24 of 24 Machine Learning Jobs in Cheshire

Business One Team, Keep it Simple, Grow & Learn, Sustainable Impact. Why This Role Stands Out: Innovation: Work hands-on with cutting-edge AI/ML tools and techniques to deliver real business impact Leadership: Mentor and collaborate with talented engineers, data scientists, and product teams Culture: People-first, values-driven … core Impact: Shape AI-driven solutions that directly improve customer experience and business decisions About the Role: As a Senior AI/ML Engineer, you’ll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines ...

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 ...

responsible data use Work collaboratively with Technical Engineers, Product Owners, and Solution Architects Requirements A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools … e.g. Agentic AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau) Experience with cloud-based data platforms (e.g. GCP native tools) Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks. Apply product led thinking to reporting ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery - Experience building AI-powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

patterns and standards, ensuring solutions are scalable, reusable, secure, maintainable and cost-effective. Develop the platform and data architecture required to support AI and machine learning use cases, ensuring high-quality, accessible and appropriately governed data is available for AI solutions. Enable the development of reusable data products … modern software and data engineering practices including Git, CI/CD, automated testing, monitoring and deployment. Experience designing platforms that support analytics, data science, machine learning or AI applications. A strong understanding of data governance, data quality, security and data management principles. The ability to translate business requirements ...

capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability ...

diagnostic skills. Desirable: Experience working within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity … Oracle Hadoop Elasticsearch Git CI/CD Pipelines AI/LLM Platforms Agile Delivery At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each ...

Software Engineer, you'll use strong software engineering principles to design, build and deploy production-ready applications that incorporate AI, automation and machine learning capabilities. You'll be involved across the full software development lifecycle, from technical design and development through to testing, deployment and ongoing improvement. Responsibilities ...

development partners You will collaborate with the studio leaders to help define our KPIs for our vision, mission, and strategy Oversee the Studio Machine Learning Financial forecasting pipeline for all games, working with our Finance team to ensure we’re monitoring and meeting expectations. Influence product plans … world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.We adopt a holistic approach to our benefits programs, emphasizing physical, emotional ...

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 ...

data accuracy, governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

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. Step ...

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 ...

improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision and progress to senior stakeholders. Essential Skills/Experience Strong understanding of Generative AI, machine learning, scientific informatics, automation, and digital technologies Experience leading multidisciplinary teams and influencing senior stakeholders across complexorganisations Proven ability toleadorganisationaltransformation and technology adoption ...

improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision and progress to senior stakeholders. Essential Skills/Experience Strong understanding of Generative AI, machine learning, scientific informatics, automation, and digital technologiesExperience leading multidisciplinary teams and influencing senior stakeholders across complex organisationsProven ability to lead organisational transformation ...

Barclays is seeking a Senior AI Software Engineer to design, develop, and implement intelligent software solutions. You will collaborate with AI Architects, Data Engineers, and Product teams to deliver scalable, secure, production-ready AI systems ...

Forge Holiday Group in the UK is hiring a Senior AI/ML Engineer to design, build, and deploy scalable AI solutions across our multi-brand platform. You’ll lead end-to-end data pipelines and ML models powering customer interactions and business insights. You will mentor engineers, collaborate with ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

engineers, supporting their growth and performanceCollaborating with stakeholders to turn business needs into impactful data solutionsDriving development of our data platform, including AI/ML-ready architectureEstablishing best practices across data governance, quality, and securityWhat we’re looking for...EssentialProven experience as a Senior or Lead Data Engineer in complex environmentsStrong … progress your career in many directions.The development of our people has always been a priority for us. We have established a culture of continuous learning and knowledge-sharing which means our colleagues are constantly exposed to new experiences and ways of working.Everyone in Radius, from entry-level ...