751 to 775 of 3,683 Machine Learning Jobs in England

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence … understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence … understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight More ❯

Senior Data Scientist | Lead Data Scientist | Data Engineering | Machine Learning | Cloud Computing | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence … understand business problems, create a novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being the main POC for major clients … combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects and technical teams essential Experience of deep analysis gaining actionable insight More ❯

detection strategy Provide authoritative subject matter expertise on wholesale payment fraud typologies Drive the end-to-end design of the fraud detection services, encompassing data ingestion, rule engine logic, machine learning models, alert generation, case management, and integration points with existing Citi platforms and external systems. Lead and influence cross-functional teams across Technology, Operations, Product, Legal, Compliance … from you Significant experience in fraud prevention, risk management within a large financial institution. Deep understanding of wholesale payment products and associated fraud typologies. Experience working with AI/ML based monitoring systems and models, with an understanding of associated monitoring operations, oversight and model risk management activities Proven track record of leading complex, end-to-end projects in a … Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the More ❯

working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model … the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and increasing automation of category decision making. Responsibilities Apply machine learning and statistical techniques to business problems. Contribute to the research and implementation of new approaches and perform data analysis and model validation. Present results to internal stakeholders. … category management by enhancing data-led understanding of products and categories, optimizing across space and range, and increasing automation of category decisions. Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3-5 years of experience. Experience with machine learning techniques such as regularised regression, clustering or More ❯

data for analysis and modelling Learn to use data science tools (Python, Jupyter, cloud platforms) and apply them to real BBC projects Assist in running experiments and evaluations of machine learning models, guided by senior colleagues Contribute to simple visualisations and reports that help communicate findings to the wider team Stay curious about the latest developments in AI … to deliver valuable audience insights Be part of a team using data to transform the way the BBC operates Training You’ll study for your industry recognised apprenticeship qualification, learning both on and off the job. This means you’ll spend at least one day a week studying for a BSc (Hons) in Data Science with BPP University remotely … learning: Data Infrastructure & Tools Data Visualisation & Dashboards Data Engineering Data Analytics Project Management Machine Learning Artificial Intelligence & Deep Learning This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme Once completed, you’ll be supported with career development, employability training, and networking opportunities to help you take your next step- whether More ❯

Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning design, and strong employer relationships to create programmes that deliver measurable results for our customers. Purpose of the Role As Curriculum Manager for our AI programmes, you will lead … production, development, quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners … end lifecycle of Level 3 and Level 4 AI curriculum, from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure More ❯

Data, AI, Tech, Cyber Security and Digital Learning. Our mission is to empower people with skills that drive real business impact. We combine expert coaching and training, high quality learning design, and strong employer relationships to create programmes that deliver measurable results for our customers. Purpose of the Role As Curriculum Manager for our AI programmes, you will lead … production, development, quality assurance, and design of apprenticeship curricula for Level 3 and Level 4 AI programmes. You will ensure our programmes reflect the latest advancements in artificial intelligence, machine learning, data science, and related technologies. You will act as a subject matter expert, supporting sales enablement and commercial growth, and embedding innovation and measurable impact for learners … end lifecycle of Level 3 and Level 4 AI curriculum, from concept to delivery, ensuring alignment with apprenticeship standards, EPA requirements, and quality benchmarks. Integrate advanced AI specialisms, including machine learning, deep learning, natural language processing, computer vision, and data engineering, into curriculum content. Ensure curriculum covers practical skills in Python, TensorFlow, PyTorch, cloud AI platforms (Azure More ❯

Africa, and the UK. Role Overview As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also … supporting various other business functions by providing data-driven insights and predictive capabilities. You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production … business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science. More ❯

data for analysis and modelling. Learn to use data science tools (Python, Jupyter, cloud platforms) and apply them to real BBC projects. Assist in running experiments and evaluations of machine learning models, guided by senior colleagues. Contribute to simple visualisations and reports that help communicate findings to the wider team. Stay curious about the latest developments in AI … to deliver valuable audience insights. Be part of a team using data to transform the way the BBC operates. Training You’ll study for your industry-recognised apprenticeship qualification, learning both on and off-the-job. This means you’ll spend at least one day a week studying for a BSc (Hons) in Data Science with BPP University remotely … learning: Data Infrastructure & Tools. Data Visualisation & Dashboards. Data Engineering.Data Analytics. Project Management. Machine Learning. Artificial Intelligence & Deep Learning. This is a fixed-term apprenticeship - your contract lasts for the duration of the scheme. Once completed, you’ll be supported with career development, employability training, and networking opportunities to help you take your next step, whether that’s at More ❯

A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in an accessible manner. A degree or equivalent qualification in data science, mathematics, or a related field. Demonstrated ability to collaborate across departments More ❯

Team, working at the forefront of generative AI and its applications in life sciences. Our team is dedicated to building foundational expertise and developing the next generation of deep learning technologies. Roles are available for both recent graduates and senior profiles. Generative foundation models like ESM-3 1 , AlphaFold 2 , RFDiffusion 3 , ProteinMPNN 4 are revolutionising computational biology and … generation. Develop Biological Foundation Models Contribute to the creation of new models that push the boundaries of what's possible in computational biology. Collaborate Across Disciplines Work closely with Machine Learning Engineers, Research Engineers, Computational Biologists, and other experts. Leverage Cutting-Edge Resources Utilise our near-exascale supercomputing cluster, Kyber 9 , to conduct large-scale training and evaluation … of generative models. Publish and Present Research Share your findings at top-tier conferences and in leading journals. Responsibilities Innovate in Deep Learning Research Develop and implement novel research on multimodal generative foundation models and their biological applications. Contribute to Team Success Collaborate with team members to achieve research goals and contribute to a supportive, knowledge-sharing environment. Engage More ❯

Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of … complex applications and components while working alongside highly experienced and like minded colleagues challenging and rewriting the rules, not just following them. Responsibilities: Develop and deploy machine learning models using advanced algorithms to solve real world business problems. Work with large scale datasets to extract insights and drive decision making. Collaborate with cross functional teams and external stakeholders … technical concepts clearly to non technical audiences. What we expect from you: Proficiency in Python and PySpark. Proven understanding of statistical modelling and data confidence. Hands on experience with machine learning techniques such as classification and regression. Solid foundation in data engineering and reporting. Proven ability to manage and analyse large datasets in accordance with big data best More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯

execute the AI strategy, prioritizing use cases aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or … AI trends and recommend enhancements for competitive advantage. To excel, you must have proven expertise as an AI Engineer, with a track record of leading initiatives and deploying effective machine learning solutions. Proficiency in Python and libraries, plus tools like Pandas, NumPy, and SQL, is essential. Experience defining value-driven AI strategies and guiding teams on best practices More ❯