Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior

Lead translational pharmacology for an AI-first drug discovery team, shaping neurodegeneration strategy and target validation. Bridge dry-lab AI models with experimental biology, designing screening cascades and managing CRO studies to advance programs from target ID to portfolio entry.

SPR · TR-FRET · Mass Spectrometry

• 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

• Singapore
• Mid-level

Build and deploy applications that put physics AI models into customers' hands, working directly with customers, data scientists and ML engineers. The role spans the full stack: FastAPI microservices in Python, cloud deployment with Kubernetes, Helm, Terraform and AWS/Azure, plus rapid prototyping. Expect travel to customer sites in Asia, North America and Europe for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• Singapore
• Lead · manages people

Lead technical initiatives in Field Engineering, architecting deep learning models and optimisation methods to predict and control physical systems. You will build scalable production data pipelines, mentor junior team members, and work on-site with customers across North America, Europe, Asia and Oceania for 2-3 weeks per quarter.

NumPy · SciPy · Pandas +2

• Spain
• Remote
• Lead · manages people

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Owns technical strategy, roadmaps and production deployment while mentoring staff and partnering with security research, engineering and product teams.

AWS · Linux

• Ireland
• Remote
• Lead · manages people

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Sets technical standards and strategy for ML development, deployment and monitoring, while staying hands-on with Python, big data and cloud infrastructure.

AWS · Linux

• 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

• Milton Keynes
• Hybrid
• £41,950 pa
• Entry level
• Contract

Develops novel computer vision techniques to capture and analyse live-broadcasted eSports events, identifying in-game events and building low-latency AI calculations for in-play betting markets. Works with Python, TensorFlow or PyTorch alongside Java and .NET colleagues, using historical game data and video feeds to detect irregular play patterns. A KTP partnership between the University of Essex and Sports Information Services Ltd.

TensorFlow · PyTorch · .NET

• 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

• 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
• 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

• Welwyn Garden City
• Hybrid · 2–3 days in office
• £700 – £850 pd
• Lead · manages people

Hands-on technical lead owning the AI function end to end, designing and building LLM-based agents, assistants and agentified dashboards over enterprise data. Sets reusable patterns and standards, works with Quality & Compliance on GxP validation, and mentors engineers while partnering with IT, security and data governance teams.

FastAPI · Pydantic · asyncio +7

• Oxford
• On-site
• £49,119 – £58,265 pa
• Senior
• Contract

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.