101 to 125 of 1,707 Machine Learning Jobs in the UK excluding London

data products function where you'll play a key role in developing innovative, data-driven solutions. The position combines advanced analytics, product innovation, machine learning, and stakeholder engagement, offering the chance to influence both product strategy and technical delivery. The Company They are a data and analytics organisation … stakeholders to design, develop, and optimise data-driven products and analytical solutions. Responsibilities include: Identifying opportunities for new data products using advanced analytics and machine learning Developing predictive models and analytical solutions to support business objectives Building prototypes and proof-of-concepts using Databricks and modern data platforms ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full‐stack or AI/ML engineering experience, including production deployments. Demonstrated ability to build and ship production full‐stack applications and APIs, from backend services to user interfaces. Strong proficiency in Python … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead ...

augmented ways of working while embedded, building BU capability alongside delivery outcomes. Why You? Strong experience of full‐stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Hands‐on experience with GenAI patterns: agents … Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead ...

augmented ways of working while embedded, building BU capability alongside delivery outcomes. Why You! Strong Experience of full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Demonstrated ability to take ideas from sketch … Google Cloud Platform (GCP) for Machine Learning Machine Learning Algorithms Machine Learning Operations Microsoft Azure Data and AI ML Frameworks Model Evaluation Model Training Model Validation Performance Optimizations Software Development Life Cycle (SDLC) Why GSK? Uniting science, technology and talent to get ahead ...

Selection changes the language of the page/content AIML - Machine Learning Research (Speech-to-Speech Translation) - TMI Cambridge, England, United Kingdom Machine Learning and AI The Machine Translation and Multilingual Intelligence team is looking for outstanding engineers and scientists to build the next generation … talk naturally with anyone, in any language, in real time. Description You will take part in the next revolution at the confluence of machine translation, speech technology and human-computer interaction. We are building end-to-end speech-to-speech translation: models that listen, translate and speak ...

team. This is a hands-on role sitting at the intersection of modern machine learning and quantum computing — with two complementary directions. ML for quantum — using neural networks and learning-based methods to accelerate quantum computation (e.g. circuit optimisation and compilation, error mitigation, calibration, variational-parameter optimisation … surrogate modelling of quantum processes). ML on/with quantum — building and adapting classical AI methods, including neural networks and large language models, so they can benefit from quantum hardware and algorithms. You don't need to be a world expert in either quantum or LLMs — but you should ...

testing insights Implement and assess algorithms in R and Python (SAS, JMP, or C#/C++, optional) Research, develop, and operationalize new statistical, machine learning and/or optimization methods Implement and improve forecasting algorithms Investigate applications of Cheminformatics modelling Investigate active learning for process optimization Scheduling … process and product development cycle using emerging AI methods (such as LLM, RAG, Agentic AI) Previous Intern Projects Include: Predictive modeling using Bayesian and machine learning methods R/Shiny tool development to enable model predictions and formulation optimization Creation of an interactive visualization tool for monitoring predictive ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software … experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems. This is an exciting time to join our team to help pioneer both our customer ...

areas of expertise, including Machine Learning, Applied AI, Generative AI, LLMs, RAG and Agentic AI. Key Responsibilities Design and develop AI/ML solutions from early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs … Python and software engineering skills. Solid understanding of core AI and Machine Learning concepts. Hands-on experience developing and delivering AI/ML solutions. Good understanding of how AI/ML models work, rather than simply using pre-built models as black-box components. Degree in Computer Science ...

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. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability ...

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. Experience in distributed training or inference of ML models across 64+ accelerators. Capable of designing, executing and reporting from ML experiments. Developed deep understanding of performance bottlenecks and how to overcome them. Ability ...

Postdoctoral Research Assistant in Learning Perceptive Contact-Rich LocoManipulation central Oxford We are seeking a full-time Postdoctoral Research Assistant to join the Machine Learning & Articulated Robots Group (ARG) of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford. The post is funded … EPSRC’s Centre to Centre (C2C) Grant, “Mobile Robotic Inspector: Learning to Explore and Manipulate in the Real World” and is fixed-term for 24 months. The project will develop leaning-based approaches to contact rich mobile manipulation (LocoManipulation) with a focus on legged robots -mainly humanoids- in challenging ...

communities in which we work and live. It is personal to all of us.” – Julie Sweet, our CEO. YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud … include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks Some experience in building and deploying AI/ML based software to a cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks ...

Senior Machine Learning Engineer Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex … natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment ...

detect financial crime, prevent fraud, and safeguard our customers. Working closely with data scientists, engineers, and senior technical colleagues, you will contribute to scalable ML pipelines, agentic AI systems, production-grade model code, and robust monitoring solutions. You will support delivery across the AI/ML lifecycle—from data exploration … models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing to the delivery of AI or ML projects and working effectively with technical and business stakeholders Some ...

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design … future years as well: – Research Fellow – Postdoc – PhD Student The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest ...

July 12, 2026 The University of Surrey is seeking an outstanding postdoctoral researcher, with a strong background in computer science, artificial intelligence, computer vision, machine learning, data science, or a closely related field, to co‐develop an application for a Marie Sklodowska‐Curie Actions (MSCA) Postdoctoral Fellowship. … concept toward a validated research tool. Design and build a minimum viable prototype for privacy‐preserving behavioural AI Develop or adapt computer vision and machine learning methods for detecting non‐identifying behavioural events Convert detected events into behavioural sequences interpretable by social scientists Develop validation protocols comparing ...

Ever”. We want to build the best we can deliver and we believe wholeheartedly in the value of exceptional diverse talent. Senior Programmer (ML Editor Engine Tools integration) Studio: Manchester Category: Engineering/Programming We are a crowdfunded company and have a dedicated and enthusiastic community of backers … want to build the best we can deliver and we believe wholeheartedly in the value of exceptional diverse talent. As part of the ML Team, our Engineers are at the technological forefront of practical application of Machine Learning in Games. From the integration of the latest in Machine ...

Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Role Preparing, exploring and validating data for machine learning use cases … Developing and evaluating machine learning models and AI-enabled software components Writing clean, tested and documented code using appropriate engineering tools and practices Supporting model integration, deployment, monitoring and performance improvement Contributing to technical reviews, experiments and structured problem solving Working with experienced engineers and researchers on live ...

both technical and non-technical audiences. Ethical AI & Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Qualifications Proficiency in Python and C#. … plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection ...

leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance. Key Responsibilities: Develop and optimise ML models for personalisation and recommendations Build scalable data pipelines and feature engineering workflows Deploy, monitor and optimise ML models in production Lead A/B testing … experimentation to improve model performance Collaborate with cross-functional teams to deliver ML solutions Evaluate and apply emerging ML and deep learning techniques Key Skills Required: Machine Learning/Deep Learning Recommendation & Personalisation Systems Data Pipelines & Feature Engineering MLOps & Production Deployment A/B Testing & Experimentation ...

Role overview We're looking for a Data Engineer who enjoys working across the whole stack: building reliable data pipelines, putting AI and machine learning into production, and writing solid software to tie it all together. This isn't a narrow, single-lane role. You'll move between … that powers machine learning models and AI features Help integrate AI technologies, such as large language models, retrieval-augmented generation (RAG) and ML services, into our products and workflows Support the deployment, monitoring and improvement of models in production Keep an eye on the fast-moving AI landscape ...

Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best … practices across complex client engagements. Key Responsibilities Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions. Build and deploy production-grade models using Python, PyTorch and modern transformer architectures. Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies. Develop ...

modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. … Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language ...