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 · Reading

Six-month graduate internship in the Falcon Complete team, triaging and analysing security alerts, investigating customer inquiries, and performing basic malware analysis. Interns learn the Falcon platform and internal tooling while managing administrative tasks and presenting a project to improve security controls.

CrowdStrike · London

Internship on CrowdStrike's Technical Analysis Cell, researching nation-state and criminal intrusions through reverse engineering of malware and tooling. The intern documents findings, builds automation for malware analysis, creates host- and network-based detection signatures, and produces threat intelligence reporting for varied audiences.

Darktrace · London

Deploys, integrates and optimises AI-driven security technology across network, cloud, OT and email environments for post-sales customers. Handles deployment projects against SLOs, resolves support tickets and acts as a trusted advisor on security infrastructure design, liaising with sales, customer success and operations.

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.

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

Sits within the Insight Enablement function of the Tesco Insights team, shaping enablement strategy and transformation initiatives so Client Success teams can deliver value. Defines propositions and frameworks across products and tools, connects stakeholder needs to business priorities, and champions adoption of AI and emerging technologies.

Talent Smart · Sheffield · £700 pd

Consultant role bridging the CTO organisation and Data Security teams to map AI and Agentic AI capabilities, define security controls and guardrails, and take business ownership of AI-enabled data security outcomes through to production. Covers data access governance, encryption, database activity monitoring and control integration across the wider data protection landscape.

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

Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.

Medtronic · London · £95,200 – £142,800 pa

Builds and maintains the internal platform tooling that other engineering teams rely on, spanning Infrastructure as Code with OpenTofu, EKS and Helm, CI/CD automation, and observability with OpenTelemetry. Works across software groups to remove developer productivity gaps and supports AI agentic workflows, with technical mentorship expected. Based in London with two to three days a week in the office.

Experis · London · £70,000 – £110,000 pa

Hands-on leadership role taking AI solutions from proof of concept to secure, production-grade deployments in regulated Security & Justice environments. Involves designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps and ensuring governance and security compliance across LLM, RAG and MLOps workstreams.

Databricks · London

Expert-level technical leader owning the most complex enterprise customer engagements, driving consumption strategy and executive relationships as the definitive technical authority. Leads multi-workload platform architectures, enterprise migrations, real-time systems and AI/ML at scale, while mentoring junior architects and orchestrating cross-functional teams. Requires deep Databricks platform expertise, Python/SQL coding proficiency and a declared technical specialisation.