26 to 50 of 914 Machine Learning Jobs in England

Title: Junior Data Scientist/Junior Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Job Requirements: 2-4 years of experience manipulating data sets and building statistical … machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Generative AI, Computer Vision cloud technology, NLP, Deep Learning. Experience Developing Machine Learning/Data Science models, from coding to deployment Skills Hands on experience ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… knowledge-sharing and continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

tech unicorn, valued at over £1bn, and their position as a market leader in safe, real-world AI. Currently, they are looking to hire ML Engineers for their Lead position in their Retail unit. The ideal candidate will be someone who has done hands-one work as a Lead ML … Proficiency in Python Proficiency with leading cloud platforms Proficiency with Docker and Kubernetes Have mentored engineers If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

Machine Learning Engineer 6 month contract Based in Bristol Offering circa £75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these … clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data ...

fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience • Experience in technical leadership or leading ML initiatives • Strong Python … programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits ...

solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative … Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs ...

making that happen. That’s why we’re looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you’re excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you. This … Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you. You’ll also need to be a great communicator able to explain complex ...

making that happen. That’s why we’re looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you’re excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you. This … Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you. You’ll also need to be a great communicator able to explain complex ...

Machine Learning Engineer is required to join a fast growing community of like-minded Engineers at the forefront of next generation manufacturing technology. This is a fantastic opportunity for a Machine Learning Engineer to take on a role leveraging your technical and communication skills to influence … critical engineering decisions and impact the scale up of manufacturing operations. Machine Learning Engineer Skills you will use: Strong Mathematical/Statistics background Coding in Python Probabilistic modelling You will learn: To develop Machine Learning models for statistical process control To model and predict performance ...

Integration Engineer, Machine Learning, Hybrid, COR7508 Are you passionate about AI and excited by the opportunity to shape how it transforms real-world products? Join a forward-thinking team where you'll champion AI adoption and help drive measurable business impact. The Role As an AI Integration Engineer … processes, designing and implementing solutions, and ensuring AI is embedded effectively across the organization. You'll use your expertise with RAG techniques and machine learning to lead initiatives to integrate AI into existing workflows and help evolve the product offering with cutting-edge capabilities. The Company Our client ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long-term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high-performing data science teams Strong stakeholder management skills, with the ability to influence ...

moving notebooks into production”. We’re looking for a Senior Machine Learning Engineer to help design, build, and deploy mission‐critical ML systems used across defence, security, and high‐integrity public sector programmes . You’ll be working on problems where correctness, robustness, and trust matter … much as raw performance — and where your work has real‐world impact at national scale . 🔥 Why This Role Is Different Real ML engineering : production systems, not demos Work on secure, high‐integrity platforms where ML decisions matter Influence architecture , not just implementation Join a team that treats ML ...

Software Engineer (Embedded/Algorithms/Machine Learning), Southampton, £35K - £45K £35,000 to £45,000 salary guide (depending on experience) + excellent benefits + flexible working 27 days holiday (increasing with service) + well-funded, growing MedTech environment Cutting-edge medical device company developing next-generation diagnostic … systems combining hardware, software & data science Are you a Software Engineer with an interest in algorithms, data analysis, or machine learning, and how software interacts with real-world hardware systems? Do you want to work on end-to-end product development, from embedded systems through to intelligent diagnostic ...

pipelines to support feature engineering and model training across large structured and unstructured datasets, leveraging cloud‐native tooling. Production Deployment: Deploy, monitor, and maintain ML models in production environments, including cloud‐based model serving on GCP. Ensure high availability, strong performance, and continuous model relevance. Experimentation: Lead A/… offline experimentation to evaluate model performance and guide ongoing improvement. Cross‐Functional Collaboration: Work closely with engineering, product, data, and research teams to ensure ML solutions align with product and business goals. Research & Innovation: Stay informed on advances in machine learning, deep learning, and personalisation, and evaluate ...

Senior Machine Learning Engineer — Ranking & Recommendations Tech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAG Salary: £110,000 – £130,000 + options scheme Contract: Permanent, full-time Location: London, 3 days per week Sponsorship: Tier 2 sponsorship available We're looking for a Senior Machine Learning Engineer to be the first dedicated ML hire. You'll work alongside the Data Engineering team to design, build, and own the recommendations infrastructure from the ground up, while helping define the long-term ML strategy - establishing best practices for model development, experimentation, evaluation, and monitoring. ...

They are looking for talented engineers with a quantitative background and experience with statistical models. What you’ll be doing: • Building and deploying scalable ML models powering mobile apps and internal tools • Designing data architecture for efficient storage, processing, and retrieval • Developing forecasting and optimisation models for staffing and operations … Owning ETL pipelines integrating multi-source data (APIs, internal systems) • Collaborating with data scientists, engineers, and business stakeholders • Monitoring, maintaining, and improving production ML systems What they’re looking for: • Strong foundations in maths, statistics, and modelling • Experience building production-grade ML systems (e.g. forecasting, optimisation, CV) • Solid ML ...

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 ...

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 ...

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 ...