As a Platform Engineer, you will build and evolve the platform that takes our machine learning models from research to reliable, scalable production. Working at the intersection of machine learning, infrastructure, and software engineering, you will partner closely with ML engineers to improve performance, reliability, cost efficiency, and the overall maturity of our ML platform.

If you enjoy designing robust systems, automating complex workflows, and optimising ML platforms for performance, reliability, and cost, this role is for you.

What you will be doing

• Designing, building, and maintaining scalable ML platforms, tools, and infrastructure that enable teams to efficiently train, experiment with, and evaluate machine learning models
• Modernising the ML platform by migrating workloads from SGE Grid Engine to Kubernetes‑based orchestration systems such as Slurm or Ray, improving scalability, reliability, and efficiency of ML workflows.
• Modernising the ML workflows with cutting-edge tools for pipeline orchestration, experiment tracking, observability, and model versioning.
• Optimising ML infrastructure to maximise GPU utilisation, streamline scheduling, and enhance distributed training performance.
• Building and maintaining CI/CD workflows for ML systems, including model versioning, testing, and release automation.
• Collaborating closely with ML engineers to ensure models are deployable, reproducible, and production-ready.
• Continuously evaluating new tools, frameworks, and approaches to improve the efficiency, reliability, and maturity of the ML platform.
• Promoting operational excellence by reducing manual processes, improving automation, and raising the overall platform reliability and efficiency.
• Contributing to the ML platform roadmap, tooling standards, and best practices to support excellence in Voice AI.

Who we are looking for:

• Python skills for production systems
• Proven ability to optimise model training and inference, including GPU-based and distributed workloads
• Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes)
• Strong background in monitoring, observability, and reliability for ML platforms
• Hands-on experience across cloud, on-premises, and hybrid infrastructure environments
• Solid understanding of ML fundamentals, including training, evaluation, and lifecycle management
• Familiarity with CI/CD, version control, reproducible workflows, and ML frameworks (e.g., PyTorch, TensorFlow)
• Experience with large-scale data/AI platforms, experiment tracking, and governance, plus strong cross-team collaboration skills

Kickstart your career with FutureVoices. Our 12-month Graduate Programme offers an opportunity to work with a team of highly skilled and knowledgeable senior engineers. You’ll gain hands-on experience with scalable SaaS systems, build cross-functional skills working alongside colleagues in marketing and sales, and help shape the future of voice technology. In the process, you’ll be supported to learn and grow in the directions that are interesting to you and aligned with the team goals. 

The FutureVoices programme is designed to give you hands-on experience across three core areas of our business: 

1. Product 
   Learn how we shape the next generation of speech technology. Work with product managers and designers to identify user needs, craft solutions, and deliver features that delight customers worldwide. 

2. Client Integration 
   Collaborate with our customers to integrate Speechmatics into their products and workflows. Gain real-world experience in problem-solving, implementation, and ensuring our technology has maximum impact. 

3. Software Engineering 
   Build and maintain robust, scalable systems that power Speechmatics. Contribute to the core infrastructure, APIs, and tools that enable seamless deployment of our speech technology. 

What You'll Gain 

• Varied Expertise: Our team works across engineering, sales, marketing and product, sitting at the nexus of multiple aspects of the business.

• Mentorship & Learning: You’ll be supported by experienced mentors, with access to training budgets, knowledge-sharing sessions, and communities.

• Real-World Impact: Every project you touch will contribute to our mission of understanding every voice, from deploying features to solving customer challenges. 

• Culture & Benefits: Hybrid work (2–3 days a week in Cambridge and/or London) generous holiday allowance, wellness initiatives, and a supportive, inclusive environment. 

Who You Are 

• Mindset is the number one thing. We want people who are curious, ambitious, and eager to grow — with a passion for the power of speech technology.

• With either: graduate with a background in STEM, Computer Science, Engineering, or related disciplines, or comparable work experience. 

• Confident in Python, Golang, and/or JavaScript and excited to develop skills in software engineering and product development.

• A problem-solver who thrives in collaborative environments and enjoys working with both technical and non-technical stakeholders. 

Kickstart your career with FutureVoices. Our 12-month Graduate Programme offers an opportunity to work with a team of highly skilled and knowledgeable senior engineers. You’ll gain hands-on experience with scalable SaaS systems, build cross-functional skills working alongside colleagues in marketing and sales, and help shape the future of voice technology. In the process, you’ll be supported to learn and grow in the directions that are interesting to you and aligned with the team goals. 

