Artificial Intelligence Jobs

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

TensorFlow · PyTorch · AWS +5

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You will mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines with Docker and Kubernetes while shipping Python and compiled-language code alongside ML engineers and data scientists.

GitLab CI/CD · Docker · Kubernetes +1

• London
• Hybrid · 3 days in office
• Lead

Lead formulation strategy for small molecules across drug discovery and preclinical development, designing technologies such as solid dispersions and co-crystals to improve solubility, stability and manufacturability. Interpret stability studies using ICH and ASAP methods, author regulatory submissions, and work with external CROs alongside AI/ML drug design teams.

ASAP

• London
• Hybrid · 3 days in office
• Lead

Technically lead the Platform group, designing, operating and refining cloud infrastructure across research, development and production. Work spans GCP, Kubernetes, Docker, Terraform and Kapitan, plus CI/CD, observability and tooling, partnering with scientists, ML researchers and product teams. Reports to the Director of Engineering in a small, fast-moving team.

GCP · Kubernetes · Docker +7

• London
• Lead
• Permanent

Owns delivery of priority AI initiatives for OpenAI's largest customers, leading complex deployments from scoping and planning through launch and adoption. Builds integrated delivery plans, resolves blockers, drives launch readiness and enablement, and tracks adoption and consumption against agreed value measures. Works closely with account and technical teams, FDEs, customers and delivery partners, and turns customer experience into repeatable playbooks.

OpenAI

• London
• On-site
• Mid-level
• Permanent

You'll partner with early-stage startups to embed Codex into their software workflows, building integrations, automations and reusable tools while troubleshooting technical blockers. A large part of the role is outward-facing: leading technical talks, live demos, workshops and hackathons, then feeding developer insights back to OpenAI's product and research teams.

Codex · OpenAI

• Canada; United Kingdom; United States
• Remote
• US$100 ph
• Internship · Part time

Mentor-guided research residency turning open AI safety questions into empirical work: designing controlled experiments, building evaluation harnesses and agent environments, and studying failure modes like deception, collusion and misuse. Residents meet weekly with an SLPreP researcher and are expected to produce a conference paper.

NeurIPS · ICML · ICLR

• Munich - Berlin - London - Paris

Builds and deploys reinforcement learning agents for an autonomous aerial platform, owning the pipeline from large-scale simulation training to real-time deployment on flight-ready hardware. Works on multi-agent RL, partial observability and latency-constrained runtime integration in Python, Rust or C++.

GPU-based Simulators

• Barcelona, Spain

Design, train and deploy reinforcement-learning controllers for robots operating in complex, unstructured real-world environments, owning the full pipeline from physics-based simulation to hardware deployment. Work spans sim-to-real transfer, domain randomisation, vision-based perception and sensor fusion, combining learned policies with classical control under tight hardware constraints.

MuJoCo · Isaac Gym · Isaac Lab +5

• 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
• Senior

Hands-on individual contributor role building and deploying production Generative AI systems, LLM-powered applications and agentic frameworks in Python. Requires deep container expertise, especially OpenShift, plus mentoring junior engineers and shaping technical strategy for enterprise-wide AI adoption.

OpenShift · LangChain · LangGraph +7