76 to 100 of 300 Machine Learning Jobs in the South East

behaviour at scale, enabling Kantar’s products to test scenarios and predict outcomes before they happen. What you’ll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

C++, with C# also in the estate. Around it sit custom electronics with their own firmware and embedded operating systems, AI and machine learning workstreams, and an emerging interest in connected and cloud enabled services. Cyber security, and the Cyber Resilience Act in particular, is a live … exposure to Python, .NET, Java or SQL welcome Experience architecting software that controls physical hardware. This is not enterprise software. The code drives a machine that does something in the real world, and it has to interact properly with electronics, sensors and mechanics Demonstrable experience operating as a software ...

collaborative team working on cutting-edge AI initiatives with clear business impact. The Role and Deliverables Design, develop, and deploy AI applications and machine learning solutions. Build and maintain scalable AI pipelines and production-ready systems. Develop solutions leveraging Large Language Models (LLMs) and generative AI technologies. Collaborate … applications. Support the development of AI engineering best practices and deployment processes. Your Skills & Experience Strong experience developing and deploying AI or machine learning applications. Advanced Python development skills. Experience working with LLMs, generative AI frameworks, and prompt engineering. Knowledge of cloud platforms such as AWS, Azure ...

cutting-edge AI-driven Transaction Monitoring solution. This is a hands-on SME role for someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition … Financial Crime, or Fraud Analytics. Demonstrable experience running backtesting exercises and measuring model performance. Strong technical capability with Python, SQL, BigQuery, and cloud-based ML environments. Ability to translate complex technical concepts into clear business language and educate stakeholders. Proven experience working across business, risk, and technology functions to deliver ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

further testing or re-testing. Interpret and curate data on plasmids and mobile genetic elements from genomic and metagenomic datasets. Collaborate with colleagues developing Machine Learning models for AMR prediction from genotype. Contribute to research to identify and investigate novel antimicrobial resistance mechanisms identified by Machine Learning ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

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 ...

responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify opportunities for optimisation … 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location: Central London Hybrid: 2 days ...

across AWS and Snowflake. Work directly with customers to understand complex data problems and define the technical approach. Support data workflows feeding AI and machine learning applications. Improve data quality, validation, observability, and platform reliability. Help establish repeatable engineering standards and delivery practices. Lead technical workstreams … data quality, validation, and reliability. Interested in taking broader technical ownership rather than staying within a narrow engineering remit. Desirable Experience: AI or machine learning data workflows. Telemetry, IoT, or time-series data. Technical or project leadership. Experience within automotive, energy, industrial technology, or another engineering-led environment. ...

while balancing technical excellence with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using … across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS Up to £75,000 salary Hybrid working ...

their coupling with the atmosphere, including links with atmospheric composition. It works closely with colleagues specialising in atmospheric composition, data assimilation, atmospheric modelling, machine learning, evaluation and operations, as well as with Member and Co-operating States and external partners, to support the delivery of world-leading Earth … related international greenhouse-gas communities, together with knowledge of WMO G3W and its objectives Desirable experience and knowledge Experience with AI or machine-learning methods for Earth-system prediction, particularly for land-surface or carbon-cycle applications Experience developing scientific robust software and conducting large numerical experiments ...

Digital Signal Processing (DSP) techniques Software DefinedRadio (SDR) and RF techniques Software Development Development ofcommunication waveforms ArtificialIntelligence (AI) and Machine learning (ML) And, you’ll havea rounded skill set including: Able to identify andsolve complex problems and ideas; considering all angles and implementationsolutionsExcellent technicalknowledge in a range ...

cross-functional teams across data engineering, analytics, data science, and AI. Establish governance frameworks, operating models, and best practices. Drive the delivery of AI, machine learning, and advanced analytics initiatives. Partner with executive stakeholders to identify and prioritise high-value use cases. Build a scalable data capability that … Skills & Experience Strong leadership experience across data, analytics, and AI functions. Demonstrated ability to deliver enterprise-wide data transformation programmes. Experience implementing AI and machine learning solutions within a commercial environment. Strong stakeholder management skills with the ability to influence at executive level. Knowledge of modern cloud data ...