The FutureVoices programme is designed to give you hands-on experience across three core areas of our business: 

1. Product 
   Learn how we shape the next generation of speech technology. Work with product managers and designers to identify user needs, craft solutions, and deliver features that delight customers worldwide. 

2. Client Integration 
   Collaborate with our customers to integrate Speechmatics into their products and workflows. Gain real-world experience in problem-solving, implementation, and ensuring our technology has maximum impact. 

3. Software Engineering 
   Build and maintain robust, scalable systems that power Speechmatics. Contribute to the core infrastructure, APIs, and tools that enable seamless deployment of our speech technology. 

What You'll Gain 

• Varied Expertise: Our team works across engineering, sales, marketing and product, sitting at the nexus of multiple aspects of the business.

• Mentorship & Learning: You’ll be supported by experienced mentors, with access to training budgets, knowledge-sharing sessions, and communities.

• Real-World Impact: Every project you touch will contribute to our mission of understanding every voice, from deploying features to solving customer challenges. 

• Culture & Benefits: Hybrid work (2–3 days a week in Cambridge and/or London) generous holiday allowance, wellness initiatives, and a supportive, inclusive environment. 

Who You Are 

• Mindset is the number one thing. We want people who are curious, ambitious, and eager to grow — with a passion for the power of speech technology.

• With either: graduate with a background in STEM, Computer Science, Engineering, or related disciplines, or comparable work experience. 

• Confident in Python, Golang, and/or JavaScript and excited to develop skills in software engineering and product development.

• A problem-solver who thrives in collaborative environments and enjoys working with both technical and non-technical stakeholders. 

We're looking for a Senior Business Development Representative to join us in a high-impact commercial role at the forefront of Voice AI. You’ll play a critical part in driving pipeline growth across enterprise and mid-market accounts, working with a genuinely differentiated API product used by technical buyers globally. You’ll operate in a fast-scaling environment, partnering closely with account executives and engaging with senior stakeholders. This role is ideal for someone who combines strong sales instincts with a structured, data-driven approach and is motivated to grow within one of the most exciting and rapidly evolving areas of the tech industry.

What you’ll be doing:

• Building and managing pipeline across a defined territory
• Identifying and targeting enterprise and mid-market accounts
• Conducting outbound prospecting using multi-channel approaches (email, phone, LinkedIn)
• Qualifying inbound and outbound leads to create high-quality opportunities
• Partnering closely with Account Executives to progress and convert opportunities
• Tailoring messaging to both technical and commercial stakeholders
• Using tools like Salesforce, sequencing platforms, and LinkedIn Sales Navigator to manage activity and performance
• Leveraging AI tools to research accounts and personalise outreach

Who we are looking for:

• Demonstrated success hitting or exceeding targets, with clear evidence of performance and impact
• Brings a methodical, organised approach to territory management and pipeline building
• Able to confidently engage both technical buyers (e.g. CTOs) and business leaders with tailored messaging
• Comfortable selling complex or intangible products such as APIs, platforms, or developer tools
• Ambitious, coachable, and motivated to develop into more senior commercial roles as the company scales

We're looking for a Senior Business Development Representative to join us in a high-impact commercial role at the forefront of Voice AI. You’ll play a critical part in driving pipeline growth across enterprise and mid-market accounts, working with a genuinely differentiated API product used by technical buyers globally. You’ll operate in a fast-scaling environment, partnering closely with account executives and engaging with senior stakeholders. This role is ideal for someone who combines strong sales instincts with a structured, data-driven approach and is motivated to grow within one of the most exciting and rapidly evolving areas of the tech industry.

What you’ll be doing:

• Building and managing pipeline across a defined territory
• Identifying and targeting enterprise and mid-market accounts
• Conducting outbound prospecting using multi-channel approaches (email, phone, LinkedIn)
• Qualifying inbound and outbound leads to create high-quality opportunities
• Partnering closely with Account Executives to progress and convert opportunities
• Tailoring messaging to both technical and commercial stakeholders
• Using tools like Salesforce, sequencing platforms, and LinkedIn Sales Navigator to manage activity and performance
• Leveraging AI tools to research accounts and personalise outreach

Who we are looking for:

• Demonstrated success hitting or exceeding targets, with clear evidence of performance and impact
• Brings a methodical, organised approach to territory management and pipeline building
• Able to confidently engage both technical buyers (e.g. CTOs) and business leaders with tailored messaging
• Comfortable selling complex or intangible products such as APIs, platforms, or developer tools
• Ambitious, coachable, and motivated to develop into more senior commercial roles as the company scales

We are hiring a Principal Machine Learning Engineer to work on cutting-edge R&D and translating research into customer-centric solutions.   

