Artificial Intelligence Jobs

CrowdStrike · Germany

Security researcher on CrowdStrike Intelligence's Advanced Research Team, developing automated tooling to collect, process and analyse data at scale, including vendor patch analysis and exploit identification in large file collections. The role involves vulnerability research, reverse engineering, and reproducing 0-day and n-day exploits, with results published on the blog or at conferences. Work is remote and collaborative, spanning Windows and Linux internals with Python tooling.

CrowdStrike · Ireland

Security researcher role on CrowdStrike Intelligence's Advanced Research Team, performing vulnerability research and exploit development across a wide range of targets. Day-to-day work includes analysing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, alongside publishing research and supporting other intelligence teams.

Harnham - Data and Analytics Recruitment · London · £100,000 – £140,000 pa

Build and lead multimodal AI applications spanning text, audio and video, including AI-generated avatars and automated content summarisation, within a growing AI team in a mature data function. The role involves translating business needs into scalable, production-deployed AI products and collaborating with a multidisciplinary team, with technical leadership duties at Lead level.

NVIDIA · Switzerland

Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.

University of Oxford · Oxford · £49,119 – £58,265 pa

Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.

Faculty · London

Conducts original technical research in AI safety, designing experiments to study and steer transformer-based LLM behaviour using white-box and black-box interpretability methods. Builds reproducible research code and tooling in Python and PyTorch, and communicates findings to frontier labs, government bodies and safety institutes. Works alongside senior and lead scientists, with part-time hours open to discussion.

NVIDIA · United Kingdom

Hands-on development of kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. Works with MLIR, C/C++ and Python, partnering with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.

eFinancialCareers · London

Leads a global legal and professional services firm's AI and data agenda, translating strategy into a delivery programme that moves initiatives from experimentation to sustainable adoption. Works across legal, fiduciary and business services divisions on productivity, decision-making and client outcomes, reporting to the Director of Service Innovation and managing AI and data delivery teams through matrix leadership.

Databricks · London

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of production agentic AI use cases using Agent Framework, AgentBricks, MLflow evaluation and tracing, while acting as tier-3 escalation for complex field challenges.

Faculty · London

Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community. The role sits in a central R&D team focused on fundamental and applied technical AI safety research.

Opus Recruitment Solutions · United Kingdom · £80,000 – £90,000 pa

Designs enterprise-scale AI, data and automation solutions, architecting generative and agentic AI, RAG, vector database and multi-agent systems across OpenAI, Azure OpenAI, Anthropic and Google Gemini. Runs customer discovery and solution-design workshops, creates reference architectures and roadmaps, and supports technical pre-sales, governance and Responsible AI. Remote-first with client site visits.

Databricks · London

Lead and scale the UK Forward Deployed AI Engineering team, delivering professional services engagements that help EMEA customers productionise GenAI and ML applications. The role combines people leadership, executive customer relationships, and cross-functional work with Product, Research and Sales to shape delivery models and the product roadmap.

Wayve · London

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL-based data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, with close collaboration across Product, Safety and Release stakeholders.

Harnham - Data and Analytics Recruitment · London · £70,000 – £80,000 pa

Build, scale and maintain backend services including APIs, workflow engines and data services, integrating Java/Spring components with Python-based AI services. Work across AWS cloud infrastructure, CI/CD pipelines, observability and security best practices in a collaborative, fast-paced product team.

Scale AI · United Kingdom

Finance experts design and evaluate complex financial scenarios—valuation, forecasting, risk assessment and equity research—to test and improve generative AI models, giving detailed feedback on outputs for market relevance and compliance. Fellows may co-author research publications with Scale's team and work flexible 10–40 hour weeks within an interdisciplinary network.