Artificial Intelligence Jobs

• 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

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

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.

JAX · PyTorch · TensorFlow +3

• Singapore
• Hybrid
• Senior

Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.

PyTorch · JAX · NumPy +7

• Singapore
• Senior

Builds and deploys customer-facing applications powered by physics AI models, working directly with customers, data scientists and ML engineers. Involves rapid prototyping, backend development of FastAPI microservices in Python, and shipping to cloud infrastructure using Kubernetes, Helm, Terraform and AWS/Azure.

FastAPI · Helm · Kubernetes +3

• Ireland
• 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 technical objectives and driving research into production ML systems. The role combines people leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.

AWS · Linux

• 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

• Bedford
• Hybrid
• £38,655 – £46,492 pa
• Mid-level
• Contract

Integrates four strands of AI research into a single flight-deck assistant and validates it with airline pilots in Cranfield's Future Systems Simulator. Builds the software platform and automated test framework for real-time operation, creates flight scenarios, runs simulator trials and publishes findings within an EU Horizon Europe project.

Unity

• 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
• £36,000 – £38,000 pa
• Entry level

Support senior researchers on AI projects, handling data collection, algorithm development, experimental design and analysis, and contributing to reports and publications. Includes a structured 3-month training and induction programme with mentorship, aimed at recent graduates with Python, PyTorch or TensorFlow, NumPy, Pandas and Git exposure.

PyTorch · TensorFlow · NumPy +3

• Barcelona, Spain

Design, train and deploy reinforcement-learning controllers for robots operating in complex, unstructured real-world environments, owning the full pipeline from physics-based simulation to hardware deployment. Work spans sim-to-real transfer, domain randomisation, vision-based perception and sensor fusion, combining learned policies with classical control under tight hardware constraints.

MuJoCo · Isaac Gym · Isaac Lab +5

• London
• Lead

Hands-on principal engineer joining a small senior team tackling the hardest technical problems in public sector AI engagements. Shapes technical approach with clients, builds rapid prototypes spanning AI agents, RAG and evaluation pipelines, defines reusable architecture, and mentors engineers across a young organisation.

AWS · GCP · Azure

• Manchester
• Hybrid
• £28,000 – £32,000 pa
• Entry level
• Permanent

A graduate-level role analysing datasets to identify trends and opportunities, and supporting the development, testing and maintenance of statistical models and predictive solutions. You'll use Python, SQL, SAS or PySpark and machine learning techniques, presenting findings to technical and non-technical audiences while collaborating across teams on varied projects.

Python · SQL · SAS +1

• Cambridge
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated documentation such as protocols, clinical study reports and SAPs, and runs model evaluation and quality testing. Requires Python, SQL, LLM, prompt engineering and RAG familiarity.

GenAI · LLM · RAG

• London
• Remote
• Entry level

Supports the design and implementation of AI, ML, GenAI and agentic AI solutions to optimise clinical trial design and execution across R&D. Builds GenAI applications for automated clinical trial documentation such as protocols, study reports and SAPs, and evaluates model accuracy, relevance and consistency. Requires Python and SQL skills plus familiarity with LLMs, prompt engineering, RAG and cloud platforms.

GenAI · LLM · RAG