. 

Collaborating with Project Managers, engineering teams, and partners, you will build scalable workflows. You will also guide platform growth and ensure the Atlassian environment adapts to the organisation’s changing requirements.

This role begins with an active role that includes daily support, configuration, and onboarding efforts. At the same time, it involves growing the Atlassian platform team and setting up scalable processes. 

The Team

You’ll be joining a multi-disciplinary team with strong technical skills and a very encouraging culture. We work closely together, regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you're looking to solve interesting problems and see your work deliver real-world results, this is the team for you!

Responsibilities and Duties

• Manage and maintain multiple Atlassian Cloud sites, ensuring secure collaboration spaces that span different companies
• Act as the authoritative decision-maker for Atlassian configuration, preventing configuration drift and ensuring architectural consistency in all builds
• Define and enforce governance standards aligned with audit, compliance, and security requirements
• Establish and maintain a configuration-as-code operating model, ensuring all configuration is provisioned and managed through source control, APIs, and CI/CD pipelines
• Build and maintain automated identity and access provisioning, coordinated with Azure AD (or equivalent), ensuring access follows established rules and is auditable
• Lead automation efforts for project provisioning, workflows, permissions, and scheme management
• Develop and evolve self-service capabilities to standardise project setup and reduce administrative overhead
• Define and maintain best-practice configuration patterns across Jira and Confluence
• Ensure secure separation of internal and third-party collaboration environments, with awareness of data governance, export controls, and security boundaries
• Conduct Root Cause Analysis (RCA) on platform and workflow issues and implement preventative improvements
• Act as the final point of contact for complex Atlassian issues and provide enterprise-level support
• Deliver professional advice to Project Managers and engineering teams across diverse workflows and delivery models
• Provide direct assistance when needed, including collaborating with Project Managers and teams to set up projects and workflows, ensuring they align with platform standards and governance
• Coordinate identity and access integrations and drive automation of administrative processes through scripting and tooling
• Build, mentor, and grow the Atlassian platform team, defining clear roles, responsibilities, and methods of collaboration
• Proactively identify improvement opportunities and drive solutions.

Candidate Profile

Essential:

• Extensive experience coordinating Atlassian Enterprise Cloud
• Proven experience operating as a lead or primary Atlassian platform owner
• Strong automation expertise (Jira Automation, REST APIs, scripting)
• Demonstrated experience implementing configuration-as-code approaches for SaaS platforms
• Experience automating project configuration and enforcing standardisation at scale
• Strong understanding of access control based on user identity and automated provisioning models
• Experience connecting Atlassian with Azure AD (or a similar IdP)
• Experience working in audit-controlled or governance-heavy environments
• Experience crafting secure multi-tenant or cross-company collaboration environments
• Solid understanding of data governance, security boundaries, and compliance considerations
• Proficient scripting abilities (e.g. PowerShell, Python, Go) and familiarity with CI/CD pipelines
• Strong collaborator management and consultancy skills
• Proven ability to operate independently, set direction, and deliver outcomes

Desirable

• Atlassian certifications
• Experience building internal self-service platforms
• Experience directing large-scale collaboration efforts across multiple companies
• Familiarity with DevOps tooling and infrastructure-as-code concepts
• Experience defining enterprise-wide workflow standards

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. 

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

The Team

We are building a global Talent Acquisition function to support the rapid growth of Graphcore as we hire across EMEA, APAC and NAM regions. This means building the operational infrastructure for TA at the same time as delivering significant hiring volume.

This role is the operational backbone of recruitment: hiring data and reports, recruitment platforms, vendor relationships, and processes that enable the team to work efficiently at scale.

Initially, we will concentrate on structuring and clarifying hiring data. This involves producing accurate reports, relevant insights, and a clear overview of hiring plan delivery.More broadly, this role ensures the team has the systems, processes, and operational backing needed to do their best work.This is a hands-on role for someone who enjoys bringing structure to fast paced environments and building operational foundations that allow teams to scale.

Key Responsibilities 

Data & Reporting

One of the initial priorities for this role will be setting up clear, accurate reporting so the business has a trusted perspective on hiring demand, progress, and delivery.

You will:

• Develop and take responsibility for the Talent Acquisition reporting framework and dashboards bringing together data from Greenhouse, HRIS, Superset and other sources into a reliable reporting structure
• Establish consistent hiring metrics and reporting cadence for leadership
• Collaborate with Finance, People Data, and People Operations to coordinate hiring efforts with workforce planning
• Track pipeline health, time-to-hire, recruiter capacity and delivery against hiring plans
• Surface risks, bottlenecks and trade-offs to support prioritisation

Recruitment Systems & Tools

You will own and optimise the systems that support the hiring organisation.

• Act as primary administrator for the ATS (Greenhouse) managing workflows, permissions, interview stages and data governance
• Ensure systems are used consistently across global teams
• Maintain GDPR compliance, data retention and data quality
• Monitor integrations, APIs and overall system performance
• Find opportunities for automation, AI and tooling improvements
• Manage licences and usage across platforms such as HackerRank and LinkedIn
• Partner with IT to ensure tools meet security and integration requirements

Vendor & Agency Management

You will help ensure external partners support hiring efficiently and follow our processes.

• Maintain the framework for agency and vendor engagement, including terms of business and rate cards
• Support operational management of RPO and agency partners, useage and performance
• Ensure external partners follow internal hiring processes and systems
• Align recruiter capacity with hiring demand through the RPO flex model

Recruitment Process & Operational Excellence

Robust processes are already established. This position will unify them into a clear and consistent global framework.

• Review and refine recruitment processes to ensure they are scalable and consistently used
• Standardise recruitment workflows while allowing for regional requirements
• Maintain operational documentation across areas such as visas, relocation and hiring approvals
• Compliance & Audit readiness

TA Enablement 

This role will support the entire TA organisation in operating uniformly and providing a high-quality hiring experience.

• Own onboarding and operational training for recruiters, coordinators and RPO partners
• Update enablement materials to support global teams and new locations
• Promote regular use of systems, processes, and messaging throughout the team
• Support hiring managers with guidance on interviewing and scorecards
• Partner with the Employer Branding Specialist to maintain a consistent candidate experience

Skills & Experience 

We want someone experienced in TA Operations, able to quickly assess the present environment and improve the operational base that underpins our global hiring.

You should be comfortable operating in fast paced environments where infrastructure is still evolving and where bringing clarity and structure makes a meaningful difference.

Essential

• Experience in TA Operations, Recruiting or People Operations
• Strong experience building recruiting dashboards, metrics and operational reporting
• Understanding of recruiting data, hiring forecasts and workforce planning
• Proven ability to improve recruitment processes and introduce automation or tooling
• Proactive, highly organised with strong operational and analytical capability
• Comfortable bringing structure to ambiguity and pushing tasks through to completion
• Hands-on delivery approach — someone who builds and executes
• Strong communication and project management skills

Desirable

• Experience working in a high-growth technology company
• Experience supporting global hiring organisations scaling at pace

We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary   

We are looking for a Technical Product Manager to define and drive the product vision, roadmap, and feature delivery across a complex, multi-team software organisation. You will operate at the intersection of customer value, business strategy, and engineering execution—owning the “what” and “why” of the product while working closely with Product Owners, Engineering, Architecture, and Programme leadership to ensure successful delivery. 

