Artificial Intelligence Jobs

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.

NVIDIA · Belfast

Lead security research, architecture and implementation for next-generation NVIDIA Networking products, taking a hands-on role defining hardware and software security solutions. Work across internal teams and external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding microarchitectural definition and open-source collaboration.

Faculty · London

Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.

Scale AI · London

Builds and scales backend systems and APIs that bring large-scale generative AI products to production for enterprise customers. Work spans distributed data systems, model serving, deployment pipelines, and cloud infrastructure across AWS, Azure, or GCP, in close collaboration with ML and product teams. The role centres on reliability, latency, throughput and cost optimisation in hybrid and multi-cloud environments.

Ocado · Hatfield

Hands-on technical role owning Retail Media and Google Analytics 4 analytics for the Enablement & Martech team, building and troubleshooting Looker Explores, resolving data-quality issues and scoping aggregation tables. Acts as liaison between Analytics Engineering, Product and commercial stakeholders to define, govern and migrate core Ecom metrics, while mentoring junior analysts and driving Looker governance.

Harnham - Data and Analytics Recruitment · London · £75,000 – £85,000 pa

Owns the infrastructure, deployment and operational excellence of production machine learning systems within a growing AI and data organisation serving the public sector. Builds ML orchestration pipelines with Dagster, Airflow or Prefect, runs Kubernetes and Terraform/Bicep infrastructure, and maintains CI/CD and observability for models and LLM-powered solutions, working closely with data scientists and client-facing teams.

Harnham - Data and Analytics Recruitment · London · £70,000 – £80,000 pa

Build, scale and maintain backend services including APIs, workflow engines and data services, integrating Java/Spring components with Python-based AI services. Work across AWS cloud infrastructure, CI/CD pipelines, observability and security best practices in a collaborative, fast-paced product team.

Tenth Revolution Group · London · £75,000 – £105,000 pa

Builds and deploys production LLM and Generative AI applications for enterprise clients, including RAG solutions, scalable data pipelines and AI-powered services. Works in a collaborative consultancy team of engineers and architects, applying software engineering best practices to take AI from proof of concept into production, with monitoring and optimisation of live systems.

VIQU IT Recruitment · London · £50,000 – £70,000 pa

Hands-on engineering role deploying and configuring a platform on Palantir Foundry for large industrial enterprise customers. You will build data pipelines, transformations and integrations, connect customer data sources, and work directly with client stakeholders to get deployments live, supported by senior FDEs and repeatable patterns.

Circle Recruitment · Cardiff · £45,000 – £53,000 pa

Lead the design, development and deployment of AI-powered tools, including automation, RAG and LLM-based workflows, while guiding technical direction and mentoring a small team of engineers. Work with senior stakeholders on secure, scalable, governance-compliant AI systems, using Python, Java or JavaScript/TypeScript with frameworks such as PyTorch and TensorFlow.

Darktrace · Cambridge

Conducts independent and collaborative research across large language models, statistical methods and classical machine learning, prototyping ideas and implementing models into the wider software stack. Produces optimised solutions for latency and memory, including deployment on edge devices, working closely with software engineers and security analysts.

Synoptix · Gloucestershire · £51,000 – £60,500 pa

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.

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.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Hybrid role in a consultancy, contributing reusable patterns to a wider architecture practice.

Searchability · Chester · £40,000 – £50,000 pa

Design, build and deploy AI agents that automate business processes and interact with company data, working with LLMs, prompt engineering, RAG and API integrations. Take solutions from requirements through to production, testing AI outputs and improving agent performance while exploring new technologies to support the wider AI strategy.