1 to 25 of 126 Machine Learning Jobs in the North West

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

finance - at scale and in production. This is a senior, hands-on machine learning engineering role where you’ll own production ML models end to end, working within cross-functional squads to deliver robust, well-governed solutions in a highly regulated, data-rich environment. The Opportunity … heart of a growing ML capability, designing, deploying and operating machine learning models that directly influence strategic decision-making across the business. This role blends deep technical ownership with real stakeholder impact — ideal for an experienced ML Engineer who enjoys taking models from idea to production, embedding strong ...

systems. You'll have the opportunity to: Work on cutting-edge GenAI and machine learning solutions Build and deploy LLMs and ML models across cloud and HPC environments Take ownership of technical delivery within projects Act as a go-to specialist for machine learning … mentor engineers within a collaborative team Your Responsibilities Lead technical delivery across machine learning and MLOps engagements Design, build, and deploy ML models and LLM-based solutions Develop and optimise pipelines for model training and deployment Work across cloud and high-performance computing environments Act as a subject ...

autonomous vehicles. As Principal Machine Learning Engineer, you will lead the strategic direction, risk management, and continuous improvement of production AI/ML products and services that support critical business decision-making. Working closely with Digital Services teams and senior stakeholders, you will define and deliver machine … weekly travel to collaborate with the team Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data-driven decision making across the business. Own service performance and continuous improvement, ensuring ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...