1 to 25 of 30 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 ...

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 ...

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

client pitch contribution, 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 demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

will have significant influence over data architecture, engineering standards, platform development, and the future direction of data and analytics capabilities, including AI and machine learning readiness. Key Responsibilities Design, build and optimise complex data pipelines and scalable data models. Provide technical leadership across data engineering projects and initiatives. … requirements into effective data solutions. Establish and promote best practices around data governance, security, quality, and platform performance. Support the development of AI/ML‐ready data capabilities and future‐focused data architecture. Influence strategic decisions relating to data engineering, tooling, and platform direction. About You Proven experience operating ...

Supporting practice development through offering development, recruitment, campaign development, internal think-tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI. • Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice. YOUR PROFILE We are looking for a T-shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most ...

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 ...

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 ...

data sources onto a single governed platform Using version control and DevOps practices to support reliable development and deployment Exploring practical uses of AI, machine learning and automation Investigating and resolving complex BI, data and reporting issues What we're looking for Strong Power BI experience Confident ...

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 ...

data sources onto a single governed platform Using version control and DevOps practices to support reliable development and deployment Exploring practical uses of AI, machine learning and automation Investigating and resolving complex BI, data and reporting issues What we're looking for Strong Power BI experience Confident ...

problems. Desirable requirements Synthetic organic chemistry laboratory experience Experience within a process or manufacturing environment Familiarity with data science methodologies and AI/ML implementations in laboratory automation. Knowledge of GLS requirements for instrument maintenance Experience working with ALRs and HTE automated platforms Skills and capabilities Ability to challenge, innovate ...

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 ...

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 ...

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 ...

chat, conversational self-service, and fallout prevention, while shaping the model team structure for managing technology and concepts in this space, including AI/ML and advanced data analysis. To be successful in this role, you will need the following: Extensive experience in conversation design, with a strong track record ...

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 ...

problems for clients and customers. You may w ork w ith technologies including Java, C++, C#, Python, SQL, JavaScript/TypeScript, containers, DevOps, cloud, machine learning, scripting and real-time systems. To be considered for this opportunity, you must be in your penultimate year of university. You must ...

improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring, control validation and approvals into AI/ML and agent delivery workflows; build agents and orchestrations in Python with secure engineering, CI/CD and production support; measure value through cycle-time, quality … Data Science, Information Systems or a related field, or equivalent relevant experience Proven experience in Cybersecurity engineering, security operations, automation, platform engineering, AI/ML engineering or a closely related field, including meaningful hands-on work securing or operating Generative AI or Agentic AI solutions Proven ability to build production ...