The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference.

We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life — from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results.

As a senior engineer, you will also play a key role in shaping technical direction — authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures.

What You Will Do

• Build and evolve a frontend platform that supports complex simulation and ML workflows — from 3D visualisations to seamless API integrations and data-heavy interfaces.
• Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development.
• Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices.
• Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions.
• Own your work end-to-end — from architectural design through to deployment and maintenance in a fast-paced, agile environment.
• Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling.
• Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
• Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements.

What You Bring to the Table

• A passion for the craft — a drive for engineering excellence and a commitment to sponsoring that culture across the team.
• Strong software engineering foundations — algorithms, data structures, and system design, with a passion for writing clean, maintainable, and testable code. You are a frontend engineer, not a framework developer — you understand the web platform deeply (HTML, CSS, JavaScript, browser APIs) and can build excellent interfaces regardless of the tech stack.
• Architectural versatility — proven track record building web-based user interfaces using a variety of architectural approaches — SPAs, server-rendered applications, hybrid architectures, micro-frontends — with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them.
• Web platform depth — strong understanding of how browsers work: rendering pipelines, layout and paint, networking, caching, the JavaScript event loop, and Web APIs. You optimise from first principles, not from framework-specific recipes.
• API and data handling maturity — experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility.
• Reliability and observability mindset — experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments.
• Security and accessibility awareness — familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation.
• CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies.
• Data visualisation experience — building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users.
• Diagnostic and optimisation skills — a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles — in rendering, networking, and data processing — rather than relying on framework-level fixes.
• Communication and leadership — excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.

Ideally

• Polyglot Frontend Thinking: comfort working beyond the JavaScript ecosystem — whether that means WebAssembly, compiled-to-JS languages, or non-SPA architectures. Willingness to reach for the right tool rather than the familiar one.
• 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds.
• Design Sensibility: understanding of the limitations and trade-offs of design, layout, and typography constraints in the browser, with the ability to work with designers to reach a middle ground.
• Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns.
• Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

The Principal Software Engineer role at PhysicsX is an individual contributor role with leadership and collaboration expectations. The Principal is expected to be an effective technical thought-partner to non-technical stakeholders, and is expected to contribute strongly to an environment of growth and development in the craft of software engineering across the organisation.

Engineering Applications make PhysicsX's AI platform usable by engineers in their daily work. The product group creates workflows and interfaces that span the engineering lifecycle, from design through manufacturing to operations, enabling engineers to harness AI capabilities. The suite ranges from ready-to-use applications that ship with the platform for engineers to use directly to a composable set of extensible components for teams who need to go further. Engineering Applications ensure that impactful AI capabilities are accessible to customers at scale.

What you will do

• Engage with product managers, designers, and users of Reference Applications to fully understand the what and why of the product’s functional requirements.
• Partner with the product leadership of Reference Applications to define the art of the possible with ambitious pragmatism, defining the how and when of product development.
• Take responsibility and accountability for the implementation of components and services by a team of software engineers, and actively participate in development by contributing to source-code, documentation, and CI/CD workflows.
• Design and maintain services that are fully interoperable with PhysicsX’s other platform services, while remaining independently versioned, tested, and deployed.
• Define, evolve, and advocate for a scalable, modular front-end architecture that enables reuse, rapid development, and long-term maintainability.
• Implement standardised instrumentation for metrics, logs, and traces and take responsibility for the teams’ prompt remediation of issues in production.
• Establish performance benchmarking to measure compliance with non-functional requirements, right-size infrastructure requests, and provide appropriate SLAs.
• Participate in establishing company-wide software engineering standards through engagement with the software engineering guild.
• Participate in the growth and development of software engineers.
• Participate in the recruitment and onboarding of software engineers.

What you bring to the table

• A passion for the evolving craft of software engineering and for sponsoring a culture of excellence in the craft.
• A proven ability to act as an effective technical thought-partner to non-technical stakeholders.
• A proven ability to lead teams of software engineers in a fast-paced and iterative environment, through active participation in problem solving, coaching, and architectural decision-making.
• A solid track-record of designing, building, and maintaining application services in distributed architectures.
• Background working with Kubernetes - CKA certification, is a nice to have.
• Experience with workflow orchestration, event-driven systems, and messaging (NATS, ArgoWorkflows)
• Proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice.
• Deep understanding of frontend rendering strategies and their tradeoffs: CSR, SSR, streaming SSR
• Micro-frontend architecture: module federation, runtime composition, independent deployment, and shared dependency management across teams.
• Monorepo platform experience: Turborepo/Nx/Workspaces, with ownership of shared tooling, build pipelines, and DX abstractions across multiple frontend packages.
• Advanced TypeScript: conditional types, mapped types, and template literal types, with the ability to design type-safe API layers (tRPC, Zod, OpenAPI codegen)
• Build toolchain depth: Vite internals, custom plugin authoring, bundle analysis, and measurable build performance optimisation.
• Large-dataset rendering: virtualisation strategies (TanStack Virtual), WebGL/Canvas/WebGPU for high-performance visualisation.
• Server state architecture: TanStack Query or equivalent, cache invalidation strategy, optimistic updates, background refetching, and avoiding over-fetching at scale.
• Proficiency in Python and Go, with experience in other languages a plus (Rust, C++).
• A strong understanding of the machine learning development lifecycle.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Opportunity

We’re looking for a Content & Communications Strategist to join our Marketing & Communications team, reporting directly to the Head of Marketing & Communications. This is a rare opportunity to help shape the public voice of a fast-scaling, deeply technical company operating at the frontier of engineering and AI.

In this role, you’ll translate complex, high-value work into clear, compelling narratives across every channel where PX shows up — the website, social platforms, events, executive stages, partner channels, and internally. You’ll collaborate closely with engineers, product leaders, partner teams, leadership, and designers to turn our work into stories that build credibility, attract talent, and deepen customer engagement and confidence.

We're looking for someone who thrives at the intersection of storytelling, creative execution, and strategic alignment. You will operate as a core part of PX’s comms engine, helping build a scalable content operation and raising the creative bar across everything we publish.

We operate in a fast-moving, high-stakes environment where priorities can shift quickly and the path isn’t always linear. As we grow the team, you’ll be one of the core operators driving content delivery — which means real ownership, real impact, and real learning. If you thrive under pressure, enjoy solving problems on the fly, and like stretching beyond your comfort zone, you’ll feel at home at PX.

What You’ll Do

• Partner with the Head of Marketing & Communications to develop and maintain a unified editorial calendar across blog, website, social, events, and PR moments.
• Write and edit high-quality content — blog posts, web pages, one-pagers, long-form thought leadership, scripts, and event materials — that reflects PX’s tone of voice and raises the signal across all channels.
• Support the development of messaging and materials for executive and technical speaking engagements.
• Lead PX’s voice on LinkedIn and Instagram, sourcing content, shaping narratives, and publishing a consistent drumbeat of high-signal updates, helping amplify key moments across product, platform, partnerships, and talent.
• Ensure stylistic consistency and creative excellence across all digital touchpoints.
• Collaborate with internal teams and external agencies on the creation of video content — storyboarding, scripting, production, and review.
• Support internal communications and employer brand storytelling (#comms announcements, people-related updates, talent events, and recruiting content).
• Partner with Talent to support employer brand storytelling, creating compelling content that attracts world-class engineers and researchers.
• Work with partner organizations to produce and amplify joint content, case studies, and announcements.
• Uphold and evolve PX’s tone of voice and editorial standards across all communications.
• Track performance through comprehensive dashboards, gather qualitative and quantitative insights, and continuously refine what great looks like.

