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 ...

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/ ...

databases and user-facing applications. • Maintain reliable, scalable software architecture and integrate machinery, embedded controllers and applications. • Develop tools to collect, process and present machine and sensor data. • Maintain clear documentation, version control and sound development practices. Cloud Infrastructure & DevOps • Take hands-on ownership of cloud infrastructure, particularly AWS. … reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

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 ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and 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 demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

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 ...

other departments, helping stakeholders understand the value of data and embrace better ways of working. Exploring new technologies: Applying advanced analytical techniques, statistical modelling, machine learning and AI to solve complex business challenges and uncover new opportunities. Championing data quality and governance: Promoting data accuracy, consistency, and security … Advanced analytical, statistical, and modelling skills, with the ability to identify trends, solve complex problems and translate findings into actionable insights. Practical experience applying machine learning and artificial intelligence techniques to real‐world business challenges. A track record of delivering data‐driven solutions that support business improvement ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture. Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value. Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

life. Role Our fulfilment centres are like living, breathing cities of automation: hundreds of autonomous robots collaborating to fulfil customer orders, AI and machine-learning systems making real-time decisions, conveyor systems spanning miles, robotic arms handling packages with incredible precision, and automated storage and retrieval systems redefining … industrial automation programming Smart sensor technology and IoT integration Predictive maintenance and performance optimisation through data analytics Safety systems for human-robot collaboration Machine learning applications and wider Industry 4.0 technologies Here at Amazon, it's in our nature to learn and be curious. Within this apprenticeship ...

conversion, and retention. Cross-Functional AI & Engineering Alignment Act as the primary product partner to the CTO and engineering team for all AI and ML initiatives. Define detailed product requirements, user scenarios, and functional specifications for AI components. Ensure product discovery and validation take place before committing engineering resource. … Large Language Models (LLMs) Track record B2C digital products using data-driven discovery and measurable outcomes. Experience collaborating with engineering, data science, or ML teams to define clear product priorities. Strong commercial judgement with a focus on user engagement, conversion, and retention. Experience operating in a regulated, data-sensitive ...

tied directly to the work you win. What you will sell Engineering services. Web systems such as ERP, CRM and eCommerce, AI and machine learning including local generative AI, IoT and edge systems, and infrastructure including cloud architecture, DevOps and security. Solutions. Cogy Code, our coding agent ...

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 ...

time on the programme, you will be under the sponsorship and guidance of the Engineering Leadership team and will follow a structured and detailed learning pathway to fast track your development within your role. During the programme, you will: Complete a 3-year Graduate Development Programme which is accredited … following subject areas: Aeronautical or Aerospace Engineering Electrical and/or Electronic Engineering Information Technology Mathematics Physics Systems Engineering AI, Machine Learning and Cybernetics Computing or Computer Science All applicable technical or related degrees will be considered Benefits Competitive salary of £34,000 per annum Performance-related ...

Volkswagen Group UK is seeking a Software Engineer to design, develop, and maintain software applications. You will collaborate with developers, project managers, designers, and QA to ensure the software meets business requirements and aligns with ...

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 ...

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 ...