101 to 125 of 701 Machine Learning Jobs in the UK excluding London

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

recruit a researcher to join our rapidly expanding Data and Decision Support Capability. You should have a background in Machine Learning (ML) and/or statistical signal processing combined with programming skills in Python and experience in the use of libraries and toolboxes to support efficient development. … right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers ...

ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation … Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including ...

Machine Learning Engineer - Defence ££60,000 - £90,000 GBP Hybrid WORKING Location: Manchester Bristol London Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

looking for a Machine Learning Ops Engineer to help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

business outcomes. How You’ll Make an Impact: Develop and refine AI prototypes and interfaces, with mentorship from senior team members Explore and apply machine learning algorithms and data analytics in real-world scenarios Code, test, and debug AI prototypes to ensure robust and efficient performance Engage with … business workflows Exceptional communication skills with both technical and non-technical audiences A proactive approach to learning and professional development within AI/ML Ability to work effectively both independently and in a collaborative team environment Why Choose Fitch: Hybrid Work Environment: Hybrid work model: 3 days per week ...

development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring … analysts, and other big data specialists across the organisation. Key Tasks & responsibilities · Write clean, elegant and maintainable code with Data engineering and AI/ML best practices· Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics· Find ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

growing, well-supported data team that is investing heavily in modernisation and advanced analytics. You will be part of a collaborative engineering environment where learning, progression, and exposure to cutting-edge technologies are central to the role. The Company They are a well-established UK-based organisation with … Supporting CI/CD processes and applying DevOps best practices Contributing to code deployment, testing, and release processes Collaborating with engineers, QA specialists, and machine learning teams Working across multiple squads to deliver high-quality data solutions Supporting the ongoing development of the Databricks platform Gaining exposure ...

team and the wider organisation. Working closely with fellow analysts, you'll build, enhance and maintain robust models using the most appropriate statistical and machine learning techniques, while continuously sharing and developing machine learning knowledge together as a team. What we are looking for: Degree … statistics or econometrics. Experience building one or more of logistic regression, generalised linear models, or categorical data analysis. Experience with one or more machine learning methods (e.g., random forest, k-means clustering). Hands on experience of numerical programming (using, e.g., Python, R). Solid critical thinking skills ...

apply to be considered. Full-Time The Role: We seek an experienced expert to contribute significantly to an R&D team, bridging machine learning engineering with applied data science. You will improve and manage Machine Learning Operations on Azure and participate in creating, assessing, and advancing … various machine learning models xkybehq and AI systems. You will collaborat Please click on the apply button to read the full job description ...

mentoring, technical leadership, stakeholder engagement, and helping define best practice across AI delivery. What You'll Need Strong experience in software engineering, AI engineering, ML, or data-focused development roles Commercial experience with Python and cloud technologies Exposure to modern AI/ML tooling and frameworks Experience building scalable applications … jobs or give us a call . All conversations will be treated in the strictest of confidence. Skills: AI Engineers AI Python software engineer ML Machine learning engineer LLM Benefits: Work From Home JBLE1 ...

quality and real-world impact are prioritised. The Company They are a scaling, data-led business with a strong focus on leveraging AI and machine learning to enhance their products and services. With a modern technology stack and a clear roadmap for growth, they are building out their … processes Your Skills and Experience Strong commercial experience building and deploying AI and machine learning solutions Advanced proficiency in Python and modern ML libraries and frameworks Experience working with cloud platforms and scalable data systems Understanding of MLOps, model lifecycle, and deployment best practices Ability to collaborate effectively ...

repeatable insights that go beyond one-off analysis and can be generalized across teams, accounts, or platforms. Conduct deep-dive analyses using statistical methods, machine learning, and modern GenAI techniques to uncover root causes, anomalies, and opportunity spaces. Leverage GenAI as a force multiplier to explore data, generate … aligning stakeholders around action. Participate in continuous improvement activities (e.g., goal deployment, Kaizen-style initiatives) to identify where data and tooling can accelerate learning and results. Quantify impact by tying insights to measurable outcomes such as efficiency gains, cost reduction, cycle time improvement, or quality uplift. Document patterns, methods ...

Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources … quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational ...

culture values curiosity, accountability and clear communication across technical and non-technical teams. The Role Lead the research, development and validation of advanced machine learning models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. … science roadmap, setting best practice and technical standards. Your Skills and Experience Strong commercial experience as a Data Scientist working on end-to-end machine learning projects. Deep understanding of Generative AI, large language models and their application to text generation or data synthesis. Advanced Python skills within ...

Doing Build strong relationships with stakeholders to identify opportunities where data science and AI can deliver value Design, develop and deploy advanced analytics, machine learning models, and data products Lead and contribute to high-impact data science projects across the organisation Translate complex analysis into clear, actionable insights … best practice in data science, governance, and ethical use of data Tech & Tools You'll typically work with: Python and advanced statistical tools Machine Learning and AI frameworks Cloud-based data platforms (e.g. Azure ecosystems) Data visualisation and reporting tools Data engineering and transformation pipelines What ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

analytical solutions that provide accurate, relevant, and actionable business insights. Apply a range of analytical techniques, from descriptive reporting through to advanced predictive and machine learning models. Coach and develop Data Analysts, enhancing both technical and professional capabilities in partnership with the Team Manager. Support the management … self-service analytics capability, promoting best practices in tools, methodologies, and data governance. Mentor team members in advanced analytics techniques, including: Predictive modelling Supervised machine learning Customer segmentation Scenario simulation and forecasting Collaborate with stakeholders across the business to identify opportunities where advanced analytics can drive business value. ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...