Artificial Intelligence Jobs

CrowdStrike · Romania

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design through prototyping, implementation and production operations. Works autonomously on a distributed remote team, gathering requirements from analysts and choosing the technology stack, with existing Go and Python codebases to maintain.

CrowdStrike · United Kingdom

Builds and operates large-scale data processing pipelines, storage systems and presentation layers for the Intelligence team, owning systems from design and prototyping through production deployment and long-term maintenance. Works fully remotely with analysts as internal customers, choosing your own tech stack across Go, Python, SQL/NoSQL and cloud.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Sits within a private equity firm's value creation function, designing and building scalable data platforms and architecture for portfolio companies. Works hands-on with SQL and Python to establish data engineering foundations for analytics and AI-ready environments, while advising C-suite stakeholders across varied data maturity levels and technology stacks.

Darktrace · Cambridge

Works at the intersection of security engineering and generative AI, researching, designing and prototyping agentic workflows that can be applied across the Darktrace product ecosystem. Collaborates with product, engineering and machine learning teams to take ideas from concept to prototype, while maintaining product knowledge through open-ended research projects.

Darktrace · London

Works at the intersection of security engineering and generative AI, researching, prototyping and shaping agentic workflows within the Darktrace product ecosystem. Combines deep product knowledge across Network, Email, Cloud and Endpoint with cross-functional collaboration across product, engineering and ML teams, in an open-ended, research-driven role.

PhysicsX · London

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.

PhysicsX · New York, United States · US$150,000 – US$190,000 pa

Delivery-focused role embedding physics-aware AI models into customer tools, working on-site with clients across aerospace, automotive and energy. Involves building reliable ML data pipelines, manipulating 3D point-cloud and mesh data, and translating R&D outputs into reusable libraries and products. Expects travel of 3-4 weeks per quarter to customer sites worldwide.

Reperio Human Capital · Dublin, Ireland · £388 – £474 pd

Hands-on engineering role owning AI/ML initiatives end-to-end, from solution design and experimentation through deployment, monitoring and optimisation. Involves building production ML and GenAI solutions including RAG architectures, working with Snowflake and cloud data platforms, and developing Python and R software with strong MLOps, CI/CD and DevSecOps practices. Collaborates with data, product and business teams to turn ambiguous problems into scalable, secure solutions.

Luminance · Cambridge

Owns the software development lifecycle that produces packaged releases of an enterprise legal AI platform for distribution to clients. Day to day involves keeping the lifecycle efficient, unblocking the tech team, and analysing the SDLC for weak points to build human or automation solutions improving efficiency, reliability and visibility.

Databricks · London

Lead a team of Enterprise Named and Strategic Account Executives covering Telco and Utilities in UKI, owning team quota and growing platform consumption. You set territory plans, quotas and patches, drive forecast accuracy and partner with cross-functional teams on a full revenue and customer success process. Reports to the RVP, Enterprise.

Databricks · London

Drives large-scale enterprise data warehouse migrations onto the Databricks Intelligence Platform across EMEA, partnering with GTM leadership, product specialists and account teams to shape adoption strategy. Acts as the tier-3 escalation point for complex or stalled migrations, builds assessment tooling and programmatic migration assets, and mentors the regional Solutions Architect community. Also feeds field insights back to Product and Engineering and authors whitepapers and conference talks.

OpenAI · London

Lead and grow a London-based engineering team building real-time safety and oversight systems for AI agents, including the Auto-review permission-boundary model. The role blends hands-on technical work—shaping architecture, reviewing designs, debugging, and coding—with hiring, coaching, and setting the operating cadence. It is highly cross-functional, partnering with alignment researchers, product, security, and infrastructure teams.

Luminance · London

This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....

OpenAI · London

Design and build distributed failure detection, tracing, and profiling systems for large-scale AI training workloads, identifying slow or faulty nodes and surfacing performance bottlenecks. Work deep in the stack across collective communication, parallelism, fault tolerance, and observability, collaborating with systems, infrastructure, and research teams to evolve the training platform.

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.