The Team 

The software teams this role supports operate from bare metal silicon all the way to the top of the Machine learning tools stack. Our organisation is structured around component-based engineering teams within the engineering function, and you will play a key role in aligning these teams through a coherent product strategy, coordinated planning, and clear prioritisation. You will be accountable for ensuring that product direction translates into actionable work across teams, enabling both short-term delivery and long-term strategic planning. 

Responsibilities and Duties 

Product strategy and vision:

• Define and own the strategy for the Software area you represent, aligning it with the wider business and product strategy. 

• Act as the voice of the customer(s)/stakeholder(s) for the area you represent, balancing business priorities, and technical constraints. 
• Communicate product strategy clearly to engineering teams, stakeholders, and leadership. 

Feature planning and backlog ownership:

• Own the feature backlog for the Software area you represent, ensuring features are well-defined, prioritised, and aligned to outcomes. 

• Build and evolve the backlog to clearly reflect product strategy and direction. 

• Drive creation and maintenance of the long-term planning views, taking the backlog data to show projected dates and resource needs. 

• Collaborate with Technical Product Owners to refine and break down features into component-level work. 

• Ensure clear traceability from product goals → features → team backlogs.
• Make trade-off decisions on scope, sequencing, and priorities. 

Program Increment (PI) planning and coordination:

• Coordinate PI planning preparation and ceremonies, working with Technical Product Owners, Programme Management, and Agile leadership. 

• Ensure features are sufficiently refined and ready ahead of planning events.

• Align priorities and scope across component teams to enable effective planning. 
• Support the definition of clear objectives and outcomes for each planning increment. 

Cross-team coordination and alignment:

• Coordinate multiple Technical Product Owners to ensure alignment across component teams.

• Work closely with Engineering, Architecture, and Programme roles to manage dependencies and sequencing. 
• Ensure product delivery remains coherent across teams contributing to the same features.

Stakeholder engagement:

• Act as the primary interface between business stakeholders and engineering.
• Communicate roadmap progress, risks, and changes to stakeholders and customers. 

Feedback and continuous improvement: 

• Gather feedback from teams on feasibility, risks, and delivery challenges.

• Use insights from delivery (metrics, demos, retrospectives) to refine roadmap and priorities. 

• Continuously improve product planning and backlog practices across teams.

Candidate Profile 

Essential:  

Product leadership and ownership:

• Proven experience owning product vision and roadmap in a complex software environment.

• Strong ability to make prioritisation and trade-off decisions with incomplete information.

• Comfortable being both accountable and hands-on in shaping product direction.

 Collaboration and influence:

• Experience working across multiple engineering teams and stakeholders.

• Ability to align teams without direct authority.

• Strong communication skills across technical and non-technical audiences.

Delivery and planning understanding:

• Solid understanding of agile development practices, including backlog management, sprint planning, and PI planning.

• Experience coordinating planning at scale across multiple teams.

• Ability to connect long-term strategy with short-term delivery realities.

Customer and value focus: 

• Strong communicator with the ability to translate needs into actionable product direction.
• Focus on outcomes over output, with an understanding of how to measure value delivery. 

Technical awareness:

• Comfortable working with engineering teams and understanding technical trade-offs.
• Ability to engage in discussions on architecture, feasibility, and implementation constraints. 

Desirable:

• Degree in a relevant field such as Computer Science, Engineering or a related discipline.

• Certified Product Owner / Product Manager (e.g. Scrum.org PSPO, Pragmatic Institute, SAFe POPM) 

• Experience working in hardware/software integrated environments.

• Familiarity with high-performance computing, AI/ML systems, or similar domains.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary  

We are looking for a Technical Product Owner to work with a component-based software team, helping translate product outcomes into clear, prioritised, and deliverable component-level work. 

In this role, you will sit at the intersection of product intent, technical delivery, and cross-team collaboration. You will not be responsible for defining product strategy alone, nor for managing people — instead, your focus is on enabling your team to deliver the right technical outcomes & contributions to wider customer and business outcomes. 

This role is ideal for someone who enjoys working closely with engineers and developers, navigating dependencies, and bringing clarity to complex systems. 

The Team 

The software teams this role supports operate from bare metal silicon all the way to the top of the Machine learning tools stack. Our organisation is structured around component-based engineering teams within the engineering function, and you will play a key role in one or more of these teams. 

Responsibilities and Duties 

Own and Shape the Component Backlog:

• Create and maintain team roadmaps for the Program Increment (PI) and long term plan to help visualise the current backlog and communicate status and progress to all stakeholders. 

• Translate feature-level intent into actionable component-level work and feedback team intent and challenges to help shape the features with the Product Manager. 

• Maintain a clear, prioritised backlog of Epics and Stories for your component team. 

• Ensure all work is clearly linked to higher-level product outcomes. 

Support Delivery Across Sprints and Planning Increments: 

• Actively support sprint planning, reviews, demos, providing visual outputs that demonstrate progress against the plan, learnings and changes. 

• Involve the team in the right discussions to ensure desired outcomes are realistic, and the team’s ability to deliver them are clearly communicated. 

• Ensure the backlog is sufficiently maintained to prepare for PI planning, identifying dependencies and risks early and aligning with other teams on the scope taken into planning. 

• Ensure your team’s work aligns with agreed PI objectives. 

Coordinate Across Teams:

• Work closely with other Technical Product Owners, Technical Product Managers, and Technical Leads to manage cross-team dependencies. 

• Coordinate early with QA and Performance teams to support integrated delivery. 

• Help ensure integration and system behaviour are planned. 

Champion Quality, Collaboration, and Trust:

• Define clear component-level acceptance criteria and support readiness for integration and release. 

• Contributing to a growing community of practise developing ways of working to find the best way to deliver 

• Encourage open discussion, early risk-sharing, and constructive challenge. 

• Act as a servant leader: removing obstacles, protecting team focus, and enabling empowered decision-making. 

Candidate Profile 

Essential: 

• Experience working as a Product Owner (or similar role) in an agile environment. 

• Ability to communicate clearly with both technical and non-technical stakeholders. 

• Strong backlog management and refinement skills. 

• Proven experience in developing product vision and roadmaps 

• Strategic mindset with empathy and ability to bring calm, clarity and support. 

• Excellent facilitation skills, ability to guide discussions / events to conclusion 

• Ability to simplify and present complex information. 

• Confidence working with technical teams and complex systems. 

• Experience coordinating work across multiple teams or components. 

