Artificial Intelligence Jobs in London

• London
• Hybrid · 3 days in office
• Senior

Join the Computational Sciences team to design novel large-molecule therapeutics using a cutting-edge AI drug design engine. You'll develop machine learning methods to predict biologics properties from sequence, benchmark models, and analyse lab data to guide early discovery through candidate selection.

AlphaFold

• 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

• London
• Senior

Customer-facing technical role partnering with Sales and Field Engineering to design, implement and scale secure, governed Databricks data and AI architectures. You lead architecture discussions, build prototypes and reusable assets, and drive adoption and consumption across strategic accounts, mentoring peers along the way.

Databricks · AWS · Azure +7

• London
• Hybrid
• Senior

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 · Apache Spark · AWS +7

• London
• Hybrid
• Senior

Owns the software engineering that brings data science and ML products into live production for the Autoplanner team, building AI-powered planning systems for 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 duties.

AWS · GCP · Ocado Smart Platform

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

• Brentford
• £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

• London
• Hybrid
• £80,000 – £90,000 pa
• Senior
• Permanent

This role involves designing and scaling Azure Databricks-based data platforms, building robust data pipelines, and developing AI and LLM-powered capabilities. You will work closely with Product, Engineering, and Business stakeholders to deliver data products that support commercial decision-making and optimize cloud environments for performance and cost.

• Almondsbury
• £80,000 – £130,000 pa
• Mid-level
• Permanent

This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.

• London
• Hybrid
• £85,000 – £120,000 pa
• Senior
• Permanent

Lead the end-to-end architecture of AI-enabled products and platforms, from discovery and solution design through engineering delivery and live operation. Design production-ready solutions using LLMs, generative AI, RAG and AI agents, set evaluation and monitoring frameworks, and provide technical leadership to multidisciplinary teams. Also supports proposals, RFPs and mentoring of architects and engineers.

Microsoft Azure · AWS · Google Cloud Platform

• London
• Hybrid · 3 days in office
• £120,000 pa
• Director · manages people
• Contract

Lead an ARIA-backed £50m testbed building rack-scale AI systems, integrating emerging hardware into working pilots every six months and benchmarking them against commercial alternatives. The role spans programme delivery, partnerships, operating model and long-term backing within the Scaling Compute Programme, working with startups and research groups in an open environment.

• London
• Remote
• £60,000 – £70,000 pa
• Mid-level
• Permanent · Flexible

This role involves extending and improving a 22-agent agentic AI platform that connects fragmented school data and surfaces actionable insights. Responsibilities include building and refining agent sub-graphs, improving prompt engineering, and contributing to LLM benchmarking. The platform integrates multiple LLMs and uses LangGraph with a supervisor-of-supervisors architecture.

• London
• On-site
• £50,000 – £60,000 pa
• Mid-level
• Permanent

Design and evolve production multi-agent systems using Anthropic, OpenAI and Perplexity models on AWS, extending the company's MCP server with new tools. Build the eval and observability layer with golden datasets, regression suites and LLM-as-judge, own AWS infrastructure (ECS Fargate, Lambda, Step Functions, Bedrock) and guard against prompt injection and PII leakage. Set technical direction and mentor engineers.

Anthropic · OpenAI · Perplexity +7

• London
• Remote
• £600 – £650 pd
• Senior
• Contract

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.

• London
• On-site
• £90,000 – £120,000 pa
• Senior
• Permanent

Lead end-to-end architecture for AI-enabled products, platforms and digital services, from discovery and solution design through engineering delivery and live operation. Design responsible AI solutions using LLMs, RAG and agentic frameworks, and set reusable standards and reference architectures across cloud-native Azure, AWS or GCP estates.

Azure · AWS · Google Cloud Platform +7