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 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.

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.

Experis · London · £600 – £644 pd

Builds production-grade GenAI and Agentic AI products within a product squad, using LLMs, RAG and agentic workflows. Requires strong Python engineering plus LangGraph, vector search, evaluation and Azure AI services to deliver secure, maintainable AI applications.

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.

Ageas Insurance Limited · London · £70,000 pa

Joins a Data Science & AI team to identify high-value GenAI use cases and productionise scalable AI services on AWS. Works in a cross-functional squad with DevOps, data engineers and Infosec, enhancing MLOps, CI/CD pipelines and an in-house AI Python library while assessing third-party LLM technologies.

NXA Talent LTD · London · £500 pd

Design and build agentic AI systems with multi-step reasoning, multi-agent orchestration and scalable AI microservices in Python and Azure OpenAI. Develop RAG architectures, vector search and orchestration workflows using Semantic Kernel and LangGraph, integrating enterprise systems via MCP. The role also covers AI governance, safety and deploying LLM services into production within a large retail environment.

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.

Rise Technical Recruitment · London · £80,000 – £120,000 pa

Builds, evaluates and optimises LLM, agentic AI and computer vision systems for financial crime compliance, including fine-tuning foundation models and training custom models. Develops benchmarks, back-testing and evaluation pipelines, and creates human-feedback improvement loops, working closely with engineering and product teams.