Artificial Intelligence Jobs

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

Designs and implements translational strategies for small molecule programmes, overseeing in vitro/in vivo pharmacology, PK/PD and safety studies from early discovery through candidate selection and clinical phase. Manages external CRO networks and acts as the bridge between ML/computational predictions and laboratory validation, with some roles line-managing 2-3 in vivo pharmacologists.

Machine Learning · AlphaFold

• London
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, data fundamentals, machine learning, prompt engineering, RAG, and Hugging Face projects, ending with an AWS Certified Cloud Practitioner exam. It is a paid training course with a job guarantee rather than a direct employer role, offering tutor and recruitment support to place candidates into junior AI engineer positions.

Jupyter Notebooks · VS Code · Streamlit +6

• Hounslow
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and data ethics, ending with an oral exam and AWS Cloud Practitioner certification. It includes real-world projects such as a Streamlit car price app and a Hugging Face sentiment classifier, plus 1-to-1 tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +6

• Blackburn
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role with a partner employer within 20 miles of their location.

Azure · Git · GitHub +1

• London
• £25,000 – £45,000 pa
• Entry level

A self-paced traineeship taking complete beginners through AI fundamentals, Python, data handling, machine learning and Git/GitHub, plus Microsoft AI-900 certification and two tutor-assigned industry projects. On completion, candidates are placed into a Junior AI Engineer role within 20 miles of their location, with training designed to fit around existing work or unemployment.

Azure · Git · GitHub +1

• Switzerland
• Remote
• Senior

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

CUDA · DALI · nvImageCodec +1

• Bristol
• Hybrid · 2 days in office
• £450 – £480 pd
• Senior
• Contract

Designs, builds and deploys end-to-end AI/ML solutions for a banking client's Coach AI programme, including LLM-powered assistants, copilots and multi-agent agentic systems. Involves production deployment, MLOps pipelines, NLP, computer vision and voice AI, plus AI guardrails, responsible-AI governance and mentoring a team as senior lead.

TensorFlow · PyTorch · OpenAI +5

• London
• Hybrid
• Senior
• Permanent

Lead original technical research in AI safety, steering projects from research question to publication. Work spans interpretability, steering vectors, goal drift, machine unlearning and uncertainty calibration for transformer LLMs and agentic systems, with outputs informing frontier labs and government institutes. Involves building reproducible research code in PyTorch and Python.

PyTorch · Transformers · Metaview

• London
• Hybrid
• Lead · manages people
• Permanent

Leads a small, high-agency research team setting the scientific agenda for AI safety, with a focus on large language models and safety-critical systems. Involves conducting and overseeing red-teaming and evaluations in high-risk domains such as CBRN and cybersecurity, publishing at top conferences, and mentoring researchers while aligning work with commercial goals.

Python

• Didcot
• Hybrid · 2 days in office
• £700 – £900 pd
• Senior
• Contract

Architect and build multi-agent AI systems end-to-end, combining frameworks like LangGraph or Haystack with bespoke orchestration, state management and tool-calling logic. Embed LLMs and vision-language models into live reasoning, search and task-execution workflows, deploying across cloud and on-premises environments with monitoring, evaluation and guardrail tooling. Set technical standards for agentic AI within the team, working with a biotech and pharma customer.

LangGraph · LangChain · Haystack +7

• Scunthorpe
• On-site
• £60,000 – £65,000 pa
• Mid-level
• Permanent

Hands-on full stack development role building and improving internal applications, starting with a PHP/Laravel project, using AI coding tools such as GitHub Copilot to accelerate delivery. You own development, testing and deployment from supplied requirements, reviewing and debugging AI-generated code for security and maintainability, with longer-term progression towards leading wider AI implementation across a manufacturing business.

GitHub Copilot · PHP · Laravel

• Manchester
• On-site
• Director · manages people

Set the AI vision and roadmap while staying hands-on, architecting and deploying machine learning and generative AI solutions into production. Work spans RAG, LLMs, vector search and knowledge graphs, plus building a cross-functional team and establishing AI governance. Based fully on-site in Manchester, reporting into senior leadership.

PyTorch · TensorFlow · Vector Search +2

• Norwich
• Entry level
• Contract

Develops hybrid fault diagnosis methods for wind turbine drivetrains, combining analytical models of drivetrain physics with AI-driven data analysis to improve fault detection and classification. Work spans analytical studies, computer simulations, finite element analysis, and experimental development and validation, addressing a gap in condition monitoring for electrical faults.

• Norwich
• £20,409 pa
• Entry level
• Contract

Develops hybrid fault diagnosis methods for offshore wind turbine drivetrains, combining physics-based analytical models with AI-driven data analysis to improve fault detection and reduce false alarms. The work spans numerical simulation, finite element modelling and experimental validation, with the goal of supporting predictive maintenance and cutting downtime costs.

Accelerometers

• Birmingham
• On-site
• £21,805 pa
• Entry level
• Contract

Develops a physics-informed AI framework to design and optimise alternative cooling mechanisms and refrigeration cycles, integrating thermodynamic modelling, machine learning and multi-objective optimisation. Experimental work validates selected combinations, with scope to balance computational and lab effort. Based in the School of Chemical Engineering alongside sustainable cooling and energy storage research centres.