11 of 11 Machine Learning Jobs in Suffolk

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 ...

lead a team of talented data scientists and analysts while remaining close enough to the work to guide the design and delivery of innovative machine learning and AI solutions.This is an opportunity to work on large-scale, high-impact challenges where your solutions can influence decisions across … data scientists and analysts, creating an inclusive and high-performing environment where people can thrive.Translating complex business challenges into practical data science solutions using machine learning, AI and advanced statistical techniques.Designing, building and deploying scalable data products that support strategic decision-making across Networks and BT Group.Working with ...

Fabric platform architecture and governance. Cloud data platform design and strategic architecture. AI Agents, Microsoft Copilot Studio and agentic AI solutions. Azure AI and Machine Learning technologies. Working closely with AI-focused delivery teams and AI initiatives. Coaching and mentoring junior engineers. Data platform strategy and enterprise data ...

experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power BI development ...

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 ...

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 ...

LiDAR-based localisation; Familiarity with coverage planning and path optimisation problems; Experience with simulation tools (e.g. Isaac Sim, Gazebo); Exposure to AI/ML approaches in perception or planning. What we Offer Work life balance promoted with every other Friday off; 30 days annual leave; Competitive rate of pay, reviewed ...

LiDAR-based localisation;Familiarity with coverage planning and path optimisation problems;Experience with simulation tools (e.g. Isaac Sim, Gazebo);Exposure to AI/ML approaches in perception or planning.What we OfferWork life balance promoted with every other Friday off;30 days annual leave;Competitive rate of pay, reviewed annually;Enhanced ...

performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer 3–5+ … Python for automation Solid understanding of star schemas and Kimball methodologies Experience supporting advanced Power BI models (DAX and Power Query) Exposure to ML/AI concepts (e.g. scikit-learn, TensorFlow) or an interest in preparing data for LLMs, RAG architectures or predictive models Experience with Docker and/ ...

software and data disciplines. Strong communication and collaboration skills, with the ability to work effectively as part of a team. A proactive approach to learning, continuous improvement and personal development. An interest in understanding how technology, data and security can be used together to create meaningful outcomes. A growth … solve technical problems. Familiarity with Linux, cloud platforms, databases, APIs or modern development practices. An interest in emerging technologies, data science, artificial intelligence or machine learning. Practical security experience gained through personal projects, home labs, hackathons, open-source contributions or self-directed learning. A desire to contribute to capabilities ...