826 to 850 of 1,728 Machine Learning Jobs in England

highly desirable) Exposure to AI enabled transformation or digital product delivery Strong senior stakeholder management Technology Exposure (Desirable) Generative AI and Agentic AI workflows Machine Learning concepts Azure ecosystem Agile delivery (e.g., Jira) Location: London (hybrid) Rate: £600-700 per day Outside IR35 Duration: 6 month initial Start ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

communicate effectively with senior stakeholders and influence decision-making Experience working across both strategy and delivery, with a pragmatic approach Exposure to AI or machine learning use cases is beneficial Comfortable working across multiple projects and adapting to different business contexts What They Offer High-impact role with ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

iteration Designing and implementing intuitive user interfaces for complex data driven workflows Collaborating with backend engineers and data scientists to integrate APIs, analytics, and machine learning powered functionality Improving application performance, accessibility, and overall user experience Contributing across the full stack when required, including backend development ...

stakeholder satisfaction. Oversee foundational platform and data processes that support Client360. Drive continuous improvement by establishing and monitoring key performance indicators. Leverage analytics, including machine learning and AI, to derive actionable business insights. Understand internal team needs and anticipate future requirements, collaborating across business lines. Utilize platform ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments.Due to the nature of the work, candidates must alreadyhold ...

Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling ...

commercialisation, and implementation of data and AI solutions. Strong understanding of data strategy, governance, and platform architecture . Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation. Experience with use case development and data ...

reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable ...

Develop a future workforce platform using Backendless, Azure, and BaaS (Backend-as-a-Service) solutions Work on AI-powered automation, including chatbots and machine learning solutions Expand automation initiatives into other departments, such as finance, procurement, and clinical workflows Grow into leadership roles, such as Senior Digital Developer ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Qualifications Additional ...

building complex indices that drive positive change in the world.* We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.* We are backed by some of the world’s leading tech investors ...

statistical or software development component. You will have the ability to write high-quality Python code You will be able to apply statistical/machine learning techniques, and have an understanding of how they work and their limitations You will have the ability to creatively solve complex problems ...

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

statistical or software development component. You will have the ability to write high-quality Python code You will be able to apply statistical/machine learning techniques, and have an understanding of how they work and their limitations You will have the ability to creatively solve complex problems ...

industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro. Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training ...

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

Automation Development Research and evaluate emerging AI technologies and tools. Design and implement AI-driven solutions to improve business operations. Develop workflows using AI, machine learning, automation platforms, and low-code/no-code tools. Identify repetitive tasks and create automated solutions to reduce manual effort. Software & Application ...

developing Python packages with appropriate documentation and test suites. Proven track record of developing robust Continuous Integration and Continuous Development pipelines. Strong background in Machine Learning and Statistics, ideally in the Banking/Finance industry. Experience with RDBMS and other types of database management systems. The ability ...

predominantly across the Python/Anaconda suite (Scikit-learn, Pandas, Numpy) Understanding financial markets, risk (for example, Know Your Client (KYC), anomaly detection/Machine Learning, project management Excellent interpersonal skills with the ability to collaborate and partner with various teams, and to be able to explain complex ...

Master’s degree 3+ years of experience leading operational or program-focused teams Demonstrated technical judgment in designing or operating annotation systems that support machine learning training, evaluation, or model assessment Good understanding of annotation systems and quality methodologies, including calibration, agreement modeling, and drift detection Demonstrable experience ...