Desirable 

• Certified Scrum Product Owner (CSPO) or Professional Scrum Product Owner (PSPO) 

• Experience of working in SAFe / Scrum@scale 

• Experience with Atlassian Tool Suite.  

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

Job Summary

Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do, really makes a difference.

We are looking for a Technical Sourcing Manager who will report to the Procurement Manager and will have accountability for the delivery of project and programme procurement and cost services

The Team

The role will be as part of the Supply Chain team at Graphcore. This team is part of the Operations group and has members in Bristol and Taiwan. The team is responsible for developing and maintaining a robust manufacturing subcontract supply chain for Graphcore.

Responsibilities and Duties

• Collaborate with the Graphcore engineering team to identify and source key electrical commodities and critical components (capacitors, resistors, memory, PCBs, cabling, etc.), ensuring alignment with Graphcore’s technical roadmap and business objectives.
• Manage purchase orders and deliveries
• Negotiate, purchase, and expedite production components in support of NPI builds and business requirements
• Research and qualify new suppliers to expand the supply base
• Drive cost reduction initiatives and shorten delivery lead times
• Navigate and manage complex, multi-layer BOMs with confidence
• Monitor supplier performance and provide constructive feedback
• Track and report actual vs. planned costs (PPV)
• Partner with other operations stakeholders to maintain accurate BoM cost updates
• Verify NDA status with suppliers and coordinate renewals or execution of new agreements

Candidate Profile 

Essential:

• Strong technical / electronics background
• Experienced in EE component sourcing
• Degree/HNC or equivalent level in an Engineering/Technical Subject
• Will have experience in applying budgeting and cost control techniques within a complex environment. 
• Advanced knowledge of cost management techniques
• Have intermediate / advanced Excel skills, good knowledge of MS Office and ERP systems

About us 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

The Team

Graphcore is seeking a motivated and curious Graduate IT Infrastructure Engineer to join our Infrastructure Solutions team. This is an exciting opportunity to develop deep technical expertise while supporting the systems that power next-generation AI workloads across the business.

The Infrastructure Solutions team designs, builds, and supports the IT environments that enable our engineers to innovate at scale. We work across on-premise infrastructure, cloud platforms, networking, automation, and security — ensuring performance, resilience, and reliability throughout the organisation.

As a graduate, you’ll gain exposure to enterprise-scale infrastructure and cutting-edge AI hardware environments while learning from experienced engineers.

Responsibilities and Duties

• Supporting and maintaining internal IT infrastructure (servers, storage, networking, virtualisation)
• Assisting with cloud platform operations (e.g. AWS, Azure, GCP)
• Contributing to automation and infrastructure-as-code initiatives
• Helping monitor system performance, reliability, and security
• Troubleshooting technical issues and supporting root cause analysis
• Working collaboratively across engineering and IT teams
• Participating in infrastructure improvement projects

You’ll be supported with structured learning, mentorship, and increasing responsibility as your skills develop.

Candidate Profile

• Bachelor’s or Master’s Degree in Computer Science, Maths, Machine Learning, Data Science, or related field. 
• Passionate about infrastructure, cloud technologies, and systems engineering
• Familiar with some of the following (through study, projects, or internships):
  • Linux or Windows server environments
  • Networking fundamentals (TCP/IP, DNS, routing, firewalls)
  • Cloud platforms (AWS/Azure/GCP)
  • Scripting (Python, Bash, PowerShell)
  • Virtualisation or containerisation (VMware, Docker, Kubernetes)
• Analytical, methodical, and eager to learn
• Strong communicators who enjoy problem-solving in a team environment

We don’t expect you to know everything — we value curiosity, initiative, and a willingness to learn.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

About us  

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. 

The Team 

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Supporting the delivery and ongoing maintenance of tools and services to support the software build and release process 

• Deploy and maintain services with Kubernetes and Docker 

• Supporting the ongoing management of our Cloud Infrastructure using tools such as Terraform 

• Working closely with development teams working on the ML Software Stack (SDK) 

Candidate Profile 

Essential: 

• Bachelor or Master's Degree in Computer Science, Maths, Machine Learning, Data Science, or related field 

• Knowledge of Python/Go/Java/C++ (or similar language) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong communication skills 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 

• Experience with Grafana 

• Familiarity with cloud services (e.g. AWS) 

Benefits 

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.  

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. We develop hardware, software and systems infrastructure that unlock the next generation of AI breakthroughs and enable the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, we are part of a network of companies building some of the world’s most transformative technologies. Together, we share an ambitious vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Our teams bring together diverse perspectives across AI research, silicon design, software engineering and systems architecture. We combine deep expertise with a practical, collaborative approach to solving complex problems and turning ideas into real-world impact. 

Job Summary 

Reporting to the Head of Data & Transformation, the Business Transformation Lead is a senior individual contributor responsible for shaping and delivering complex, cross-functional change across systems, data and business processes. This role leads high-impact transformation work from discovery through implementation, combining strategic thinking with hands-on execution to improve how Graphcore operates and scales. 

Operating across business and technology domains, you will translate ambiguity into clear direction, define target outcomes, assess solution options and work closely with delivery teams to implement change. You will also provide guidance and structure to business analysts contributing to initiatives, and partner closely with a project manager to help coordinate and deliver projects effectively. You will act as a trusted partner to stakeholders, bringing structure, technical insight and practical problem-solving to initiatives that span multiple functions. 

The Team 

The Data & Transformation team sits within Graphcore’s broader business operations and technology environment. We are responsible for driving enterprise-wide change across systems, data and processes, helping the business work more effectively, make better decisions and scale in a sustainable way. 

We partner closely with teams across Finance, People, IT and other operational functions to identify opportunities, design improved ways of working and deliver technology-enabled transformation. Our work spans business analysis, process design, data improvement, solution shaping and change delivery. 

Responsibilities and Duties 

• Lead complex transformation initiatives across multiple business domains, from discovery and problem definition through to implementation and embedding. 

• Define clear problem statements, scope, success measures and delivery approaches aligned to business priorities and operational goals. 

• Partner with senior stakeholders to align on outcomes, priorities, trade-offs and decision-making, building momentum across cross-functional programmes. 

• Analyse current processes, systems and data flows to identify root causes, inefficiencies, risks and opportunities for improvement. 

• Design scalable end-to-end business processes, operating models, governance approaches and controls that support effective execution. 

• Evaluate solution options, including process, system and data changes, balancing business value, technical feasibility, integration complexity and long-term maintainability. 

• Work hands-on with data, workflows and system requirements, using tools such as SQL, Python or low-code platforms to explore issues, validate assumptions, prototype ideasand support solution design. 

• Translate business needs into clear requirements, user stories, process maps, data definitions and acceptance criteria that enable efficient delivery. 

• Collaborate closely with technical teams to shape solutions, resolve design questions and ensure alignment across applications, integrations and data structures. 

