Artificial Intelligence Jobs in London

Synthesia · UK Remote

Shape how the company shows up in experiential moments worldwide, designing booths, spatial environments, signage, print and merchandise from concept to production. Develop cohesive event identities across physical and digital touchpoints, storyboard motion content for keynotes, and art-direct external vendors. Works in a small senior brand design team with low process and high ownership, requiring travel across Europe and the US.

PhysicsX · London

Builds and validates high-fidelity multiphase CFD and coupled CFD-DEM models, covering geometry clean-up, meshing, simulation, post-processing and experimental validation for granular and particle-laden systems. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for ML surrogate models on cloud and HPC resources, while working on-site with customers and mentoring junior colleagues.

PhysicsX · Singapore

Builds and applies advanced thermal, chemical and multiphase CAE models in Abaqus, ANSYS or COMSOL, coupling heat transfer with fluid, diffusion and electrostatic phenomena. Works directly with customers, often on-site, instrumenting physical processes to generate validation data and integrating models into AI tools. Combines shop-floor manufacturing experience with Python/Java automation and parametric CAD.

Thought Machine · Lisbon, Portugal

Builds end-to-end features across web applications and backend services, owning requirements from engineering design through task breakdown, implementation and production debugging. Works with React, TypeScript and REST APIs in a cross-functional team of backend, front-end and full-stack engineers, with automated testing integrated throughout the development lifecycle.

Thought Machine · London

Owns complex, ambiguous technical challenges end-to-end, shaping long-term architecture and engineering standards across cloud-native banking platforms. Acts as a link between senior leadership and engineering teams, driving systemic change, mentoring senior engineers, and improving production operations. Uses Go/Python and AI tooling to scale developer velocity.

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.

Relation Therapeutics · London

Design and implement generative models that learn intervention effects from single-cell perturbation and multiomic data, focusing on counterfactual prediction, generalisation and experimental design. Work in interdisciplinary teams with experimental biologists to validate computational hypotheses and guide the highest-signal next experiments, using modern ML tooling including agentic workflows.

Wayve · London

Set the technical direction for a petabyte-scale storage platform underpinning autonomous driving data, leading a multi-quarter programme from architecture to adoption. Build production services and controllers in Python or Go with Kubernetes and Terraform, optimising read performance, caching and cost while partnering with ML, data, security and privacy teams.

Databricks · London

Founding backend engineer role building Lakebase, a managed Postgres transactional layer for the lakehouse, across teams covering platform reliability, a central control plane, and a high-throughput network proxy handling Postgres, HTTP, WebSockets and Data API traffic. Work spans distributed systems, at-scale service architecture, observability, SLI/SLO definition and AI-powered automation, with services on AWS S3, GCS and Azure Blob Store.

OpenAI · London

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

OpenAI · London

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and handoff. Works with government agencies, systems integrators and cloud providers on data residency, sovereign and regulated deployments, building prototypes on model APIs and Codex while feeding insights back to Product and Research.

Medtronic · London · £76,800 – £115,200 pa

Develops and maintains core application software for intra-operative medical devices, primarily in modern C++ (C++17+), within a multidisciplinary team spanning embedded, cloud and application software. Work covers device monitoring, cloud connectivity, debugging, and security and regulatory compliance for medical-grade systems, with two days per week onsite in London.

Medtronic · London · £76,800 – £115,200 pa

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

Amazon · London

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

Faculty · Remote (UK)

Lead the design, build and deployment of production-grade ML systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, acting as a technical advisor and mentoring junior engineers. Requires on-site work with customers 2-4 days per week and eligibility for UK Security Clearance.