As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. 

Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. 

This is a hands-on, technical leadership role with high ownership.  You will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase.    

What You’ll Do:

• Develop and deploy ML models, translating research into scalable, maintainable code and services 
• Optimise ML models for speed, accuracy, and cost efficiency 
• Evaluate and integrate cutting-edge approaches into our ML stack
• Identify and solve complex ML problems across the organisation
• Define and enforce best practices for code quality, model lifecycle management, etc.
• Mentor engineers and foster a culture of technical excellence and innovation
• Co-define the long-term technical vision 

What We’re Looking For:

• Deep understanding of the modern Machine Learning stack, for example:
  • Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices
  • Expertise in distributed training techniques
  • Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding)
• Proven track record of developing and deploying models at scale
• Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms
• Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes)

  With preferred backgrounds covering some of the following:

• Experience with speech-to-text or text-to-speech 
• Contributions to open-source projects or published research in top-tier conferences

We are hiring a Principal Machine Learning Engineer to work on cutting-edge R&D and translating research into customer-centric solutions.   

As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. 

Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. 

This is a hands-on, technical leadership role with high ownership.  You will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase.    

What You’ll Do:

• Develop and deploy ML models, translating research into scalable, maintainable code and services 
• Optimise ML models for speed, accuracy, and cost efficiency 
• Evaluate and integrate cutting-edge approaches into our ML stack
• Identify and solve complex ML problems across the organisation
• Define and enforce best practices for code quality, model lifecycle management, etc.
• Mentor engineers and foster a culture of technical excellence and innovation
• Co-define the long-term technical vision 

What We’re Looking For:

• Deep understanding of the modern Machine Learning stack, for example:
  • Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices
  • Expertise in distributed training techniques
  • Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding)
• Proven track record of developing and deploying models at scale
• Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms
• Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes)

  With preferred backgrounds covering some of the following:

• Experience with speech-to-text or text-to-speech 
• Contributions to open-source projects or published research in top-tier conferences

This is an exciting opportunity to step into People Partnering within a high-growth AI business, supporting teams Org-wide including; Engineering, Product and Commercial functions (Marketing, Revenue and Operations). 

You'll partner with stakeholders across the business to support performance, engagement and team effectiveness, while gaining exposure to a wide range of people challenges in both technical and commercial environments. 

Working closely with the People Partnering Lead, this role is ideal for someone looking to build their partnering capability, deepen their commercial understanding, and grow into a more strategic People Partner over time. 

What you’ll be doing:

People Partnering 

• Partner with stakeholders (primarily Director level and below) across Engineering, Product, Commercial and beyond
• Support managers in driving performance, engagement and team effectiveness
• Build strong, trusted relationships across teams 

Employee Relations 

• Lead and manage employee relations cases including performance, conduct, absence and wellbeing
• Apply a commercial and pragmatic approach to resolving issues
• Escalate complex or high-risk cases where appropriate 

People Processes 

• Support delivery of core people processes including:
  • Performance cycles
  • Promotions and progression
  • Engagement initiatives
• Ensure managers are supported and processes are applied consistently 

Proactive Support & Insights 

• Identify trends, risks and opportunities across teams
• Take a proactive approach to supporting managers and improving team effectiveness
• Share insights with the People Partnering Lead to inform broader people priorities 

Collaboration 

• Work closely with the People Partnering Lead, supporting their work with senior leaders and ensuring relevant insights and information are effectively cascaded upwards 
• Partner with Talent to support hiring plans and onboarding
• Work with People Operations to ensure smooth delivery of people processes 

Who we are looking for:

• Experience in an HR Advisor, Senior HR Advisor or Generalist role 
• Strong experience managing employee relations cases 
• Experience supporting managers with people-related matters 
• Strong relationship-building skills 
• Proactive and solutions-focused mindset 
• Good judgement and ability to handle sensitive situations 
• Commercial curiosity and interest in understanding how the business operates
• Curious and eager to learn
• Takes ownership and shows initiative
• Keen to grow into a more strategic People Partner 

As a Data Engineer, at Speechmatics, you’ll design and manage the data pipelines that power our state-of-the-art speech models. You'll be work at the intersection of infrastructure, engineering, and research to create large-scale, high-quality datasets efficiently. If you love solving complex technical problems and optimising systems for real-world AI applications, this is the role for you.