• Support delivery through build, test and release activities, helping teams prioritise backlogs, clarify requirements and maintain focus on measurable outcomes. 

• Provide day-to-day guidance and support to business analysts working across transformation initiatives, helping to raise quality, consistency and delivery effectiveness. 

• Partner closely with a project manager to support planning, coordination, dependency management and execution across complex projects. 

• Define and track KPIs and other success measures to assess impact, inform decision-making and drive continuous improvement. 

• Lead change readiness activities, including adoption planning, documentation, knowledge transfer and transition into business-as-usual operations. 

• Establish and promote strong transformation and analysis practices, raising the quality of delivery across initiatives and supporting colleagues through coaching and practical guidance. 

Candidate Profile 

Essential 

• Experience leading complex, cross-functional business transformation initiatives involving systems, data and process change. 

• Proven ability to operate at both strategic and delivery levels, shaping direction while remaining close to the detail. 

• Strong stakeholder management and influencing skills, with the ability to build alignment across senior business and technical audiences. 

• Experience supporting or guiding other analysts and working closely with project or programme management to deliver complex change. 

• Experience defining target operating models, business processes, governance approaches and success measures. 

• Strong business analysis capability, including requirements management, process mapping, problem structuring and solution assessment. 

• Practical technical fluency in areas such as data analysis, systems thinking, integrations or automation. 

• Hands-on experience using tools such as SQL, Python or equivalent approaches to analyse data, test ideas or support solution development. 

• Ability to work effectively in ambiguity, turning complex problems into clear, actionable plans. 

• Experience partnering with delivery teams across build, testing, rollout and adoption phases. 

• Strong written and verbal communication skills, with the ability to adapt messages for different audiences. 

Desirable 

• Experience in a high-growth or technology-led environment. 

• Experience working across enterprise domains such as Finance, People, IT or business operations. 

• Familiarity with SaaS implementation, vendor selection or process automation initiatives. 

• Experience with data governance, data quality improvement or migration activities. 

• Familiarity with cloud-based platforms and modern enterprise application ecosystems. 

• Experience using AI-assisted tools or approaches to improve analysis, delivery or operational effectiveness. 

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary 

We are looking for a Director of Software Architect to lead the architectural vision of the software stack for the Graphcore ML accelerator.

In this role, you lead an architecture team that will define the software architecture for Graphcore products.

You are a thought leader and an advocate for our long-term technical vision, engaging with project stakeholder, external partners and customers to ensure alignment and clarity.

You are an excellent communicator, and you proactively convey architectural decisions and changes as the product evolves.

The Team 

The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks.

The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. 

Responsibilities and Duties

• Communicate the long-term technical vision & strategy for the software architecture
• Define the processes and procedures to define, agree and maintain the software architecture.
• Act as an advocate and thought leader for the long-term technical vision across the organisation.
• Advocate for the user experience to ensure that the software architecture results in a software stack that is easy to use.  
• Manage technical and project-level architectural risks. 
• Work closely with engineering, product, leadership, and partners to ensure alignment between business goals and architectural vision. 
• Inspire, grow, mentor and develop the software architecture team.
• Clearly communicate the trade off’s for architectural decisions that have company wide impacts.
• Stay informed about trends and developments in the ML/software ecosystem.

Candidate Profile

Essential:

• Proven experience in a leadership role.
• Experience of working with silicon and hardware teams.
• Technical expertise in the ML accelerator software space.
• Excellent communication skill, both written and verbal. 
• Collaborative mindset and ability to influence. 
• Pragmatic approach to decision making, being very aware of trade-offs and implications. 
• Experience in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures.

Desirable

• Demonstrable experience in a previous architecture role. 
  
  

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

We are developing our global Emerging Talent programme to support ongoing business growth in the EMEA, APAC, and NAM regions. This role manages the global emerging talent strategy — defining ways to attract, assess, and nurture emerging talent at Graphcore. You will build how we collaborate with universities and research institutions, develop a consistent global framework for graduate and intern hiring that supports early talent from day one. This position offers a chance for someone who enjoys building programmes at scale and shaping how emerging talent joins and progresses within Graphcore. 

Key responsibilities 

Strategy   

• Define and lead the global emerging talents strategy across graduate, intern, and placement programmes 

• Scale the programme from a UK foundation to a global model 

• Set clear structures for how early talent is recognised, recruited, and nurtured throughout the organisation 

• Partner with senior leaders to understand future talent needs and align emerging talent pipelines accordingly 

• Build a scalable operating model that supports continued growth in emerging talent hiring 

University & academic partnerships 

• Define the go-to-market strategy for university engagement across global regions 

• Build and manage partnerships with key universities aligned to the organisation’s technical talent needs 

• Find opportunities to strengthen the pipeline through research collaborations, projects, or events 

• Build the approach to campus events, career fairs, and university outreach 

Assessment & selection 

• Work closely with the recruiters who will support hiring delivery, events, and candidate management 

• Build the assessment approach for graduate and intern hiring  

• Define interview frameworks and evaluation criteria aligned with technical and behavioural expectations 

• Ensure the selection process is structured, fair, and scalable across multiple geographies 

• Partner with technical leaders and hiring managers to ensure alignment on assessment standards 

• Continuously review and improve assessment methods based on hiring outcomes and feedback 

Graduate programme build & development  

• Define the structure of the global graduate development programme 

• Build the learning journey for emerging talent hires, including onboarding, training, and technical development 

• Build and deliver soft skills training sessions as part of the programme 

• Partner with engineering, product, and leadership teams to ensure graduates gain meaningful experience 

• Establish clear expectations and achievements for early career progression 

• Review and evolve the programme based on feedback and business needs 

Skills & experience 

We are looking for someone who has experience building and scaling Emerging Talent programmes within growing organisations. You should be comfortable operating globally, collaborating with senior partners, and bringing structure to programmes that are evolving quickly. 

• Experience leading or managing Emerging Talent / Graduate programmes 

• Experience crafting global early talent hiring strategies and university engagement models 

• Solid knowledge of international graduate and intern hiring procedures 

• Experience building assessment frameworks & development programmes for early careers hiring  

• Ability to establish positive relationships with universities and academic partners 

• Strong collaborator management across Talent Acquisition, People, and business leadership 

• Comfortable operating in a global environment across multiple regions 

• Proactive, organised and able to manage multiple programme elements simultaneously 

Desirable 

• Experience working in a high-growth technology or engineering organisation 

• Experience growing emerging talent programmes across international locations 

• Familiarity with technical graduate hiring (engineering, software, AI, research) 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support AI research and engineering teams 

• Deploy and maintain services with Kubernetes and Docker 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile  

Essential: 

• Knowledge of Python 

• Familiarity with cloud services (e.g. AWS) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Experience using Kubernetes (k8s) 
  
• Experience of one of the following:
  
  
• maintaining machine learning applications.
  
  
• deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot).
  
  
• managing ML accelerator hardware (e.g. DCGM).

