501 to 525 of 1,248 Machine Learning Jobs in the UK

Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer 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 ...

Experience with IaC, CI/CD pipelines and modern DevSecOps practices • Comfortable coding/scripting/building integrations via APIs • Experience with AI/machine learning/LLM-driven workflows would be a major plus • A proactive builder mindset — someone who likes solving problems and getting things done ...

benefits package. Exposure to a modernising data environment and evolving analytics capability. Opportunities to develop skills in automation, advanced analytics and future AI and machine learning initiatives. A collaborative, supportive culture with clear scope for progression. How to Apply Apply now to find out more about this Finance ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

insights. Experience producing management information to support decision making. Demonstrated ability to work in fast paced environments, managing competing priorities. Useful/Desirable AI, Machine Learning, RPA experience PowerApp development/Sharepoint development. Experience in the UK water industry or regulated utilities. Experience with Oracle databases/data ...

environment across global teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks ...

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 ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with ...

Data analytics and statistics, Data visualisation, Machine learning and predictive modelling, Databases and big data, Software, systems, and digital technologies, Support from academic tutors and a workplace mentor, Completion of an End‐Point Assessment (EPA), including a project - See Website for more information. Role As a Data Analyst ...

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/ ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

bring their whole, authentic selves to work every day. Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. Our diverse, multi-cultural crew ...

automated decision-making in financial services — setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together ...

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 ...

about internal and external customer needs to reimagine customer interactions What you’ll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform ...

about internal and external customer needs to reimagine customer interactions What you’ll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform ...

/CD pipelines Strong Python and SQL skills Understanding of data platforms (eg Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.eg AWS SageMaker) and supporting infrastructure for model training, deployment Experience with dbt/ELT patterns (beneficial, not core focus) Strong stakeholder communication ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

iPaaS platforms Experience with REST APIs, event-driven systems and distributed architectures Understanding of data platforms, real-time vs batch processing and AI/ML integration Familiarity with GDPR, DORA and regulated environment requirements Strong stakeholder engagement and communication skills A strong opportunity for someone looking to combine architecture leadership ...

most value. What They're Looking For Science or Engineering degree from a leading university Hands-on experience applying AI/ML in financial markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

analytics into commercial impact Preferred Skills & Experience Experience building analytics functions from the ground up Knowledge of advanced analytics, data science, and AI/ML concepts Experience working with cloud data platforms (e.g., Azure, AWS, GCP) Strong storytelling and data visualisation skills Excellent communication, leadership, and change-management capabilities ...

Required Experience • 10–15+ years of experience in software engineering, data engineering, or related technical roles • 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs • Proven experience designing and implementing AI-driven solutions in enterprise environments • Strong understanding of: o LLMs ...