What Success Looks Like (First 90 Days)

• Develop a PX-specific content strategy grounded in our positioning, technical domain, and target audiences, with clear priorities, themes, and a structured editorial plan.
• Publish 4-6 high-quality blog posts that meet PX editorial standards (clear thesis, strong narrative, technically grounded, visually supported), supported by short-form video content for social amplification.
• Own and maintain a clean, reliable editorial calendar used by the wider team.
• Deliver event and executive materials end-to-end (slides, talking points, social), ensuring they're on-brand and engaging.
• Build strong working relationships with engineers and technical stakeholders, proactively sourcing stories and insights.
• Demonstrate clear understanding of PX’s positioning, customers, competitors, and technical domain.

About You

• 5-6 years of experience in communications, marketing, or editorial roles (agency or in-house), ideally within B2B tech, AI, engineering, or deep-tech environments.
• Exceptional writer and editor with the ability to distill technical concepts into accessible, incisive stories.
• Strong narrative and tone of voice instincts — you know what makes a story compelling and how to adapt it for different audiences and formats, while staying true to the company/stakeholder tone of voice.
• Comfortable working cross-functionally with engineers, designers, technical leaders, and commercial teams.
• High-agency, proactive, and comfortable with ambiguity; you can drive projects forward with minimal oversight.
• Strong judgment and discretion, able to handle sensitive information and high-stakes content.
• You operate with high ownership and motivation — you don’t wait to be told what to do.
• You don't compromise on quality or level of attention to detail, regardless of the format you're working with.
• You are comfortable working at pace and flexing when needed.
• You are excited to engage deeply with technical material, not just simplify it.
• You can develop PX-specific content strategy grounded in our technical domain, customers, and positioning — not templated frameworks.
• You demonstrate editorial judgment: identifying what’s new, what’s redundant, and what’s worth saying.

Bonus Points

• Experience supporting executives with talks, presentations, and event materials.
• Familiarity with visual design workflows (Figma, Adobe Suite) or working closely with design teams/agencies.
• Experience working with or around video production.

This role is the right fit if:

• You do your best work when you have ownership and room to shape things, rather than waiting for a fully formed brief.
• You're genuinely comfortable — maybe even energized — by complex technical subject matter, and you know how to get up to speed fast.
• You use AI as a tool to streamline projects and sharpen your thinking, not as a substitute for it.
• You're flexible about how and when you work, and you take deadlines seriously.
• You hold yourself to a high standard and actively look for ways to raise the bar on your own output.

What We Offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
• Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
• Own Research work-streams at different levels, depending on seniority.
• Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
• Collaborate with colleagues beyond the research team to translate your models into production-ready code.
• Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.
• Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
• Ability to scope and effectively deliver projects.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
  1. operator learning (neural operators), or other probabilistic methods for PDEs;
  2. geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
  3. generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
• >2 years of experience in a data-driven role in a professional industry setting (excluding post-doc positions), with exposure to:
  • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
  • developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
  • iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
  • combining theoretical reasoning with empirical intuition to guide investigation;
  • formulating and running experiment pipelines to benchmark models and produce comparable results;
  • writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
• Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems.
• Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain.
• Transform prototype model implementations to robust and optimised implementations.
• Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services.
• Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute.
• Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success.
• Own Research work-streams at different levels, depending on seniority.
• Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
• Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products.
• Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering.
• Ability to work autonomously and scope and effectively deliver projects across a variety of domains.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:
  
  • Scientific computing;
  • High-performance computing (CPU / GPU clusters);
  • Parallelised / distributed training for large / foundation models.
• Ideally >2 years of experience in a data-driven role in a professional setting, with exposure to:
  • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus);
  • distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);
  • cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);
  • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
  • C/C++ for computer vision, geometry processing, or scientific computing;
  • software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);
  • container-ization and orchestration (Docker, Kubernetes, Slurm);
  • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Shape Research group strategy and culture in a significant way, especially in domains of expertise.
  • Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack.
  • Define necessary profiles to execute this strategy.
  • Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.
  • Nurture younger colleagues to grow their skillset and guide their professional development.
• Own Research work-streams at a high-level to deliver outcomes.
  • Align priorities with problem stakeholders, internal and external.
  • Set the technical direction for the stream and apply judgement and taste to drive progress.
  • Plan roadmaps with clear milestones for key decisions and outcomes.
  • Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.
  • Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.
• The below activities in particular.
  • Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems.
  • Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain.
  • Transform prototype model implementations to robust and optimised implementations.
  • Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services.
    • Work with research scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute.
  • Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success.
  • Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
  • Work at the intersection of data science and software engineering to translate the results of our Research into re-usable libraries, tooling and products.
  • Foster a nurturing environment for colleagues with less experience in ML / Engineering for them to grow and you to mentor.

What you bring to the table

• Enthusiasm about developing machine learning solutions, especially deep learning and/or probabilistic methods, and associated supporting software solutions for science and engineering.
• Ability to work autonomously and scope and effectively deliver projects across a variety of domains.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following:
  • scientific computing;
  • high-performance computing (CPU / GPU clusters);
  • parallelised / distributed training for large / foundation models.
•  4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in most of the below:
  • • scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus);
    • employing distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton);
    • employing cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP);
    • building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications;
    • building or using C/C++ for computer vision, geometry processing, or scientific computing;
    • following and promoting software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps);
    • container-izing and orchestrating compute tasks (Docker, Kubernetes, Slurm);
    • writing pipelines and experiment environments, including running experiments in pipelines in a systematic way.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple levels and positions, however please only apply for the role that best aligns with your skillset and career goals.

What you will do 

• Own Research work-streams at a high-level to deliver outcomes.
  • Align priorities with problem stakeholders, internal and external.
  • Set the technical direction for the stream and apply judgement and taste to drive progress.
  • Plan roadmaps with clear milestones for key decisions and outcomes.
  • Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.
  • Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.
• Contribute towards Research group strategy and culture.
  • Identify research areas that would be valuable to the company and champion their development, ordering wrt other research objectives.
  • Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.
  • Nurture younger colleagues to grow their skillset and guide their professional development.
• The below activities in particular.
  • Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations.
  • Build models to predict the behaviour of physical systems using state-of-the-art machine learning and deep learning techniques.
  • Discuss the results and implications of your work with colleagues and customers, especially how these results can address real-world problems.
  • Collaborate with colleagues beyond the research team to translate your models into production-ready code.
  • Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non-academic audiences.

What you bring to the table

• Ability to scope and effectively deliver projects.
• Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering.
• Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills — with teams and customers alike.
• PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following:
  1. operator learning (neural operators), or other probabilistic methods for PDEs;
  2. geometric deep learning or other 3D computer vision methods for point-cloud or mesh-structured data;
  3. generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non-parametric, scaling to large datasets, etc.).
• Ideally, >4 years of experience in a data-driven role in a professional industry setting, where you have been instrumental in:
  • building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch / CUDA, ideally with exposure to JAX, NumPy / SciPy), especially including deep learning applications;
  • developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical);
  • iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance;
  • combining theoretical reasoning with empirical intuition to guide investigation;
  • formulating and running experiment pipelines to benchmark models and produce comparable results;
  • writing skills for communication complex technical concepts to peers and non-peers, tailoring the message for the required audience.
• Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

The Senior Simulation Data Engineer will extend and operate the infrastructure that powers our research Data Factory. You will be responsible for the end-to-end pipeline: from geometry preparation and simulation orchestration through validation, post-processing, and delivery to downstream ML training systems, using PhysicsX platform orchestration services where synergies exist.

This role sits at the intersection of HPC engineering and data engineering. You will orchestrate long-running CFD simulations at scale, build robust data pipelines, and ensure that every simulation we produce meets rigorous quality standards.

Team Context

In this role, you will be vertically embedded in Research , working daily with:

• Research Scientists who define data requirements and quality standards
• ML Engineers who consume Data Factory outputs for model training
• ML Infrastructure Engineers who are accountable for downstream training infrastructure

You will have end-to-end responsibilities over the Data Factory, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably.

Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company.

What you will do

Simulation Orchestration

• Extend and operate the Data Factory infrastructure that orchestrates thousands of CFD simulations per day on cloud compute
• Design and operate job scheduling systems that maximize throughput while handling failures gracefully
• Build monitoring and alerting to detect simulation failures, convergence issues, and resource bottlenecks early

Data Pipeline Engineering

• Build high-performance data pipelines that move simulation outputs from solver results to ML-ready training data
• Implement geometry preprocessing workflows (mesh preparation, morphing, watertightness validation)
• Design and operate post-processing pipelines: surface decimation, field interpolation, format conversion
• Optimize I/O performance for large mesh datasets

Data Quality and Validation

• Implement comprehensive validation checks at every pipeline stage: solver convergence, physical field bounds, post-processing fidelity
• Build systems that capture and quarantine bad data before they reach training pipelines
• Track and report data quality metrics across the entire Data Factory
• Work towards full provenance: training samples should be traceable back to their source geometry and simulation configuration

Integration and Delivery

• Deliver validated datasets to downstream ML training infrastructure in formats optimized for efficient data loading
• Design data versioning and cataloging systems that support reproducible training runs
• Work closely with ML Infrastructure Engineers to ensure smooth handoff between data production and model training
• Support multi-dataset training workflows

What you bring to the table

• Ability to scope and effectively deliver projects, prioritising activity as needed.
• Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations.
• 5+ years of experience in data engineering, HPC engineering, or simulation infrastructure.
  • Strong experience with orchestration systems: SLURM, Kubernetes, Temporal
  • Production data pipeline experience: you've built and operated pipelines that process large volumes of data reliably
  • Proficiency in Python for pipeline development and automation
  • Systems engineering fundamentals: Linux, networking, storage systems, performance debugging
  • Experience with cloud infrastructure; ****ideally CoreWeave or similar GPU/HPC-focused clouds
  • Background in HPC for simulation engineering: experience with CFD, FEA, or similar computational workflows (StarCCM+, OpenFOAM, ANSYS, etc.)
  • Experience with geometry processing: mesh manipulation, CAD formats, PyVista
  • Familiarity with scientific data formats: HDF5, VTK, NetCDF, Zarr
  • Data quality engineering experience: validation frameworks, anomaly detection, data observability

Ideally

• Understanding of CFD fundamentals, enough to interpret solver outputs and validation metrics
• Experience with 3D geometry pipelines (mesh decimation, field interpolation)
• Familiarity with ML data loading patterns and how training systems consume data

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high-fidelity multi-physics simulation through AI inference.

We're looking for a Senior Software Engineer with a strong background in building data platforms. You won't just be moving data from A to B - you'll be architecting and building the distributed systems, services, and APIs that form the backbone of our platform. You'll bridge the gap between complex physical simulations and modern data infrastructure, implementing storage solutions for AI/ML pipelines and creating the analytical layers that allow our engineers to visualise and understand their results.

As a senior engineer, you'll shape technical direction by authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This role is for builders who love coding robust software as much as designing efficient data architectures.

What You Will Do

• Design and architect scalable distributed systems, microservices, and APIs for high-dimensional simulation data across the machine learning lifecycle — from data processing and model training to inference services.
• Build and maintain systems that execute user-submitted code safely, robustly, and securely — including sandboxing, resource isolation, and access controls.
• Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing — powering active learning loops.
• Build interoperable no-code and pro-code tools for enterprise users with varying skill levels.
• Architect and integrate modern Data Warehouses, Data Lakes, and high-performance storage solutions to handle the unique demands of complex simulations, multimodal data and deep learning workloads.
• Build internal tools that enable BI dashboards and scientific data visualizations, making large datasets intuitive and accessible.
• Define system architecture for new capabilities, making trade-offs across performance, reliability, cost, and developer experience.
• Own your work end-to-end — from architectural design through deployment and maintenance in a fast-paced, agile environment.
• Define reliability guarantees, quality of service metrics, and performance standards for the services you own. Proactively diagnose and resolve complex performance bottlenecks.
• Develop and enforce API schema standards and schema drift mitigation strategies. Ensure compliance with established patterns for security, data segregation, and access control.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records. Participate in Technology Radar reviews to evaluate and adopt new tools and approaches.
• Mentor junior and mid-level engineers, facilitate technical discussions, build consensus around architectural decisions, and translate research needs into well-defined technical requirements.
• Influence engineering roadmap and contribute to technical strategy beyond your immediate team.

What you bring to the table

• A passion for the craft — you're driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations — solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang or Rust and Python.
• Distributed systems and data engineering experience — proven track record building big data processing platforms in production, moving beyond scripting to robust engineering solutions (e.g., Databricks/Delta Lake, Snowflake, BigQuery). Hands-on experience architecting Data Warehouses and Data Lakes.
• API and service design maturity — experience designing multi-service systems with attention to schema governance, forward compatibility, and data access patterns.
• User code execution — experience building systems that run user code safely, robustly, and securely, with an understanding of sandboxing, isolation, and threat models.
• Multimodal data handling — experience working with storage engines or databases that handle diverse data types, including relational data, vector embeddings, and large binary blobs.
• Security awareness — familiarity with designing for security requirements and participating in security testing and compliance workflows.
• Reliability and observability mindset — experience providing QoS guarantees, implementing monitoring and alerting, and optimising observability in production.
• CI/CD and deployment expertise — hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments.
• Diagnostic and optimisation skills — proactive approach to diagnosing performance bottlenecks in data processing and storage systems.
• Communication and leadership — excellent communication skills to understand data needs from research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions.
• Incremental mindset — you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Ideally

• Polyglot programming — deep expertise in Python and mastery of high-performance compiled languages like Golang, C++, or Rust.
• Big data scale — experience designing and maintaining big data systems, with a track record of running complex analytics on massive datasets in production.
• Domain knowledge — understanding of 3D geometry processing (meshes, point clouds) and data structures used in physics-based simulations.
• Advanced testing — experience with fuzzing, deterministic simulation testing, or fault injection in production systems.
• Kubernetes expertise — ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, ArgoCD, Helm charts).
• Infrastructure flexibility — understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Software Engineer – Platform Runtime London (Hybrid) | Engineering | Full Time

The Role

PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train and deploy Deep Physics Models. As the platform scales to meet the demands of world class engineering teams, we are investing heavily in the runtime layer that underpins all workload scheduling, lifecycle management and compute orchestration.

We are looking for a Senior Software Engineer to join our Platform Runtime team. This role sits at the heart of how we extend Kubernetes to support the complex, long running and resource intensive workloads that PhysicsX customers depend on. You will own the design and delivery of Kubernetes Operators and runtime components that define how our platform provisions, manages and recovers workloads at scale.

This is a deeply technical, hands on engineering role. You will work closely with Platform SRE, Data Integration and product teams to define runtime contracts, surface observability and ensure the platform is reliable, extensible and operable in production.

• Design, build and operate production grade Kubernetes Operators that manage the full lifecycle of PhysicsX workloads, including provisioning, scaling, health management and graceful termination.
• Own the runtime architecture across multi cloud and on premises environments, ensuring consistent behaviour regardless of where compute runs.
• Drive the adoption and evolution of service mesh capabilities using Istio, including traffic management, mutual TLS and observability integration.
• Design and implement virtual cluster strategies using vCluster or equivalent tooling to support multi tenancy and workload isolation at the runtime layer.
• Collaborate with platform and infrastructure teams to define and maintain clear runtime interfaces and contracts.
• Establish and own reliability practices for runtime components, including SLOs, alerting and incident playbooks.
• Mentor engineers across the platform organisation and contribute to engineering standards, design reviews and technical direction.
• Evaluate and integrate upstream Kubernetes ecosystem tooling, contributing back where appropriate.