Desirable 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with modern observability tooling (e.g. Prometheus) 

• Experience with Grafana 

• Knowledge of Go/Java/C++ (or similar language)

  Benefits

  In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. 

Job Summary 

Reporting to the Head of Data & Analytics, the Lead Analytics Engineer is a senior individual contributor responsible for owning the analytics engineering layer within Graphcore’s data platform. This role focuses on building and evolving curated data models, trusted metrics and well-documented semantic structures that enable reliable self-service analytics across the business. A key part of the role is partnering closely with stakeholders across business and technical functions to understand how teams operate, build trusted relationships, and translate real decision-making needs into clear, usable and governed datasets that support reporting, planning and operational insight. 

The Team 

The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insightand support efficient, data-informed ways of working. Within this team, the Lead Analytics Engineer owns a key part of the analytics workflow, acting as a bridge between business stakeholders and data engineers to shape data models that reflect how the business works and can be adopted with confidence. 

Responsibilities and Duties 

• Own the dbt transformation layer, building, maintaining and evolving data models that support reliable self-service analytics across Graphcore. 

• Build strong working relationships with stakeholders across business and technical functions to understand priorities, processes, definitions and decision-making needs. 

• Work closely with stakeholders to discover, clarify and challenge requirements, turning ambiguous questions into well-structured analytical datasets and trusted metrics. 

• Translate business processes and raw datasets into intuitive, flexible and governed analytical models that support reporting, planning and operational decision-making. 

• Design clear, maintainable SQL models with a well-structured approach to naming, layering, reuse and long-term sustainability. 

• Partner with stakeholders to define, document and maintain trusted metric and KPI logic, ensuring consistency as requirements evolve. 

• Implement robust testing, validation and documentation practices in dbt to improve data quality, trust and discoverability. 

• Work closely with Data Engineering to align on source data structures, manage upstream schema changes and support reliable downstream consumption. 

• Establish and maintain CI/CD practices for analytics engineering, including automated checks, review workflows and safe release processes. 

• Optimise model performance and warehouse efficiency through pragmatic design choices, including incremental approaches, efficient joins and platform-aware tuning. 

• Support self-service analytics by creating datasets that are easy to understand and consume, with clear documentation and guidance for common use cases. 

• Contribute to the effective use of visualisation and reporting tools by modelling data for dashboard performance, usability and consistency. 

• Apply appropriate governance and access control principles to analytical datasets, working with colleagues to support secure and appropriate self-service access. 

• Help shape analytics engineering standards and day-to-day practices within the wider Data & Analytics function through collaboration, review and continuous improvement. 

Candidate Profile 

Essential 

• Demonstrable experience building production-quality dbt models that enable reliable self-service analytics. 

• Strong SQL skills and experience designing maintainable transformation layers within a modern data platform. 

• Proven ability to build strong relationships with stakeholders and work closely with business users to understand requirements, processes and data needs. 

• Proven ability to translate business requirements and raw datasets into flexible, intuitive data models that stakeholders can use confidently. 

• Strong grasp of analytics engineering best practices, including model layering, documentation, testing and semantic consistency. 

• Experience defining and maintaining trusted metrics, KPIs and curated datasets for business use. 

• Strong understanding of data quality, change management and the practices needed to maintain trust in analytical outputs. 

• Experience applying CI/CD practices to analytics workflows, including automated testing, deployment discipline and review processes. 

• Experience working with relational databases and analytical warehouse technologies. 

• Strong communication skills, including the ability to influence decisions, challenge assumptions constructively and work effectively with both technical and non-technical stakeholders. 

• A practical, delivery-focused approach to problem solving. 

Desirable 

• Experience with data warehouse technologies such as Redshift, PostgreSQL or ClickHouse. 

• Experience supporting self-service visualisation and reporting tools such as Superset, Metabase or similar platforms. 

• Familiarity with semantic or metrics-layer tooling. 

• Python experience, including building lightweight data applications or utilities. 

• Experience improving dataset discoverability, documentation and adoption across an organisation. 

• Familiarity with data governance practices, including access control and sensitive data handling. 

• Experience working in a Git and pull-request based development workflow. 

• Experience working in a fast-moving product, technology or engineering-led environment. 

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore brings together deep expertise to solve complex problems and deliver meaningful progress in AI compute. 

Job Summary 

Reporting to the Head of Data & Analytics, the Lead Data Engineer is a senior individual contributor responsible for leading a key area of Graphcore’s data platform and engineering practices. This role combines hands-on technical delivery with technical leadership across data pipelines, platform capabilities and data products that support analytics, reportingand operational decision-making. Working closely with stakeholders across technical and business functions, the Lead Data Engineer helps shape the direction of the data platform, drives improvements to reliability, scalability and governance, and enables teams across Graphcore to make better use of trusted data. 

The Team 

The Data & Analytics team enables better decision-making across Graphcore by building trusted data foundations, scalable platforms and high-quality data products. The team works across a broad range of business and technical domains, partnering with colleagues throughout the company to improve access to reliable information, strengthen operational insightand support efficient, data-informed ways of working. Within this team, the Lead Data Engineer plays a key role in evolving the platform, setting engineering standards and delivering robust solutions that scale with business needs. 

Responsibilities and Duties 

• Lead the design, build and evolution of robust data pipelines and platform services that support analytics, reporting and operational use cases across Graphcore. 

• Own the data engineering stack, planning and delivering improvements to reliability, scalability, maintainability, performance and security. 

• Build and operate Python-based batch and streaming workflows, with clear approaches to orchestration, testing, deployment, monitoring and incident resolution. 

• Design and implement data solutions on AWS using services such as S3, Lambda, Aurora PostgreSQL, Athena, Glue and Redshift, ensuring they are secure, resilient and cost-conscious. 

• Define and apply engineering standards for data quality, observability, documentation, release processes and operational support. 

• Partner with analysts, engineers and business stakeholders to translate requirements into trusted datasets, well-structured data models and reusable data products. 

• Drive improvements to platform resilience through approaches such as idempotent processing, retry and recovery mechanisms, buffering strategies and backfill or replay capabilities. 

• Lead technical decision-making in your area by reviewing designs and code, sharing expertise and helping to raise the quality bar for data engineering across the team. 

• Build and maintain CI/CD workflows and development practices that enable safe, repeatable and efficient delivery of data infrastructure and workflows. 

• Ensure appropriate data protection and access controls are in place, including least-privilege access, secure secrets handling and suitable database permissions. 

• Contribute to the development of internal tools and lightweight applications that improve access to data and support self-serve workflows. 

• Work across teams to identify opportunities for platform and process improvements, helping shape the direction of data engineering within the wider Data & Analytics function. 

Candidate Profile 

Essential 

• Strong experience designing, building and operating production-grade data pipelines and data platforms in Python. 

• Strong hands-on experience with modern data orchestration, testing, deployment and monitoring practices in a production environment. 

