398 jobs for “machine learning Edinburgh”
PhysicsX Singapore
Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.
PhysicsX New York, United States
Builds and automates high-fidelity electromagnetic models across low- and high-frequency applications, from chip and package design to EMI/EMC, using tools like HFSS, Maxwell and CST. Works at the intersection of CAE and data science, generating simulation data to train ML surrogates, collaborating with customers and mentoring junior engineers.
CrowdStrike Spain
Lead a team of data scientists working at the intersection of machine learning, large language models and cybersecurity, translating business needs into research objectives and production ML systems. The role combines technical leadership, roadmap planning and stakeholder communication with hands-on work on malware detection and threat analysis at massive scale.
Faculty London
Build and scale AI-powered systems for public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
DGH Recruitment London £80,000 – £105,000 pa
Hands-on engineering role designing, building, deploying and supporting production-grade AI solutions in a professional services environment. Day to day involves developing AI applications, agents and automations with Microsoft technologies such as Copilot Studio and Azure AI Foundry, designing prompts and grounding strategies, and integrating AI into existing workflows. Distinct for its emphasis on real-world delivery over research or proof-of-concept work, plus close stakeholder collaboration and governance, security and compliance responsibilities.
Faculty London
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.
Carrington Recruitment Solutions London £95,000 – £105,000 pa
Hands-on role designing, building and maintaining production AI solutions across a professional services firm, focused on legal service delivery, knowledge management and operational efficiency. Work spans Copilot Studio, Azure AI Foundry and Azure DevOps, with prompt design, grounding strategies, agentic AI and integration into core business systems, alongside senior stakeholders and knowledge teams.
Wayve London
Develops, tunes and validates trajectory-generation and motion-control algorithms that turn the AI Driver's outputs into safe, smooth vehicle motion across multiple platforms. Owns production-quality, latency-sensitive C++ control software through the full lifecycle, using simulation, closed-loop evaluation and on-road testing to characterise controller behaviour and track comfort, tracking-error and safety KPIs.
Searchability Manchester £90,000 – £100,000 pa
Designs, builds and optimises production-grade AI solutions focused on RAG, LLMs and agentic workflows. Works with AI Platform Engineers to develop RAG pipelines, improve retrieval, implement fine-tuning and establish evaluation frameworks, while contributing to technical decisions, code reviews and mentoring.
UCL London £68,284 – £76,244 pa
Develops and leads an AI-driven research programme in biomolecular design and molecular interactions, combining structural biology, biophysics and machine learning to model protein–ligand, protein–protein and protein–nucleic acid systems. Teaches computational biology and biomolecular design at undergraduate and postgraduate level, including a new cross-division MRes in AI for Bioscience, within UCL's Research Department of Structural & Molecular Biology.
OpenAI London
Builds and scales the infrastructure that trains and deploys AI agents, spanning a novel in-house container orchestration platform, FastAPI and gRPC APIs, and Terraform-managed cloud systems. Works closely with researchers on large-scale training runs and with product teams launching agentic products to hundreds of millions of users.
OpenAI London
Builds and improves the core execution loop of Codex agents, working on prompting, tool-use strategies, context construction and model-facing experimentation. Runs evals to measure solve rate, regressions and failure modes, and analyses production failures to improve robustness. Sits between research, infrastructure and product to turn model capability into reliable, steerable tools for real software engineering tasks.
dunnhumby London
Joining the Retail Insight team, you will investigate, develop and deploy complex models and algorithms for Tesco, covering personalisation, basket analysis, pricing, promotions and loyalty. The role blends statistical modelling, machine learning and client-facing delivery, building reusable, scalable solutions alongside client leadership teams.
ElevenLabs United Kingdom
Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Builds tooling so researchers can explore and train on massive datasets quickly.
Medtronic London £76,800 – £115,200 pa
Designs, benchmarks and optimises deep learning models for computer vision and surgical video understanding, focusing on low-latency inference on edge and cloud devices. Works with ML, platform and embedded engineers on end-to-end video pipelines, using PyTorch, TensorRT and techniques like pruning and quantization. Distinct for its operating-room, safety-critical medical imaging context.
