Artificial Intelligence Jobs in London

Synthesia · London

Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.

Synthesia · London

Lead design for AI-native, agentic Sessions surfaces where employees learn through conversation and AI acts as a direct participant in work. As a senior IC, you set direction, influence roadmap bets with Product and Engineering, and prototype novel conversational and agentic interaction patterns. The role focuses on trust, transparency and user control in AI-driven workflows.

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.

OpenAI · London

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Also owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement, and participates in an on-call rotation.

Faculty · Remote (UK)

Lead complex machine learning delivery and sector strategy within the Defence team, acting as a trusted technical authority. Own project scoping, technical selling and client management while writing production-grade code and mentoring data scientists. Requires eligibility for UK Security Clearance and 2-4 days per week on client sites.

Faculty · Remote (UK)

Lead the technical direction and delivery of complex, high-risk AI projects for defence clients, balancing deep ML engineering with team leadership. You'll design scalable ML systems, set architecture, build shared libraries, mentor engineers, and work on-site with customers 2-4 days a week, with the rest remote or from the London office.

Wayve · London

Leads complex, multi-team programmes across Level 2 and Level 4 autonomous driving products, translating product milestones into integrated cross-team schedules and delivery plans. Reviews technical progress, backlog health and system-level evidence to assess milestone readiness, managing dependencies and critical-path activities across engineering, product, safety and validation. Improves lifecycle-planning practices and tooling to surface risk earlier and deliver more predictably.

Wayve · London

Builds full-stack geospatial services in Python and TypeScript, turning global road-network and navigation data into products for an autonomous driving platform. Owns data pipelines with PySpark and Databricks, route-planning applications, and map data preparation for training and simulation, deploying services on Azure and Kubernetes end to end.

ElevenLabs · United Kingdom

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams like Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

ElevenLabs · United Kingdom

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration, with a focus on making agents reliable, measurable and safe enough for the business to depend on.

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

ElevenLabs · United Kingdom

Owns the path from research checkpoint to production serving infrastructure, optimising inference latency, throughput and cost using quantization, distillation, KV-cache optimisation, batching and custom kernels. Builds high-performance serving systems for real-time streaming workloads and tooling that lets researchers ship models quickly and safely.

ElevenLabs · United Kingdom

Owns large-scale distributed web crawling systems that discover, fetch and extract data from billions of pages to feed frontier AI models. Work spans content extraction from messy HTML, web-scale deduplication, recrawl and freshness strategies, politeness and rate limiting, plus tooling for researchers to request and explore crawled data.