• Experience building solutions on AWS data services, including storage, processing and query technologies. 

• Strong understanding of data modelling, data quality, schema design and performance optimisation across relational and analytical systems. 

• Experience designing reliable data systems that recover gracefully from failure and operate effectively in real-world production conditions. 

• Experience working with batch and streaming data pipelines, including operational support, troubleshooting and continuous improvement. 

• Strong knowledge of security and access control principles for data platforms, including IAM, database permissions and secure handling of credentials and secrets. 

• Experience providing technical leadership as a senior individual contributor through design reviews, code reviews, standards-setting and mentoring of others. 

• Ability to work effectively with both technical and non-technical stakeholders, turning business needs into practical, scalable data solutions. 

• Strong communication skills, with the ability to explain technical decisions clearly and influence outcomes across teams. 

Desirable 

• Experience with Prefect or a similar workflow orchestration platform. 

• Experience with streaming or data collection technologies. 

• Experience with PostgreSQL, Redshift, ClickHouse or similar database and warehouse technologies. 

• Experience with CI/CD tooling and Infrastructure as Code approaches. 

• Experience building lightweight internal tools or data applications using Python frameworks such as Streamlit or Flask. 

• Familiarity with dbt and working models that combine data engineering and analytics engineering. 

• Understanding of operational best practices for cloud-based data platforms, including cost optimisation and observability. 

• Experience working in a fast-moving product, technology or engineering-led environment. 

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Job Summary 

We are looking for a Principal Architect to define and drive the architectural vision of the software stack for the Graphcore ML accelerator.

In this role, you will shape the architecture of our software ecosystem and maintain a deep understanding of the product’s hardware and software components, their interfaces, and how they interact.

You are an excellent communicator, and you proactively convey the software architecture.

You bring a pragmatic, trade-off-aware approach to decision-making, fully recognising the impact of architectural choices on product direction and engineering outcomes. 

The Team 

The software architecture team is responsible for defining, maintaining and communicating the overarching architecture of our software stack, from firmware to ML frameworks.

The team works within the wider software organisation, partnering closely with engineering teams who deliver against this architectural vision. 

Responsibilities and Duties

• Define & document the software architecture of the software stack.  
• Work across different software domains to ensure a coherent end too end architecture.
• Clearly communicate the software architecture to engineering teams.
• Ensure teams understand key software architectural components, interfaces, and guiding principles. 
• Continuously maintain the software architecture as the product evolves. Communicate architectural changes proactively to all relevant stakeholders. 
• Stay informed about trends and developments in the ML/software ecosystem.
• Assess the architectural impact of new technologies.
• Be aware of the usability, performance, reliability, maintainability, testability, security and observability constraints on the software architecture. 
• Prototyping and validating architectural concepts through proof-of-concept implementations. 
• Contribute to future and/or related product definitions with a forward-looking mindset, understanding and communicating the impact of future direction on software architecture. 
• Work with the HW and Silicon architects to ensure product the needs of software stack. 
• Ensure the software architecture meets the product requirements.  
• Work closely with engineering, product, leadership, and partners to ensure alignment between business goals and architectural direction. 

Candidate Profile

Essential:

• Expertise in one or more of these technologies; Firmware, Drivers, ML frameworks (PyTorch, Triton, etc), Collectives, HPC, Tooling, C & C++, CPU architectures.
• Technical expertise in the ML accelerator software space.
• Excellent communication skill, both written and verbal. 
• Collaborative mindset and ability to influence. 
• Pragmatic approach to decision making, being very aware of trade-offs and implications. 

Desirable

• Demonstrable experience in a previous architecture role. 

Benefits

• In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

  Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About us 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. 

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. We bring together specialists across AI research, silicon design, software engineering and systems to solve complex problems and deliver meaningful impact. 

Job Summary 

Reporting into the Data & Transformation function, the Project Manager is responsible for delivering cross-functional transformation programmes that improve how Graphcoreoperates day to day. The role owns end-to-end delivery of initiatives that shape business processes, ways of working and change around enterprise platforms and operational activities, partnering closely with teams across IT, Finance, People, Operations and external partners to ensure outcomes are delivered in a structured, effective and sustainable way. 

The Team 

The Data & Transformation team delivers programmes that improve business processes, tooling and ways of working across Graphcore. The team focuses on shaping and landing transformation around systems and operational processes, rather than owning the systems themselves. It works across multiple functions to deliver change successfully, balancing operational needs, governance, user adoption and long-term sustainability. The team partners closely with subject matter experts, Business Analysts, technical teams and external vendors to turn business requirements into well-executed delivery. 

Responsibilities and Duties 

• Own end-to-end delivery of cross-functional projects, including scope, plans, milestones, dependencies, risks, assumptions, issues and decisions. 

• Establish and run effective project governance, including delivery cadences, status reporting, change control, clear ownership and decision tracking. 

• Coordinate delivery from initiation through go-live and stabilisation, covering planning, execution, testing, user acceptance, cutover and hypercare. 

• Partner with Business Analysts and subject matter experts to translate agreed requirements and process designs into executable delivery plans. 

• Drive alignment across internal teams and third-party partners, resolving blockers, managing dependencies and maintaining momentum against agreed outcomes. 

• Define delivery milestones, acceptance criteria and readiness checkpoints to support high-quality implementation and controlled release. 

• Ensure change is landed effectively through communication planning, training coordination, operational readiness and adoption tracking. 

• Support post-go-live follow-through, including defect triage, prioritisation, lessons learned and continuous improvement activity. 

• Ensure changes are landed in a supportable way, with clear ownership, operating processes, documentation and service expectations agreed with the relevant teams where appropriate. 

• Work with stakeholders to ensure delivery plans appropriately consider access controls, security, auditability and policy or compliance requirements. 

• Manage vendor and partner deliverables where required, ensuring expectations, responsibilities, timelines and dependencies are clearly understood. 

• Produce clear project artefacts and updates that enable informed decision-making and transparent communication across stakeholders. 

Candidate Profile 

Essential 

• Proven experience delivering cross-functional business systems and operational change initiatives, including implementations, migrations, integrations or significant process change. 

• Strong project management fundamentals, including planning, dependency management, risk and issue management, governance and stakeholder communication. 

• Experience coordinating delivery across technical and non-technical teams through testing, go-live and stabilisation. 

• Ability to work effectively in a delivery model that includes Business Analysts or equivalent partners responsible for detailed requirements and process analysis. 

• Strong written communication skills, with the ability to produce clear and effective plans, status updates, RAID logs and decision records. 

• Experience using modern delivery tools such as Jira and Confluence, or comparable platforms. 

• Strong organisational skills, with the ability to manage competing priorities and keep delivery on track in a fast-moving environment. 

• Strong collaboration and relationship-building skills, with the confidence to work across multiple functions and with external partners. 

Desirable 

• Experience delivering change across enterprise domains such as Finance, People systems, IT service management, procurement, workplace systems or identity and access management. 

