Artificial Intelligence Jobs in London

Isomorphic Labs · London

Translates Isomorphic Labs' security strategy into engineering delivery, steering a multi-quarter InfoSec roadmap spanning Cloud Security, Platform IAM and Secure SDLC. Partners directly with engineering and ML teams to unblock architectural issues, secure drug discovery pipelines and build data-driven dashboards giving the CISO visibility into program health and risk metrics. Reports to the CISO with a functional tie to the TPM Discipline Lead.

Isomorphic Labs · London

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Databricks · London

Customer-facing role building and productionising data and AI solutions on the Databricks platform, owning architecture and design decisions for end-to-end systems spanning data engineering, ML/AI and application development. Embeds with client teams from engineers to executives, delivering production-grade reference architectures and reusable accelerators, with around 20% travel.

Databricks · London

Lead the technical strategy for enterprise accounts in media, entertainment and agencies, owning architecture discussions from discovery through production deployment and consumption growth. Design scalable lakehouse, streaming and ML/AI solutions while advising customer architects and engineering leads, with live coding in Python and SQL.

Harnham - Data and Analytics Recruitment · London · £80,000 pa

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.

eFinancialCareers · London · £100,000 pa

Technical business analyst role on a greenfield ETRM reimplementation programme at a major commodities organisation. Day to day involves capturing business and functional requirements, facilitating workshops, mapping front-to-back trade lifecycle processes, data mapping and interface specs, and running UAT, with exposure to Openlink Endur and AI-driven analysis. Works closely with trading, operations and technology teams in an Agile/Scrum delivery environment.

Tech Recruitment Specialists Ltd · London · £38,000 – £45,000 pa

Supports the development, optimisation and deployment of AI and machine learning models, working with large datasets for preprocessing and training, and helping monitor AI applications in production. Collaborates with software engineers, product teams and data specialists, contributes to backend development and API integrations, and researches new AI frameworks. Emphasis on responsible, ethical AI with bias mitigation, transparency and fairness.

eFinancialCareers · London

This role involves designing and delivering end-to-end agentic AI and LLM-based solutions for a leading investment house. You will work closely with business stakeholders to understand workflows, prototype AI systems, and integrate these solutions into existing enterprise systems, focusing on rapid delivery and measurable business impact.

BrightBox Group · London · £600 – £650 pd

Design and implement enterprise-level data and AI architecture, developing advanced AI engineering models and agentic AI systems. Lead deep data engineering projects including distributed systems, applying systems thinking to complex problems while providing technical leadership across cross-functional teams. Largely remote with one day per week in London.

Harnham - Data and Analytics Recruitment · Nottingham · £60,000 – £80,000 pa

Build and scale an AI-powered enterprise platform, owning end-to-end product development across React, TypeScript, Python, AWS and PostgreSQL. Work spans secure authentication, third-party integrations, event-driven services and collaboration with AI specialists, within a senior, high-accountability engineering team.

Ocado · London

Owns the software engineering that brings data science and machine learning products into live production for the Autoplanner team, building AI-powered planning systems across global warehouses and last-mile assets. Writes typed, well-tested Python (with some Java for OSP integration), builds APIs and data contracts, manages AWS deployments and CI/CD, and packages, serves and monitors ML models. Acts as engineering partner to data scientists and shares on-call support.

Synthesia · Austin, United States · US$211,197 – US$257,901 pa

Founding pre-sales role building Synthesia's North American Solutions Engineering function across Mountain, Central and West regions. Partners with AEs, Customer Success and Product Marketing on discovery, demos, POC scoping and technical solution design, while shaping the playbook, tooling and reusable assets as the team scales.

TXP · London · £600 – £650 pd

Lead business analysis across AI-enabled transformation programmes, running discovery, facilitating stakeholder workshops and mapping current and future-state processes. Assess AI use cases and translate emerging opportunities into practical recommendations, bridging business needs and technology. Predominantly remote, working with public-sector clients in a regulated environment.

Infused Solutions · London · £65,000 – £75,000 pa

Hands-on full-stack role building brand-new AI-powered products from concept to production within a small, senior engineering team. You'll architect scalable solutions, develop PoCs, prototypes and MVPs, build React UIs and Node.js/Express/Python APIs on Azure, and use AI-assisted development tools to accelerate delivery.

Bowers Partnership · London · £825 pd

Hands-on VP-level data scientist building generative AI, LLM/NLP and statistical modelling products end to end, from prototype to production, for a boutique investment bank's M&A and advisory bankers. Works in a small team, writing production-quality Python and explaining models and assumptions directly to senior non-technical stakeholders. M&A experience is essential; hybrid with at least three days a week in the London W1 office.