Artificial Intelligence Jobs

• London
• Hybrid · 3 days in office
• Senior · manages people

Lead and contribute to core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry problems. Work spans post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning and fine-tuning, with model training and inference engineering at scale. Interdisciplinary collaboration with research scientists and engineers, plus technical mentorship and project leadership depending on experience.

JAX · PyTorch · TensorFlow +3

• London
• Hybrid · 3 days in office
• Senior

Lead the hardening and scaling of an inference platform serving fleets of cutting-edge ML models for scientific applications. Set strategy and roadmaps, architect next-generation services to solve scaling limits, and partner with research, product and operations teams to align infrastructure with biotech R&D cycles.

Kubernetes · Google Cloud Platform · NVIDIA GPU +1

• United Kingdom
• Remote
• Contract

Fellows join an interdisciplinary expert network and are matched to short-term AI/ML projects, ranging from evaluating models and designing experiments to building RL environments and reviewing PyTorch code. They may also co-author technical reports and research papers with Scale's research team. Engagement is fully remote, self-scheduled, with no minimum commitment.

PyTorch · TensorFlow · AWS +2

• London
• Lead

Hands-on principal engineer joining a small senior team tackling the hardest technical problems in public sector AI engagements. Shapes technical approach with clients, builds rapid prototypes spanning AI agents, RAG and evaluation pipelines, defines reusable architecture, and mentors engineers across a young organisation.

AWS · GCP · Azure

• United Kingdom
• Remote
• Mid-level · manages people

Lead incident response engagements, hunting adversaries across large data sets and conducting intrusion investigations under outside counsel. Perform host, network and cloud forensics across Windows, Mac and Linux, plus basic malware analysis, and deliver findings to executives, regulators and legal teams.

CrowdStrike · AWS · Azure +6

• Redmond, United States
• Hybrid · 2 days in office
• US$140,000 – US$220,000 pa
• Senior

Owns the product strategy for CrowdStrike Falcon Privileged Access, driving the shift to just-in-time access, zero standing privileges, secrets management and session brokering across endpoint, cloud and infrastructure. Works with design and platform teams to embed privileged context into Falcon telemetry, and uses AI agent tooling daily for research, specs and prototyping.

CrowdStrike Falcon · CyberArk · BeyondTrust +7

• New York, United States
• Hybrid
• US$150,000 – US$250,000 pa
• Senior

Builds and deploys customer-facing applications on top of physics AI models, working directly with clients, data scientists and ML engineers. Involves full-stack work: FastAPI REST APIs and Python microservices, plus cloud deployment with Helm, Kubernetes, Terraform and AWS/Azure. Expect on-site travel to customer sites for 3-4 weeks per quarter.

FastAPI · Helm · Kubernetes +3

• London
• Hybrid · 2–3 days in office
• Mid-level

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.

JAX · NVIDIA Warp · OpenFOAM +2

• London
• Hybrid
• Mid-level
• Permanent

Builds and deploys production-grade ML software, tools and infrastructure, creating reusable solutions that accelerate ML delivery and capability testing of frontier AI models. Leads technical scoping and architectural decisions, advises clients and partners, and works with frontier labs on AI safety red teaming and evaluation.

AWS · Azure · GCP +5

• Remote (UK)
• Remote
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for defence clients, covering the full ML lifecycle from architecture and scoping to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, splitting time between client sites and remote work.

Scikit-learn · TensorFlow · PyTorch +5

• London
• Hybrid
• Senior
• Permanent

Train, debug and improve computer vision and 3D perception models for driver assistance, working across the full ML lifecycle from data and training to evaluation and iteration. The role spans latency-constrained on-car perception and large-scale offline work with lidar, maps and 3D reconstruction to build auto-labelling data flywheels.

LiDAR

• London
• Hybrid
• Senior
• Permanent

Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results and builds CI/CD tooling and observability to deliver ML systems reliably at scale.

PyTorch · TensorRT · GitHub Actions

• London
• Remote
• Senior

Acts as "customer zero" and advocate for Identity Security, defining and validating enterprise architectures for machine identity, secrets governance and agentic identity management. Produces technical content such as blogs, whitepapers and deep-dive decks, builds reference architectures and demos, and partners with specialist sellers and solutions teams on complex customer engagements. Also feeds product insights and leads market education through executive briefings and conference talks.

Palo Alto Networks

• Brentford
• Hybrid
• £70,000 – £95,000 pa
• Senior
• Permanent

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers, translating research into robust AI solutions for defence and security applications. Work across the full development lifecycle, from model design and training to deployment on cloud and edge platforms. Collaborate with researchers, engineers, and customers in a technically challenging environment focused on real-world autonomy and perception systems.

• Reading
• Senior

Technical account manager role focused on a small set of strategic software companies, driving integration of NVIDIA's AI platform, open models, SDKs and NIMs into partner products. Involves hands-on work with agentic AI systems and GPU-accelerated computing, plus developer advocacy, ecosystem mapping and representing NVIDIA at industry events.

NVIDIA · NIMs · SDKs