Artificial Intelligence Jobs

785 jobs for “ai engineer”

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Amazon · Public

Senior AI/ML Consultant, AWS Professional Services

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  • London
  • Hybrid
  • Senior · manages people
  • Permanent

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

AWS · Amazon Bedrock · SageMaker

Clearance required 2 months ago

Carrington Recruitment Solutions

Technical AI Consultant, Claude, Cloud Technologies, Consulting, Big 4

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  • London
  • Hybrid · 3–4 days in office
  • £65,000 – £80,000 pa

Hands-on role turning AI ideas into working solutions for clients, building proofs of concept, writing code and guiding delivery towards live services. Day-to-day use of Claude Code and other AI tools, coordinating technical teams from partner firms, and running client workshops. Requires consulting background, ideally Big 4, with Python and cloud experience.

Claude · Claude Code · Microsoft Azure +2

3 weeks ago

UCL

Group Leader in Multimodal AI for Cancer

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  • London
  • £57,570 – £75,660 pa
  • Lead
  • Contract

Lead an independent research programme applying multimodal AI and machine learning to digital pathology and electronic health record data, working with large-scale clinical datasets to advance translational cancer research. The role sits within a collaborative cancer institute and involves close partnership with UCLH's SAFEHR programme, publishing high-impact work, securing external funding, and mentoring junior researchers.

Yesterday

University of Sheffield

Research Associate in Computational Pathology and Multimodal AI

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  • Sheffield
  • £39,560 – £48,337 pa
  • Entry level
  • Contract

Build deep learning models that fuse digitised histology with radiology, multiplex imaging, spatial transcriptomics and clinical data to predict cancer risk, recurrence and treatment response. Work within the NEOPATH group alongside pathologists, coordinating meetings, contributing to grant applications and presenting to academic, clinical and patient partners.

Yesterday

King's College London

Research Associate in AI and Evidence Synthesis

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  • London
  • £45,031 – £52,514 pa
  • Entry level
  • Contract

Designs, builds and evaluates AI-enabled evidence synthesis tools and pipelines for the METIUS programme, writing production-quality Python code and onboarding consortium partners. Runs methodological and evaluation studies on the reliability and usability of AI-assisted synthesis methods, publishing the results, and contributes to the Solace-AI project on climate-health emergencies. Works alongside software developers, data scientists and evidence synthesis specialists.

Python

2 weeks ago

University of Essex

Computer Vision AI Data Scientist for eSports (KTP Associate)

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  • 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

2 weeks ago

University of Aberdeen

Senior Lecturer in AI for Healthcare & Medical Sciences

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  • Aberdeen
  • £61,165 – £68,817 pa
  • Senior
  • Permanent

The postholder will lead the integration of AI and digital technologies across undergraduate and postgraduate healthcare and medical sciences programmes, working with programme teams, the University's AI Lab and the Centre for Academic Development. Responsibilities span curriculum development, teaching, educational scholarship and interdisciplinary collaboration, helping students grasp the opportunities, limitations and ethical, legal and societal implications of AI in clinical practice and biomedical research.

Visa sponsorship 2 weeks ago

Halecroft Recruitment

IT Support & AI Developer

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  • Runcorn
  • £25,000 – £30,000 pa
  • Entry level

A combined first-line IT support and junior development role, troubleshooting hardware, software and user accounts while building AI, coding and automation solutions. You'll research emerging AI tools, maintain the company website in Next.js, and help migrate data to a new provider. Suited to a graduate or aspiring IT professional with personal coding projects.

Next.js · Python · JavaScript +2

Last week

University of Oxford

Postdoctoral Researcher: AI Safety in Mental Health

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  • Oxford
  • Hybrid · 3 days in office
  • £39,424 – £47,779 pa
  • Entry level
  • Contract

Deliver AI safety research for the ARIADNE consortium, a Wellcome-funded generative AI system conducting clinical interviews to assess psychosis risk. Develop LLM supervisor modules that detect delusional reinforcement and inappropriate responses to suicidal symptoms, evaluating them in controlled testbeds with simulated patients and LLM-as-judge scoring calibrated against clinicians.

PyTorch · LLM APIs · Google DeepMind

Last month

University of Exeter

PhD in Explainable AI for Early Dementia Detection and Deployment

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

Develops explainable, trustworthy machine-learning models for early dementia detection, integrating multimodal data such as neuroimaging, cognitive assessments, genetics and biomarkers. Uses latent knowledge-enhanced representations, vision-language agentic frameworks and uncertainty quantification, with clinician evaluation of bias and fairness. Validated through a longitudinal multimodal prediction and explanation system.

MRI · PET · ADNI +2

2 weeks ago

Faculty

Principal Research Scientist - AI Safety

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  • 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

Last month

Faculty

Technical Director of AI Safety

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  • London
  • Hybrid
  • Director · manages people
  • Permanent

Senior leadership role owning the technical strategy for AI safety, setting research directions across alignment, interpretability and robustness, and leading a new R&D team. Involves red-teaming and evaluations for frontier labs and national safety institutes, plus external thought leadership and cross-functional work with commercial teams.

OpenAI · Anthropic · Metaview

8 months ago

Liverpool John Moores University

Associate Professor - Applied AI in Marketing

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  • Liverpool
  • On-site
  • £61,165 – £68,817 pa
  • Senior
  • Permanent

The role involves leading applied AI in marketing research and scholarship, mentoring academic colleagues, and collaborating with subject and programme leaders to shape teaching and research strategy. It supports the business school's AACSB accreditation and TEF Gold aims, requiring a strong publication record and innovative, high-impact teaching.

3 weeks ago

Spectrum IT Recruitment

Senior Web Developer - AI-First Development

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  • Eastleigh
  • On-site
  • £50,000 – £70,000 pa
  • Senior

Full-stack role building and maintaining features end-to-end, from UI through APIs, databases and deployment, working across frontend, backend, data and web rather than specialising. Developers own features from concept to deployment and use AI-assisted tools such as Claude, Copilot or Cursor daily for coding, testing and documentation.

React · Vue · Svelte +8

5 days ago

Spectrum IT Recruitment

Full Stack Developer AI

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  • Southampton
  • On-site
  • £40,000 – £50,000 pa
  • Mid-level

Build and maintain features end-to-end, from UI through APIs, databases and deployment, working across the full stack rather than specialising in one layer. The team takes ownership of features from concept to deployment and actively uses AI-assisted tools like Claude, Copilot and Cursor for coding, testing and documentation.

Claude · GitHub · Copilot +3

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