15 of 15 Machine Learning Jobs in Edinburgh

learning tools to unlock new understanding in gene regulation, synthetic biology, and next-generation therapeutics. This is a rare opportunity for an ML Engineer to join a highly ambitious, science-led team at an early stage and help scale a machine learning platform with real-world … work at the intersection of machine learning engineering, data infrastructure, and applied research, helping translate novel scientific ideas into robust ML systems. Key areas of focus include: Building and optimising deep learning models (PyTorch) Developing and maintaining scalable data pipelines for large genomics datasets Experiment tracking, benchmarking ...

production. This is a blended role combining MLOps, Data Engineering, and DevOps, well-suited to an engineer who enjoys working across the full ML and data lifecycle. You will work within dynamic, multi-disciplinary project teams, collaborating closely with data scientists, software engineers, and client stakeholders to deliver scalable, production … ready ML and data solutions across a diverse range of commercial sectors. This role offers strong opportunities for career development, exposure to real-world ML systems, and continuous learning within a fast-growing engineering team. Key Responsibilities & Skills: Own and manage the end-to-end lifecycle of machine ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. · Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). · Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems, Distributed Systems, AI Model Serving, Machine learning infrastructure. You will work closely with architects to prototype and optimize the next generation of global AI clusters. What you will be doing … PyTorch) Hands-on experience with distributed KV cache optimization Familiarity with GPU and how they execute LLMs Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. Solid grounding in systems research methodology, distributed algorithms, and profiling tools. Proficiency in C/ ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

Preferably a PhD, at minimum a masters degree, in Computer Science, distributed systems, or related field. Strong knowledge of Distributed Systems, OS internals, and Machine Learning systems architecture. Hands-on experience with LLM serving frameworks (vLLM, Ray Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ … tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research ...

Bring PhD in Computer Science, Electrical Engineering, or a related discipline. Strong foundation in distributed systems and operating systems principles. Understanding of machine learning infrastructure and large-scale model serving. Experience with systems-level programming in C/C++. Proficiency in Python for experimentation and rapid prototyping. Familiarity … ideas clearly and work effectively in collaborative environments. Doctoral research in distributed systems, large-scale infrastructure, or AI platforms. Contributions to recognised systems or machine learning conferences. Hands-on experience with load balancing, fault tolerance, or cluster scheduling. Exposure to distributed caching, state management, or high-performance cloud ...

such as cache sharing, data locality, and cluster scheduling Prototype and evaluate next-generation inference architectures Research & Innovation Contribute to cutting-edge systems and ML research Publish at leading conferences and drive internal adoption of new approaches Collaboration Work closely with global research and engineering teams Communicate technical findings … optimisation tools Solid understanding of distributed algorithms Nice to Have PhD in systems, distributed computing, or AI infrastructure Publications in top-tier systems or ML conferences Experience with load balancing, fault tolerance, and resource scheduling Background in large-scale cloud or AI infrastructure environments Why Apply? Work on cutting-edge ...

chops to back it up. Key Requirements: Node.js Python AWS Strong hands-on AI/LLM skills. Meaningful time building and operating AI/ML systems in production. React (nice to have). Compensation : This role is offering an incredibly competitive salary + extended benefits package. How to apply: Please ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

Python Engineer - AI/ML Automation Location - remote, with occasional trip to Edinburgh or Glasgow when required Duration - 6 months with possible extensions Day rate - circa £520 Outside ir35 We are looking for an experienced Python Engineer to join a forward-thinking agile team focused on building AI-driven automation ...

Python Engineer - AI/ML Automation Location - remote, with occasional trip to Edinburgh or Glasgow when required Duration - 6 months with possible extensions Day rate - circa £520 Outside ir35 We are looking for an experienced Python Engineer to join a forward-thinking agile team focused on building AI-driven automation … integrate solutions into existing digital platforms Support production systems, ensuring performance, reliability, and continuous improvement Contribute to research and development of innovative AI/ML solutions Write clean, maintainable, and well-tested code following best engineering practices Participate in agile ceremonies, code reviews, and collaborative development activities Mentor team members ...

ingestion• Drive improvements across loose-coupled device-to-platform integrations, ensuring devices are more closely monitored and managed• Oversee the roadmap for AI/ML applications, including the split of AI capabilities between edge devices and the central platform• Build out a set of API services enabling customers to integrate … real-time streaming and analytics pipelines• A strong understanding of platform scalability, performance engineering, design patterns, and API service design• Familiarity with AI/ML application development on connected device data would be highly advantageous• Strong collaboration skills — this role requires working across the platform team, device team, customer success ...

Core: React, TypeScript, HTML5, CSS3 (SASS/Styled Components) Tooling: Webpack, Vite, Jest, Cypress Backend exposure: Python/FastAPI/Django (desirable) AI/ML Integration: Experience or curiosity around AI-driven applications or tools is a strong plus. About You Commercial experience building modern React applications in a product … design, state management, and testing frameworks. (Senior) Experience with system architecture, mentoring, and driving technical direction. Interest or hands-on experience integrating AI/ML features into frontend applications. Passion for creating clean, maintainable, and scalable code. Why Join Competitive salary – up to £75,000 + bonus Hybrid working model ...

leading data consultancy in Edinburgh is seeking an experienced MLOps Engineer to design, build, and operate ML infrastructures. This role involves managing the lifecycle of ML models and collaborating with dynamic project teams to deliver scalable solutions. The ideal candidate should have experience with tools like MLflow, Python, and cloud … technologies, as well as strong problem-solving skills. This position offers opportunities for career development and exposure to real-world ML systems. #J-18808-Ljbffr ...