Artificial Intelligence Jobs

• New York, United States
• Hybrid
• US$240,000 – US$300,000 pa
• Director · manages people

Leads regional deployment engineering for a physics AI platform, owning end-to-end success of customer-owned infrastructure deployments. Acts as primary technical contact for CIOs and CTOs, overseeing Kubernetes-based platform rollouts, security reviews, and version upgrades while hiring and growing a team of deployment engineers.

Kubernetes · AWS · Azure +6

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• London
• Hybrid · 3 days in office
• Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

• 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
• Permanent

Builds the tools that make Studio a video editor people want to live in, including transitions, color grading and elements libraries on top of an in-house engine, plus presets that spare users from tweaking many controls. Mixes greenfield features with polish on the existing editor, such as one-step keyboard shortcut rebinding for Premiere Pro and Final Cut Pro users. Frontend-leaning full-stack role owning features from proposal through launch.

Premiere Pro · Final Cut Pro

• United Kingdom
• Remote
• Permanent

Founding full-stack engineer for an ads engine that plans, generates, localizes, launches and learns from ads across major platforms using ElevenLabs' audio and video stack. No PM or handed-down spec: you talk to users, decide what to build, and ship across data pipelines, agent tools and UI, building pragmatically with LLMs, retrieval and evals.

CMS

• Cambridge
• Hybrid · 2 days in office
• Senior

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.

Docker · Git · Cloud Computing

• London
• Hybrid · 2 days in office
• Senior

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.

Docker · Git · Cloud Computing

• Cambridge
• Hybrid
• Permanent

Join a small, dynamic R&D team prototyping and implementing new approaches to AI problems, evaluating output quality, efficiency and feasibility against other techniques in a data-driven way. Work spans data science on large datasets, modelling and evaluation, using Python ML frameworks such as PyTorch, TensorFlow and Scikit-Learn. Open to graduates as well as senior candidates with published work in NLP, Computer Vision or Deep Learning.

Python · PyTorch · TensorFlow +1

• Cambridge
• Hybrid
• Mid-level
• Permanent

Joins a new Quality team to build and maintain a state-of-the-art QA process, writing end-to-end tests with Cucumber, Cypress and Playwright and investigating defects to prevent recurrence. Acts as the link between Development and Product, formalising specifications into testable units and driving the shift toward automation as standard, including release quality metrics.

Cucumber · Cypress · Playwright

• London
• Hybrid
• Permanent

Builds and optimizes the large-scale compute platform behind frontier AI, spanning bare-metal automation, Kubernetes scheduling, high-performance networking, storage, and fleet health. Engineers work across the stack, profiling training workloads, improving NCCL and collective communication, and creating tooling that makes heterogeneous clusters reliable and usable.

Kubernetes · NCCL · RDMA +3

• London
• Hybrid
• Permanent

Backend-focused product engineering role building Go services and APIs that let developers and AI agents work in parallel within customer-controlled cloud environments. You'll design orchestration for long-running tasks, handle permissions, credentials and isolation, and own outcomes from customer discovery through shipping and operating production systems.

AWS · GCP · Azure +2

• London
• Hybrid
• Mid-level
• Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, spanning the full ML lifecycle from architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and setting deployment standards.

Scikit-learn · TensorFlow · PyTorch +5

• 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

• London
• £70,000 – £80,000 pa
• Mid-level

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.

FastAPI · PostgreSQL · AWS +6