What You Bring to the Table

• Kubernetes Operator experience – you have designed, built and operated at least one production Kubernetes Operator. This is a firm requirement for the role.
• Golang expertise – 3 or more years of professional Golang development. You write idiomatic, testable and maintainable Go and are comfortable leading code reviews and establishing patterns.
• Deep Kubernetes knowledge – you understand the Kubernetes API machinery, reconciliation loops, controller runtime, admission webhooks and custom resource definitions inside out.
• Service mesh experience – hands on experience with Istio in a production environment, covering traffic shaping, observability, mTLS and policy enforcement.
• Multi tenancy and isolation – experience with vCluster, Capsule or equivalent tooling to provide workload and namespace isolation within shared Kubernetes clusters.
• Distributed systems background – a strong understanding of how to design and troubleshoot distributed systems at scale, including consensus, failure modes and recovery strategies.
• Multi cloud and on premises – experience operating Kubernetes across multiple cloud providers and on premises infrastructure, with an appreciation of the differences in networking, storage and permission management.
• Software engineering foundations – you are comfortable writing production code and are expected to do so regularly.
• Platform engineering mindset – you think in terms of internal products, developer experience and long term maintainability, not just delivery.
• AI infrastructure tools familiarity - You are familiar and/or have professional experience with software suites typically used to manage data and pipelines at scale, such as Kubeflow, Kedro, Kubetorch among others.

Ideally

• Experience contributing to open source Kubernetes projects or the wider CNCF ecosystem.
• Exposure to GPU workload scheduling or accelerated compute environments.
• Experience with Terraform and/or Crossplane for infrastructure provisioning.
• Background in simulation, ML platform engineering or HPC environments.
• Kubernetes certifications such as CKA, CKAD or CKS are a welcome signal of structured knowledge.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Software Engineer – SRE Core Infra London (Hybrid) | Engineering | Full Time

The Role

PhysicsX is growing rapidly and so is the infrastructure that underpins our platform. We are building core infrastructure that is reliable, secure, scalable and reproducible across multiple cloud providers and on premises environments. As the platform evolves to serve increasingly complex engineering workloads, the foundational infrastructure layer becomes ever more critical.

We are looking for a Senior Software Engineer to join our Platform SRE Core Infrastructure team. This role is responsible for the design, provisioning and operation of the shared infrastructure that the entire PhysicsX platform depends on. You will work across infrastructure as code, Kubernetes cluster management, secrets management, GPU drivers, networking and multi tenancy architecture to ensure the platform is dependable, scalable and secure.

This is a role for an engineer who combines deep infrastructure expertise with a reliability engineering mindset and an appreciation for the developer experience of the teams that consume the platform.

What You Will Do

• Own the design and delivery of core infrastructure across multi cloud providers (AWS, GCP, Azure) and on premises environments using Terraform and Crossplane.
• Architect and operate Kubernetes clusters supporting both single tenant and multi tenant workloads, with a strong emphasis on isolation, performance and reliability.
• Define and implement infrastructure provisioning patterns using Crossplane compositions and Terraform modules, ensuring reproducibility and auditability across environments.
• Design and operate secrets management solutions, including dynamic secret provisioning, rotation and fine grained access control integrated with cluster identity.
• Manage and maintain GPU driver configurations and accelerated compute node pools, ensuring compatibility and performance for AI and simulation workloads.
• Own cluster networking design including CNI selection, Istio service mesh integration, ingress strategy and cross cluster connectivity.
• Implement and maintain vCluster based multi tenancy to provide strong workload isolation within shared infrastructure.
• Develop lightweight Kubernetes Operators or controllers where automation of infrastructure lifecycle tasks requires it.
• Establish SLOs and reliability targets for core infrastructure components and lead the response to production incidents.
• Partner with security and platform teams to enforce infrastructure governance, network policies and compliance controls.
• Contribute to and uphold engineering standards across the platform organisation.

What You Bring to the Table

• Kubernetes depth – 5 or more years of professional experience operating Kubernetes in production. You have a thorough understanding of cluster architecture, the scheduler, networking, storage and the API lifecycle. Kubernetes certifications such as CKAD, CKA or CKS are highly desirable.
• Crossplane expertise – significant hands on experience designing and operating Crossplane compositions, providers and managed resources in production environments.
• Terraform proficiency – strong experience authoring, structuring and operating Terraform at scale, including state management, module design and CI integration.
• Multi cloud and on premises – practical experience operating infrastructure across more than one cloud provider and on premises environments, with an understanding of the differences in identity, networking and storage.
• Multi tenancy architecture – experience designing and implementing both single tenant and multi tenant Kubernetes architectures, with strong views on isolation, resource governance and operational overhead.
• Secrets management – experience with tools such as Vault, External Secrets Operator or cloud native secret stores, including dynamic provisioning and rotation.
• Networking – solid knowledge of Kubernetes networking, CNI plugins, Istio service mesh and ingress patterns. Experience with cross cluster or hybrid connectivity is valuable.
• vCluster and virtual clusters – experience using vCluster or similar tooling to provide lightweight, isolated Kubernetes environments within shared clusters.
• GPU and accelerated compute – familiarity with GPU driver management, device plugins and the operational considerations of running accelerated workloads in Kubernetes.
• Kubernetes Operators – at least lightweight experience writing or extending Kubernetes Operators or controllers, ideally in Golang or Python.
• Software engineering capability – you are comfortable writing code to automate and extend infrastructure. Python and Golang are the primary languages used across the platform. Exposure to functional programming languages such as Erlang, Elixir or OCaml is appreciated.
• Platform engineering mindset – you think about infrastructure as a product consumed by engineering teams and prioritise usability, documentation and long term maintainability.
• Distributed systems experience – a solid grounding in distributed systems concepts, including failure modes, consistency and the operational challenges of running systems at scale.

Ideally

• Experience with GitOps workflows using tools such as Argo CD or Flux.
• Contributions to open source infrastructure or Kubernetes ecosystem projects.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply.

The role

What you’ll do

• Partner directly with customers to assess their infrastructure requirements, security constraints, and deployment preferences, serving as the primary technical point of contact throughout the deployment lifecycle
• Build and maintain strong relationships with customer technical teams and stakeholders
• Gather customer feedback and requirements to inform platform development priorities
• Design and execute deployment strategies for customer-owned cloud and on-premise infrastructure
• Troubleshoot complex deployment issues across diverse infrastructure environments, understanding the difference between application and infrastructure bugs and triage internally
• Act as a system validator to ensure our platform works within customer infrastructure
• Continuously apply and improve deployment best practices and standards, and coach colleagues in their adoption
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site

What we’re looking for

• Experience in deploying Kubernetes clusters across a range of cloud platforms (AWS, Azure) and on-premise infrastructure
• Experience with infrastructure-as-code tools, preferably Crossplane, Terraform, and Helm
• Understanding of networking, security, and observability in containerised environments
• Proven track record of working directly with external customers or clients
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences, including managing expectations and delivering on commitments
• Strong problem-solving skills with a customer-first mindset
• Comfortable presenting to technical and business stakeholders
• Self-motivated with strong project management and organisational skills to empower internal and external teams to prioritise effectively
• Collaborative approach with the ability to work effectively across various teams
• Experience in a customer-led, customer success, professional services, or solutions engineering role is a plus
• Experience in regulated industries or high-security environments is a plus

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Who We’re Looking For

What you'll do

• Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes.
• Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies.
• Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces.
• Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines.
• Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost.
• Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale.
• Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models.
• Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth.
• Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together.

What we're looking for

Core simulation skills

• Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models
• DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent
• Coupled CFD–DEM workflows for particle–fluid systems
• Heat and mass transfer modelling
• Reacting flows and phase-change processes (advantageous)
• Proficiency in Star-CCM+, OpenFOAM, or Fluent

Engineering and workflow

• 3–5 years post-graduate experience in industry (not research)
• MEng, MSc, or PhD in mechanical, chemical, or process engineering
• Python scripting and simulation automation
• DoE, surrogate modelling, and design space exploration
• Parametric CAD modelling (NX or CATIA advantageous)
• Strong written and verbal communication with technical and non-technical audiences

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals.

The Role

The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within our Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale.

Team Context

In this role, you will be vertically embedded in Research, working daily with:

• Research Scientists who determine the model architectures and methods
• ML Engineers who implement and develop the models
• Simulation Data Engineers who are accountable for upstream data pipelines

You will have end-to-end responsibilities over the research infrastructure, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably.

Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company.

What you will do

Training Infrastructure

• Design and operate distributed training infrastructure for neural operator architectures (Transolver, Point Cloud Transformer, etc.) on our large NVIDIA DGX B200 platform.
• Optimize training pipelines for throughput, fault tolerance, and cost efficiency, including checkpointing strategies, gradient accumulation, and multi-node synchronization.
• Build and maintain experiment tracking and observability systems that give researchers clear visibility into training runs, hyperparameter sweeps, and model performance.

Data I/O and Performance

• Solve data loading bottlenecks for large-scale mesh datasets.
• Optimize data pipelines for efficient I/O from cloud storage, including prefetching, caching, and format optimization.
• Work with heterogeneous data sources of varying formats and resolutions.

Model Serving and Deployment

• Build serving infrastructure for pre-trained LPMs, supporting both zero-shot inference and uncertainty quantification (Monte Carlo Dropout).
• Design and implement model packaging pipelines for customer deployment. Models must run reliably in customer environments with fine-tuning capabilities.
• Ensure reproducibility: any model checkpoint should be deployable with consistent behaviour.

Platform and Tooling

• Improve developer experience for the Research team with fast iteration cycles, reliable CI/CD, clear debugging tools.
• Collaborate with the broader Infrastructure team on shared patterns and standards.

What you bring to the table

• Ability to scope and effectively deliver projects, prioritising activity as needed.
• Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations.
• 5+ years of experience building and operating ML infrastructure at scale:
  • Deep expertise in distributed training: you've debugged NCCL hangs, optimized collective communication, and know when to use FSDP vs. DDP vs. pipeline parallelism
  • Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization
  • Production experience with Kubernetes and SLURM for job orchestration on GPU clusters
  • Proficiency in Python and ML frameworks (PyTorch strongly preferred)
  • Experience with cloud GPU infrastructure; ideally CoreWeave or similar GPU/HPC-focused clouds

Ideally

• Experience with geometric deep learning or neural operators, ****architectures that operate on meshes, point clouds, or graphs
• Background in HPC for simulation engineering, familiarity with how CFD/FEA workflows generate and consume data
• Experience building model serving infrastructure with latency and throughput requirements
• Familiarity with experiment tracking tools (Weights & Biases, MLflow) and observability stacks (Prometheus, Grafana)
• Experience packaging models for deployment into customer environments (containers, model registries, versioning)

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Mission

We’re looking for an enthusiastic and opinionated Principal AI Engineer to define how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to architect the Agentic stack within this wider ecosystem. You will build a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.

• You will set the strategic direction for our platform's critical infrastructure and lead key implementation efforts.
• You are someone with the scar tissue of running agents in production.
• You have strong, reasoned opinions on emerging open standards (such as MCP, A2A, and ACP) and deep expertise in complex architectural patterns like durable execution and agent memory.
• You are passionate about building a world-class developer experience that transforms complex research into robust, deployed engineering solutions.

Core Responsibilities

You will serve as the principal architect for our Agentic ecosystem, responsible for the high-level design choices that define how agents run at PhysicsX. You will cover topics such as:

• Agent Observability: Own the implementation to enforce deep tracing, granular cost tracking, and observability across the lifecycle.
• Agent Deployment: Deliver an intuitive deployment lifecycle which simplifies questions around auth, discoverability and resource requirements.
• Agent Sandboxing: Architect secure environments to isolate and allow agents to operate safely.
• Agent Evals: Implement a stack that empowers domain experts to efficiently annotate traces, turning qualitative feedback into quantitative, reproducible evaluation datasets.
• Agent Governance: Implement robust identity and access patterns to ensure agents can safely and correctly act on behalf of users in a regulated enterprise environment.

The Tech Stack

• Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
• Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
• Observability & Evals: OTel, LangSmith, Arize, Braintrust.

Who You Are

• An Architect at Heart: You have strong, reasoned opinions on Durable Execution vs. Standard Async, Vector Search vs. Keyword Search, and Prompt Management strategies.
• Platform-First: You care deeply about the Developer Experience (DevEx) of the Customers, FDEs consuming your platform. You build tools that make the "right way" the "easy way."
• Security-Minded: You understand the risks of allowing LLMs to execute code and access data, and you know how to mitigate them via rigid sandboxing and permissioning.

Qualifications

• Platform & Backend Foundations:
  • 4+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
• Agentic & AI Engineering:
  • Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Bonus Points

• Background in Engineering workflows or simulation platforms.
• Experience building internal developer platforms (IDPs).

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

Senior Platform Engineer – Platform Operations London (Hybrid) | Engineering | Full Time

The Role

As PhysicsX scales, the operational health, cost efficiency and developer experience of our platform become as important as the underlying infrastructure. Our Platform Operations team is responsible for everything that makes the platform observable, governable and pleasant to work with, from the monitoring stack and alerting pipelines through to the developer portal, CI/CD tooling and cloud cost management.

We are looking for a Senior Engineer to join Platform Operations. This is a role for someone with a strong DevOps background who cares deeply about operational excellence, developer experience and the sustainable cost of running infrastructure at scale. You will work closely with Platform SRE, Core Infrastructure and product engineering teams to ensure the platform is always observable, efficient and easy to consume.

What You Will Do

• Own and evolve the platform monitoring and observability stack, including Grafana, Loki, Mimir and associated alerting and dashboarding practices.
• Define and maintain SLO dashboards and alerting policies that give platform and product teams clear visibility into system health.
• Lead the adoption and operation of Backstage as the internal developer portal, building and maintaining plugins, service catalogue entries and golden path templates that improve the developer experience across PhysicsX.
• Drive FinOps practices across the platform, including cloud cost attribution, showback and chargeback reporting, and cost anomaly detection across multi cloud environments.
• Implement and maintain IAM and permissions policies across AWS, GCP, Azure and equivalent cloud providers, ensuring least privilege access is enforced consistently.
• Contribute to lightweight security practices including audit logging, vulnerability scanning integration in CI pipelines and policy enforcement using tools such as OPA or Kyverno.
• Collaborate with Core Infrastructure and Runtime teams to surface operational insights and feed operational learnings back into infrastructure and runtime design.
• Drive incident response practices, including runbook creation, post mortem facilitation and reliability improvement initiatives.
• Contribute automation and tooling in Python or Golang to reduce toil and improve platform operability.

