1 to 25 of 340 Machine Learning Jobs in the South East

Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production‐grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field - developing novel algorithms … part of a cross‐disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities - translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production‐grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

Senior Data Scientist who combines deep machine learning expertise with strong software engineering subject area to design, build, and deploy production-grade ML and AI systems. This role goes beyond traditional ML engineering. You will apply machine learning science as a core field developing novel algorithms … part of a cross-disciplinary team alongside data scientists, software engineers, data engineers, and domain authorities translating complex scientific and business problems into deployable ML products. Key Responsibilities Design, build, and maintain scalable, production-grade machine learning systems and pipelines using modern engineering practices (CI/CD, testing ...

Senior ML Ops Engineer London (Hybrid, 1-2 days per week) | £75,000 - £85,000 + 10% Bonus This is an opportunity to join a growing AI and data organisation that is using advanced analytics and machine learning to help public sector organisations make better, more informed decisions. … will play a pivotal role as the ML Ops specialist within the AI function, owning the infrastructure, deployment, and operational excellence of production machine learning systems. The Company They are an established data and AI business focused on developing innovative machine learning and analytics solutions that ...

organisation. This is the highest individual contributor tier within the field a role for engineers and scientists who not only build world-class ML systems but define how they are built. You will shape architectural direction, establish engineering and scientific standards, and drive the delivery of complex, high-impact ML … solutions. A core differentiator of this role is deep applied machine learning science: the ability to develop, validate, and deploy novel ML algorithms and scientific models as reliable, maintainable products bridging the gap between innovative research and enterprise-scale deployment. You will influence multiple teams, mentor senior engineers ...

Product teams, and creatives to build intelligent systems that transform live sports data into immersive digital experiences. One day you might be shaping scalable ML pipelines for motion synthesis and trajectory prediction. The next, you could be prototyping cloud‐hosted inference services, reviewing technical approaches, or stepping into the codebase … unblock delivery. You’ll help teams apply cutting‐edge ML techniques, including Transformers, Graph Neural Networks, Diffusion models, and real‐time geometry pipelines, while ensuring solutions remain scalable, maintainable, and production‐ready. Because we believe leadership starts with technical credibility, you’ll stay hands‐on at your core. Around ...

opportunity for a Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance metrics. Create ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

ML Scientist (Metabolic Modelling) - Generative Biology Institute EIT - Ellison Institute of Technology Oxford, United Kingdom Your Role: At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI’s scientific aims, working alongside researchers and technical … multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI’s Technology Hub on ML Engineering, a fast-growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking ...

first AI-native maritime design ecosystem, offering end-to-end solutions across the vessel lifecycle, from early concept design to operational optimisation. The Machine Learning Engineer will be required to undertake the following: Translate and embed research into commercially viable solution by managing a series of work packages. … capabilities to wind-assisted propulsion and rigid sail systems, working with industry stakeholders to validate the tools against practical design requirements. The successful Machine Learning Engineer will have the following skills, experience and attributes: MSc/MEng or PhD (desirable) in Machine Learning, AI, Computational Fluid ...

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 ...

opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables advanced AI services to deliver real-world impact at scale. … cloud infrastructure that supports machine learning and AI services in production. Deploy, manage, and monitor machine learning models using Azure ML, Azure Kubernetes Service (AKS), and related Azure services. Design and develop robust orchestration pipelines for model training, deployment, inference, and retraining workflows. Implement infrastructure ...

people working on them are extraordinary. We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work … quality, and responsible AI principles. Experience with automation and analytics tooling - for example Power Platform, Power Automate, or equivalent. Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Knowledge of data science and machine learning is essential. Extensive experience is desirable. Experience working across ...

real value You’re comfortable navigating ambiguity and solving complex problems collaboratively You bring strong expertise in your craft, alongside a willingness to keep learning You communicate clearly and build trust quickly with clients and teammates You’re pragmatic, adaptable and outcome-focused You value low-ego collaboration … working as part of multidisciplinary teams What you’ll bring to the table: You have hands-on experience deploying and operating artificial intelligence and machine learning architectures in production ecosystems You are proficient in constructing high-volume batch processing systems, real-time microservices, automated continuous retraining, and system ...

join their dynamic team on a fixed-term contract basis for 12 months. This is an exceptional opportunity to leverage your expertise in machine learning and statistics to drive impactful data science solutions that enhance customer experiences and optimise business operations. Role Overview: As a Data Scientist … will be at the forefront of developing and deploying machine learning models that directly influence decision-making processes, customer service, and overall business performance. Your work will involve: Designing and implementing robust machine learning models and data pipelines. Experimenting with innovative approaches to translate complex business ...

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. Key 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 ...

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 ...

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 ...

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 ...

Working as part of our AI and engineering community, you will contribute to live projects across the machine learning lifecycle, collaborating with software, data, systems and domain specialists to turn needs into secure, maintainable solutions. Role Preparing, exploring and validating data for machine learning use cases … Developing and evaluating machine learning models and AI-enabled software components Writing clean, tested and documented code using appropriate engineering tools and practices Supporting model integration, deployment, monitoring and performance improvement Contributing to technical reviews, experiments and structured problem solving Working with experienced engineers and researchers on live ...

impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. Responsibilities Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications. Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question … experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field. Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies ...

that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level. Key Responsibilities: Design, build … Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field. 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines. Experience building predictive models and advanced analytical solutions. Strong proficiency with SQL, Python, and modern analytics platforms. Experience ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions … ground up. The Company They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international ...