226 to 250 of 959 Machine Learning Jobs in the UK excluding London

platform engineering function as required. About You We're looking for a hands-on GCP cloud engineer with strong experience supporting AI and machine learning platforms in enterprise environments. Essential Experience Strong hands-on experience with Google Cloud Platform, including AI and Machine Learning services such … Platform. Experience with Azure AI services and the broader Microsoft ecosystem, including Azure infrastructure, Microsoft 365 and Entra ID. Practical experience supporting AI/ML infrastructure, including: Vector databases Model hosting solutions Serverless inference Containerised AI workloads Model versioning and evaluation pipelines Experience configuring and securing API gateways ...

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Key Responsibilities Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring they ...

staff. 5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda Role Requirements Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production-ready pipelines through new data ...

with our company values; ownership, collaboration, integrity, diversity & inclusion, and curiosity & adaptability to deliver productised solutions at pace Main Responsibilities Technical Application & Innovation Apply machine learning methods, knowledge-based expert systems, large language models, and cheminformatics techniques to drive innovation across Lhasa’s portfolio. Enhance automation processes … teams (e.g., software development, science, application science) to ensure alignment and knowledge-sharing. Communicate complex concepts and findings to non-expert audiences effectively. Continuous Learning & Improvement Stay updated with the latest research and advancements in AI and cheminformatics. Demonstrate evidence of self-learning and growth in new techniques. ...

will work with extensive datasets to develop models that determine odds and drive in‐play betting decisions while leveraging state‐of‐the‐art machine learning techniques to analyse and interpret complex sports data. Our fast‐paced, delivery‐focused environment offers significant opportunities for technical growth and innovation. This … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Experience with Microsoft Power Platform (Power Automate, Power Apps, Power Pages). Knowledge of Enterprise Architecture … innovation with the ability to balance technical excellence against commercial delivery. Technical Experience You'll ideally have experience across a combination of: Generative AI Machine Learning Intelligent Automation Microsoft Power Platform Azure/AWS/Google Cloud APIs & Microservices SQL & NoSQL Databases DevOps & CI/CD MLOps Enterprise ...

with marketing, creative, and technical teams to understand their data needs and deliver tailored solutio ns.Innovate with Da ta: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business grow th.Present Insigh ts: Communicate your findings to stakeholders in a clear … manner, making data relatable and actionab le.Mentor Junior Team Membe rs: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaborati on.What We’re Looking F or:Our client is seeking a talented individual with a blend of technical expertise and a flair ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

when needed. Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

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 ...

company, and kick-start your career in Data Science. This is an exciting opportunity to work on real commercial challenges, applying data, statistics and machine learning to influence business decisions, with a clear progression path to Data Scientist. The role You'll work with stakeholders across the business … deliver actionable insights. • Apply statistical techniques to optimise revenue and business performance. • Query and analyse large datasets using SQL. • Build analytical models and support machine learning initiatives. • Develop self-service analytics tools and support experimentation. About you You'll have: • Ideally a Master's degree in Data Science ...

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 ...

Design, build and maintain scalable data pipelines and data platforms Develop analytics and AI-enabled solutions that support business decision-making Create and implement machine learning and generative AI solutions Integrate data from multiple sources while ensuring data quality and reliability Work closely with analysts, product teams … similar Strong programming skills in Python and SQL Experience building data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern ...

Vector Databases and MLOps. Support clients in navigating cloud, security, data governance and operating model considerations required for enterprise AI adoption. Communicate complex machine learning and AI concepts in a way that resonates with business leaders, focusing on business impact, costs, risks and time-to-value. Contribute … Azure or GCP), including their Generative AI capabilities and the security, data and operating model considerations required for enterprise deployment. Ability to communicate sophisticated machine learning and AI concepts to senior stakeholders who are focused on commercial outcomes, risk management, investment decisions and business value. What ...

defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. … radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular ...

analysis. Commercially minded with the ability to balance rigour and pace. Comfortable working through ambiguity and solving open-ended business problems. Interest in AI, machine learning and emerging technologies. Ability to communicate complex findings clearly to both technical and non-technical audiences. Experience with product analytics, opportunity sizing … following areas: Analytics-focused professionals with expertise in experimentation, product analytics and opportunity identification. Data Science-focused professionals with experience in recommendation systems, machine learning, customer modelling and AI products. What They Offer Significant investment in Data & AI capabilities. Opportunity to help shape a growing team expanding from ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

based data platforms Develop modern data lake, warehousing, and analytics solutions Define technical architecture, standards, and cloud strategy Support the adoption of AI, Machine Learning, and Generative AI technologies Deliver solutions across both real-time and batch data environments Ensure data governance, security, and compliance requirements … data solutions on AWS Experience with Databricks, Redshift, Snowflake, or related technologies Understanding of modern data engineering and analytics frameworks Exposure to AI and Machine Learning technologies Strong knowledge of data governance and security best practices Experience delivering large-scale cloud transformation projects Excellent stakeholder management and communication ...

ownership rather than being one of many data scientists in a large, siloed team. What You'll Be Doing Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour Writing efficient, well-tested SQL and Python to explore, clean … similar) to validate impact Requirements: Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data i.e. sales, loyalty ...

driven Data Scientists, enabling them to develop while continuing to drive high impact work across the organisation. Build advanced analytics and AI solutions using machine learning, statistical modelling, forecasting, and simulation techniques to solve complex, real world challenges. Maximise the use of data by bringing together information from … Must have the ability to translate complex technical concepts into clear business insights and recommendations Proven experience with varying Data Science techniques across statistics, machine learning, and GenAI coupled with strong programming skills in Python and SQL are essential. Any experience working within highly regulated environments is preferred ...