501 to 525 of 1,363 Machine Learning Jobs in the UK

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

iGaming Experience working with sportsbook, casino, or betting datasets 🐍 Strong Python (Pandas, NumPy, Scikit-learn) 🗄️ Advanced SQL and large dataset querying 📊 Statistical modelling & machine learning Player behaviour or betting analytics exposure 💬 Strong stakeholder communication skills ⭐ Desirable Skills Odds modelling or trading analytics Responsible gambling/player risk analytics ...

multiple projects in an agile environment Excellent communication skills Strong desire to learn new knowledge and skills Desirable skills: Familiarity with data science and machine learning skills Exposure to high-frequency trading and real-time data handling Experience with data system design and management Familiarity with sports betting ...

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

very broad range of tech, across several greenfield projects and R&D environments, encompassing everything from full stack to embedded development, AI and Machine Learning tools and AWS/Azure cloud services to provide bespoke, secure software solutions to Government and Defence customers. We’re looking ...

generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have ...

platforms such as Microsoft, AWS, Google or OpenAI technologies Practical exposure to Generative AI and large language model frameworks Skills in data analysis and machine learning tooling (Python, SQL, R or similar) Confidence engaging with senior stakeholders and translating technical concepts into clear business value Experience contributing ...

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave ...

Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave ...

Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels, and the ability to select appropriate models based on data characteristics ...

business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part ...

discourse analysis), corpus linguistics, writing systems, pragmatics, and phonology. * Experience applying basic Natural Language Processing techniques. * Experience working cross-functionally and collaborating with machine learning, natural language processing, or software engineers, or data scientists. * Experience contributing to research papers. * Demonstrated excessive modeling experience. * No known conflicts of interest ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

Azure DevOps, GitHub Actions) specifically tailored for analytics, data science, and trading teams. Hands-on experience deploying apps, data pipelines (Azure Data Factory, Databricks), ML model training environments, event streaming (producers/consumers), and auto-trading solutions. Azure Cloud & IaC Mastery: Deep experience architecting and managing end-to-end Azure ...

Proven experience as a Data Architect within enterprise environments. Hands-on expertise with Snowflake (architecture, modelling, security, governance). Strong understanding of AI/ML platforms, data pipelines, MLOps, and integrating AI into data architectures. Active Security Clearance (SC or DV). Proficiency with architecture frameworks and tools (TOGAF, ArchiMate ...

their platform. You'll be working with real-world, messy data and shaping it into reliable, decision-ready datasets used across product, analytics, and machine learning. Python/PySpark and SQL are central to the role. The Role: ·You'll design and maintain data pipelines, handle edge cases ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...