Artificial Intelligence Jobs

Wayve · London

Builds virtual vehicle models using physics-based and data-driven techniques, validating them against on-road data and converting them into efficient software components. Runs track and partner experiments to improve model accuracy, and integrates models into simulation, hardware-in-the-loop and correlation pipelines across robotics and product teams.

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.

Faculty · London

Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.

Faculty · London

Lead delivery across an AI safety portfolio, overseeing frontier model evaluations and red teaming projects for government and public sector clients. Act as the primary link between customers and data scientists, translating safety research into strategy while growing accounts and mentoring team members.

Latent Labs · London

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.

Synthesia · Seattle, United States · US$200,000 pa

Builds and operates core enterprise platform systems, ensuring security, reliability and scalability for large customers, and contributes to a new API suite exposing Avatar technology to external creative tools. Owns multi-month, cross-team projects, translating business and regulatory requirements into scalable designs, and works with Python, React and AWS alongside product, security, legal and infrastructure partners.

Rise Technical Recruitment · Solihull · £45,000 – £62,000 pa

Research role applying AI and machine learning to the design, simulation and optimisation of power electronic converter systems, including AC/DC, DC/DC and DC/AC technologies. Working with experienced engineers and researchers, you develop models, algorithms and tools using MATLAB, PLECS or Ansys, and help translate academic research into practical engineering applications across electric vehicles, rail and renewable energy.

Quantexa · London

Owns the Customer Intelligence proposition across EMEA from within the Product team, shaping positioning, messaging and target segments while feeding market insight into the global roadmap. Acts as the region's senior expert, guiding sales opportunities and client programmes for major banks, insurers and public sector bodies, and building market voice through thought leadership, analyst briefings and industry events. Works closely with Marketing, Sales, Alliances and R&D to grow the partner ecosystem and keep the solution ahead of the market.

OpenAI · London

Senior technical owner for a portfolio of education customers, acting as the technical counterpart to institutional leadership. Shapes AI strategy across ChatGPT Edu, the OpenAI API and Codex, guiding institutions from pre-sales discovery through deployment and adoption. Requires education-sector fluency and hands-on architecture skills.

ElevenLabs · United Kingdom

Join the research team at an AI audio company, training state-of-the-art models across modalities and pushing existing models further through post-training, data curation and architectural improvements. You'll also design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better, working in lean autonomous teams with minimal bureaucracy.

Amazon · London

Owns the commercial vision and go-to-market strategy for AWS AI services across UK Central Government and Transport, leading complex multi-stakeholder sales engagements from opportunity identification to close. Works with senior government and transport leaders on use cases like citizen services, border management and infrastructure planning, navigating public sector procurement frameworks such as G-Cloud and GCA.

Relation Therapeutics · London

You will partner with Programme and Project Leaders to shape delivery plans and drive an osteoporosis programme through target ID, hit-to-lead, lead optimisation and candidate selection. The role involves orchestrating matrixed wet lab, ML, data science and engineering teams, managing budgets, risks and governance, and coordinating third-party partners such as CROs.

Relation Therapeutics · London

Builds and scales generative and predictive models of cellular behaviour, implementing and optimising large neural networks and distributed training infrastructure. Acts as a bridge between ML research and production, profiling GPU workloads and optimising inference for use by data scientists and biologists on multi-modal biological data.

OpenAI · London

Lead a team of senior Applied AI Architects acting as the technical "CTO of the book of business" for OpenAI's largest enterprise customers across North EMEA. Own technical account strategy, resource allocation and paths to production across ChatGPT Enterprise, the API, Codex and agentic solutions, while coaching the team and serving as an executive technical sponsor.

Latent Labs · London

Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.