Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

• London
• Hybrid · 3 days in office
• Lead · manages people

Lead a team of biologists in the Exploratory Sciences group, owning in vitro pharmacology strategy for novel modalities such as TPD, molecular glues and peptides. Design screening cascades and quantitative assays, set ML-ready data standards, and champion LLM agentic workflows alongside ML and engineering colleagues.

SPR · GCI · nanoDSF +5

• New York, United States
• Hybrid
• US$90,000 – US$130,000 pa
• Mid-level

Customer-facing role owning the full customer journey for physics AI solutions, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists, running account rhythms, tracking adoption and building AI-enabled tooling for account operations.

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Lead

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate engineering and physics challenges into product opportunities, tracking engagement and growing strategic accounts.

• United Kingdom
• Remote
• Senior · manages people

Lead a team of data scientists applying machine learning, large language models and reverse engineering to cybersecurity problems at massive scale, handling trillions of events daily. The role blends technical leadership, roadmap and stakeholder management with hands-on work on malware detection, threat analysis and AI-driven security automation.

AWS · Linux

• Spain
• Remote
• Senior · manages people

Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

AWS · Linux

• London
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting deployment standards.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.

AWS · Azure · GCP +5

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

ISO 26262 · SOTIF

• London
• Senior

Lead the design and deployment of applied machine learning models for infrastructure and engineering, owning the full lifecycle from problem formulation to production iteration. Work spans optimisation, simulation and scientific ML, partnering with MLOps, software and domain experts to embed AI into a SaaS platform, with mentoring and technical leadership duties.

PyTorch · TensorFlow · scikit-learn +1

• London
• £23,805 pa
• Entry level
• Contract

Develop a framework combining a differentiable reacting flow solver with a machine learning-based controller to anticipate and mitigate extreme events such as flashback and thermoacoustic instabilities in hydrogen and SAF combustion. The role sits within the European CONTEXT project, using high-fidelity simulations and Imperial's HPC facilities, with applications spanning novel actuators like spray water injection and electrically-driven droplet control.

HPC

• Southampton
• Hybrid
• £41,064 – £45,064 pa
• Contract

Embed physics-informed generative AI tools into a marine vessel concept, generation and evaluation platform as part of a Knowledge Transfer Partnership between Compute Maritime Ltd and the University of Southampton. Develop and validate fast physics-informed models for ship resistance, propulsion and energy efficiency using CFD and benchmark data, and integrate multidisciplinary optimisation methods into the NeuralShipper platform.

PyTorch · TensorFlow · JAX +2

• Cambridge
• £63,606 – £67,468 pa
• Senior
• Permanent

The role involves contributing to research and teaching in artificial intelligence and machine learning, with a focus on fundamental ML, novel models and architectures. The appointee will develop graduate content for the MPhil in Advanced Computer Science, contribute to undergraduate teaching, and build a research team supported by external funding.

• Liverpool
• £40,704 – £46,970 pa
• Entry level
• Contract

Conducts research on robustness, verification, evaluation and monitoring of Generative and Agentic AI systems, developing methods that provide formal or statistical guarantees. Focus areas include rare-event risk assessment, probabilistic reasoning, AI safety and alignment, and runtime monitoring, within an interdisciplinary team spanning machine learning, formal methods and statistics.

NeurIPS · ICML · ICLR +6

• London
• On-site
• Director
• Permanent

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.

MS Project · Smartsheet · Asana +3