Artificial Intelligence Jobs

CrowdStrike · United Kingdom

Lead a team of three data scientists at the intersection of machine learning, big data and cybersecurity, setting technical standards and driving strategy for threat detection and agentic AI systems. Work spans research through production deployment, using CrowdStrike's large-scale behavioural and malware data, while mentoring the team and partnering with security research, engineering and product.

CrowdStrike · Spain

Leads a team of three data scientists building machine learning and agentic AI systems for threat detection, malware analysis and security automation. Owns technical strategy, roadmaps and production deployment while mentoring staff and partnering with security research, engineering and product teams.

Wayve · London

Lead a newly dedicated Runtime Platform team building the application frameworks, middleware, IPC, performance and observability foundations that let Wayve's onboard AI Driver run in real time. The role is people-first, combining coaching, hiring and roadmap ownership with technical direction across latency, profiling, real-time scheduling and embedded Linux, partnering with vehicle software, hardware and OEM programme teams.

Wayve · London

Lead a team of ML engineers and applied scientists building synthetic data from generative world models like GAIA-3, turning them into a production engine for training-grade driving experience. Own the loop end to end, from checkpoint and large-scale GPU inference to artefacts landing in driving-model training, while setting technical direction on rig transfer, pose transfer and controllability.

Humanoid · London

Teleoperate humanoid robots and follow structured procedures to generate high-quality datasets for training AI models, using on-site tools such as the Universal Manipulator Interface. A large part of the work is annotating and labelling multimodal data with precision, escalating anomalies and suggesting workflow improvements. Full training is provided and no technical background is required.

King's College London · London

A senior professorial appointment leading the AI+ portfolio on learning, teaching and assessment, working through the King's Institute for Artificial Intelligence to connect nine faculties and shape institutional education strategy. The role combines strategic leadership with the professor's own research portfolio on AI in education, advising senior leaders and championing responsible AI integration.

King's College London · London

A senior professorial appointment leading the AI+ portfolio on education, community and innovation, working through the King's Institute for AI to connect nine faculties. The role drives responsible integration of AI into teaching, learning, assessment and community engagement, while shaping institutional strategy alongside the Vice President (Education & Student Success) and maintaining a personal research portfolio.

SJIT · London · £550 – £650 pd

Lead a London specialty insurer's first AI initiative from a blank slate, identifying and prioritising use cases such as broker submissions, document processing and claims data. Shape the data, tooling and governance foundations, then build and ship production solutions using LLMs, RAG and cloud AI services. The role also involves explaining work to senior stakeholders and handing over to the in-house team.

Hays Technology · Newcastle upon Tyne · £450 – £550 pd

Hands-on technical lead role within a major AI transformation programme, designing and building production-grade RAG pipelines, semantic search, vector/embedding infrastructure and generative AI capabilities. Involves LLM orchestration, agentic workflows, AI evaluation and guardrails, MLOps, and mentoring engineers while integrating solutions into complex cloud and legacy environments.

Reperio Human Capital · Athlone, Ireland · £69,059 – £86,324 pa

Defines the technical strategy and architecture for AI-enabled Fixed Network solutions, leading delivery of Generative AI, Agentic AI and network automation to modernise OSS platforms. The role combines hands-on work with GCP, Python, Kubernetes and microservices with leadership of complex multi-vendor technical programmes in a telecoms environment.

Ulster University · Londonderry · £49,798 pa

Supports SMEs across the INNOVATE+ project in adopting AI responsibly, ethically and trustworthily. Advises on ethical considerations in AI design and use, develops practical guidance and policy recommendations, and helps businesses comply with emerging legislation and regulatory frameworks while managing risk. Part of a project team within the School of Computing, Engineering and Intelligent Systems.

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.

EMBS Engineering · London · £75,000 – £85,000 pa

Lead a team of AI developers while remaining hands-on, building enterprise-grade Generative and Agentic AI applications for a financial services client. Work spans Python and Java services, FastAPI APIs, LLM integrations, RAG architectures and agent-based workflows on AWS Bedrock, AgentCore and EKS, plus CI/CD and DevOps. Also involves setting engineering standards and mentoring within a consultancy team.

Luminance · Cambridge

An 8-week internship embedded in a software engineering team, working alongside and mentored by an engineer from day one. Interns contribute to real engineering work at a fast-paced AI company, with a MacBook Pro and extra computing resources provided. Requires at least three days a week on-site in Cambridge, with up to two days remote.

Helsing · Barcelona, Spain

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.