1,026 to 1,050 of 2,287 Machine Learning Jobs in the UK excluding London

data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter More ❯

data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

adaptable, and comfortable in a smaller, fast-moving team environment Excellent communication skills and ability to take ownership of projects Experience delivering actionable insights rather than exploratory or purely machine learning work Interview Process: Remote competency interview and CV review Face-to-face interview with testing component (details to be confirmed) Find out more and apply via the More ❯

years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics/Software Start: ASAP More ❯

years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics/Software Start: ASAP More ❯

BI, Superset, or Tableau. Experience with AWS data tools and governance. Python or Airflow experience for automation. Knowledge of data warehouse best practices (Snowflake, BigQuery, Redshift). Exposure to machine learning and predictive analytics. This is a great opportunity to join a fast growing, stable D2C brand that values flexibility for all their staff and a chance to More ❯

Apache Spark Implement ETL/ELT workflows to extract, transform and load large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms More ❯

embedded into daily operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting More ❯

embedded into daily operations and long-term planning. Develop Tools & Dashboards that provide real-time visibility into key metrics and business performance. Champion Innovation by identifying opportunities for AI, machine learning, and predictive modelling to enhance customer experience and business outcomes. What You’ll Bring Senior-level experience in analytics leadership within digital-first industries , ideally gaming, betting More ❯

demand and evaluate the impact of various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Preferably some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex More ❯

deployment 🛠️ Tech Stack Frontend : Blazor (primary framework), WinForms, WPF, or Angular, React, Vue Backend : C# .NET Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Exposure to Machine Learning and AI 🎓 What You’ll Bring A degree in Computer Science, Engineering, Maths, or Physical Sciences Solid programming experience with a focus on clean, scalable code Strong More ❯

deployment Tech Stack Frontend : Blazor (primary framework), WinForms, WPF, or Angular, React, Vue Backend : C# .NET Cloud & DevOps : Microservices, Docker, REST APIs, CI/CD, Terraform Bonus : Exposure to Machine Learning and AI What You’ll Bring A degree in Computer Science, Engineering, Maths, or Physical Sciences Solid programming experience with a focus on clean, scalable code Strong More ❯

Strong grasp of system design principles, project governance, and SDLC best practices. Proven expertise in cloud-native architecture, ideally within the Microsoft Azure ecosystem. Solid understanding of AI and machine learning solution patterns. Deep knowledge of API design, data integration, and security standards (OAuth2, SSO, encryption). Ability to create clear, well-structured architectural documentation, including diagrams and More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

translate analytical findings into practical business solutions. Senior Data Scientist Key Responsibilities Design, develop, and refine data science models focused on pricing optimisation and demand forecasting. Use statistical and machine learning techniques to support commercial and operational decision-making. Create and maintain data assets that can be understood and applied across both technical and non-technical teams. Collaborate More ❯

translate analytical findings into practical business solutions. Senior Data Scientist Key Responsibilities Design, develop, and refine data science models focused on pricing optimisation and demand forecasting. Use statistical and machine learning techniques to support commercial and operational decision-making. Create and maintain data assets that can be understood and applied across both technical and non-technical teams. Collaborate More ❯

translate analytical findings into practical business solutions. Senior Data Scientist Key Responsibilities Design, develop, and refine data science models focused on pricing optimisation and demand forecasting. Use statistical and machine learning techniques to support commercial and operational decision-making. Create and maintain data assets that can be understood and applied across both technical and non-technical teams. Collaborate More ❯

This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/ More ❯

This is a hands-on analytical role , ideal for someone who enjoys statistical problem-solving, building predictive models, and presenting clear insights that drive action - but not a pure machine learning role . Key Responsibilities Develop and maintain forecasting and pricing models Support business teams with actionable insights and data storytelling Analyse large data sets in Snowflake/ More ❯

as a technical lead and mentor to junior engineers, fostering an environment of curiosity, innovation, and excellence. You Will Have Proven experience working with generative AI, LLMs, or advanced machine learning A strong understanding of state-of-the-art AI research and its practical translation into applied systems. Excellent customer-facing communication skills , with the ability to explain More ❯