Artificial Intelligence Jobs

CrowdStrike · Aarhus, Denmark

Owns major components of the Windows kernel-mode endpoint sensor, architecting and building anti-virus and EDR features that cut across file system, memory, process and networking subsystems. Works on cross-platform deliverables with shared components across Windows, Mac and Linux, leading projects from design through delivery and demo.

CrowdStrike · London

Builds and owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, detects malicious behaviour and provides on-box prevention plus telemetry to the cloud. Work spans OS internals such as file system, memory, process and networking, with cross-platform components shared across Windows, Mac and Linux.

Wayve · London

Owns the end-to-end release cycle for autonomous-driving AI models, coordinating ML engineering, evaluation, data science, platform, testing and product teams. Defines release gates and promotion criteria from training through validation to fleet deployment, drives regression investigations and rollback decisions, and builds tooling and KPIs to remove bottlenecks in a non-deterministic ML environment.

Scale AI · London

Owns large enterprise AI projects end to end, from understanding customer pain points and defining requirements through development, testing and launch. Forward deploys with client teams to build bespoke GenAI applications on the Scale GenAI Platform, leading cross-functional groups and shaping product strategy with executives.

University of Oxford · Oxford · £39,424 – £43,984 pa

Develops 3D reconstruction and multi-view data fusion methods for neonatal cranial ultrasound, validating them on data from the neonatal intensive care unit. Works at the intersection of 3D computer vision, neural rendering and medical image analysis, including physics-informed rendering models for view-dependent acoustic appearance. Based in a multidisciplinary lab alongside deep learning researchers, software engineers and neonatologists.

NVIDIA · United Kingdom

Serve as a trusted technical advisor to software solution providers, developers and startups across EMEA, driving adoption of NVIDIA's AI and computing platforms. The role involves accelerating workloads, advising on enablement resources, mapping the developer ecosystem and feeding field insights back to product and engineering teams. It blends deep technical work with commercial go-to-market and partner engagement.

NVIDIA · Switzerland

Serve as a trusted technical advisor for the healthcare and life sciences developer ecosystem, helping partners integrate NVIDIA's AI and computing stack into their products and pipelines. Work spans agentic AI, clinical documentation, trial matching and cross-specialty orchestration, with responsibility for mapping the European ecosystem and feeding field insights back to product and engineering teams.

Anthropic · London · £165,000 – £190,000 pa

Partner with founders and engineers to architect LLM solutions on the Claude Developer Platform, guiding startups from technical discovery through deployment. Win technical evaluations, build evaluation frameworks, and feed emerging use cases back to Product and Engineering. Requires travel to customer sites and startup events.

Thought Machine · London

Technical Programme Managers own the delivery of complex, multi-team engineering programmes, from planning and milestones through to coordination and stakeholder communication. The role requires hands-on understanding of microservice stacks such as Kubernetes, Kafka and AWS/GCP, and involves driving continuous improvement across a fast-paced engineering organisation.

Aveni · United Kingdom

Hands-on technical leadership of the core platform services underpinning an AI product for regulated financial services, spanning client-data ingestion, CRM integrations and APIs, multi-tenancy, identity and data lifecycle. Leads roughly six to seven engineers while remaining close to production code, primarily Node.js on AWS with event-driven, distributed systems.

University of Southampton · Southampton · £46,970 – £49,798 pa

Lead a translational research project extracting structured clinical findings from electronic health records using open-source large language models, harmonising them to ontologies such as HPO, SNOMED CT and ICD-10. Develop reproducible LLM-based pipelines on high-performance computing, integrate clinical and genomic data for autoimmune disease diagnostics, and manage early career researchers within a multidisciplinary team.

Faculty · London

Scoping, building and delivering bespoke AI solutions for pharmaceutical and life sciences clients, managing individual work streams and translating operational requirements into user stories for engineering teams. Involves open-source analysis, workflow design and close collaboration with data science and ML experts, with a focus on high-stakes, user-centric decision-making.

Aioi Nissay Dowa Europe · Oxford · £81,322 – £112,488 pa

This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.

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.

Key Recruitment · Southampton · £70,000 – £92,258 pa

Lead the creation of an enterprise-wide AI Accelerator programme, combining technical leadership with programme-level influence. You will prototype with geo foundation models, agentic systems and LLM orchestration, write production-grade code, mentor participants and engage senior stakeholders to embed responsible AI across a geospatial data business.