1 to 25 of 342 Machine Learning Jobs in the South East

Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical … hypothesis testing * Machine learning & predictive analytics * Propensity modelling * Time series forecasting * Python * SQL * PySpark * Microsoft Azure Cloud * Azure Databricks * Feature engineering * Production ML deployment * Version control & automated testing * Data integration & modelling * Stakeholder management * Agile delivery experience Desirable: * MLflow * PyTorch * Databricks Asset Bundles * Graph Databases * Azure Machine Learning ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML lifecycle … using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Months long The Company They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where … advanced machine learning and AI solutions that drive measurable business outcomes. Develop, optimise, and deploy machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques ...

Senior Machine Learning Scientist London (Remote) The Company They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical … teams the opportunity to work on real-world AI challenges while delivering measurable business impact. The Role Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end. Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents ...

company to ensure the delivery of the applications is efficient Key stakeholder engagement Drive modern engineering practice Exposure to AI, Data platforms and machine learning Reduce strategic dependency Translate business needs into coherent technical strategy. Requirements: Knowledge of Cloud, APIs, CI/CD, Automation and Platform engineering Experience … security Stakeholder engagement experience Ability to govern architecture and engineering practices Government or highly regulated environment industry experience Exposure to data platforms and machine learning This is an urgent vacancy, so if you would like to be considered then please apply quoting reference AR(phone number removed). ...

+ Bonus + Equity + BenefitsThe Opportunity We're supporting an innovative biotechnology organisation that is investing heavily in the next generation of data, machine learning and scientific computing capabilities.As part of a growing technology team, you will play a key role in building the infrastructure that enables … scientists, engineers and researchers to develop, deploy and scale machine learning solutions within a highly data-driven environment.This is a hands-on position suited to an experienced engineer who enjoys solving complex technical challenges across cloud infrastructure, data platforms, workflow automation and machine learning operations. ...

+ Bonus + Car Allowance This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial performance, while … well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes. Their analytics community brings together Data Scientists, Analysts, and Data Engineers ...

evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.Engineer and implement ML-based solutions, owning the full lifecycle – from model development and deployment to monitoring and iteration.Deploy models into production environments, handling the integration and operationalisation of ML … support innovation across teams.Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.Ensure all data science and ML practices adhere to relevant ethical ...

Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms. The role involves solving complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging … solution is not immediately known, developing structured experiments and evidence-based approaches Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning development Analyse model performance, identify failure modes, and develop innovative solutions to improve real-world capability Develop tools and processes to improve automation ...

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 ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

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 ...

interested in working on real world data like no other Viridien is expanding its capabilities in agentic AI, large language models and reinforcement learning for complex scientific and enterprise workflows.We are looking for a hands-on Machine Learning Engineer to design, develop and evaluate intelligent agent systems … truly real world data.About the TeamLearn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien.Key responsibilitiesDesign and develop single-agent and multi-agent systems for complex workflows.Build reasoning, planning, task ...

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 ...

machine learning to power personalised digital advertising and customer engagement. With international operations and continued growth, they offer a collaborative environment where ML engineers own products end-to-end and influence key business decisions. The Role Define technical direction across machine learning and MLOps Build … optimise recommendation, bidding, attribution, and audience targeting models Lead model monitoring, automated retraining, experimentation, and production ML systems Improve scalability, reliability, and real-time model performance Partner with engineering and business leaders to align ML initiatives with commercial goals Mentor senior engineers and drive technical best practice Your Skills & Experience ...

working with a cutting-edge AI & Machine Learning company specialising in Robotics, Maritime and Rotorcraft. This is a team developing highly technical perception systems to convert environmental data into actionable insights with huge implications in emerging technologies. There are no passengers on this team, the mission always comes … research, publications, or technically demanding projects Experience with model training, evaluation, and optimisation, including working with real-world datasets Familiarity with building or supporting ML pipelines, from experimentation through to deployment Understanding of performance trade-offs (e.g. speed vs accuracy vs robustness) Comfortable operating in a hands-on, high-ownership ...

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 ...

London - 4x a week The Company They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business … Data & AI capabilities. The Role Lead, mentor, and develop a team of Data Scientists while defining best practices across the function Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own end-to-end model development including feature engineering, validation, deployment, and monitoring Partner ...

this position.The roleAs a Senior Data Scientist, you will work closely with strategy, operational, and technology teams to identify opportunities where advanced analytics and machine learning can unlock business value. You'll lead the design, development, deployment, and continuous improvement of analytical models that support critical decisions across … Partner with business stakeholders to identify opportunities where data science can deliver strategic and operational value. • Design, build, deploy and maintain advanced analytical and machine learning models. • Develop compelling data visualisations and insights for both technical and non-technical audiences. • Lead the implementation of robust software development lifecycle ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

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 ...