What you’ll be doing:

• Develop and maintain scalable web scraping solutions to extract data from multiple sources

• Design, implement and maintain scalable data pipelines for ingestion, transformation, and storage of large datasets for high-performance AI models.

• Ensure data quality and integrity through validation, cleaning, and normalisation processes.

• Manage data infrastructure, including databases, and cloud storage solutions.

• Optimise performance of scraping scripts and pipelines for speed, reliability, and scalability.

• Monitor and troubleshoot data workflows reliability and efficiency.

• Identify new opportunities to source or generate relevant datasets.

• Stay compliant with data privacy and security regulations when handling sensitive or proprietary data.

• Collaborate closely with our ML Engineers to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.

• Collaborate with others on the ML team and Speechmatics leadership to craft the roadmap for our data work to power excellency in voice AI.

Who we are looking for:

• Extensive industry experience in software/data engineering.

• Strong proficiency in Python and SQL.

• Hands-on experience with web scraping, crawlers and awareness of the latest web frameworks, and protocols to improve scraping efficiency

• Professional experience with a major cloud provider.

• Knowledge of data pipelines, ETL (extract, transform, load) processes.

• Exposure to data for machine learning.

• Familiarity with data compliance standards and privacy-preserving data methods.

• Experience with on-prem infrastructure.

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously

As a Solutions Engineer at Speechmatics, you’ll play a key role in helping customers successfully evaluate and adopt our industry-leading speech technology. You’ll partner closely with Sales to guide customers through the entire technical journey,  from discovery and solution design to proof-of-concept delivery and technical validation.

This is a hands-on role: you’ll build demos, write code, deploy environments, and solve real customer problems.

You’ll also take ownership of selected accounts, helping scale the team’s impact while gaining exposure to global customers across multiple industries. We’ll support you with structured onboarding and training so you can quickly become confident with our technology and customers.

What You’ll Be Doing

• Partnering with Sales to lead the technical pre-sales process from discovery to close
• Understanding customer requirements (security, scale, integrations, accuracy, workflows) and designing practical solutions
• Building and delivering technical demos, prototypes, and Proofs of Concept (PoCs)
• Deploying and configuring environments in cloud or on-prem setups for customer evaluations
• Writing scripts or lightweight integrations (Python or JavaScript) to support demos and customer testing
• Troubleshooting customer challenges and guiding them toward successful outcomes
• Delivering engaging technical presentations to customers, partners, and events
• Supporting conferences and showcases with compelling technical demonstrations
• Sharing knowledge internally and helping Sales stay up to date as our platform evolves

Who We’re Looking For:

• Previous experience working in a customer-facing technical role
  (Sales Engineering, Solutions Engineering, Pre-Sales, Technical Consulting, or similar)
• Hands-on programming ability in Python
• Comfortable working with APIs, integrations, and technical troubleshooting
• Experience deploying or configuring software in cloud, Linux, containers, or networked environments
• Strong problem-solving skills and ability to translate customer needs into workable solutions
• Confident communicator who enjoys working directly with customers
• Self-motivated, curious, and eager to learn new technologies quickly
• Collaborative mindset and ability to manage multiple opportunities simultaneously

As a Forward Deployment Engineer, you’ll help drive the growth of Speechmatics by working directly with customers, partners, and developer communities to demonstrate, integrate, customise, and deploy our Voice AI, fast.

You’ll operate at the intersection of engineering, product, and adoption. Part product evangelist, part hands-on builder, you’ll implement our Voice AI in demos, Proofs of Concept, pilots, and full-scale production environments. You’ll also engage with the wider developer ecosystem, building examples, running workshops, supporting integrations, and helping developers unlock the full potential of our APIs.

This is a deeply hands-on role. You’ll work side-by-side with end-users, customer engineering teams, developer communities, and our internal engineering organisation to deliver measurable value in days or weeks, not months.

If you love building real solutions, iterating quickly, and seeing your work used in the wild, this role is for you.