• Experience planning and coordinating data migration, cutover activity and operational transition for enterprise systems. 

• Familiarity with security and access control concepts, including role-based access, least privilege and joiner, mover, leaver processes. 

• Experience working in environments with policy, audit or regulatory considerations. 

• Experience working on multi-vendor delivery programmes, organisational integration initiatives or large-scale business change. 

• Interest in, or experience with, AI-enabled workflow improvements and business system integrations. 

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop, enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.  

This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the PyTorch project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer.  

Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on frameworks other than PyTorch. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities. 

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams.

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Experience of Python development.
• Experience of developing performant C++ applications in a commercial setting.

At least one of:

• Experience of writing ML kernels.
• Experience of compiler development.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field.

Desirable: 

• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

How often do you get the chance to build a technology that transforms the future of humanity? 

Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. 

Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. 

Job Summary  
We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.   

The Software Platform team at Graphcore 

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components. 

Responsibilities and Duties

• Develop and operate Kubernetes-managed end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 
• Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. 
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Experience with managing production Kubernetes clusters and workloads with a continuous delivery tool such as ArgoCD. 
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). 
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

 
Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Programming experience with Python3 utilising classes and inheritance. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

How often do you get the chance to build a technology that transforms the future of humanity? 

Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. 

Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. 

Job Summary  
We are looking for a Senior Network Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services onour fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networkingand storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.   

The Software Platform team at Graphcore 

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components. 

Responsibilities and Duties 
 

• Develop and operate high-performance ethernet infrastructure on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 

• Help to build automation to collect and analyse metrics and other data from the network infrastructure to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments. 

• Work with our Datacentre Operations Engineers to maintain, tune and operate the fleet of AI systems at peak performance in our private clouds. 
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design, with a focus on network performance, automation and resilience. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Significant hands-on experience with 1 or more vendor’s high-end (100Gb/s+) ethernet switch solutions. 
• Experience managing on-premises or private-cloud environments.  
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems) and how they relate to high-performance networking. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with hardware offloading on RDMA-capable NICs and how that integrates with virtual networking on Open V-switch, KVM/QEMU. 
• Experience with managing production Kubernetes clusters and workloads with an automation tool such as ArgoCD. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

How often do you get the chance to build a technology that transforms the future of humanity? 

Graphcore products have set the standard in made-for-AI compute hardware and software, gaining global attention and industry acclaim. Now we are developing the next generation of artificial intelligence compute with systems that will allow AI researchers to develop more advanced models, help scientists unlock exciting new discoveries, and power companies around the world as they put AI at the heart of their business. 

Graphcore recently joined SoftBank Group – bringing large and ongoing investment from one of the world’s leading backers of innovative AI companies. 

Job Summary

We are looking for a Senior Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.   

The Software Platform team at Graphcore 

We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components. 

Responsibilities and Duties

• Develop and operate end-user services on our private clouds and support internal users in their use. You will turn end-user and product requirements into deployed services. 
• Help to build automation to collect and analyse metrics and other data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments. 
• Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds. 
• Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres. 
• Work with external vendors of off-the-shelf switches, servers and storage solutions to integrate 3rd party products into our Cloud Reference Design. 

Skills and Experience (all required) 

• Bachelor's degree or equivalent practical experience in a relevant subject. 
• Solid software engineering or IT experience with a proven track record of delivering technical output as an individual contributor. 
• Experience managing on-premises or private-cloud environments.  
• Experience working in an AGILE and SCRUM framework, including understanding of priorities, risks, issues, impacts and constraints.  
• Strong proven Linux scripting ability (bash, python, awk, sed). 
• Strong proven Linux system administration (Ubuntu, RHEL and variants). 
• Experience with a version control system (preferably Git) and using it to manage system configuration or automation. 
• Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar. 
• A solid hands-on understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring. 
• Experience with IAC automation tools (Terraform/OpenTofu, Ansible, Packer). 
• Experience with container deployment and management tools (e.g. docker). 
• Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki.  
• Good communication and presentation skills, and experience dealing with end-users of IT services. 
• An ability to work independently on critical infrastructure with minimal oversight, and with a focus on end-user availability.  

 Desirable but not required: 

• Experience with Openstack cloud platforms. 
• Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions. 
• Experience with managing production Kubernetes clusters and workloads.  
• Programming experience with Python3 utilising classes and inheritance. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Sponsorship

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems.

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible.

Responsibilities and Duties

• Develop, own, and maintain tools and services to support the software build and release process
• Deploy and maintain services with Kubernetes and Docker
• Manage our Cloud Infrastructure using tools such as Terraform
• Support the technical development of junior and graduate engineer
• Embody a strong engineering discipline for high reliability and minimal toil 

Candidate Profile 

Essential: 

• Knowledge of Python/Go/C++ (or similar language) 

• Experience deploying services in the cloud (AWS preferred) 

• Deep understanding of Linux environments 

• Native user of CI/CD for production deployments 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

Desirable 

• Experience using Kubernetes (k8s) or OpenStack 

• Experience with GitHub Actions 

• Experience with build tools (e.g. CMake) 
• Experience with modern observability tooling (e.g. Prometheus) 
• Experience with Grafana 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary 

We are seeking a Storage Engineer to be responsible for the architecture, performance, and management of the storage solutions that power our demanding EDA and HPC workloads. You will be the expert on all things storage, from high-performance parallel file systems to object storage and backup/recovery and corporate storage solutions. Your primary goal is to provide a resilient, scalable, and cost-effective storage platform that meets the requirements of our chip design and software development workflows. 

The Team 

You’ll be joining a multidisciplinary team with strong technical skills and a very supportive culture. We work closely together and regularly share knowledge, and your skills will make a direct impact on our business. It’s an exciting and pivotal moment for us right now, with plenty of new projects ahead. If you’re looking to solve interesting problems and see your work deliver real-world results, this is the team for you.  

Responsibilities and Duties 

• Manage and maintain on-premises storage platforms, including Linux-based NFS systems (e.g., ZFS) and enterprise storage arrays such as NetApp or Pure for both Corporate and Engineering workloads. 

• Manage backup and recovery systems (e.g., Rubrik, Cohesity), ensuring reliable data protection, retention, and tested restore processes. 

• Deploy and optimise scale-out or high-performance storage technologies such as Ceph, Lustre, GPFS, or WEKA to support EDA and HPC workloads. 

• Automate storage configuration, provisioning, and operational workflows. 

• Experience of managing storage in cloud environments such as AWS for engineering or backup purposes 

• Capacity planning, performance tuning, monitoring, incident response, and ongoing lifecycle management of storage services. 
• Work with vendors on hardware evaluation, procurement, updates, and support cases. 

Candidate Profile 

Essential: 

• 5+ years of experience in storage administration or engineering, with at least 3 years focused on cloud storage solutions in AWS 

• Hands on experience with enterprise storage platforms: NetApp ONTAP, Pure, DDN, Dell/EMC, etc. 