What You Bring to the Table

• DevOps and platform operations background – significant experience in a platform operations, DevOps or SRE role, with a track record of improving reliability, observability and developer experience in a fast moving engineering environment.
• Observability stack expertise – deep familiarity with the Grafana ecosystem, including Loki for log aggregation, Mimir or Prometheus for metrics, and Grafana for dashboarding and alerting. Experience designing observability strategies for distributed systems.
• FinOps and cost observability – practical experience implementing cloud cost attribution and reporting across multi cloud or multi tenant environments, including familiarity with tools such as OpenCost, Kubecost or cloud native cost management consoles.
• Kubernetes knowledge – solid operational familiarity with Kubernetes, sufficient to deploy, debug and manage platform components and understand how infrastructure decisions affect operational outcomes.
• Security awareness – lightweight but genuine experience with security tooling, including policy enforcement (OPA, Kyverno or equivalent), audit logging and vulnerability scanning integrated into delivery pipelines.
• Multi cloud familiarity – experience working across more than one cloud provider, with an appreciation for the differences in IAM, networking and cost models.
• Software engineering capability – you are comfortable writing scripts and tooling to automate operational tasks. Python is the primary language expected; Golang familiarity is a bonus. Interviews will include a coding element.
• Communication and collaboration – you can translate operational data and platform health into clear, actionable insight for engineering teams and leadership.

Ideally

• Experience with Terraform or Crossplane for infrastructure provisioning, even if infrastructure ownership sits with a separate team.
• Familiarity with GitOps workflows using Argo CD, Flux or equivalent tooling.
• Experience with on premises or hybrid infrastructure environments.
• Background in ML platform, simulation or HPC operational environments.
• Kubernetes certifications such as CKAD or CKA are a welcome indication of structured Kubernetes knowledge.
• Exposure to functional programming languages such as Erlang, Elixir or OCaml.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.

We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations, empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace, Materials, Energy, Semiconductors, and Automotive.

The Role

PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. Our platform serves multiple tenants across highly regulated industries, making robust identity, access control, and operational visibility foundational to everything we do.

We're looking for a Senior Software Engineer to join our Core Services team, the team building the foundational primitives that gives our customers superpowers they've never had before. For decades, engineers have been trapped using siloed, rigid tools from the 90s. We're changing that by enabling secure, permissioned collaboration at the frontier of AI.

You'll design and build the enterprise grade systems that make this possible. From fine-grained permissions to instrumentation, you'll create the primitives that every product across PhysicsX adopts, ensuring every user, service, and agentic workflow is securely identified, correctly scoped, and fully observable. You'll own the infrastructure that keeps our platform trustworthy, transparent, and ready for the future of manufacturing and engineering.

What You Will Do

• Design and implement authentication and authorisation systems, including identity provider integrations, token management, session handling, and SSO flows.
• Architect and build fine-grained role-based and attribute-based access control (RBAC/ABAC) models that scale across multi-tenant environments.
• Own the platform's permissions layer end-to-end: from policy definition and enforcement through auditing and compliance reporting.
• Build and maintain telemetry infrastructure distributed tracing, structured logging, metrics collection, and alerting, to provide deep observability across services and environments.
• Define and enforce security standards across APIs and services, including schema governance, data segregation, and least-privilege access patterns.
• Design and implement identity and access patterns for AI agents, including MCP authentication, agent impersonation flows, and system account models that allow agents to act securely on behalf of users in a regulated, multi-tenant environment.
• Contribute to the design of multi-service architectures, ensuring authentication and authorisation concerns are cleanly integrated and consistently enforced across both human and agentic workflows.
• Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code. Build and maintain deployment pipelines, including zero-downtime and multi-service deployments.
• Author and review Technical Decision Records. Participate in technology reviews to evaluate and adopt new tools and approaches.
• Mentor junior and mid-level engineers, facilitate technical discussions, and build consensus around architectural decisions.

What you bring to the table

• A passion for the craft, you're driven by engineering excellence and committed to fostering that culture across the team.
• Strong software engineering foundations, solid grasp of algorithms, data structures, and system design. You write clean, maintainable, testable code and have strong command of Golang and Python.
• Authentication and identity expertise, hands-on experience building or integrating identity and access management systems (e.g., Keycloak, Auth0, Okta). Deep understanding of OAuth 2.0, OIDC, SAML, and token-based authentication flows. Ability to effectively leverage cloud provider IAM systems (e.g., AWS IAM, GCP IAM, Azure AD).
• Authorisation and permissions design, proven experience implementing RBAC, ABAC, or policy-as-code frameworks (e.g., OPA/Rego, Cedar) in production multi-tenant systems.
• Telemetry and observability, experience designing and operating metrics, tracing, and logging pipelines (e.g., OpenTelemetry, Prometheus, Grafana, Jaeger). You understand what it takes to make distributed systems genuinely observable.
• Kubernetes and GitOps, strong working knowledge of Kubernetes and ArgoCD, including deploying, managing, and troubleshooting services in production clusters.
• API and service design maturity, experience designing multi-service systems with attention to schema governance, forward compatibility, and secure data access patterns. Proven ability to develop schema drift mitigation strategies with minimal impact to dependent clients (e.g., forward-compatible schemas, ACLs, ambassador sidecars).
• Agent governance awareness, understanding of how identity and permissions extend to agentic systems, including MCP auth, impersonation, system accounts, and scoped token delegation.
• Security awareness, familiarity with threat modelling, secure coding practices, and participating in security testing and compliance workflows.
• CI/CD and deployment expertise, hands-on experience building and optimising CI/CD pipelines, including multi-service and zero-downtime deployments across numerous customer environments.
• Communication and collaboration, excellent communication skills to work across teams, understand requirements from research scientists and product stakeholders, and translate them into technical specifications.
• AI-native mindset, you follow the frontier of agentic systems and AI tooling. You naturally think about how infrastructure needs to evolve when agents, not just humans, are the consumers of your APIs and services. You actively use AI coding tools (e.g., Copilot, Cursor, Claude Code) in your daily workflow and see them as a force multiplier, not a novelty.
• Incremental mindset, you work in small steps toward larger goals, driving change through continuous improvement rather than massive redesigns. You can zoom in on details and zoom out to see the big picture.

Ideally

• Polyglot programming, deep expertise in Python and Golang, with exposure to other languages such as Rust or C++.
• Advanced Kubernetes, ability to leverage resources that extend the Kubernetes API (e.g., CRDs, Operators) and infrastructure configuration tools (Crossplane, Helm charts).
• Infrastructure flexibility, understanding of what it takes to build software that runs in cloud, on-premises, and air-gapped environments.
• Advanced testing, experience with fuzzing, deterministic simulation testing, or fault injection in production systems.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is building a new category of engineering software — one where physics AI models don't just augment existing workflows, but fundamentally redefine what's possible in design and operations. Our Product team is expanding a portfolio of Engineering Applications that bring this capability directly to the engineers, scientists, and operators who need it most. If you're excited by the challenge of turning cutting-edge AI and simulation research into tools that change how the world's most complex engineering problems get solved, this is the team to do it with.

You'll join the Forward Deployed Applications team, a group that sits at the intersection of product development and customer delivery. Your primary mission is to work closely with customers on real engineering problems — and to turn what you learn into generalised, reusable product capabilities that raise the ceiling for every PhysicsX user. This isn't a traditional customer-facing role or a pure product role: it's the feedback loop that keeps our product grounded in genuine engineering value. You'll work alongside simulation engineers, data scientists, ML engineers, and backend developers, with significant autonomy in how you approach problems, and a direct line of influence over the direction of our growing application suite.

