701 to 725 of 1,720 Machine Learning Jobs in the UK

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

sensitive patient/healthcare data? You could be progressing your career as a Data Engineer working on Tech for Good application for the healthcare sector that utilises AI and Machine Learning techniques to help prevent patients from experiencing health crisis. As a Data Engineer you will take ownership of the healthcare data pipelines and platforms, focussing on implementing More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical”. Responsibilities: Collaborate with Data Scientists and Engineers to deliver production quality AI and Machine Learning systems Build frameworks and supporting tooling for data ingestion from a complex variety of sources Consult with our clients on data strategy, modernising their data infrastructure, architecture More ❯

aspects of data governance• Centralize risk management around data and improve regulatory data compliance requirementsThe platform has been built on leading edge technologies with the focus on developing potential machine learning and data mining capabilities. Responsibilities Metadata Management Lead onboarding of data providers onto the Data Highway platform Manage the complete onboarding process (end to end) of data More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

e.g., Kubernetes). Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication and collaboration skills. Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable. Work Environment: Full time on-site presence required If you don't meet every single requirement, we still encourage you to apply. More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

Azure, GCP). Leadership in Agile environments with budget and delivery focus. Preferred: Exposure to ETL/ELT, SQL/NoSQL, data visualisation, and DevOps. Understanding of AI/ML integration and digital analytics. DONT WAIT APPLY NOW !!! Reference: DRI/AMC/DSA Postcode: SW1 4DF #dari More ❯

and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plus Typically 3-5 years' experience in a Data Engineer or equivalent role Analytical, proactive, and More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

data security, compliance, and tools like Microsoft Purview Excellent communication and stakeholder management skills Experience with containerisation and orchestration (e.g., Kubernetes, Azure Container Instances) would be desirable AI/ML integration within data platforms would be advantageous What you'll get in return You'll be part of a dynamic and inclusive team, working on cutting-edge data solutions that More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯

Integrate data from enterprise systems (e.g. Dynamics, iTrent, Unit4) into a unified data platform. Cleanse, transform, and model data to support BI tools (e.g., Power BI) and AI/ML use cases. Implement data validation, lineage tracking, and metadata tagging for observability and trust. Collaborate with stakeholders to standardise KPIs and support cross-functional reporting. Ensure secure handling of sensitive More ❯