• Deep expertise in storage services, particularly NFS, CIFS, S3, and EBS 

• Hands-on experience with parallel or scale out file systems (Ceph, Lustre, WEKA, GPFS, etc.) in an HPC or high-throughput environment 

• Proven experience with backup, recovery, and DR strategies in a large-scale environment 

• Proficiency with using automation to deliver consistent storage configuration and deployment (Ansible, Terraform, Python, or similar) 

• Deep knowledge of providing storage to Virtualisation infrastructure 

• Good troubleshooting skills across storage, network, and compute boundaries. 

Desirable: 

• Experience in the semiconductor industry and familiarity with the storage demands of EDA workloads 

• Understanding of high-speed networking relevant to storage (10/25/40/100GbE, NFSv4.1, RDMA). 

• Familiarity with observability tools such as Prometheus, Grafana, or Splunk. 

• Experience of working with source control management tools such as Git. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Job Summary  

Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).  

This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.  

In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. 

Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton. 

The Team 

The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  

By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.  

Responsibilities and Duties 

• Designing and implementing new features & maintaining and supporting existing features.
• Developing and maintaining unit tests, component tests and integration tests.
• Optimising the software stack to make it more performant for our users.
• Managing complex technical tasks with cross-team dependencies.
• Managing code quality, code complexity and technical debt.
• Provide technical leadership, contributing the team’s technical direction and processes.
• Contributing to documentation, including user manuals and tutorials.
• Conducting code reviews.
• Resolving regressions, performance issues and software defects.
• Coaching and mentoring other team members.
• Contributing to a collaborative team culture.
• Contribute to continuous improvements to improve ways of working.
• Working with upstream open-source development teams. 

Candidate Profile 

Essential: 

• Demonstrable strong software engineering skills.
• Demonstrable experience of Python/C++ development.
• Demonstrable experience of compiler development. 

Desirable: 

• Experience with MLIR (or more generally: SSA-based IRs) is highly desirable. 
• Demonstrable knowledge of AI/ML.
• Understanding of computing architectures.
• Experience of maintaining and supporting a complex code base.
• Experience in profiling / optimising high performance code.
• Experience of writing ML kernels.
• Experience of using and/or development of ML Frameworks.
• Experience in a computationally intensive engineering field. 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

About Graphcore 

Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.  

It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.   

Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.  

Summary 

Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed system

The Team

The Software Infrastructure team provides critical platforms and services for software development teams across the business. Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems. We operate in squads, fostering a culture of service ownership and empowerment for our engineers. We focus on long-term engineering solutions and strive to eliminate toil wherever possible. 

Responsibilities and Duties 

• Develop, own, and maintain tools and services to support the software org 

• Deploy and maintain Kubernetes infrastructure to develop, test, and scale Graphcore hardware and its software stack 

• Manage our Cloud Infrastructure using tools such as Terraform 

Candidate Profile 

Essential: 

• Practical experience developing in Go 

• Familiarity with cloud services (AWS preferred) 

• Experience managing or developing in Linux environments 

• Understanding of CI/CD principles 

• Strong experience of Kubernetes (k8s) development and deployment 

Desirable 

• Experience developing Kubernetes Controllers 

• Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) 

• Experience with GitHub Actions 

• Experience with distributed HPC systems 

• Experience with modern observability tooling (e.g. Prometheus) 

• Knowledge of Python/C++ (or similar language) 

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

WE ARE AMDARIS 

At Amdaris, we bring together exceptional talent to deliver custom software solutions and drive digital transformation. Our acquisition by Insight last year has only solidified our standing in the market to become the leading provider of software solutions and paving the way for an exciting growth trajectory with ambitious future goals.  

Our expertise spans software development, cloud computing, IT strategy, and digital innovation, helping businesses optimise their technology and achieve their strategic objectives. With cutting-edge projects and a dynamic team, there has never been a better time to join us and be part of our journey to shape the future of technology.  

SOLUTIONS ARCHITECT (APPS & AI) RESPONSIBILITIES 

At Amdaris, we don’t just build software, we partner strategically with our clients to create intelligent, scalable digital products that delight users and accelerate business objectives. Our success is inseparable from our clients’ success, so we bring deep AI expertise and application-development know-how to every engagement. Across diverse industries and tech stacks, our consultants combine technical mastery with a passion for applying artificial intelligence to create next-generation apps and value-driven solutions.

We are seeking an experienced AI & Applications Solution Architect with a strong technical foundation and sharp business acumen. You will help organisations elevate their software strategies by embedding AI capabilities and modern app architectures into their products and platforms.

Key Responsibilities: 

• You will lead the review of client applications and their technology and product strategy.
• You will monitor emerging technologies, including AI, GenAI and machine learning trends, assessing their relevance and potential application within client solutions and strategies, and provide recommendations on adoption and integration opportunities.
• You will produce detailed reports providing guidance on enhancements, best practice, and risk mitigation. 
• Working directly with clients, you will interact with senior stakeholders to understand the business objectives and strategy; uncover and challenge technical requirements, technology approaches, methodology, security and tech stack decisions in line with business goals. 
• You will review and interpret architectural approach, infrastructure and data flows; assessing advising on best practice SDLC methodology and ways of working. 
• Investigation will include the review of architecture diagrams and technical documentation. 
• You will maintain effective internal relationships with sales, technical, product and delivery colleagues. 
• You will be confident in providing technical support during sales pitches and proposals and will help to identify and promote additional value add services. 

SOLUTIONS ARCHITECT (APPS & AI) REQUIREMENTS 

• Experience in software, application, and/or enterprise architecture methods and approaches.
• Experience in developing, deploying, and operating software solutions in the cloud. 
• Experience in a variety of programming languages and technologies. 
• Hands-on experience designing or integrating Generative AI solutions - for example, leveraging large language models, prompt engineering, or building AI-powered application features.
• Experience with Agile methodologies
• Excellent communication skills, able to articulate product requirements and business strategy to a technical and non-technical audience and influence effectively in both spoken and written form. 
• Excellent collaboration and interpersonal skills. 

LIFE AT AMDARIS 

• Private Medical Cover ✨ Your health is a priority and we’ve got you covered!
• Work from Anywhere Policy (EMEA) 🌍Flexibility to work from wherever inspires you! 
• Flexible and Hybrid working 🧑‍💻A balance between office days and home comfort. 
• Dog Friendly Office 🐾 Bring your furry friends along for the ride. 
• Competitive Employer Pension contributions 💼 We invest in your future, today. 
• Cycle to work scheme, Electric car scheme, Gym discounts 🚴 and many more flexible benefits to use at your leisure
• Health & Wellbeing app 🧘 Access mindfulness tools, positivity boosts, and wellness support anytime
• Monthly social and charitable events 💙 Build connections and give back while having fun.
• Beer on Tap!! 🍻Raise a glass to celebrate the wins.