What you’ll be doing

• Build rapid prototypes, Proofs of Concept, and pilots to validate customer and community use cases

• Design, develop, and deploy custom integrations of Speechmatics’ APIs in diverse environments

• Create high-impact demos for customers, events, hackathons, and developer audiences

• Collaborate directly with customer engineering teams to optimise deployments for accuracy, scalability, and performance

• Act as a technical bridge between customers, developer communities, and product engineering — surfacing feedback and improving developer experience

• Develop technical assets (sample apps, starter kits, code snippets, workshops) that help developers build successfully with our APIs

• Support installation, operational best practices, and successful adoption across deployments

Who we are looking for

• Strong software engineering background with deep API integration experience

• Proficient in modern web technologies (TypeScript, SvelteKit, React); full-stack capability preferred

• Comfortable building rapid prototypes and production-grade integrations

• Clear, confident communicator, equally effective with engineers, customers, and developer audiences

• Passion for Voice AI, conversational interfaces, and developer experience

• Experience engaging technical communities (talks, workshops, open-source, technical content)

• Comfortable with ambiguity and fast iteration

• Able to turn incomplete ideas into scalable, well-designed solutions

• Motivated by impact, ownership, and building things that ship

The Role

As a Senior Product Manager, you will play a key role in driving the growth of Speechmatics’ Voice AI portfolio by setting product strategy and direction. You’ll work closely with customers, partners, and internal teams to deeply understand market needs, define clear requirements, and deliver solutions that create meaningful impact across industries.

In this role, you’ll also act as a product evangelist, promoting the value of Voice AI both internally and externally, while prioritizing initiatives that balance customer outcomes, technical feasibility, and business goals. By collaborating with engineering and go-to-market teams, you’ll shape features, guide development, launch new products, and iterate quickly to achieve measurable success.

This position is both strategic and collaborative, requiring vision as well as execution. You’ll transform customer insights into product roadmaps, align cross-functional stakeholders, and help accelerate the global adoption of Speechmatics’ Voice AI technology.

What you’ll be doing:

• Leading the strategy and execution of our world beating Voice AI products from development to GTM.
• Igniting enthusiasm internally and externally about what we are doing and why.
• Helping us scale at pace by accelerating our Product Led Growth with developers, implementing GTM engineering approaches and building momentum in our ICPs.
• Effectively gathering market, customer and technical understanding and driving the product roadmap based on this.

Who we are looking for:

• Full spectrum product veteran with multiple examples of leading cross functional teams to achieve material business success, ideally in tech scale-ups.
• Results driven and execution focused – enjoys forging a path through an ambiguous and rapidly evolving environments.
• Insatiably curiosity with a first principles approach to product growth.
• Bright but has humility – you’ll fit in well!
• Innovator, in technology and GTM, you love delivering ideas whose time has come.
• AI / ML literate - understands LLM limits, evals, performance/latency/cost trade-offs, data pipelines, guardrails, and can quickly gain respect of Eng/Research. Specific Voice AI experience certainly helps!

The Role

As a Senior Product Manager, you will play a key role in driving the growth of Speechmatics’ Voice AI portfolio by setting product strategy and direction. You’ll work closely with customers, partners, and internal teams to deeply understand market needs, define clear requirements, and deliver solutions that create meaningful impact across industries.

In this role, you’ll also act as a product evangelist, promoting the value of Voice AI both internally and externally, while prioritizing initiatives that balance customer outcomes, technical feasibility, and business goals. By collaborating with engineering and go-to-market teams, you’ll shape features, guide development, launch new products, and iterate quickly to achieve measurable success.

This position is both strategic and collaborative, requiring vision as well as execution. You’ll transform customer insights into product roadmaps, align cross-functional stakeholders, and help accelerate the global adoption of Speechmatics’ Voice AI technology.

What you’ll be doing:

• Leading the strategy and execution of our world beating Voice AI products from development to GTM.
• Igniting enthusiasm internally and externally about what we are doing and why.
• Helping us scale at pace by accelerating our Product Led Growth with developers, implementing GTM engineering approaches and building momentum in our ICPs.
• Effectively gathering market, customer and technical understanding and driving the product roadmap based on this.

Who we are looking for:

• Full spectrum product veteran with multiple examples of leading cross functional teams to achieve material business success, ideally in tech scale-ups.
• Results driven and execution focused – enjoys forging a path through an ambiguous and rapidly evolving environments.
• Insatiably curiosity with a first principles approach to product growth.
• Bright but has humility – you’ll fit in well!
• Innovator, in technology and GTM, you love delivering ideas whose time has come.
• AI / ML literate - understands LLM limits, evals, performance/latency/cost trade-offs, data pipelines, guardrails, and can quickly gain respect of Eng/Research. Specific Voice AI experience certainly helps!

