26 to 50 of 298 Machine Learning Jobs in the South East

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 ...

seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers across small research projects and larger multi-disciplinary development programmes Providing technical expertise …/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers and providing technical guidance Supporting business development through technical bidding activities and early ...

models directly influencing commercial decisions at scale. The role is heavily focused on machine learning engineering, particularly around time-series forecasting, scalable ML systems, feature stores, and MLOps. There’s also some exposure to generative AI and LLM-related work, but this is primarily a deeply technical ML … systems at scale. The setup is hybrid with two days per week onsite in London. Experience around forecasting, time-series modelling, recommendation systems, production ML infrastructure, or large-scale MLOps environments would all be highly relevant. Salary: £100,000 - £120,000 plus equity and benefits. APPLY NOW for immediate consideration. ...

investing heavily in AI-driven innovation. With strong backing and a clear product roadmap, they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation … Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work closely with Product and Engineering to take models from experimentation through to production Build systems that enhance real-world data rather than replace it, including open-text and structured outputs Communicate complex ...

SENIOR DATA ENGINEER £90-£120K LONDON This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact. You will work on varied, high-visibility projects where your work directly influences business performance and value creation. THE COMPANY Our Client … with a clear focus on collaboration and pragmatism THE ROLE Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives. Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value. Design, build and deploy machine ...

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established … data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

Doing Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) Optimise and deploy CV/ML pipelines to cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling … Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/ML What We're Looking For Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience Proven experience delivering deep learning solutions ...

take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in ensuring their AI/ML products are robust and ready for deployment. (This role requires you to work on-site at the client company's Oxford office 2 days per week … responsibilities Deliver high-quality, well-tested features that directly impact early detection and treatment of lung cancer Collaborate with ML scientists and engineering teams to deploy models to production Research and introduce new technologies to maintain competitive edge Participate in Agile processes, including planning and standups Support and enhance cloud ...

Work closely with data scientists, software engineers, product managers, and stakeholders to define project goals and deliverables. Stay up to date with the latest ML/AI research and incorporate cutting-edge techniques and frameworks when applicable. Utilize ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, XGBoost … workflows, and experiments for reproducibility and future reference. Adhere to data privacy laws, model explainability standards, and ethical AI practices in all stages of ML development. Proud member of the Disability Confident employer scheme Jobs are provided by the Find a Job Service from the Department for Work and Pensions ...

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working … practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...

predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer … approach with 2 days a week onsite in Osterley office . What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture ...