151 to 175 of 1,323 Machine Learning Jobs in the UK

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...

Salary: Up to £95,000 (depending on experience) We are seeking a Senior Machine Learning Engineer to design and deliver production-grade ML systems for a leading digital gaming and gambling platform. This is a hands-on role combining data science expertise with engineering skills - you'll build … translate prototypes into robust applications, ensuring performance, governance, and reliability. If you're passionate about applied AI, data-driven problem solving, and building ML systems that deliver measurable impact, this is the role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML ...

Principal Machine Learning Engineer – Production Systems Overview SoftInWay UK Ltd. Is seeking a highly experienced ML Systems Architect to design and implement a scalable, production-grade architecture for our machine learning solver. This role bridges research prototypes and commercial deployment, ensuring reliability, maintainability, and performance … mixed technology stack. Responsibilities Architect the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Productionize ML Workflows : Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing ...

Machine Learning Engineer Type: Permanent Salary: £60,000-£70,000 Location: York or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data … Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

Machine Learning Engineer - Research Team Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating … testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such ...

Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities Design and build production-grade ML infrastructure, including training pipelines, model … serving, and monitoring systems. Collaborate with research engineers to translate experimental models into reliable, maintainable software. Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs). Establish engineering best practices for ML development, including testing, CI/CD, and code review standards. Progression Timeline ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning. … particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments would be at the Reader level. We are a highly collaborative team, working not only with other researchers in our department, but across the university and beyond. We will offer you support ...

production environments Collaborate with cross-functional teams to translate business problems into technical solutions Stay up to date with the latest AI/ML research, tools, and best practices Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field … Strong programming skills in Python Understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, overfitting, etc.) Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn , or similar Solid foundation in data structures, algorithms, and software engineering principles Strong problem-solving skills and attention ...

enhance developer experience and product quality. • Work on innovative projects involving real-time updates, visualisation of complex data structures, and interactions with AI/ML features. Success in This Role Looks Like High-quality, scalable frontend applications delivered consistently, with clean architecture, reusable components, and strong performance across browsers … practice, where you contribute to establishing clearer patterns, tooling, documentation, and ways of working for the team. Effective collaboration with designers, backend engineers, and ML teams, helping turn complex ideas and data into intuitive, user-friendly experiences. Reduced bugs, faster delivery cycles, and improved reliability through thoughtful testing strategies, automation ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas … conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine ...

performant AI-driven features. A Day in The Life Typically Includes: Lead, mentor, and grow a team of engineers focused on AI/ML development within the Infor MES solution. Architect and deliver scalable Generative AI and Machine Learning solutions leveraging Infor OS platform services and APIs. Drive … design and integration of AI/ML models into MES workflows, ensuring seamless customer experiences and operational reliability. Collaborate closely with cross-functional teams — Product Management, Software Engineering, Cloud Infrastructure, and Security — to align AI initiatives with business goals. Evaluate emerging AI/ML technologies and frameworks to continuously innovate ...

Reader in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine learning ...

Senior Machine Learning Engineer Location Manchester, United Kingdom (Hybrid working) Why Apply? This is an opportunity to shape how enterprise machine learning is delivered at scale within a modern data environment. Working on a strategic Lakehouse platform built on Databricks, you will influence how production ML models are designed, governed and optimised, helping the business turn complex data click apply for full job details ...

Title: Senior Scientist - Cyber AI (Artificial Intelligence)/ML (Machine Learning) Research Location: Newport - Minimum of 3 days on site Full Time: 35 Hours Per Week Employment Type: Contract - 12 Months Belcan are currently working with a leading client in the aerospace/defence industry, to support them … Intelligence/Machine Learning, or Maths/Computer Science with AI modules. Recent PhD or Masters relevant to "Cyber Security of AI ML". Experience: Deep AI/ML algorithm and application knowledge (ideally Cyber aspects) Experience of research, innovation and/or solution development. Research Skills: Excellent ...

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

skilled AI Engineer to join our dynamic AI Practice. In this role, you will support the development, deployment, and maintenance of AI and ML solutions across various projects in the financial sector. The ideal candidate is passionate about leveraging AI to solve real-world problems, has practical experience with … models. Support ongoing maintenance and iterative improvement of AI models in production environments. Contribute to research initiatives, staying updated on the latest AI and ML advancements. Document project processes and present findings to stakeholders effectively. Qualifications & Skills: 3-5 years of professional experience with AI and Machine Learning ...

Lead ML Engineer: Up to 145k Xcede has just started working with one of the leading applied AI companies in the UK. If you want to make a real meaningful impact on the environment this is the job for you! This senior technical leadership role is focused on building … confidence, enabling customers to reach their objectives while aligning both engineering teams and business leaders. If you are interested in this or other Lead Ml Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

leading company is hiring a Data Scientist who has experience with Azure, Python, SQL, ML/NLP/GenAI and ML system design. 6-month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e.g. Python, Java). Thorough understanding of the underlying mathematical foundations of statistics and machine learning. Can build scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms ...

Scrum/agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding … Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead ...

complex technical concepts to both technical and non-technical audiences, including scientists, clinicians, operations teams, and business stakeholders. Deep technical fluency across data science, machine learning, and computational biology , ideally with strong experience in bioinformatics, multi-omic analysis, and clinical data. Strong programming and scripting skills (e.g. Python … navigate incomplete or noisy data, iterate rapidly, improvise tools, and take ownership of deployments end-to-end. Experience building tools and frameworks for ML/AI workloads , including data pipelines, infrastructure, modular and reusable codebases, CI/CD for ML systems, and monitoring. Prior experience deploying ML/AI systems ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable ...

predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What … technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. ...