1 to 25 of 280 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 ...

This is a role for someone who wants to build category-defining technology rather than incremental improvements. Why This Role Stands Out Most senior ML opportunities offer scale. Few offer ownership. Here, you'll have the opportunity to: Define the machine learning architecture that powers the entire product. … visible impact, opportunities like this are rare. What You'll Own You will lead the design, development, and operation of the company's core ML systems, including: Machine Learning Infrastructure End-to-end training pipelines Evaluation and benchmarking frameworks Production inference architecture Monitoring, observability, and performance systems Deployment ...

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 ...

across the 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 products that span the journey from research and experimentation through to 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 ...

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 + 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 ...

Machine Learning Engineer - Multiple Levels Available London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. This … career progression. You Will Work With Building and deploying AI and Machine Learning solutions Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation ...

Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real-world scientific problems. You will drive the development … one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems ...

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 … ML within wider systems and applications. Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation. Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams. Communicate findings, recommendations, and model outcomes to both technical ...

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. ...

Agent Engineer/Machine Learning Engineer SC Cleared | Remote | £465/day Inside IR35 | Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power … driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that ...

This is an opportunity to join a fast-growing, product-led technology business that is investing heavily in Data, AI and Machine Learning. Working within a highly collaborative data function, you'll help build data-driven products and machine learning solutions that directly influence customer experience, product … product teams to maximise business impact. The Role • Build and develop recommendation and personalisation models • Develop AI-powered products and customer-facing features • Apply machine learning techniques to solve complex business problems • Support experimentation through modelling, statistical testing and evaluation • Conduct feature engineering and feature analysis to improve ...

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 ...

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 ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

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 ...

learning, telecom analytics, network performance analytics, or AIOps analytics. Strong Python skills for data analysis, modelling, and automation. Strong knowledge of statistics, ML basics, feature engineering, and model evaluation. Experience working with network KPIs, alarms, telemetry, inventory, topology, or service assurance data. Understanding of telecom network domains including … data can support AI agents and RAG systems. Experience with BigQuery or similar data warehouse/analytics platforms. Required Technical Skills Python. Statistics and ML basics. Network KPI modelling. RAN, Core, IP, SD-WAN, and Transport KPI understanding. Fault analysis and anomaly detection. AIOps analytics. Data aggregation and data pipelines. ...

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 ...

Role Research Engineer Salary Competitive Contract Perm Location Oxford The Role As our Research Engineer, you will sit at the boundary between frontier machine‐learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi‐objective policy optimisation and LLM post … customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. Responsibilities Apply and adapt machine‐learning and reinforcement‐learning research to OD’s product roadmap, translating research direction into shippable capability. Design, train and evaluate models using reinforcement ...

future of AI within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity … London,WokingorSouthCerney)–3daysinoffice,2workingfromhome. Requirements Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, modelselectionand ...

future of AI within a growing international organisation. Working as part of our innovative AI & Data Team, you'll design and deliver impactful machine learning, NLP and Generative AI solutions using technologies such as Databricks, Microsoft Fabric and Azure AI Services. This is an exciting opportunity … London,WokingorSouthCerney)–3daysinoffice,2workingfromhome. Requirements Strong Python and SQL skills, with experience using libraries such as pandas, NumPy, scikit-learn and relevant statistical or machine learning packages Hands-on experience with machine learning frameworks and approaches, including supervised learning, unsupervised learning, feature engineering, modelselectionand ...

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 ...