Artificial Intelligence Jobs

• London
• Lead · manages people

Lead a team of data scientists while remaining hands-on, driving AI, NLP and Generative AI initiatives across a global legal services firm. Work spans LLMs, semantic search, RAG pipelines, deep learning and scalable Python NLP pipelines over structured and unstructured legal data, partnering with engineering, legal and business teams.

PyTorch · TensorFlow · SpaCy

• London
• Hybrid
• Lead

Lead the applied AI transformation of a legal services group, identifying where AI and automation can improve legal workflows and building LLM-powered solutions that reach production. Work with engineers, architects and senior stakeholders to define success metrics, deploy solutions and track measurable commercial impact. Requires hands-on LLM, RAG, Python, SQL and cloud data platform experience.

Azure · Databricks · Snowflake

• London
• Hybrid · 3 days in office
• £95,000 – £105,000 pa

Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.

Microsoft Copilot Studio · Azure AI Foundry · Azure DevOps +2

• United Kingdom
• Remote
• Lead

Serve as technical lead on front-page incident response engagements for Fortune 100 organisations, conducting intrusion investigations under outside counsel and performing host and network forensics across Windows, Mac and Linux. Also involves hunting threat actors in large data sets, cloud IR in AWS, Azure or GCP, and producing reports for customers, regulators and legal counsel.

CrowdStrike · AWS · Azure +6

• London
• Senior

Oversees the Databricks Delivery Partner Program, building relationships with global and regional system integrators to co-deliver services engagements. Runs partner selection, onboarding, governance and quality programs, driving MBRs/QBRs, scorecards and KPIs while coaching junior team members.

Databricks · Databricks Data + AI Platform · Genie +5

• 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

• Saint Peters, Australia
• Remote
• £80,000 – £100,000 pa
• Lead

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

LLM · NLP

• London
• Hybrid · 2 days in office
• £110,000 – £120,000 pa
• Lead · manages people
• Temporary

Newly created role leading data science within a programme to embed AI at scale across legal workflows. You will identify automation opportunities with SMEs, prototype LLM-based solutions, guide them into production, monitor for drift, and build a small team, starting by recruiting a colleague.

Azure · Databricks · Snowflake

• Bristol
• Hybrid
• £51,000 – £60,500 pa
• Senior

Works across multiple projects and all stages of the SDLC, leading software design, development, testing and deployment for AI and Computer Vision products. Splits time between internally and externally funded R&D, product development and client-facing service work, providing SME guidance on architecture and design within multidisciplinary teams.

Red Hat · Ubuntu · Pandas +6

• London
• Hybrid · 2 days in office
• £55,000 – £65,000 pa
• Mid-level
• Temporary

Lead the learning, capability and people-adoption workstream for an organisation-wide AI rollout, building staff knowledge, confidence and judgement to use AI responsibly and commercially. Work closely with AI strategy, technology, governance and implementation teams, designing and facilitating practical learning and running squad-by-squad embedding activities across multiple businesses.

Generative AI

• London
• Hybrid · 3 days in office
• Senior
• Permanent

Hands-on engineering partner to international public-sector customers, delivering scoped GenAI and agentic use cases from mission need through architecture, evaluations, production and handoff. Works with government agencies, systems integrators and cloud providers on data residency, sovereign and regulated deployments, building prototypes on model APIs and Codex while feeding insights back to Product and Research.

OpenAI · Codex · Model APIs

• London
• Hybrid
• £165,000 – £230,000 pa
• Lead

Lead delivery of custom agentic AI solutions for enterprise customers, owning engagements from SOW through production deployment. Drive delivery plans, product scoping, stakeholder relationships and value measurement while pressure-testing technical decisions alongside Forward Deployed Engineers. Involves up to 25-50% travel to customer sites and building repeatable delivery patterns.

• London
• Hybrid · 3 days in office
• Lead · manages people
• Permanent

Hands-on tech lead for Uncheck, an accounting disclosure product, owning the technical plan and delivery as it scales across customers and regions. Writes production code, reviews others' work, and leads how the team builds with AI agents, including safe review and testing of agent-written code. Mentors engineers and leads technical conversations with enterprise IT, security and architecture teams.

AWS · Python · LLMs

• London
• Hybrid
• £190,000 – £230,000 pa
• Director · manages people

Lead a team of Technical Deployment Leads embedded with strategic enterprise customers across EMEA, owning portfolio health, delivery strategy and executive relationships. Player-coach role: hire and manage TDLs, run engagement quality reviews, and personally lead the most complex deployments from SOW through production. Partners with Sales, Legal and Product to scale AI delivery playbooks.

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