151 to 175 of 1,707 Machine Learning Jobs in the UK excluding London

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven ...

University of Manchester is advertising postdoc and research fellow positions in machine learning within the Centre for AI Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop … learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

Minimum of 4 years as a machine learning engineer or similar role, with hands-on expertise in building and deploying AI and ML solutions. Data Science Knowledge: Solid understanding of data science fundamentals, solution lifecycle, and MLOps practices. Technical Proficiency: Proficient in software development and implementation …/ML systems using cutting-edge technologies such as Python, R, Docker, Kubernetes, and tools like Azure Databricks, MLflow, and Google Vertex AI. Highly Valued Requirements Advanced Education: Master's or Ph.D. in big data, artificial intelligence, or related fields. Consulting Experience: Prior work in data & analytics consulting or similar ...

learning. Our work sits across the whole development lifecycle, from prototyping new machine learning models to building scalable and secure production ML systems, and everything in between. We've had considerable growth over the last few years and we're looking to continue with this momentum, expand … role within the community, and continue to deliver high-quality solutions to our clients. The role We're looking for an ML Research Engineer to join our team and help deliver projects for our secure government customers, with work spanning ML research through to production ML and MLOps. The ideal ...

evaluate new internal software releases, provide feedback to software engineering teams, make necessary code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research, Software … C++ software development skills Expertise in deep learning from model training to optimisation and evaluation. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability to move quickly in a dynamic environment Enjoy cross-functional work collaborating with ...

across R&D functions. You will be asked to analyse and interpret the outcome of scientific experiments with your analytical skills as well as machine learning approaches. Your work will bring forward our understanding of biological performance in crop protection and guide design, optimization and development of novel … sciences (e.g. biology, ecology, environmental sciences). Proven experience in the use of the main data-science, -analytics, modelling and visualization Python libraries, including machine learning and deep learning ones. Scientific domain knowledge in related fields such as environmental sciences or biology. Prior experience in developing machine ...

intelligence and data-driven methodologies to healthcare challenges. The successful candidate will work within a collaborative research environment, contributing to projects that leverage AI, machine learning, and data analytics to improve healthcare delivery, diagnostics, and patient outcomes. The role involves developing novel computational models, analysing complex healthcare datasets … engagement. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Demonstrated experience in AI, machine learning, or data science research Experience working with healthcare or biomedical datasets (desirable) Strong publication record or evidence of research outputs Ability ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

strong mathematical content in a subject such as mathematics, physics, engineering or computer science. Relevant experience in computer vision, image processing, artificial intelligence or machine learning through industry, research or postgraduate study. The ability to work with technical computing environments such as Python, MATLAB or Simulink. Salary … development and career progression. Your role Research, develop and evaluate image processing and computer vision algorithms for advanced defence applications. Apply artificial intelligence and machine learning techniques to complex imaging challenges. Explore methods including image segmentation, object tracking, detection, classification and computational imaging. Use mathematical modelling and algorithm ...

across UK Government and National Security is looking for a Lead Machine Learning Engineer to design, develop and deploy advanced AI/ML solutions. You'll combine hands-on engineering with technical leadership, working on complex challenges where AI has a genuine real-world impact. What … working on Designing, developing and deploying complex ML models into production Building MLOps pipelines covering CI/CD, monitoring and retraining Researching Generative AI technologies and developing proofs of concept Optimising and fine-tuning models for performance and scalability Integrating AI/ML solutions into existing secure systems Mentoring engineers ...

will also be considered. Experience in cybersecurity, anomaly detection, fraud detection or behavioural analytics would be valuable, alongside exposure to ClickHouse or numerical and ML libraries. What's on offer? Belfast office - fully flexible Pension, health insurance and flexible working hours. Early influence over a new product's technical direction. … opportunity to combine hands-on engineering with meaningful ML and cybersecurity challenges. #J-18808-Ljbffr ...

driven engineering practices, fostering a culture of continuous learning and experimentation Partner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standards Conduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance … fundamentally enhance how software is designed, built, tested, and deployed Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines Proficiency with Snowflake for data warehousing, analytics, and building scalable data platforms Experience designing and building event streaming ...

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research … passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment.If you like working with diverse data, collaborating with others, and seeing your models used in production ...

analyse customer behaviour patterns and assess business impacts, collaborating with Data and Innovation team members across different roles to deliver actionable insights AI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity Cross-Channel Analysis : Conduct … data science techniques and methodologies, for example statistical modelling, segmentation analysis, time series analysis, predictive modeling approaches, or other data modelling AI/ML platform proficiency: Experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities Effective communication and presentation skills ...

analyse customer behaviour patterns and assess business impacts, collaborating with Data and Innovation team members across different roles to deliver actionable insights AI/ML Power User: Leverage existing AI and machine learning platforms as a power user to enhance analytical capabilities and productivity Cross-Channel Analysis : Conduct … data science techniques and methodologies, for example statistical modelling, segmentation analysis, time series analysis, predictive modeling approaches, or other data modelling AI/ML platform proficiency: Experience using AI and machine learning platforms and tools as a power user to enhance analytical capabilities Effective communication and presentation skills ...

broad interest across different areas of software engineering. This role is suited for someone who enjoys solving diverse technical problems—from backend development to machine learning and performance optimization. You’ll work on real-world systems and contribute across multiple domains, rather than being confined to a single … across Crawley, Houston and Singapore.We work together to combining our expertise across regions to drive innovation and impactful results. Our team values collaboration, continuous learning, and innovation, and we take pride in supporting each other to achieve shared goals.**Key Responsibilities*** Develop and maintain backend services and APIs using ...

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research … only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms ...

skills Formal training or certification on artificial intelligence and machine learning concepts and applied experience Advanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face) Hands-on experience evaluating, fine-tuning, and deploying Large Language Models Strong grounding in experimental design, evaluation … benchmarking of ML systems Ability to bridge research and engineering: prototypes that become production-ready capabilities Awareness of inference cost, performance, and optimisation techniques Strong communication skills, including translating research into business and engineering terms Published in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR ...

right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon’s in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform … improve the hiring experience. Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models. Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability. Stay current with scientific literature ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

Senior Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s) : Cheltenham or London Type : 4 days on-site, 1 day at home Salary : £75,000 - £95,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must … sole British National We're looking for Senior Machine Learning Engineers to join a supportive, multidisciplinary team developing AI/ML systems to solve cri click apply for full job details ...

data into clear, trusted and actionable insights. Working with stakeholders across the business, the Data Scientist will design, develop and deploy BI, advanced analytics, ML models and AI driven solutions. This is a hands‐on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. … Degree in Data Science or a related numerate discipline, or equivalent experience. Evidence of continued professional development in BI, data science, advanced analytics, ML, AI. Strong understanding of statistical methods, experimental techniques, and ML principles. Advanced data science and analytical capability, with the judgement to turn complex business challenges into ...