368 jobs for “ai analyst”
Scale AI London
Lead and grow Scale AI's enterprise product design team, setting the direction for design across applications used by enterprise and government customers making high-stakes decisions. Own hiring, craft standards, and design execution from problem scoping to delivery, while shaping interaction patterns for human-in-the-loop and agentic AI systems.
Scale AI London
Interns own real, shipped work on the same roadmaps as full-time engineers, building agentic AI applications, evaluation infrastructure, data pipelines and fraud-detection systems for Scale's Global Public Sector team. Work spans Python, TypeScript, React and MongoDB, with mentorship and a strong ownership culture.
Isomorphic Labs London
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.
Isomorphic Labs London
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.
Synthesia UK Remote
Shape how the company shows up in experiential moments worldwide, designing booths, spatial environments, signage, print and merchandise from concept to production. Develop cohesive event identities across physical and digital touchpoints, storyboard motion content for keynotes, and art-direct external vendors. Works in a small senior brand design team with low process and high ownership, requiring travel across Europe and the US.
PhysicsX New York, United States US$200,000 – US$250,000 pa
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization) into customer production environments, building scalable training and inference pipelines and APIs on cloud and on-prem. Leads scoping and architecture design, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter to embed AI models on-site.
PhysicsX London
Builds and validates high-fidelity multiphase CFD and coupled CFD-DEM models, covering geometry clean-up, meshing, simulation, post-processing and experimental validation for granular and particle-laden systems. Automates parametric CAD and simulation pipelines for design optimisation and DoE, generating datasets for ML surrogate models on cloud and HPC resources, while working on-site with customers and mentoring junior colleagues.
Luminance Cambridge
Lead complex engineering projects across the full SDLC, mentor other application engineers, and collaborate with cross-functional teams to define technical requirements and system architecture. The role also involves driving best practices in coding, testing and maintenance, and becoming a subject matter expert in one or more areas of the technology stack.
Faculty London
Lead delivery across an AI safety portfolio, overseeing frontier model evaluations and red teaming projects for government and public sector clients. Act as the primary link between customers and data scientists, translating safety research into strategy while growing accounts and mentoring team members.
Faculty London
Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.
Luminance London
First point of contact for technical support queries via phone and Intercom, resolving straightforward issues and triaging complex ones to second and third line teams. Maintains accurate incident records and keeps customers informed throughout the request lifecycle, collaborating closely with escalation teams.
VIQU IT London £75,000 – £80,000 pa
Designs and deploys AI/ML models for forecasting, propensity, churn and customer segmentation, owning end-to-end workflows from feature creation to ML Ops deployment and monitoring. Works hands-on across multiple products, architecting bespoke datasets and coaching junior data scientists in a cloud-native, AI-first SaaS team.
Anthropic London £255,000 – £325,000 pa
Product engineer building internal tools and platforms, working across backend, frontend and infrastructure with Python, TypeScript and React. The role sits at the intersection of engineering, product and design, requiring direct user consultation, spotting patterns across requests and turning them into reusable primitives and abstractions rather than one-off features.
Anthropic London £325,000 – £485,000 pa
This role involves owning and scaling Kubernetes control plane components to support Anthropic's large-scale AI training infrastructure. You'll extend the scheduler for topology-aware and gang scheduling of ML workloads, operate core cluster services like service discovery, and ensure high availability across multi-cloud accelerator fleets. The work is deeply technical, focusing on reliability and performance at extreme scale in collaboration with research and inference teams.
Wayve London
Works at the boundary between onboard software and vehicle hardware, bringing up new vehicle platforms on benches, HiL systems and vehicles, including at international test locations. Builds and maintains vehicle-facing components and shared frameworks in C++, Python or Rust on Linux-based robotic and automotive systems using ROS2, CAN and Automotive Ethernet, with diagnostics, tooling and documentation for long-term supportability.
