Artificial Intelligence Jobs

CrowdStrike · Reading

Owns major components of the Falcon endpoint sensor, a Windows kernel-mode driver that observes system activity, prevents malicious behaviour and streams telemetry to the cloud. Work spans architecture, design and delivery across file system, memory, process and networking subsystems, with shared components across Windows, Mac and Linux. Involves leading projects, mentoring and collaborating in a distributed team.

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.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

Luminance · London

Sits at the intersection of product, customers and market, working with blue-chip clients to maximise value from legal-grade AI technology and shape product innovation for a global customer base. Also acts as a company ambassador, speaking at industry conferences and partnering strategically with the leadership team.

Wayve · London

Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data and large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.

OpenAI · London

Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, from use-case selection through prototyping, evaluation, and production rollout. Combines hands-on coding in Python with customer leadership, building evaluation harnesses, integrations, and reusable architectures while feeding deployment insights back to Product and Research teams.

Liverpool John Moores University · Liverpool · £61,165 – £68,817 pa

The role involves leading applied AI in marketing research and scholarship, mentoring academic colleagues, and collaborating with subject and programme leaders to shape teaching and research strategy. It supports the business school's AACSB accreditation and TEF Gold aims, requiring a strong publication record and innovative, high-impact teaching.

WeDoTech · London · £120,000 – £160,000 pa

Hands-on technical leadership role building and scaling enterprise Generative AI, LLM and agentic AI systems across multiple engineering teams. Involves designing production-grade RAG and multi-agent solutions, shaping reusable AI frameworks and standards, and ensuring reliability and governance in a regulated financial services environment.

Amazon · London

Lead end-to-end delivery of complex AI/ML engagements for enterprise customers, from strategic planning through pre-production deployment and optimisation. Architect solutions on AWS services with a focus on Generative AI using Amazon Bedrock and SageMaker, while mentoring junior consultants and supporting pre-sales scoping. Based in AWS UK offices when not at customer sites.

Morgan McKinley · London · £60,000 – £70,000 pa

Owns the Oracle NetSuite financial platform for a global education group, leading end-to-end regional implementations, data migration, UAT and go-live for newly acquired schools. Builds SuiteFlow workflows, SuiteScript customisations and third-party integrations, while handling BAU administration, multi-currency compliance and reporting. Reports to the Group Head of Financial Systems, bridging finance, school leadership and technical architecture.

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.

Morson Edge · West Yorkshire · £170,000 – £180,000 pa

A senior leadership role owning the data and AI strategy, roadmap and technical direction across the organisation. Day to day it spans hands-on work with generative AI, LLMs, RAG and agentic architectures, MLOps and data platform governance, plus building and leading a high-performing Data & AI team and partnering with Product, Engineering, Architecture and Security to scale prototypes into production.

Harnham - Data and Analytics Recruitment · Nottingham · £60,000 – £80,000 pa

Build and scale an AI-powered enterprise platform, owning end-to-end product development across React, TypeScript, Python, AWS and PostgreSQL. Work spans secure authentication, third-party integrations, event-driven services and collaboration with AI specialists, within a senior, high-accountability engineering team.

eFinancialCareers · Belfast

Hands-on player-manager role leading a growing Data & Analytics function, combining Power BI development, SQL analysis and AI exploration with stakeholder management and delivery leadership. You will build dashboards and semantic models, manage the Power BI environment and backlog, prototype HTML-based analytical applications, and apply generative AI and Copilot to improve reporting while coaching analysts and engineers.

Wayve · London

Owns the data strategy behind an end-to-end autonomous driving AI platform, spanning the full learning cycle from foundation model training to production programmes. Leads a multidisciplinary data organisation, deciding what data matters and building the flywheel from real-world signals through discovery, curation and enrichment. Focuses on finding rare, safety-critical scenarios in very large datasets using embeddings, semantic search and model-driven selection.