What you will do

• You'll spend meaningful time in conversations — with users unpacking real engineering workflows, with Delivery teams translating those needs into concrete requirements, and with the Product team debating which patterns are worth generalising. Expect to be a connector as much as a builder, and to develop a strong instinct for which customer insights have product-wide implications.
• You'll be expected to bring both rigour and initiative: writing clean, well-considered code, contributing to architecture decisions, and pushing back constructively when a bespoke solution risks diverging from the product vision. This team operates with a high degree of autonomy, and the expectation is that you use it thoughtfully.
• On any given day you might be designing a 3D visualisation that makes a fluid dynamics simulation instantly legible to a non-specialist, building a React interface that surfaces AI model outputs in a live operational context, or refactoring a one-off delivery prototype into something the whole platform can build on. The problems are genuinely novel, and the solutions you build here will define what engineering software looks like next.
• Serve as an effective development lead and mentor across multiple levels of engineering seniority, drive adoption of best practices, and facilitate complex technical discussions and decisions with clarity and decisiveness.
• Build consensus around technical decisions, present solutions effectively to leadership, actively contribute to Technical Decision Records and Technology Radar reviews, and commit fully to group decisions even when they differ from your own recommendations.
• Maintain broad technical knowledge while deepening your specialisation, adapt quickly to new teams, identify emerging technologies and trends, and exemplify accountability by balancing competing priorities and expressing them as well-defined trade-offs.
• Drive requirements definition for large features, allocate work to junior engineers, present detailed technical decision records with trade-off analyses, and contribute to your team's development, testing, and security standards through automation and compliance validation.
• Design multi-service systems that account for operational cost, performance, and reliability requirements, implement zero-downtime deployment strategies, define SLAs and quality-of-service metrics, and build proactive monitoring and alerting that scales effectively.

What you bring to the table

• Publish quality-of-service metrics and reliability guarantees, and effectively leverage caching and memoisation strategies to optimise service performance in collaboration with frontend engineers.
• Develop automated testing strategies to ensure compliance with established standards for API schemas, messaging, and data segregation and access control at the service level.
• Manage observability metric cardinality to optimise cost and performance, and develop schema drift mitigation strategies that minimise impact to dependent clients.
• Contribute to the design of composable frontend architectures, component systems, and advanced state management patterns, while driving adoption of type-safe practices through shared type libraries and developer coaching.
• Optimise layout calculation, paint, and JavaScript execution in the browser, design effective caching strategies, integrate real-time technologies such as WebSockets and SSE, and collaborate with backend engineers on end-to-end performance improvements.
• Work effectively with designers to navigate browser constraints around layout and typography, and collaborate with backend engineers on security risk mitigation and performance optimisation strategies.

Ideally

• Confidence working across the full stack — you're at home reasoning about frontend architecture in React and TypeScript as well as backend design in Python, and you understand the tradeoffs in both well enough to make and defend pragmatic decisions.
• Experience building on top of large, established codebases — you know how to move deliberately, contribute incrementally, and improve things without breaking them.
• A track record of delivering in customer-facing or time-pressured environments, with the judgement to know when to ship something fit for purpose now and when to push back in the interest of a more durable solution.
• The instinct to treat customer engagements as a source of product insight — you naturally ask why a workflow exists, not just how to support it, and you channel that curiosity into constructive, well-reasoned feedback to product teams.
• Familiarity with 2D and 3D data visualisation and the ability to make complex simulation or model outputs legible and useful to non-specialist users.
• An agile, collaborative working style — you engage seriously with code review, testing, and CI/CD, and you're as invested in the quality of your team's output as your own

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Mission

We’re looking for a hands-on Senior AI Platform Engineer to build the foundations of how AI agents transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the foundations that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to build and scale the Agentic stack within this wider ecosystem. You will implement a production-grade platform that enables our Product teams, FDEs, and customers to compose advanced AI workflows safely, transparently, and reliably.

• You will own delivery of key workstreams within our platform's critical infrastructure.
• You have practical experience running agents in production and understand the failure modes ("scar tissue").
• You are familiar with emerging open standards (such as MCP, A2A, and ACP) and have experience with patterns like durable execution and agent memory.
• You are passionate about building a world-class developer experience.

Core Responsibilities

You will own key workstreams within our Agentic ecosystem.

• Full-Stack Observability: Implement deep tracing and cost tracking to ensure visibility across the agent lifecycle.
• Deployment Patterns: Build tooling that simplifies auth, discoverability, and resource management for deployed agents.
• Sandboxing Implementation: Implement secure runtime environments that isolate agents and enforce safety policies.
• Systematic Evals: Build the feedback loops that allow domain experts to annotate traces and generate evaluation datasets.
• Enterprise Governance: Apply identity and access controls (RBAC, OIDC) to ensure agents act securely in a multi-tenant environment.

The Tech Stack

• Core Platform: Python (Primary), Go or TypeScript (Secondary), Kubernetes, Docker, Terraform.
• Agentic Infrastructure: LangGraph/LangChain, Temporal (Durable Execution), Vector DBs (Pinecone/Weaviate).
• Observability & Evals: OTel, LangSmith, Arize, Braintrust.

Who You Are

• A Systems Builder: You care about code quality, reliability, and maintainability. You prefer boring, working solutions over complex, fragile ones.
• Platform-First: You care deeply about the Developer Experience (DevEx). You build tools that help other engineers move faster.
• Security-Minded: You understand the risks of executing LLM-generated code and implementing proper safeguards.

Qualifications

• Platform & Backend Foundations:
  • 3+ years of experience in Platform Engineering, Backend, or SRE.
  • Strong proficiency in Python/Go, Kubernetes, Docker, and IaC (Terraform).
• Agentic & AI Engineering:
  • Production experience designing Agentic architectures (chains, tools, memory).
  • Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution.
  • Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking.

Bonus Points

• Background in Engineering workflows or simulation platforms.
• Experience building internal developer platforms (IDPs).

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

PhysicsX is building a new category of engineering software — one where physics AI models don't just augment existing workflows, but fundamentally redefine what's possible in design and operations. Our Product team is expanding a portfolio of Engineering Applications that bring this capability directly to the engineers, scientists, and operators who need it most. If you're excited by the challenge of turning cutting-edge AI and simulation research into tools that change how the world's most complex engineering problems get solved, this is the team to do it with.

You'll join the Forward Deployed Applications team, a group that sits at the intersection of product development and customer delivery. Your primary mission is to work closely with customers on real engineering problems — and to turn what you learn into generalised, reusable product capabilities that raise the ceiling for every PhysicsX user. This isn't a traditional customer-facing role or a pure product role: it's the feedback loop that keeps our product grounded in genuine engineering value. You'll work alongside simulation engineers, data scientists, ML engineers, and backend developers, with significant autonomy in how you approach problems, and a direct line of influence over the direction of our growing application suite.

What you will do

• You'll spend meaningful time in conversations — with users unpacking real engineering workflows, with Delivery teams translating those needs into concrete requirements, and with the Product team debating which patterns are worth generalising. Expect to be a connector as much as a builder, and to develop a strong instinct for which customer insights have product-wide implications.
• You'll be expected to bring both rigour and initiative: writing clean, well-considered code, contributing to architecture decisions, and pushing back constructively when a bespoke solution risks diverging from the product vision. This team operates with a high degree of autonomy, and the expectation is that you use it thoughtfully.
• On any given day you might be designing a 3D visualisation that makes a fluid dynamics simulation instantly legible to a non-specialist, building a React interface that surfaces AI model outputs in a live operational context, or refactoring a one-off delivery prototype into something the whole platform can build on. The problems are genuinely novel, and the solutions you build here will define what engineering software looks like next.
• Contribute to a positive team culture through active participation, clear communication of progress and blockers, constructive code reviews, mentoring of junior engineers, and effective cross-functional collaboration with technical and non-technical stakeholders.
• Demonstrate a strong commitment to continuous development by seeking feedback, staying current with technology trends, sharing knowledge through guilds and documentation, and building expertise across multiple technical areas.
• Take initiative in breaking down complex problems, evaluating trade-offs, documenting technical decisions, and strategically addressing technical debt while balancing short-term delivery with long-term vision and business context.
• Write clean, maintainable code following established standards, implement comprehensive testing strategies across the test pyramid, apply secure coding practices and stay current with security threats, and build and maintain CI/CD pipelines and deployment processes with confidence.
• Gather requirements and collaborate with stakeholders to define scope, design systems and interfaces that balance functional and non-functional requirements, document technical decisions clearly, and identify and resolve performance bottlenecks through profiling and optimisation.
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on-site

