Artificial Intelligence Jobs

Hadean · London

Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.

Isomorphic Labs · Cambridge, United States

Lead medicinal chemistry on drug discovery projects from initiation to clinical candidate selection, either as Project Lead or Medicinal Chemistry Lead. Partner closely with ML scientists to refine the AI drug design platform, manage CRO resources, and generate IP. Some roles include line managing 2-4 chemists.

Isomorphic Labs · Cambridge, United States

Lead computational drug design programs from initiation through to clinical candidate selection, applying AI-first approaches and shaping the company's ML drug design engine. Work cross-functionally with ML, biology and chemistry teams, with optional people management of 2-3 computational chemists.

CrowdStrike · London

Builds and maintains a high-performance, fault-tolerant production backbone network spanning multiple cloud providers, covering IP and optical technologies that connect data centres and edge sites. Owns improvement initiatives from funding and planning through implementation, drives capacity forecasting, and participates in a 24x7 on-call rotation.

CrowdStrike · London

Builds and operates an end-to-end validation pipeline for CrowdStrike's Cloud Detections Platform, verifying component, system and application-level features across processing, data and customer-facing layers. Manages CI/CD with Jenkins or GitHub Actions, improves automated test coverage, and diagnoses root causes of production outages in large-scale distributed systems.

Darktrace · Cambridge

Acts as the go-to authority in a chosen reliability specialism—observability, performance engineering, data infrastructure, security-focused SRE or network reliability—defining standards and best practices across SRE, Platform Engineering and DevSecOps. Builds tooling and automation, leads deep-dive investigations into systemic issues, and contributes to incident response and on-call rotations in a cloud-native, Kubernetes-based environment.

Darktrace · Cambridge

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

NVIDIA · Cambridge

Lead security research, architecture and implementation for next-generation networking products, taking a hands-on role defining hardware and software security solutions. Work across teams and with external partners on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms, guiding open-source implementation and customer threat resolution.

NVIDIA · Bristol

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 hardware, software, research and product teams, plus external partners, on IO interfaces, boot architecture, RISC-V, root-of-trust and secure platforms.

dunnhumby · London

Joining the Retail Insight team, you will investigate, develop and deploy complex models and algorithms for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. The role blends statistical modelling, machine learning and client-facing delivery, building reusable, scalable solutions alongside client leadership teams.

Medtronic · London · £76,800 – £115,200 pa

Develops and maintains core application software for intra-operative medical devices, primarily in modern C++ (C++17+), within a multidisciplinary team spanning embedded, cloud and application software. Work covers device monitoring, cloud connectivity, debugging, and security and regulatory compliance for medical-grade systems, with two days per week onsite in London.

Medtronic · Edinburgh · £76,800 – £115,200 pa

Designs and manages complex research data pipelines spanning clinical study data collection through validation trials, supporting an AI and algorithm R&D team. Owns data architecture, storage, security and ETL/ELT workflows across sensor platforms and HPC environments, working with Python, SQL and CI/CD automation to enable machine learning and signal processing applications.

Databricks · London

Owns the EMEA go-to-market strategy for Databricks' financial services vertical, spanning banking/payments, capital markets and insurance. Sets vision, builds field sales assets and account/segment-level plans, cultivates C-level customer and partner relationships, and works cross-functionally with sales, pre-sales, marketing and enablement. Acts as industry thought leader through white papers, keynotes and events, with travel required.

Rise Technical Recruitment · London · £120,000 – £150,000 pa

Own the end-to-end AI game generation pipeline, leading a multidisciplinary team across ML, data engineering and game development. Define architecture, evaluation frameworks and playability metrics, and drive model routing, caching and retrieval strategies to cut generation costs while improving quality.

eFinancialCareers · London

Leads a global legal and professional services firm's AI and data agenda, translating strategy into a delivery programme that moves initiatives from experimentation to sustainable adoption. Works across legal, fiduciary and business services divisions on productivity, decision-making and client outcomes, reporting to the Director of Service Innovation and managing AI and data delivery teams through matrix leadership.

Speechmatics · Cambridge

Work on complex R&D projects within a Modelling Team that trains large self-supervised speech models and deploys them to production. Involves distributed training, transformer architectures, and inference optimisation, with mentoring and cross-department collaboration.