326 to 350 of 853 Machine Learning Jobs in the UK excluding London

this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

related field Management qualification or equivalent experience Project management qualification Experience Essential Significant experience of using NHS datasets for analysis and modelling Exposure to machine learning, predictive analytics or statistical modelling Experience of maintaining code using R or an alternative statistical package Experience of interpreting and analysing complex ...

understanding of software engineering principles, system design, testing, and operational best practices. Experience working with scalable distributed systems and APIs. Knowledge of AI/ML technologies and modern intelligent application patterns. Ability to work independently and take ownership of technical delivery from concept through to production. Strong problem-solving skills ...

data modelling, cleansing and dataset preparation. Experience supporting or developing Power BI dashboards and data visualisations. Familiarity with APIs, automation tools and AI/ML-driven platforms. Strong JavaScript and jQuery skills, including asynchronous handling and AJAX. Knowledge of version control tools such as Azure DevOps. Understanding of UX principles ...

compliance across all datasets Partnering with Product and commercial teams on data initiatives and client data onboarding Supporting analytics, BI and AI/ML use cases with well-structured, documented and reliable data models You 5+ years' experience in data engineering or data platform roles Strong hands-on experience with ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

Kubernetes) Desirable skills/knowledge/experience: Familiarity with data analysis libraries like Pandas, NumPy, and Scikit-learn Knowledge of data science and machine learning concepts and tools. Good to have Strategic thinking and problem-solving Collaboration and teamwork Effective communication and stakeholder management Adaptability and continuous learning ...

Description Python ML Engineer - Glasgow - Hybrid - Inside IR35 Day Rate - £460 Duration - 12 months Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Harvey Nash's FS Client have a requirement for a Python ML Engineer, you will support … team in delivering 2 major projects in the Backup Engineering team. Strong Python and Machine Learning experience is key. Required Skills: * Excellent programming skills with xkybehq Python * Strong experience with message que Please click on the apply button to read the full job description ...

someone else to interpret later. I'm particularly keen to speak to you if your background includes: Hands-on data science using Python, ML Frameworks and modern tooling Experience with optimisation, simulation, machine learning, or advanced analytics applied to real systems Clear examples of models you've personally ...

part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse using … environment Desirable Proven Experience of Oracle ODI/OAS, Power BI, dbt. Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Benefits Motability Operations is a unique organisation, virtually ...

Turning data into decisions the business can act on. Wide exposure across analytics, Machine Learning and systems application. Business-led data science with commercial impact rather than academic research. Remote role with monthly Bristol trips. Working with Python, Microsoft Fabric and SQL to shape projects and support … Science, Data Science or similar degree (2:1 or above) Ideally a minimum of 3 years of commercial experience in a data science or ML role Strong Python experience in production settings Experience with Microsoft Fabric Experience working with SQL and structured datasets Exposure to ML and LLM driven solutions ...

founders and early engineering team Overview We’re building AI-powered products that solve complex real-world problems using large language models and modern machine learning systems. As a founding engineer, you’ll help turn cutting-edge AI capabilities into scalable, reliable products used by real customers. … working with LLMs, embeddings, prompt engineering, or AI product development Bonus if you’ve worked in start-ups, developer platforms, data infrastructure, or applied ML environments Next Steps If this sounds like your kind of challenge, we’d love to hear from you. The process is designed to move quickly ...

founders and early engineering team Overview We’re building AI-powered products that solve complex real-world problems using large language models and modern machine learning systems. As a founding engineer, you’ll help turn cutting-edge AI capabilities into scalable, reliable products used by real customers. … working with LLMs, embeddings, prompt engineering, or AI product development Bonus if you’ve worked in start-ups, developer platforms, data infrastructure, or applied ML environments Next Steps If this sounds like your kind of challenge, we’d love to hear from you. The process is designed to move quickly ...

prototypes prove successful, you will support their transition into production-grade solutions in partnership with the wider engineering team. This is a fast-paced, learning-rich placement that will give you exposure to the full lifecycle of internal AI product delivery, from idea through to scaled adoption, while building … related field at a UK University, with an interest in completing a year in industry placement. A strong foundational understanding of AI technologies, machine learning concepts, and software development principles. Experience with programming languages such as Python, JavaScript or TypeScript; familiarity with modern web frameworks such as React ...

world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving … Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and Wellbeing Programme. Global Company gatherings and events. E-learning and excellent career progression opportunities. Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/ ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

solutions. Key responsibilities: Designing and building scalable data pipelines, datasets, and data models Integrating data from multiple structured and unstructured sources Developing advanced analytics, machine learning and AI solutions where appropriate Building Generative AI solutions using large language models and prompt/context engineering Ensuring data quality, reliability ...

intelligent log analysis, failure prediction, code investigation, or automated documentation generation to enhance problem-solving efficiency; basic understanding of common AI models (e.g., machine learning, natural language processing) in business applications Able to use English/Chinese as a working language for technical communication, documentation reading, and writing ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout. We are looking for a connection with the Scientific/Applied/ ...