19 of 19 Machine Learning Jobs in Cheshire

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 ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation.The successful candidate will work across the full development … security, monitoring and responsible useSkills:Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel ...

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 ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

performance optimization—caching layers, database tuning, and system-level profiling. Hands‐on experience with analytics platforms (e.g., Databricks) for large-scale data processing and ML workflows. Proficiency with containerization (Docker, Kubernetes) and infrastructure as code. Familiarity with vector databases, search systems, and advanced retrieval-optimized data structures. Must hold ...

systems integration Cloud-based application development CI/CD and modern software engineering practices Experience with technologies such as Microsoft AI Foundry, Azure Machine Learning or similar AI platforms would be particularly useful, but isn't essential. The key thing I'm looking for is someone ...

Experience with Azure DevOps and CI/CD pipeline configuration Experience with Docker Experience implementing AI solutions, such as large language model integrations or machine learning pipelines PERSONAL ATTRIBUTES Self-motivated with the ability to take initiative and manage your own workload Strong communicator, comfortable liaising with both ...

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 ...

relevant technical, data or engineering discipline; advanced degree (M.S./Ph.D.) or equivalent professional experience preferred. Proven track record leading AI/ML or data-driven initiatives from concept through to operational deployment. Experience managing or leading multidisciplinary technical teams. Strong understanding of AI governance, data governance and responsible ...

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. This step ...

renewable energy models. The Division’s goal is to help customers adapt and succeed in the rapidly changing global energy transition. Harnessing data, machine learning and artificial intelligence (AI), the Division brings over 50 years of domain expertise delivering solutions designed to improve energy, process and production efficiency ...

highly regulated or safety-critical sectors Desirable skills and experience: Knowledge of nuclear industry standards, regulations, and wider industrial context. Experience with AI and machine learning use cases in engineering or operational contexts. Familiarity with configuration management processes and standards (e.g. ISO 10007). Familiarity with Advanced Work ...

years in consulting roles focused on AI, data, or advanced analytics solutions. Proven track record leading solution architecture and pre-sales for AI/ML or data-driven engagements, including discovery, scoping, and proposal development. Experience working with enterprise clients on complex, multi-stakeholder initiatives involving AI strategy, analytics … regulated or compliance-driven environments. Hands-on exposure to at least one major cloud platform (AWS, Azure, or GCP) and its AI/ML services in production or client-facing settings. Knowledge, Skills, And Abilities Deep understanding of modern AI/ML concepts, including generative AI, large language models (LLMs ...

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 ...

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 … 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 ...