Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Lead

Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues without line-management duties.

AlphaFold

• Cambridge, United States
• Hybrid · 3 days in office
• Senior · manages people

Designs and leads in vitro and cellular pharmacology strategies for small-molecule drug discovery programmes, defining screening cascades and overseeing biophysical, biochemical and cell-based assays. Works closely with AI/ML, medicinal chemistry, structural biology and in vivo teams, and manages external CRO activities to link computational predictions with laboratory validation. Some roles include line management of 2-3 scientists.

SPR · ITC

• Sheffield
• £40,704 – £45,641 pa
• Permanent

Deliver tutorials and lab classes in AI and robotics, supporting students one-to-one and helping colleagues run practical sessions. Involves preparing robots, machines, software and data, with practical software development and current AI/robotics knowledge required. Joins a large School of Computing and Digital Technologies with a research-active Smart Interactive Technologies lab.

PlayStation

• London
• Hybrid
• Senior

Delivers models, algorithms and insights for Tesco UK Suppliers using transactional, shopper and clickstream data, covering personalisation, basket analysis, pricing and promotions. Partners with Client Leadership teams to scope needs and build scalable, reusable solutions, working in Python, SQL and ideally PySpark within a hybrid London team.

Python · SQL · PySpark +1

• London
• Hybrid
• Lead
• Permanent

Provide scientific leadership across model evaluation and applied use cases, ensuring foundation models stay grounded in drug development and translational research challenges. Act as a key scientific partner to the research team, mentor junior colleagues, and work with Product and Business Development to turn biology and ML into customer-facing deliverables.

• London
• Hybrid
• Director
• Permanent

Lead scientific evaluation and applied use of foundation models in drug discovery and translational research. Act as a senior individual contributor and scientific partner, mentoring junior colleagues while working with Product and Business Development to turn biology and ML into customer-facing deliverables as the team scales.

• Southampton
• Hybrid
• £45,900 pa
• Lead
• Permanent

Lead the Maritime Innovation Hub's work on digitalisation, AI, data, connected technologies and autonomous surface ships. You will horizon-scan, build industry and academic networks, produce guidance, and support policy and regulatory colleagues while helping innovators navigate the maritime regulatory regime. The role is outward-facing and international, feeding into the IMO Digitalisation Strategy.

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.

AWS · Kubernetes · TensorFlow +4

• Lisbon, Portugal
• Hybrid · 3 days in office
• Senior
• Permanent

Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.

TensorFlow · PyTorch · Triton +2

• London
• On-site
• Senior
• Permanent

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.

PyTorch · CUDA · Triton +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

• Exeter
• £21,805 pa
• Contract

Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.

Neural Ordinary Differential Equations · Deep Neural Networks · Recurrent Neural Networks +2

• Exeter
• £21,805 pa
• Entry level
• Contract

Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks and autoencoders for genome-wide scalability. The purely computational project feeds a lab-in-the-loop cycle with pancreatic cancer screens from the AstraZeneca and Cancer Research Horizons Functional Genomics Centre, with results released as open-source software.

Perturb-seq · DepMap · Project Score

• London

Build a greenfield deep learning research stack for a new central trading team at a prop trading firm, with major GPU and compute investment. Work in a pod-like structure on neural networks, transformers, LLM-driven research, multi-modal modelling and agentic systems, including LLM fine-tuning for regression and forecasting. The setup is explicitly non-traditional and non-linear, with strong autonomy to shape research direction early.

GPUs