What you bring to the table

• Effectively leverage HTTP frameworks and concurrency primitives, contribute to service interface design using patterns such as Protobuf and OpenAPI, develop composable client libraries with code-generation tooling, and ensure service availability through throttling, rate-limiting, and standard resilience techniques.
• Write clear and effective SQL with an understanding of database implementation trade-offs, leverage caching, memoisation, and messaging systems such as AMQP or NATS, and understand service discovery, schema drift mitigation, and the principles of 12-factor apps.
• Create API tests using mock services, contribute to service documentation, understand authentication flows and middleware patterns, and contrast architectural approaches such as REST, RPC, gRPC, and GraphQL to make informed design decisions.
• Build responsive web applications using modern frameworks such as React, Vue, or Angular, effectively translate graphic designs to web interfaces with semantic HTML, and develop reusable UI components that maintain design system consistency with a strong understanding of UX practices.
• Write clean type annotations and leverage generics to add type safety across API responses and external data, manage client-server state synchronisation with optimistic updates, and effectively use frontend build tools and bundlers such as Webpack, Vite, or Rollup.
• Understand the browser rendering model and JavaScript execution to identify and resolve performance bottlenecks, leverage HTTP methods, caching headers, CORS, and status codes effectively, and implement security mitigations for CSRF, XSS, and authentication using cookies and local storage.

Ideally

• Confidence working across the full stack — you're at home reasoning about frontend architecture in React and TypeScript as well as backend design in Python, and you understand the tradeoffs in both well enough to make and defend pragmatic decisions.
• Experience building on top of large, established codebases — you know how to move deliberately, contribute incrementally, and improve things without breaking them.
• A track record of delivering in customer-facing or time-pressured environments, with the judgement to know when to ship something fit for purpose now and when to push back in the interest of a more durable solution.
• The instinct to treat customer engagements as a source of product insight — you naturally ask why a workflow exists, not just how to support it, and you channel that curiosity into constructive, well-reasoned feedback to product teams.
• Familiarity with 2D and 3D data visualisation and the ability to make complex simulation or model outputs legible and useful to non-specialist users.
• An agile, collaborative working style — you engage seriously with code review, testing, and CI/CD, and you're as invested in the quality of your team's output as your own

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Mission

We’re looking for a hands-on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You'll be building the advanced workflows that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry.

Core Responsibilities

You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate.

• You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks.
• You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience.
• Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents.

Core Responsibilities

You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it.

• Be "Customer Zero": Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it.
• Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems.
• Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer.
• Rigorous Evals & Tracing: You don't just ship "vibes." You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time.

The Tech Stack

• Languages: Python (Primary), Go or TypeScript (Secondary).
• Platform tooling: Kubernetes, Docker, Terraform.
• Agentic Infrastructure: Agentic Frameworks, Vector DBs
• Observability: OTel, Agent Tracing / Evaluations tooling

Who You Are

• A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs.
• Strategic & Broad: You don't just solve the problem in front of you; you look for the "generalisable proof-point" that informs the broader platform strategy.
• Empirical: You value systematic measurement over intuition. You believe that if you can't trace it and eval it, you can't ship it.
• Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows.

Qualifications

• 3+ years of experience in Applied AI, ML Engineering, or Software Engineering.
• Proven experience building and deploying AI Agents or complex LLM workflows in production.
• Demonstrated ability to collaborate with Domain Experts to solve complex, domain-specific problems.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…

The Role

As a Principal Security Engineer, you will partner closely with engineering teams to design and implement secure development practices, integrate security into our CI/CD pipeline, and lead security and design reviews.

You’ll bring deep expertise in DevSecOps, application security, hands-on experience securing web applications and APIs, and a strong understanding of modern development workflows. This is a unique opportunity to shape the future of our security program while working in a high-ownership, high-impact environment.

What you will do

• Architect and integrate security tooling directly into CI/CD pipelines to automate the detection and prevention of vulnerabilities, ensuring "shift-left" security at scale.
• Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.
• Oversee the end-to-end product vulnerability lifecycle, from issue triage, prioritization, remediation support, with clear risk communication.
• Drive secure coding standards, develop playbooks, and provide hand-on training and mentorship to instill a security-first mindset across the organization.
• Design and scale secure development practices by collaborating cross-functionally with engineering teams throughout the entire software lifecycle.
• Engage with customers during security reviews

What you bring to the table

• 10+ years in security, with a focus on DevSecOps and security design reviews
• Hands-on experience with secure coding, OWASP Top 10, threat modeling, and SDLC integration
• Experience with GitHub/GitLab, CI/CD, IaC, and containerized environments
• Experience deploying and working with SAST tooling (e.g. Semgrep, Snyk)
• Experience developing in Python and Go.
• Track record of balancing pragmatism and security rigor in a fast-paced setting
• Strong communication skills

Nice to Have Skills

• Understanding of AI security fundamentals and how application security and AI security intersect
• Experience securing cloud infrastructure
• Participation in bug bounty programs and managing security disclosure
• Familiarity with the BSIMM framework
• Experience in cloud security including identity and access management and cloud-native services.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

UK Benefits:

Equity options; 10% pension employer contribution; 25 days holiday plus public holidays; private health insurance; enhanced parental leave; free lunch onsite

US Benefits:

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $200,000 to $300,000

We’re seeking an exceptional Senior Product Designer who thrives on creating innovative, user-centred design solutions for enterprise applications. As a Senior Product Designer, you will work at the intersection of AI, engineering, and design, shaping intuitive workflows for expert users in complex systems. Collaborating with cross-functional teams, you’ll develop cutting-edge 2D and 3D interfaces that address real-world challenges and push the boundaries of user-centred design.

Key Responsibilities:

• Lead strategic discovery efforts: Conduct user research to uncover deep insights, translating complex workflows into intuitive designs for enterprise users.
• Deliver innovative solutions: Create wireframes, prototypes, and high-fidelity designs that solve intricate user problems and drive business value.
• Shape design direction: Define and maintain scalable design systems and component libraries for consistency across products.
• Collaborate cross-functionally: Partner with simulation engineers, data scientists and stakeholders to deliver technically feasible and impactful designs.
• Iterate for excellence: Use user feedback, analytics, and testing to refine and optimise designs.
• Influence the organisation: Champion user-centred design practices across teams and mentor junior designers to raise the quality of design outcomes.
• Innovate with technology: Stay ahead of industry trends, exploring emerging tools and techniques to enhance enterprise solutions.

Qualifications:

• Experience: 5+ years of experience in product design, with a portfolio demonstrating complex, enterprise-grade projects.
• Education: Bachelor’s degree in Design, Human-Computer Interaction, or equivalent practical experience.
• Technical expertise: Deep understanding of enterprise UX/UI design principles, with experience in both 2D and 3D interfaces.
• Tools: Proficiency in design tools like Figma, Adobe Creative Suite, and research platforms such as Dovetail.
• Skills: Exceptional communication, collaboration, and problem-solving abilities. Strong ability to articulate design decisions to diverse audiences.
• Bonus points: Experience with 3D design tools (e.g., Blender, Houdini, Unity3D), AI/ML-driven applications, or designing for expert users like Mechanical Engineers or Data Scientists.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

🚀 Equity options - share meaningfully in the company you’re helping to build.

🏦 10% employer pension contribution - because investing in future matters.

🍽️ Free office lunches - to keep you energised and focused.

👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

🍼 YellowNest nursery scheme - to help working parents manage childcare costs.

☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind.

💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

👀 Eye tests - because good work depends on good health.

📈 Personal development - dedicated support for learning, development, and leveling up over time.

💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener.

🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

🔎 Watch this space, we’re continuing to build this as we grow…