26 to 50 of 259 Machine Learning Jobs in the North of England

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 ...

Data & Machine Learning Engineer £40000-55000 GBP Bonus Scheme, Pension, Hybrid + Flexible Working Hybrid WORKING Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent Data & Machine Learning Engineer Newcastle Up to £55,000 S/C Clearable We're looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle click apply for full job details ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead the development and delivery … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

Month FTC, Manchester, COR7567 Are you a Senior Software Engineer with strong C++ and Python experience looking to work on cutting-edge AI and machine learning technology? The Role As a Senior Software Engineer, you'll play a key role in designing and developing software that powers advanced … biometric identification systems. Working across the full software lifecycle, you'll help build and optimise machine learning inference pipelines used in real-time systems. You'll develop production-grade applications in modern C++, contribute to automation and testing frameworks using Python, and help ensure systems are scalable, secure ...

Life assurance Health & wellbeing benefits Employee Assistance Programme Cycle to Work Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake … optimising end-to-end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working ...

combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring … documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including ...

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 ...

design will emphasise human-AI collaboration, ensuring users retain oversight, agency, and the ability to challenge or override recommendations. Methodologically, the project blends machine learning, probabilistic modelling, multi-agent systems, explainable AI, and human-computer interaction, alongside knowledge representation and graph-based reasoning techniques. A design-science research … above (or equivalent) Professional qualifications and/or relevant and appropriate experience. Desirable Criteria: A degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Statistics, Mathematics, Engineering, Information Systems, or a closely related discipline. A Master's degree in one of the above areas. Strong analytical ...

significant data transformation. With major customer-led initiatives underway, including a new loyalty programme, the organisation is increasing its focus on advanced analytics, machine learning and personalisation. The culture is collaborative, pragmatic and delivery-focused, with an emphasis on getting models into production rather than staying in experimentation … maturity Clear communication skills and the ability to build credibility with non-technical stakeholders Cloud exposure in GCP or Azure, and experience using managed ML services, would be advantageous but not essential. What They Offer The chance to shape a growing Data Science function and influence technical direction High-impact ...

strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust … from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop and implement AI and machine learning models Support the development of generative AI solutions using large language models and prompt engineering Produce clear technical documentation covering pipelines, models ...

strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust … from multiple sources, ensuring consistency, quality and reliability Optimise data processing, storage and model performance for efficiency and scalability Develop and implement AI and machine learning models Support the development of generative AI solutions using large language models and prompt engineering Produce clear technical documentation covering pipelines, models ...

responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development of a new Data Science platform and helping … Nice to have: Exposure to cloud platforms such as GCP or Azure Experience with model deployment tools such as Vertex AI or Azure ML Any background in customer analytics, forecasting or personalisation What They Offer Salary of £45,000 to £48,000 Hybrid working, with three days per week ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions. Sitting within our Group & Enterprise Services (GES) function, this … data scientists to deploy high-impact models reliably and at scale. You'll combine leadership, architectural thinking and deep engineering skills to shape the ML platform, coach engineers and deliver robust, enterprise-ready ML services. What you'll do * Lead, mentor and develop a small team of ML Engineers * Oversee ...

product-focused, and ideal for someone who enjoys taking ideas from concept to production. What You’ll Be Doing Designing and building production-grade ML and data-driven features Working closely with product and engineering to embed AI into real-world use cases Developing and maintaining data pipelines and model … services, integrations) Improving performance, scalability, and reliability of AI systems Tech & Environment Core: Python (machine learning, data science, AI workflows) AI/ML: Applied ML, data modelling, experimentation Automation/Agents: Agentic workflows, orchestration tools (e.g. n8n or similar) Data: Pipelines, transformation, structured data systems Bonus Exposure: Java ...

creativity and design. All underpinned by technology created with purpose.We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.* Learning & development – Training to support your career development and the skills demand within the company, certifications etc.## YOUR PROFILEWe’d love to meet someone with ...

client work. The culture is collaborative, stable and long term focused, with strong investment in people. The Role Design, develop and enhance AI and machine learning models to support lending and credit decisioning. Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer … models, particularly scorecards or similar predictive models. Hands on experience with AI and machine learning, such as LLMs, AI chatbots or advanced ML techniques. Evidence of applying AI to solve real business problems within lending, credit or collections. Strong programming skills in Python and SQL. Confident communicator, comfortable ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

Data & ML Engineer Newcastle (Hybrid) Build intelligent data products. Deploy real-world AI. Scale modern data platforms. A global consultancy is expanding its data capability and hiring a Data & ML Engineer to deliver high-impact solutions across enterprise clients. This is a hands-on engineering role where youll design pipelines … deploy machine learning models, and help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/ ...

design and run reliable, scalable data systems. Key responsibilities include: Designing and owning batch and streaming data ingestion pipelines on AWS Building and maintaining ML ready datasets to support model training, inference, and experimentation Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data Integrating … implementation and understand how data supports business and product outcomes Comfortable collaborating across Data, Engineering, and Product in a fast moving environment Exposure to ML or analytics use cases, including preparing data for modelling or experimentation, is highly beneficial What They Offer Clear scope for progression as the data platform ...

product and data stakeholders to translate requirements into robust technical solutions Support the ongoing development of data architecture to enable advanced analytics and future machine learning use cases Act as a senior technical voice within the team, contributing to design decisions and platform direction About … ability to work independently in a fast-paced environment Desirable: Experience building or maintaining web scraping/external data ingestion pipelines Exposure to machine learning workflows or data science environments Previous experience working in a startup or scale-up setting ...