26 to 50 of 837 Machine Learning Jobs in the South East

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

help deliver enterprise AI solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to ExpectSupport the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation … modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications. Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance. Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...

join the team and help us in crafting the high calibre games our fans have come to expect.Responsibilities Explore opportunities for the application of ML techniques to optimize and improve our game engine, game creation pipelines, and ultimately enhance the player experienceMaintain and improve the current ML systems that … critical to our development pipelinesEducate all developers across the global studio in the domain and application of ML and associated technologiesGenerate, gather and build a knowledge base of research and expertise in the domain and application of MLRequirementsAt least 4 years of experience in Machine Learning EngineeringProficient ...

ML Engineer London – Hybrid, 3 days per week in office Up to £85,000 VIQU are partnering with a leading financial services organisation undergoing a significant data and technology transformation, building out its Machine Learning capability across the business. They are seeking an ML Engineer to build, deploy … operate production-grade ML solutions, working closely with Data Scientists to take models from development through to reliable production environments. This is a hands-on engineering role focused on ML pipelines, productionisation, deployment and ongoing model lifecycle management within a modern Databricks environment. Key Responsibilities of the ML Engineer: Build ...

/ML Engineer (Contract) London Fully Remote Outside IR35 £400 - £500 Per Day 3 months long initially, may extended. The Company They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their … within a consumer goods, retail, e-commerce, or FMCG environment would be advantageous. How to Apply If you are interested in this AI/ML Engineer opportunity and would like to learn more, please apply with your updated CV. ...

will play a key role in building and deploying advanced machine learning solutions that support pricing and risk decision-making. Responsibilities include: Developing predictive models focused on risk, claims outcomes, fraud detection, and other key business metrics. Creating and maintaining analytical tools that improve portfolio management and commercial … extracting value from new internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This role can be hired at different grades, eg a recent PhD graduate or someone with … advantage (eg C, C++, Julia, R, Rust, etc)Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageousAn interest in leading projectsWhat you'll get in return As well as a highly competitive salary ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. This role can be hired at different grades, eg a recent PhD graduate or someone with … advantage (eg C, C++, Julia, R, Rust, etc) Experience delivering computational tools, models, or analytical methods Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous An interest in leading projects What you'll get in return As well as a highly ...

support novel product development to have a real-world impact. This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/… Experience owning projects and delivering computational tools, models, or analytical methods from development through validation Experience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageous The ability to independently lead projects and drive scientific direction with minimal supervision What ...

looking for a talented Senior Algorithms Engineer to join an innovative engineering team developing advanced machine learning and computer vision solutions for complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer … technically challenging projects, influence future development activities, and support the growth of engineering capability through collaboration and mentoring. Key Responsibilities Develop and optimise machine learning and computer vision algorithms for real-world applications. Investigate complex technical challenges, designing experiments and approaches to identify effective solutions. Analyse datasets, model ...

join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers to bring ML models into the hands of our players by deploying them directly within EA games. Responsibilities: Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed. Partner with ML experts across EA to assess, apply, and scale models and architectures for on-device performance. Translate ML concepts, tradeoffs, risks, and technical constraints into clear language for different audiences. Build ...

work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems. Perform data analysis and data collection processes that effectively support these services. … Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating machine learning models. Education – Degree in Mathematics, Statistics, Data Science, or another quantitative ...

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 ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

Senior Machine Learning Engineer Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex … natural resource, digital, energy transition and infrastructure challenges. Job Summary We’re seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across the AI development lifecycle — from data ingestion to deployment ...

join a growing AI and data-driven organisation where your work will have a direct impact on the development and delivery of advanced machine learning solutions. You will play a key role in shaping scalable MLOps infrastructure, enabling AI products to operate reliably across a diverse client base … MLOps infrastructure that supports machine learning, NLP, knowledge representation, and AI applications. Deploying and managing machine learning models using Azure ML, Azure Kubernetes Service (AKS), and associated cloud technologies. Building and maintaining production-grade orchestration pipelines for model training, inference, monitoring, and retraining. Developing CI/ ...

July 12, 2026 The University of Surrey is seeking an outstanding postdoctoral researcher, with a strong background in computer science, artificial intelligence, computer vision, machine learning, data science, or a closely related field, to co‐develop an application for a Marie Sklodowska‐Curie Actions (MSCA) Postdoctoral Fellowship. … concept toward a validated research tool. Design and build a minimum viable prototype for privacy‐preserving behavioural AI Develop or adapt computer vision and machine learning methods for detecting non‐identifying behavioural events Convert detected events into behavioural sequences interpretable by social scientists Develop validation protocols comparing ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high-velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi-agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...