At Speechmatics, we are always keen to connect with new people.

If you don't see a role that matches with your experience please share your details here.

Please complete the details below, and we'll keep you in mind for the future. We will reach out when something suitable comes up!

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that ‘Understand Every Voice’.

We are betting big on scaling models, so you will be working with millions of hours of audio and billion parameter models which train across dozens of GPUs. It’s all about finding bottlenecks across our 50+ languages.

Our main research focuses are large-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models.

What you'll be doing

• Working with a diverse group of engineers across Speechmatics.
• Scaling self-supervised learning models across hundreds of GPUs in the cloud.
• Experimenting with distillation or quantisation to speed up our models at runtime.
• Comparing compute efficiencies of architectures such as a transformer and the impact on WER. 
• Developing new, state-of-the-art AI features, from training models, all the way to shipping it to production.
• Advancing end-to-end speech models and researching new approaches to TTS.

We aim to get you onboarded and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks’ code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with the team.

 You’ll want to join our team if you 

• Ambitious Engineers keen to work on bleeding-edge speech recognition and representational learning.
• Experience owning areas of code, seeking alignment rather than guidance.
• Proven-track record of delivering results, moving fast and keeping things simple.
• Someone who loves working in collaborative and diverse teams.
• Has a growth mindset and loves to develop oneself and others.
• Enjoys solving challenging problems and optimising a stack of unfamiliar code.

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.

Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.

What you’ll be doing:

• Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals.
• Stay current with the latest developments in Machine learning.
• Execute high-impact projects to ensure team success.
• Work collaboratively across departments and mentor team members (where appropriate).

Who we are looking for:

• Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
• Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
• Understanding of the modern Machine Learning stack, for example:
  - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
  - Experience in distributed training techniques.
  - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
• With preferred backgrounds covering some of the following:
  - Publications in top-tier conferences.
  - Contributions to popular open-source repositories.
  - Technical writing skills as evidenced by relevant publications or blogs.

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice—a vision that has propelled us to be world leaders of Voice AI, consisting of STT, TTS, and Flow; our brand new Conversational AI platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions.

Our Modelling Team trains diverse models, including large self-supervised ones, supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving.

What you’ll be doing:

• Work on complex R&D projects, with a diverse group of engineers, to achieve ambitious goals.
• Stay current with the latest developments in Machine learning.
• Execute high-impact projects to ensure team success.
• Work collaboratively across departments and mentor team members (where appropriate).

Who we are looking for:

• Demonstrated experience in collaboratively pursuing ambitious R&D agendas.
• Precise attention to detail, but is also aware of how the big picture relates to company goals, and where the field of Machine Learning is headed towards.
• Understanding of the modern Machine Learning stack, for example:
  - Knowledge of contemporary transformer architectures (e.g., GQA, KV-caching) and best practices.
  - Experience in distributed training techniques.
  - Familiarity with optimisation strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding).
• With preferred backgrounds covering some of the following:
  - Publications in top-tier conferences.
  - Contributions to popular open-source repositories.
  - Technical writing skills as evidenced by relevant publications or blogs.

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that ‘Understand Every Voice’.

We are betting big on scaling models, so you will be working with millions of hours of audio and billion parameter models which train across dozens of GPUs. It’s all about finding bottlenecks across our 50+ languages.

Our main research focuses are large-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models.

What you'll be doing

• Working with a diverse group of engineers across Speechmatics.
• Scaling self-supervised learning models across hundreds of GPUs in the cloud.
• Experimenting with distillation or quantisation to speed up our models at runtime.
• Comparing compute efficiencies of architectures such as a transformer and the impact on WER. 
• Developing new, state-of-the-art AI features, from training models, all the way to shipping it to production.
• Advancing end-to-end speech models and researching new approaches to TTS.

We aim to get you onboarded and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks’ code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with the team.

 You’ll want to join our team if you 

• Ambitious Engineers keen to work on bleeding-edge speech recognition and representational learning.
• Experience owning areas of code, seeking alignment rather than guidance.
• Proven-track record of delivering results, moving fast and keeping things simple.
• Someone who loves working in collaborative and diverse teams.
• Has a growth mindset and loves to develop oneself and others.
• Enjoys solving challenging problems and optimising a stack of unfamiliar code.