76 to 100 of 6,361 Machine Learning Jobs in the UK excluding London

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

and objectives. Own the creation of data best practices and standards in collaboration with technical stakeholders. Maintain a good high-level knowledge of data engineering principles, data science, and machine learning concepts. Share technical knowledge of the data platform with technical and business stakeholders. Work in collaboration with technical and business stakeholders to identify and define platform business … to ensure they conform to Next enterprise architecture principles, security standards, and non-functional requirements. About You Excellent verbal communication and customer-facing skills. Takes initiative to advance own learning and professional development. Extensive experience building/designing enterprise-scale data platforms for data ingestion, data processing, data transformation, business intelligence, AI, and advanced analytics. Proven hands-on capability More ❯

support our platform’s growth. About The Team: You’ll join a small, tight-knit engineering team within our Data & AI (Collaboraite) business unit. The team comprises Software Engineers, Machine Learning Engineers, and Frontend Developers, all working together on a collaborative working platform with analytics job processing capabilities. This platform enables users to ingest, relate, analyse, and search … part of the onboarding process Flexible Working : We offer both hybrid and remote working models. Private Medical Inclusive Culture : Enjoy an inclusive culture and environment. Holiday : Generous holiday allowance. Learning : Access to continuous learning and development opportunities. Bonus Potential : Bonus potential based on performance and business-related factors. Discounts : Discounts on a wide range of products and services. More ❯

systems and support. What we do enables our students, staff, researchers, visitors, and partners to confidently and creatively use digital services, technology, and data for the benefit of their learning, teaching, research, or work. The culture of IT Services is one of innovation, collaboration, excellence, and inclusivity, and we apply the principles of customer focus and continuous improvement to … are applied. Ability to identify issues with the potential to impact on protected groups and take appropriate action. Desirable skills Experience in higher education or research environments. Knowledge of machine learning and AI driven analytics. Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate. Informal enquiries to Julian Kobylarz, email: j.kobylarz@bham.ac.uk View our More ❯

Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI.Working Knowledge: Azure WebApp, Azure Networking concepts.Conceptual Knowhow (nice to have): Azure AI Services, ML concepts, Unity Catalog, Purview. Programming: SQL, Java, C#, C++, Python, R and visualization tools (PowerBI and React) Track record in building and developing successful data teams including mentoring junior staff. … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. #TBDDT #LI-EN1 Mars is More ❯

Leadership & Management: Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure successful project delivery. Foster a collaborative and high-performance environment, encouraging continuous learning and professional development. Support the Head of Data Operations to coordinate team activities, set clear goals, and monitor progress to achieve project milestones and objectives. Cloud Data Engineering: Lead … execution, and delivery of cloud-based data solutions. Ability to mentor and guide team members, fostering a collaborative and high-performance environment. Desirable: Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics in cloud environments. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker for visualisation in cloud platforms. Automated Testing & Monitoring: Experience using ICEDQ, QuerySurge, or More ❯

Leadership & Management: Lead and manage a team of data engineers, providing guidance, mentorship, and support to ensure successful project delivery. Foster a collaborative and high-performance environment, encouraging continuous learning and professional development. Support the Head of Data Operations to coordinate team activities, set clear goals, and monitor progress to achieve project milestones and objectives. Cloud Data Engineering: Lead … planning, execution, and delivery of cloud-based data solutions. Ability to mentor and guide team members, fostering a collaborative and high-performance environment. Data Science & AI Exposure: Understanding of ML, AI, or advanced analytics in cloud environments. BI & Reporting Tools: Familiarity with Power BI, Tableau, or Looker for visualisation in cloud platforms. Automated Testing & Monitoring: Experience using ICEDQ, QuerySurge, or More ❯

in the way that suits you best. Genuine care and support for your health and wellbeing - free therapy sessions, financial education, birthday treats and much more. Incredible training and learning opportunities - you'll be surrounded by the best in the business and encouraged to keep growing. Freedom and empowerment to own problems and explore new ideas - we allow our … England, United Kingdom 1 week ago Business Analyst - Scan for Safety Wales Chester, England, United Kingdom 1 day ago Liverpool, England, United Kingdom 4 days ago Principal Data Science & ML Engineering Consultant Chester, England, United Kingdom 5 days ago Integrated Water Manager Business Analyst Warrington, England, United Kingdom 1 week ago Warrington, England, United Kingdom 1 week ago Chester, England More ❯

focus on cost optimization, stability, scalability, and performance. Collaborate with business analytics and data science teams to ensure data environments are optimized for downstream consumption, including modeling, visualization, and machine learning. Champion the use of data analytics, reporting, and business intelligence tools to support decision-making, performance tracking, and regulatory needs across corporate functions. Implement and maintain robust data … in a leadership position. Proven ability to lead and develop high-performing data teams, with a strong emphasis on professional growth, mentorship, retention, and creating a culture of continuous learning and technical excellence . Financial services experiences, ideally within wealth or asset management and associated data sets and applications. Proven experience designing and implementing cloud-native data platforms supporting More ❯

s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapter's team objectives: Implement AI … ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Work closely with or as part of product squads to … build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage More ❯

quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will be at the forefront of … developing, deploying, and validating cutting-edge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud. Reporting to the AI Director within the CTO organization, this position offers the opportunity to work … will be essential in shaping the company's mission to foster innovation, inclusivity, and progress. Job Description Essential Responsibilities: Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors. Create innovative analytics to optimize grid system performance and product differentiation. Develop AI/ML applications More ❯

criteria, monitor impact, and ensure measurable value is delivered at each stage of implementation Required Skills & Experience: Proven experience in solution architecture, with a strong focus on AI/ML or GenAI or Geo-Int implementations across complex environments Hands-on experience delivering AI/GenAI solutions in networks, telecommunications, or customer experience domains is strongly preferred Deep understanding of … Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field Certifications in cloud architecture (e.g., AWS/GCP/Azure Certified Architect), AI/ML, or TOGAF are a plus Familiarity with telco architecture, OSS/BSS systems, or geospatial analytics is an advantage Seniority level Seniority level Mid-Senior level Employment type Employment type More ❯

warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or More ❯