Artificial Intelligence Jobs in London

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, forecasting, anomaly detection) into customer production environments, building scalable training and inference pipelines with Python, PyTorch, Kubeflow and fastAPI. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +6

• New York, United States
• Hybrid · 2–3 days in office
• Senior

Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.

Ansys HFSS · Ansys Maxwell · CST Studio Suite +7

• Sunderland
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy/Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, plus AWS Certified Cloud Practitioner and Microsoft AI-900 certification. It includes tutor and recruitment support, real-world projects and a job guarantee, and is aimed at career changers with no prior experience.

Jupyter Notebooks · VS Code · Streamlit +6

• London
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, NumPy/Pandas, scikit-learn, Hugging Face, prompt engineering, RAG and vector databases, plus AWS Cloud Practitioner and Microsoft AI-900 certification. Includes tutor and recruitment support with a job guarantee, and is aimed at career changers with no prior experience.

Jupyter Notebooks · VS Code · Streamlit +4

• London
• Hybrid
• Permanent

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.

Databricks · Mapbox · TomTom +7

• London
• Hybrid
• Senior
• Permanent

Post-train, distill and evaluate GAIA-family large video diffusion world models for synthetic driving data, covering embodiment and pose transfer. Own large-scale GPU generation pipelines and land synthetic data into the driving-model training stack, working between ML research and platform engineering.

PyTorch · GAIA · CUDA +1

• United Kingdom
• Remote
• Mid-level
• Permanent

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.

dbt · Python · SQL +2

• United Kingdom
• Remote
• Permanent

Sits between enterprise customers and the product, gathering requirements and deciding whether to build bespoke integrations or generalise improvements for all users. Requires strong full-stack skills across APIs, auth and enterprise plumbing like SSO and access control, shipping end-to-end with little direction in a lean, remote-first team.

• United Kingdom
• Remote
• Permanent

First dedicated analytics partner to Finance within a central Data team, owning revenue and ARR reconciliation, cohort and retention economics, and pricing experiments. Builds forecasting and scenario models used directly by FP&A for planning and board reporting, and partners with Analytics Engineering on the certified finance KPI layer. Requires reconciling data across Stripe, Salesforce and a dbt-modelled warehouse.

Stripe · Salesforce · dbt +1

• London
• Hybrid
• Lead · manages people
• Permanent

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.

PyTorch · GAIA · GPU +1

• United Kingdom
• Remote
• Permanent

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.

vLLM · SGLang · CUDA +2

• United Kingdom
• Remote
• Mid-level
• Permanent

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.

Kubernetes