Artificial Intelligence Jobs in Leeds

• Leeds
• Remote
• £80,000 – £90,000 pa
• Lead · manages people

Hands-on full stack lead role guiding a small development team across a portfolio of applications, setting engineering standards and shaping delivery. Work spans C#, .NET, Python, Azure PaaS, SharePoint and React, with an AI-native edge using GenAI tooling. Mainly remote with occasional light travel to Leeds and other offices.

Azure · Azure Functions · Azure Logic Apps +7

• Leeds
• Remote
• £70,000 – £75,000 pa
• Senior · manages people

Hands-on full stack engineering role guiding a small development team while collaborating with Product and Architecture. You'll build and shape delivery standards across C#, .NET, Python, Azure PaaS and React, with an AI-native edge using GenAI tooling and taking experiments through to production.

Azure · Azure Functions · Azure Logic Apps +7

• Nottingham
• £26,100 pa
• Junior

Supports the planning, delivery and optimisation of digital marketing campaigns for a diverse client portfolio, with hands-on work across Answer Engine Optimisation, SEO, content, social media, email marketing and analytics. Uses AI tools such as ChatGPT, Copilot, Gemini and Perplexity to research how clients appear in AI-powered search, build prompts and workflows, and create optimised content. Training is provided to build specialist expertise in this emerging area.

ChatGPT · Microsoft Copilot · Gemini +3

• London
• Mid-level · manages people
• Permanent

Manage a London-based team of associates producing labelled speech and language data for Alexa and Amazon Echo ML systems. Day to day you assign work, monitor queue adherence, volume and quality, hire and train associates, build weekly schedules across competing workflows, and track quality and utilisation metrics. You liaise with program management and global operations leads on risk mitigation and drive process improvement using Kaizen, Six Sigma or lean methods.

Alexa

• London
• Hybrid
• £75,000 – £80,000 pa
• Senior

Design and own end-to-end architecture for digital commerce and customer experience platforms, translating business requirements into scalable cloud-native solutions. Lead technical design, governance and risk mitigation while mentoring distributed teams and presenting to senior stakeholders. Involves Salesforce Commerce Cloud and other commerce technologies, with exploration of AI use cases.

Salesforce Commerce Cloud · commercetools · SAP Commerce Cloud +2

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

PyTorch · GAIA · GPU +1

• United Kingdom
• Hybrid
• £90,000 – £100,000 pa
• Lead

Technical leadership role shaping a SaaS product from first design conversation through to production code, moving between hands-on delivery and architectural decision-making. Works across a modern JavaScript/TypeScript stack with daily deployments, championing AI-assisted development where most code is agent generated, and leading a new Scottish engineering chapter.

Node.js · Vue · Redis +3

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

Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards with Data Engineering, and manage vendor governance, budgets and a team of CRO Scientific Leads, Operations Managers and Compound Managers.

AlphaFold · Agentic AI

• Cambridge, United States
• Hybrid · 3 days in office
• Lead

Lead DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments while integrating PK, PD and toxicology data for dose and safety predictions. Work within an AI-first preclinical team, shaping ADME predictive models and authoring regulatory documents to advance candidates toward first-in-human trials.

Python · R

• London
• On-site
• Lead · manages people

Lead a team of six applied scientists building vision-language models for document data extraction and sub-5MB models for on-device inference, while staying hands-on about half the time. The role spans roadmap-setting with product and engineering, dataset creation, model training and evaluation, and publishing research on distillation, quantisation and few-shot learning.

AWS · Encord · Ray +3

• London
• Hybrid
• Senior

Customer-facing, billable engineering role building and productionizing data and AI solutions on the Databricks platform. You own architecture and design decisions, delivering end-to-end systems spanning data engineering, ML/AI model integration and user-facing applications, embedding with client teams and travelling to customers around 20% of the time.

Databricks · AWS · Azure +7

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• London
• Remote
• £265,000 – £375,000 pa
• Senior
• Temporary

Paid, fixed-term research residency of six weeks to six months for people transitioning into empirical AI safety work, with a scoped project and direct mentorship from Anthropic researchers. Residents get Claude model and GPU compute access and work on alignment, interpretability, scalable oversight, red-teaming or ML systems alongside research teams.

Kubernetes · LLMs · Claude +1

• London
• Senior

Drives large-scale enterprise data warehouse migrations onto the Databricks Intelligence Platform across EMEA, partnering with GTM leadership, product specialists and account teams to shape adoption strategy. Acts as the tier-3 escalation point for complex or stalled migrations, builds assessment tooling and programmatic migration assets, and mentors the regional Solutions Architect community. Also feeds field insights back to Product and Engineering and authors whitepapers and conference talks.

Databricks · Teradata · Netezza +7

• London
• Lead
• Permanent

A senior professorial appointment leading the AI+ portfolio on learning, teaching and assessment, working through the King's Institute for Artificial Intelligence to connect nine faculties and shape institutional education strategy. The role combines strategic leadership with the professor's own research portfolio on AI in education, advising senior leaders and championing responsible AI integration.