951 to 975 of 4,923 Machine Learning Jobs in England

large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure and working alongside researchers on complex, rapidly evolving problems. Non negotiable skills: 2+ years' hands-on Machine Learning/AI experience - including ML, artificial intelligence, recommendation systems or pattern recognition. Strong Python programming skills Experience developing ML models at scale Experience running complex experiments with large AI models and datasets. Strong understanding of the scientific/research process and the ability to investigate why approaches succeed ...

Initial 6-month contract with strong likelihood of extension Overview Our client is seeking a skilled Cyber Security Specialist to join their dynamic Data & Machine Learning team. This exciting role involves supporting a variety of innovative AI initiatives within one of the UK's leading financial services organisations. … Intelligence, collaborating closely with engineering, data, and product teams to uphold security best practises and regulatory compliance. Responsibilities: Collaborate with teams developing AI and Machine Learning solutions across the organisation. Review and assess AI use cases to ensure security, compliance, and readiness for production deployment. Provide cyber security ...

Initial 6-month contract with strong likelihood of extension Overview Our client is seeking a skilled Cyber Security Specialist to join their dynamic Data & Machine Learning team. This exciting role involves supporting a variety of innovative AI initiatives within one of the UK's leading financial services organisations. … Intelligence, collaborating closely with engineering, data, and product teams to uphold security best practises and regulatory compliance. Responsibilities: Collaborate with teams developing AI and Machine Learning solutions across the organisation. Review and assess AI use cases to ensure security, compliance, and readiness for production deployment. Provide cyber security ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale ...

leading-edge technologies Foster a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands‐on experience designing, implementing, testing, and ensuring operational stability of large‐scale enterprise data platforms Advanced skills in one or more programming languages … PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems Equal Opportunity We are an equal opportunity employer and place ...

collaborating with leaders across Product and Technology. Your expertise will help us translate business needs into impactful solutions, leveraging LLMs, agentic orchestration, and ML platforms. This is your chance to make a measurable impact and advance your career in a dynamic, innovative environment. As an AI Product Manager … sets and running quantitative and qualitative iterations to achieve reliable production quality. Familiarity with cloud and data platforms, such as AWS, data management, and machine learning tooling. Advanced degree in a relevant field. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

clearly to senior leadership, engineering teams, and non‐technical stakeholders. Requirements Essential - Strong professional software engineering expertise, with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Essential - Proven track record delivering production LLM‐based systems, including RAG pipelines, agentic/tool‐use frameworks … time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Access to employee discounts scheme via Perks at Work. About the Business At LexisNexis Intellectual Property (LNIP), we believe that whenever ...

it. Loyalty – We stand by each other and our mission. Job Summary Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors … data science solutions, from data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production-ready. Engage with business ...

delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic sourcing … analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations ...

Data Engineer, you'll be at the centre of this transformation, building the data platforms, pipelines, and processes that power our AI and machine learning capabilities. You'll play a key role in turning complex, large-scale data into trusted, AI-ready assets that support intelligent automation, advanced … engineers across the team, helping to raise engineering standards and drive best practices. Responsibilities Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities. Owning the reliability, performance, and operational excellence of production data platforms. Developing ETL/ELT solutions using ...

Build strong engineering practices across software development, data platforms, testing, deployment, and operational support. Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement. Champion the adoption of AI-enabled development practices to improve quality and delivery speed. Collaborate with senior stakeholders and enterprise clients … knowledge of cloud technologies, particularly Azure and modern data platforms. Strong understanding of Python, SQL, data architecture, distributed systems, and production environments. Experience delivering machine learning, AI, or advanced analytics solutions into production. Ability to balance strategic leadership with technical involvement in complex projects. Strong stakeholder management skills ...

where integrity guides decisions, **relentless service** sets the bar, and we **thrive on big challenges** together. We invest in your growth with enterprise‐wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms … scale.**Job Description:**## Advanced Technologies Consultant### Position SummaryThe Advanced Technologies Consultant supports clients in the effective, defensible, and commercially practical use of analytics, machine learning, and generative AI across eDiscovery, document review, investigations, early case assessment, privilege review, regulatory response, and related legal data workflows.Working closely with ...

data products that enable objective decision-making with speed and confidence. Promote and champion a data-driven culture by applying advanced analytics, statistics, machine learning, AI, and emerging technologies to solve business problems, improve performance and help the organisation move from reactive reporting to proactive and predictive decision … quality, governance, accessibility and trust. Support the design and development of data pipelines, APIs, data integrations and reusable data assets that enable advanced analytics, machine learning and self-service data capabilities within the Microsoft Fabric ecosystem. Create and maintain clear, high-quality documentation for models, methodologies, datasets ...

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 ...

developing cutting‐edge AI technologies that will transform how people manage their time, tasks, and daily lives. Key Responsibilities: Lead research initiatives in machine learning, natural language processing, and AI to enhance our suite of productivity tools. Develop novel algorithms and models to improve task automation, predictive scheduling … thought leader in Application AI. Mentor junior researchers and foster a culture of innovation within the team. Qualifications: PhD in Computer Science, Machine Learning, or a related field. 5+ years of experience in AI research, with a focus on applications in productivity tools or similar domains. Strong publication ...

with vacuum chamber sub-systems, and perform self-diagnostics. Design, implement, and maintain robotics software applications for advanced automation systems. Develop software infrastructure for machine and robot data collection, storage, analytics, and monitoring. Create intelligent diagnostics, visualization, and data-driven automation capabilities. Apply machine learning … SDLC), working with revision control tools, using remote debuggers, and following software release processes, ideally in an Agile environment. Experience with robotics software development, machine automation, or industrial control systems. Experience with Python and modern software development frameworks. Familiarity with machine learning, AI, data analytics, or data ...

Delivery Leads, Engineers and Analysts to support successful product delivery* Manage technical dependencies across multiple products and squads* Identify opportunities to leverage Artificial Intelligence, Machine Learning, Generative AI and advanced analytics to improve customer outcomes, operational efficiency and business performance **What you’ll bring:** * Significant experience delivering complex … analytical product development* Strong stakeholder management, influencing and communication skills* Experience operating within Agile and product-led delivery environments* Experience evaluating and implementing AI, machine learning, advanced analytics or automation capabilities within digital and data products* Ability to identify opportunities where AI and emerging technologies can drive measurable ...

building simple, transparent ways for customers to borrow with confidence. You’ll join a highly collaborative team where Credit works closely with Product, Engineering, Machine Learning, Finance and Risk. We move quickly, test ideas, learn from data and continuously improve the experience for our customers. From … help more customers access credit responsibly. You'll use data, experimentation and commercial thinking to turn those answers into action. Machine Learning - Help develop and improve the models that power our lending decisions, using machine learning and statistical techniques to create better outcomes for our customers. ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting‐edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision‐making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

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 ...

identify trends, patterns, opportunities and issues. Use statistical and mathematical techniques to investigate business problems and support decision-making. Develop predictive models, algorithms and machine learning solutions where appropriate. Use R for statistical analysis, modelling and data science. Use Python to develop scripts, automate processes and deploy analytical … datasets. Ability to communicate analytical findings clearly to non-technical stakeholders. A practical, curious and commercially-minded approach to problem-solving. Desirable Experience with machine learning and predictive modelling. Experience with Snowflake. Experience working with ETL/data integration tools, ideally Matillion. Experience with cloud data platforms ...

forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise;knowledge … Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...