Wednesday. What you'll be doing: Leading and developing a multi-disciplinary pricing and underwriting team. Enhancing pricing and risk models using GLMs, machine learning and actuarial techniques. Driving pricing strategy to meet loss ratio targets while supporting growth in policy volumes and GWP. Owning product and pricing … Proven experience in pricing, product, underwriting or actuarial roles within insurance or financial services. Strong technical capability in pricing models, risk analysis, GLMs, machine learning and data-driven decision making. Confident people manager with experience coaching and developing high-performing teams. Strong understanding of regulatory expectations, including product ...

deliver advanced pricing optimisation capabilities for the hospitality sector. You will work on innovative projects that directly influence customer decision-making, combining data science, machine learning, and commercial strategy in a fast-paced environment. The Company They are a technology business developing data-driven solutions that help organisations … implementing large-scale pricing optimisation systems. Strong programming capability in Python or R. Expertise in data analysis, manipulation, and statistical modelling techniques. Experience with machine learning frameworks, optimisation methods, and time series forecasting. Strong understanding of pricing strategy, demand modelling, and elasticity concepts. Ability to translate complex technical ...

Science should have: Proven experience leading and developing high-performing Data Science teams within a commercial environment. Strong track record of delivering data science, machine learning, and analytics solutions that generate measurable business value. Demonstrated ability to take products and projects from concept through to implementation, adoption … solving and decision-making skills, with a proven ability to remove obstacles and drive projects to successful delivery. Deep technical expertise in Data Science, machine learning, predictive analytics, and modern data technologies, combined with the ability to communicate complex concepts in a clear and practical way. Job Offer ...

expertise, our Training Transformation Services is modernising whats possible in the training and preparation of our armed forces. With a real blended approach to learning and using the latest innovative systems and technology, we ensure our service men and women really are prepared for any situation. Role & Responsibilities … cybersecurity, information assurance and interoperability considerations associated with defence and government technology environments.?Familiarity with Synthetic training environments Demonstrable understanding of AI/ML, Generative AI, agentic systems, analytics and knowledge-centric architectures (including RAG) and their application to defence training transformation. Data Analytics techniques LLM and RAG exploitation ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

organisation Work with other members of the Digital Biology Team to deliver a unified strategy Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards What We’re Looking For Strong background in bioinformatics, computational biology, or a related quantitative discipline: a postgraduate … proteomics, metabolomics): from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience: building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits ...

restricted environments. About the Team Learn 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 responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...

challenges evolve, so do we - working on the technologies that will shape tomorrow, not just today. As a Senior AI/ML/Computer Vision Engineer, you will be an experienced researcher or developer with a strong interest in state-of-the-art AI, Machine Learning, and Computer … Vision technologies. The Senior AI/ML/Computer Vision Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), delivering within and taking a leading technical role within teams of engineers in delivering a mixture of small, early-stage research projects ...

working within Agile delivery environments Desirable Experience: Cloud certifications (Azure, AWS, or GCP) TOGAF, DAMA CDMP, or Data Engineering certifications Experience with AI/ML platforms or MLOps Exposure to Data Mesh or Data Fabric architectures Enterprise Architecture experience Experience within Aerospace, Defence, Manufacturing, or other highly regulated industries ...

through data. This position collaborates with colleagues and stakeholders across the organisation to provide the tools and capability enabling Data Engineering, Reporting, Advanced Analytics, Machine Learning and Gen AI. The role requires a blend of technical expertise, business acumen, and collaboration to create platform features which promote … Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads. Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. Ensure delivery of robust ...

analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that support data-driven decision-making, advanced analytics, AI and machine learning . Key Responsibilities Design and evolve scalable, secure enterprise data architectures and platforms. Lead the development of data pipelines, integration frameworks ...