Artificial Intelligence Jobs

CrowdStrike · Israel

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 analyzing vendor patches, identifying exploits in large file collections, reverse engineering, and building automated data collection and analysis tooling, with published research on the blog or at conferences.

CrowdStrike · Germany

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.

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.

Harnham - Data and Analytics Recruitment · London · £75,000 – £85,000 pa

Owns the infrastructure, deployment and operational excellence of production machine learning systems within a growing AI and data organisation serving the public sector. Builds ML orchestration pipelines with Dagster, Airflow or Prefect, runs Kubernetes and Terraform/Bicep infrastructure, and maintains CI/CD and observability for models and LLM-powered solutions, working closely with data scientists and client-facing teams.

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.

Scale AI · United Kingdom

Fellows design complex, domain-specific problems and datasets to rigorously evaluate generative AI models, then provide expert interpretation to improve their accuracy and reasoning. They collaborate with partner AI labs and Scale's research team, potentially co-authoring technical reports and benchmarks. Work is project-based within an interdisciplinary network of academics, with flexible 10–40 hour weeks.

Scale AI · United Kingdom

Fellows design domain-specific problems and datasets to evaluate generative AI models, then provide expert insight to improve their accuracy and reasoning. Work is project-based with partnered AI labs, including co-authoring technical reports and research papers with Scale's research team. Fully remote, flexible 10-40 hour weeks within an interdisciplinary network.

Isomorphic Labs · London

Builds greenfield machine learning models and algorithms for drug discovery, designing new architectures, running experiments, and scaling training and inference frameworks. Works in an interdisciplinary team of ML scientists and domain experts, with opportunities to lead projects and mentor others depending on experience.

Multiverse · London

Bridges People strategy with hands-on technical product management, building an AI-native People function from the ground up. Owns the vision, strategy and quarterly roadmap for internal People Ops technology, covering core HR systems, integrations, data flows, identity and automation for ~1000 employees. Requires systems thinking and influence across People, Engineering, Security, Compliance, Legal and Analytics.

Darktrace · Cambridge

Works within Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, providing expert technical direction and mentoring engineers across languages such as Python, JavaScript, Rust and C++. Involves advancing methodology for defending against unknown cyber-attacks, shaping technical strategy, and engaging with executive leadership. Hybrid role with two days a week in the Cambridge office.

Darktrace · London

Works within the Cambridge R&D teams on high-impact projects spanning rapid prototyping and structured platform development, advancing methodology for defending against unknown cyber-attacks. Provides expert technical direction, mentors engineers across languages like Python, JavaScript, Rust and C++, and engages executive leadership on technical strategy. Requires Docker, cloud, CI/CD and Git proficiency with a strong interest in cyber-security and malware forensics.

Synthesia · London

Owns the end-to-end roadmap for enterprise governance, content lifecycle and admin tooling, from workspace setup through compliance controls. Works closely with engineering, design, Solutions, CS and Legal on deal-critical features, defining adoption and escalation metrics. London-anchored with in-person time and regular travel.

NVIDIA · Switzerland

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python skills plus deep knowledge of ML framework internals and CPU/GPU architectures.

NVIDIA · United Kingdom

Develops performance optimizations in deep learning frameworks using JAX, contributing to JAX core components and driving peak performance on NVIDIA hardware. Works with AI researchers to build future-proof models and tooling that bridges numerical computing, simulation and deep learning research. Requires C/C++ and Python, ML framework internals, and CPU/GPU architecture expertise.

Amazon · London

Customer-facing cloud architect role in AWS's UK Solutions Architecture team, focused on the Travel and Hospitality industry. You lead architecture reviews, whiteboarding sessions, demos and technical workshops, manage the technical relationship with customers, and create reference architectures and best practices across AI/ML, serverless, containers, analytics and security.