Artificial Intelligence Jobs

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.

Kubernetes · Helm · AWS +4

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You will mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines with Docker and Kubernetes while shipping Python and compiled-language code alongside ML engineers and data scientists.

GitLab CI/CD · Docker · Kubernetes +1

• London
• Hybrid · 2–3 days in office
• Mid-level

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.

JAX · NVIDIA Warp · OpenFOAM +2

• Singapore
• Mid-level

Contributes to high-fidelity CFD simulations for marine propulsion projects, including propeller and hull-propeller interaction, using OpenFOAM for steady-state and transient cavitating cases. Builds models from geometry clean-up and meshing through post-processing, and works at the intersection of CAE and data science to generate simulation datasets for machine learning surrogates. Joins at the founding stage of the Singapore team, collaborating with data scientists and customers.

OpenFOAM · Star-CCM+ · Fluent +4

• London
• Hybrid
• Mid-level
• Permanent

Design, build and deploy secure, scalable cloud infrastructure for AI and ML workflows, working in a cross-functional team with data scientists and ML engineers. The role involves infrastructure-as-code, containerised deployments and client-facing requirements gathering, with a focus on Azure, AWS, Terraform, Docker and Kubernetes.

Azure · AWS · Terraform +3

• London
• £76,800 – £115,200 pa
• Senior

Designs, benchmarks and optimises deep learning models for computer vision and surgical video analysis, focusing on low-latency inference on edge and cloud devices. Works with PyTorch, TensorRT and video pipelines alongside ML, platform and embedded engineers in a fast-prototyping team.

PyTorch · TensorRT · NumPy +6

• London
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office
• Mid-level

Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes · GPU +1

• London
• Hybrid
• Permanent

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.

Dymola · CarSim · CarMaker

• London
• Hybrid
• Permanent

Develops, tunes and validates trajectory-generation and motion-control algorithms that turn the AI Driver's outputs into safe, smooth vehicle motion across multiple platforms. Owns production-quality, latency-sensitive C++ control software through the full lifecycle, using simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and track comfort, tracking-error and safety KPIs.

CAN

• Welwyn
• Senior

Leads the design and development of production-grade AI agents, assistants and dashboards that move teams from manual processes to AI-enabled systems. Works with LLMs, RAG and multi-agent frameworks in Python and R, partnering with IT, architecture, data governance and compliance to keep regulated use cases secure, traceable and validated. Also sets coding standards and mentors engineers.

FastAPI · Pydantic · asyncio +7

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.

Kubernetes

• United Kingdom
• Remote
• Mid-level
• Permanent

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.

GitHub

• Munich - Berlin - London - Paris
• Senior

Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product on deployable defence AI capabilities.

Python · Rust · C++

• London
• Hybrid · 4 days in office
• £65,000 – £80,000 pa
• Permanent

Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backend development, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation.

Azure · PostgreSQL · FastAPI +5