1 to 25 of 41 Machine Learning Jobs in Scotland

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

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 ...

more relevant, and more responsive to their needs. At the heart of this transformation is the Recommendations team. We design and build large scale ML/AI systems that help audiences discover the right content at the right moment. Our work already powers experiences across the BBC, including personalised recommendations … systems used by millions of people each day. You’ll be a hands on contributor – prototyping, experimenting, and guiding the technical approach for complex ML solutions at true BBC scale. Working in a cross-functional team, you’ll partner closely with engineers, product managers, and data scientists to deliver high ...

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 ...

Machine Learning Engineer UK Wide - Remote Working/Flexible Working £90,000-£120,000 + Benefits Our client, a UK based AI Scale Up Consultancy, is building the execution layer of an agentic decisioning powered by specialised predictive agents: → Demand forecasting → Churn modelling → Propensity scoring → Anomaly detection What … layer that challenges every decision Consumable by narrative agents translating outputs into action Fully auditable by clients What you’ll work on Production-grade ML pipelines Model governance & lifecycle management Feature engineering at scale Embedding ML into agent-based systems Core stack Python · scikit-learn · MLflow · SQL · Docker · Feature Stores ...

front-end web applications for Cairn Discover, analyse, and present findings to users and stakeholders Build, maintain, and support our wider data platform, machine learning and AI solutions using the latest best practices in DevOps and CI/CD Produce high-quality communications, documentation, and presentations of solutions ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

REST APIs You have a good working knowledge of SaaS products with Amazon Web Services (AWS) You are familiar with big data and analytics, machine learning, computer vision and AI algorithms You're a collaborative problem solver You are educated in Computer Science to BSc/MSc Experience ...

system design, application development, testing and operational stability. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g. Cloud, AI, ML, Mobile etc) Differentiators/Preferred Familiarity with modern front end technologies including React Formal training or certification on software engineering concepts and applied experience Exposure ...

/ELT pipelines using modern tooling Collaborate with developers, data owners, and UX stakeholders to translate business needs into technical solutions Support AI/ML inference pipelines and data workflows Produce clear documentation covering data flows, schemas, and integration patterns Monitor and optimise data performance, resolving issues as needed Required ...

What you’ll be doing Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines ...

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 ...

manufacturing operations. PRIMARY DUTIES & RESPONSIBILITIES. Design, implement, and maintain advanced digital manufacturing systems, including cobots, to improve production efficiency and reliability. Apply AI and machine learning methods, including image classification, to optimise quality, cycle times, and predictive maintenance. Configure, customise, and improve the Oracle Integrated Manufacturing Execution System … Master’s degree in engineering, Computer Science, related technical discipline or equivalent professional experience. Proven industrial experience in digital manufacturing, automation and AI/ML analytics in advanced production environments. Hands-on experience with MES, ERP, PLM, SQL and process control tools. Strong proficiency in programming (Python, C#) with demonstrated ...

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 ...

best practices. Work across organisational boundaries and influence without authority when needed. Keep abreast of modern engineering trends, especially in AI/ML infrastructure and cloud-native tooling. Key Requirements 6-12 years of experience in software/data engineering; ideally in platform or infra roles. Strong understanding of Generative ...

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 ...

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 ...