19 of 19 Machine Learning Jobs in Cheshire

Graduate AI Integration Engineer, Machine Learning, Hybrid, COR7509 Are you a bright, ambitious graduate eager to kickstart your career in AI and machine learning? Join a forward-thinking team where you’ll explore how AI can transform products and processes, learning from real-world projects … tangible impact. The Role As a Graduate AI Integration Engineer, you’ll support AI initiatives across the business, helping identify opportunities to apply machine learning, assist in the design and implementation of AI-driven solutions, and contribute to evolving our product with innovative AI capabilities. This is your ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You'll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting-edge capabilities. The Company Our client ...

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 ...

direction for how data, intelligence, and automation drive commercial performance. The ideal candidate will bring a blend of deep technical expertise across data science, machine learning, and modern data architecture, paired with strong commercial acumen and an ability to translate capability into meaningful outcomes. This role requires someone … ground up. As Director of Data & AI, you will have: Proven hands-on technical foundation in data science, machine learning, AI/ML, or adjacent fields, with the depth to make credible architectural decisions. Demonstrated experience leading and modernising a data function through significant change. Strong understanding ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer ...

software solutions. What Youll Do Design, develop, and maintain high-quality C# applications across our platform Work on AI-enabled solutions and integrate machine learning capabilities where relevant Ensure applications are secure by design and adhere to best practices in cybersecurity Collaborate with cross-functional teams including product … Looking For Essential: Strong experience with C#/.NET development Solid understanding of software security principles and secure coding practices Experience with AI/Machine Learning frameworks and integrating them into applications Good knowledge of databases, API design, and cloud technologies Excellent problem-solving and communication skills Desirable ...

Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models … will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector ...

Develop and optimise ETL/ELT processes to support reporting, analytics, and AI use cases Partner with data scientists and process engineers to productionise machine learning models and large language models Ensure data platforms are performant, cost-effective, and scalable across data warehouse and lakehouse environments Evaluate ...

intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications Able to use English/Chinese as a working language for technical communication, documentation reading, and writing ...

solutions, empowering them to leverage data effectively. Create clear and concise documentation for all BI solutions. Explore and implement advanced forecasting techniques, potentially leveraging machine learning and artificial intelligence. What you'll bring: At least 3 years of hands-on experience in business intelligence development. Demonstrable expertise ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities: Design and deliver scalable, secure end-to-end Microsoft Fabric solutions aligned with … Lakehouse, Warehouses and Power BI) Designing and managing enterprise-grade workloads and semantic models to enable robust analytics and reporting, utilising Fabric and Azure ML Planning and sizing Fabric initiatives, including capacity needs, effort estimates, infrastructure requirements, team resourcing, and delivery timelines. Extensive knowledge in data modelling, DAX, Python/ ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

someone with experience across: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks They are in a great position ...

including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps … experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake). Solid understanding of AI/ML solution patterns, including integration with modern data platforms. Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences. Strong consulting ...

assessing, securing, and migrating legacy systems into our scalable corporate architecture. Innovation: Stay "ahead of the curve" by identifying emerging technologies (e.g., AI/ML in drug development) that can drive efficiency and maintain our market-leading position. This is a high-impact role, leading and shaping the digital backbone ...

Knowledge of complementary modern data stack tools such as dbt for SQL-based transformations Experience integrating Large Language Models (LLMs) or operationalising AI/ML models Personal Qualities Exceptional problem-solving abilities and a persistent, detail-oriented approach to debugging complex code Strong communication skills to effectively translate business requirements … into technical architectures A proactive mindset focused on continuous learning and staying ahead of the rapidly evolving data landscape Willingness to review code submissions, enforce coding standards, and mentor junior engineers on the team Preferred Background 3–5+ years in software engineering, data engineering, or Big Data environments with ...

resolving technical issues Handling internal requests for change and bug fixes Contributing to integration projects and R&D initiatives Exploring emerging technologies, including machine learning opportunities Writing and optimizing SQL queries for reporting and system support This role is perfect for someone who enjoys variety and wants … expand their skills beyond traditional software development. The Company Our client fosters a culture of learning, collaboration, and technical excellence. They value people who are adaptable, curious, and willing to take on new challenges. You'll be part of a hybrid team based near Warrington, with three days onsite ...

centre of the technical engine that will power all future growth and joining at this stage offers: Meaningful ownership and huge learning opportunities Personal progression with a clear route to a senior leadership role Freedom to influence technology choices Exposure to fascinating operational problems across a variety of sectors … following is beneficial: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks We need someone who can build ...