Artificial Intelligence Jobs

PhysicsX · London

Own a research work-stream at the frontier of 3D geometry representation and generation, designing and training generative models (VAEs, diffusion, flow matching, autoregressive latent models) over point-cloud, mesh, voxel and implicit-field data. Work against production numerical solvers so model quality is measured in validated physics, and close the coupling between geometry and physics for physically-driven shape generation alongside ML, simulation engineers and customers.

Faculty · London

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define best practices for deploying ML at scale, and mentor junior engineers. Distinct for its focus on red teaming, evaluation and high-stakes government and frontier lab work.

Faculty · London

Set technical direction for complex AI/ML projects, leading delivery of large-scale platforms in high-risk national security environments. Define roadmaps across multiple workstreams, justify architectural decisions to senior stakeholders, and coach engineers while building shared deployment and CI/CD infrastructure. Requires DV eligibility and occasional on-site client work.

Darktrace · Cambridge

You will prototype and develop new ideas to improve Darktrace's cybersecurity services, balancing creativity with time constraints while collaborating with a cross-functional team of engineers, designers and strategists. Work spans rapid prototyping and structured platform development, with a primary focus on TypeScript alongside Docker and cloud environments.

Harnham - Data and Analytics Recruitment · London · £100,000 – £130,000 pa

Design, build and operate LLM-powered systems, taking AI products from experimentation to reliable production deployment. Work spans multi-step agent workflows, production-scale RAG, evaluation frameworks and retrieval pipelines, with mentoring duties at Lead level. Python and cloud infrastructure underpin the full development lifecycle.

Harnham - Data and Analytics Recruitment · London · £75,000 – £80,000 pa

Hands-on role owning the modelled data layer, building staging, mart and analytics models in dbt and BigQuery that power reporting, self-service analytics and data activation. Works closely with Data Engineering and analysts to evolve the warehouse into a scalable global platform, with dbt testing, lineage, documentation and Looker/LookML development.

Darktrace · Cambridge

Contributes to security research projects spanning rapid prototyping and open-ended initiatives, with a focus on generative AI security and attacker tradecraft. Investigates threats such as prompt injection, poisoning and extraction attacks, and provides feedback to product, development and machine learning teams. Hybrid role requiring two days a week in the London or Cambridge office.

Relation Therapeutics · London

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

Emponics · Newcastle upon Tyne · £70,000 pa

Senior technical lead in a shared-service AI and automation team, designing large-scale automation, Infrastructure as Code and domain-specific AI agents across Azure and OCI. Hands-on with Terraform/Bicep, CI/CD, scripting and LLM-assisted tooling, while mentoring engineers and driving AI-first, automation-first ways of working.

Deerfoot Recruitment Solutions · Hertfordshire · £35,000 pa

Floating tester across a Data Platforms and Analytics function, covering middleware, data analytics, RPA and data platform teams. Uses AI tooling, including an in-house LLM-based tool, to generate and execute tests, then validates output. Tests an internally built AI agent, APIs, end-to-end data flows, Azure Synapse, Microsoft Fabric, Power BI, Tableau and UiPath RPA processes, writing SQL and lightweight Python for data reconciliation.

Emponics · Newbury · £70,000 pa

Senior technical lead in a shared-service AI and automation team, designing large-scale automation, Infrastructure as Code and domain-specific AI agents across Azure and OCI. The role sets technical direction for industrialising provisioning, improving resilience and recovery times, and mentoring engineers while driving an AI-first, automation-first approach.

eFinancialCareers · London

Design and build AI-powered tools, automations and integrations using Python, PowerShell and APIs, exploring Agentic AI and LLM use cases across internal business functions. Advise on embedding AI into enterprise architecture within a regulated investment management environment, working with engineering, product and business teams. Distinct for its focus on engineering productivity and architecture strategy rather than traditional ML modelling.

eFinancialCareers · London · £90,000 – £120,000 pa

Hands-on technical leadership role owning AI solution design, architecture and delivery for large-scale, regulated environments, initially healthcare. Leads multidisciplinary engineering teams building production generative AI, LLM, RAG and agentic systems on Azure or AWS, while coaching engineers and managing client stakeholders.

Advancing People · Brussels, Belgium

Builds and maintains Python-based Intelligent Document Processing pipelines, focusing on AI-driven document understanding such as data extraction and classification. Works in a product team alongside AI, front-end and infrastructure engineers, using LLMs, Flask/Django/FastAPI and cloud infrastructure. Requires two days per week in the Brussels office.