1 to 25 of 36 Machine Learning Jobs in Cheshire

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

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 … Docker, Kubernetes, CI/CD tools. 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 ...

engineering and platform teams onMLOpstooling andinfrastructure, andhelp respond to incidents affecting live models. What You’ll Bring Essential Strong hands-on data science and ML experience, with the ability to design end-to-end models, write production-quality code, and make independent modelling and architecture decisions. Advanced Python … learn, and XGBoost/LightGBM. Experience in at least two of the following: forecasting, segmentation, recommender systems, ranking, or behavioural modelling. Proven delivery of ML projects end to end, from problem framing and exploratory analysis to production deployment. Ability to translate business problems into well-scoped data science solutions, prioritising ...

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 ...

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 ...

30pm Reporting to our Head of Data Science Part of our Data Science team What you’ll be doing: Design, build and ship ML models that solve real business problems Work across areas including pricing, personalisation, forecasting and customer experience Turn complex business challenges into practical, commercially valuable solutions Take … engineering teams Mentor other Data Scientists and help raise the technical bar across the team What you’ll bring: Strong hands‐on Data Science & ML experience Advanced Python and SQL , with pandas, scikit-learn and XGBoost/LightGBM Experience across areas such as forecasting, segmentation, recommendations, ranking or behavioural modelling ...

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 ...

services organisation, is recruiting a Machine Learning Engineer for a hybrid role. You will contribute to a cross-functional data team, taking ML models from research to production and delivering scalable AI solutions. The role emphasizes designing end-to-end ML workflows, CI/CD, IaC, and collaboration … with Data Scientists, Data Engineers and Software Engineers to deploy robust ML systems in a cloud environment. #J-18808-Ljbffr ...

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 ...

manage work independently Amongst others, SQL-backend and Python development experience used for automation, data processing, and integration (as opposed to statistical or ML modeling): Experience with SQL Server development, including Indexes, constraints, table switching, transaction management, error handling, and activity logging Experience with SQL Server Integration Services (SSIS), including ...

City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local ...

Travel, hospitality, property technology, ecommerce or fintech. Holiday parks, multi-unit accommodation or short-term rental platforms. Fabric, Databricks, Snowflake or BigQuery. AI/ML operationalisation, experimentation frameworks or feature engineering. Why Join Forge? This is an opportunity to shape products that directly impact owner success while creating new revenue ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.Turn what works on the ground into product direction, so each engagement … edge of what’s possible in applied AI, and bring it back to the team.What you'll bring to the teamStrong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing.The instinct to own outcomes, not tasks ...

adjustments and strategic initiatives. Price Optimisation & Advanced Analytics Explore and implement price optimisation approaches using advanced analytical methods and technologies. Leverage latest analytical tools, machine learning techniques, and data science methodologies to enhance pricing decision-making. Identify opportunities to improve pricing outcomes through data-driven experimentation and optimisation. ...

delivering measurable outcomes Standout experience: Travel, hospitality, property technology, ecommerce or fintech experience Holiday parks, short-term rentals or property management platforms AI/ML operationalisation, experimentation frameworks or feature engineering Experience with Fabric, Databricks, Snowflake or BigQuery Building managed services or owner-focused commercial products 33 days holiday (+ ...

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 ...

Bank of New York Mellon Corporation in Manchester is seeking a Vice President, AI/Machine Learning Data … Engineer to lead the design and deployment of AI-driven solutions across enterprise data platforms. You will translate business problems into scalable AI/ML approaches, design data pipelines and model deployment architectures, and collaborate with cross-functional teams to integrate AI capabilities into core systems. #J-18808-Ljbffr ...

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 ...

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 ...