Artificial Intelligence Jobs

Faculty · Remote (UK)

Lead the design, build and deployment of production-grade ML systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, acting as a technical advisor and mentoring junior engineers. Requires on-site work with customers 2-4 days per week and eligibility for UK Security Clearance.

Faculty · Remote (UK)

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams while working 2-4 days per week on client sites.

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.

Ncounter · Reading · £120,000 – £140,000 pa

Hands-on engineering leadership role overseeing a multidisciplinary team of software, platform and DevOps engineers. You'll own technical architecture and standards across cloud-native applications, AI/ML platforms and MLOps, while remaining close to delivery and shaping longer-term technical strategy for National Security and Defence customers.

Spectrum IT Recruitment · Ramsgate · £85,000 pa

Hands-on role taking ownership of software projects from requirements and technical design through to deployment and support. You'll build full-stack applications, APIs and AI-enabled automation, prepare products for commercial SaaS use, and shape architecture and standards while mentoring other developers in a small team.

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.

Carrington Recruitment Solutions · Birmingham · £80,000 – £90,000 pa

Hands-on full stack lead role guiding a small development team across a portfolio of applications, setting engineering standards while collaborating with Product, Architecture and wider technical groups. Tech stack spans C#, .NET, Python, Azure PaaS (Functions, Logic Apps, Cosmos DB, App Service, ARM/Bicep), SharePoint and React, with an AI edge and GenAI exposure welcome. Mainly remote with occasional Birmingham office visits and light travel to other offices.

Carrington Recruitment Solutions · Sheffield · £80,000 – £90,000 pa

Hands-on full stack lead role guiding a small development team across a portfolio of applications, setting engineering standards while collaborating with Product, Architecture and wider technical groups. Work spans C#, .NET, Python, Azure PaaS, SharePoint and React, with an AI edge including GenAI tooling and taking experiments through to production-grade solutions.

Holt Executive · Oxfordshire · £60,000 – £94,000 pa

This role involves designing and developing advanced computer vision algorithms for object detection, tracking, and 6DoF pose estimation, with a focus on integration into embedded and flight software systems. The engineer will lead verification and validation activities, support sensor selection and integration, and provide technical mentorship. Collaboration with multidisciplinary teams ensures performance and compatibility across hardware and software in autonomous systems.

Helsing · Berlin, Germany

Builds and benchmarks computer vision systems for scene matching, geo-registration, SLAM, visual odometry and 3D reconstruction, adapting state-of-the-art geometric deep learning to real-world conditions and constrained hardware. Works within a scene understanding and localisation team, collaborating across research, engineering and product to integrate outputs into navigation and decision-making pipelines.

Helsing · London

Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.

Harnham - Data and Analytics Recruitment · London · £40,000 – £50,000 pa

Analyses large, complex datasets to uncover business insights while supporting data pipeline development and engineering processes. Works with proprietary client data on Generative AI and LLM projects, including data labelling, model training and experimentation, collaborating closely with founders in an early-stage AI startup.

Scale AI · London

Builds and deploys end-to-end AI applications for public sector clients, from custom datasets and evaluation pipelines to fine-tuned and agentic models in production. Works closely with client stakeholders, data annotation specialists and cross-functional teams, with occasional travel of about two weeks per quarter.

NVIDIA · Cambridge

Serve as the primary technical contact for academic and research partners, driving adoption of NVIDIA's accelerated computing and AI stack. Work directly with labs and faculty on large language model workloads, integrating frameworks and libraries into research projects. Deliver hands-on training, workshops and lectures, and track emerging research trends to shape prototype solutions.

NVIDIA · Reading

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.