1 to 25 of 84 Azure Machine Learning Jobs in England

Job Details: Principal Machine Learning Engineer Full details of the job. Job Title: Principal Machine Learning Engineer Job Description: Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning … Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights. We are currently hiring a Principal Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help … our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Artificial Intelligence and Machine Learning initiatives. This is a hybrid role – three days per week in our London office. If you share our excitement for applying More ❯

leadership team to drive innovation and support continued growth. In this role, you will design, develop, and deploy AI-driven solutions using Microsoft Azure, leveraging services such as Azure Machine Learning and Cognitive Services. You will integrate AI models into … cloud-based applications, ensuring scalability and performance. Your responsibilities will include training and fine-tuning machine learning models, automating AI workflows, optimising cloud infrastructure … and ensuring compliance with security and governance standards. The ideal candidate will have strong experience in developing and deploying AI solutions using Microsoft Azure, with expertise in Azure Machine Learning and Cognitive Services. Proficiency in programming languages such as Python More ❯

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance … understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. More ❯

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance … of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical … problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and More ❯

energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT … Digital department. This is a hybrid role based in London. As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations, and provision the necessary infrastructure in … Azure. Key Accountabilities: Lead Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand their data needs and put together data pipelines to ingest More ❯

energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT … department. This is a hybrid role that offers flexible working options and will require occasional visits to Warwick or London. As a Lead Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix … production bugs, monitor operations, and provision the necessary infrastructure in Azure. Key Accountabilities Lead Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the Data Science team. Work with data scientists to understand More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically … the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team. If all of this sounds exciting to you, we would love to talk. Note … our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. More ❯

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in developing, deploying, and optimizing ML models … and AI solutions, leveraging cutting-edge technologies like Azure Machine Learning, AutoML, and cloud-based AI tools. This role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. Develop and fine-tune models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such as transformer models, generative AI, and reinforcement learning. Expertise in natural language processing to analyze and More ❯

seeking a senior MLOps Engineer to join our team. This individual will play a crucial role in designing, deploying, and maintaining production-level machine learning models. The Senior MLOps Engineer will focus on leading MLOps initiatives, including infrastructure, automation, and ensuring models are seamlessly transitioned from … experience in collaborating with remote teams. Model Deployment & Infrastructure Build and manage scalable cloud-based infrastructure (GCP, Azure) for deploying machine learning models in production. CI/CD pipelines for ML/NLP model deployments. Experience with Kubernetes and Docker for containerization and … compliant handling of sensitive data in production environments. Pipeline Automation Build and maintain robust automated pipelines for training, validation, deployment, and retraining of machine learning models. Collaborate with data engineers and data scientists to create continuous, automated workflows for data preparation, model training, and evaluation. Implement More ❯

seeking a Senior MLOps Engineer to join our team. This individual will play a crucial role in designing, deploying, and maintaining production-level machine learning models. The Senior MLOps Engineer will focus on leading MLOps initiatives, including infrastructure, automation, and ensuring models are seamlessly transitioned from … support to Quantexa’s platform teams. Model Deployment & Infrastructure Build and manage scalable cloud-based infrastructure (GCP, Azure) for deploying machine learning models in production. Implement CI/CD pipelines for ML/NLP model deployments. Experience with Kubernetes and Docker for containerization … compliant handling of sensitive data in production environments. Pipeline Automation Build and maintain robust automated pipelines for training, validation, deployment, and retraining of machine learning models. Collaborate with data engineers and data scientists to create continuous, automated workflows for data preparation, model training, and evaluation. Implement More ❯

s vast pools of transaction level data, as well as our extensive analytic toolkit at your disposal including PowerBI and the full Microsoft Azure data suite. This role sits within the Strategy & Proposition team, a central team working across all business functions and tasked with identifying and … model to support decision making on how and where to open new centres. Lead the ongoing evolution of the models by implementing supervised machine learning techniques and automation elements. Work with the Head of Strategic Insights to translate findings of analyses into actionable recommendations for senior … such as TensorFlow or PyTorch. Big Data Tools: Proficiency in distributed computing tools like Apache Spark and Databricks. Cloud Platforms: Experience with Microsoft Azure services, including Azure Machine Learning and Azure Databricks. Data Visualization: Expertise in Power More ❯

services their customers truly value. Job Description Publicis Sapient is seeking a Manager, Data science to apply their deep expertise in analytics and machine learning to build solutions for our clients, as well as support our internal AI platforms. You will leverage your skills as a … how to apply data science to solve those problems. Solve some of today's most complex customer issues by designing, coding and implementing machine learning and AI solutions for our clients, or in support of our AI platforms. Collaborate and knowledge-share with your colleagues by … and thinking to optimise client solutions and outcomes as well as through detailed, constructive design and code reviews. Help establish rigorous standards in machine learning and statistical analysis to ensure consistency across projects and teams. Help to identify new opportunities within the data science space, and More ❯

Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools … a confident and commercial ML Engineer to lead from the front working with cutting edge technology and driving company growth. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members … their technical growth. Work closely with IT teams to advance project goals and improve deployment processes. Design and maintain cloud infrastructure to support machine learning initiatives. The Person: Proficiency in Python, including libraries such as Pandas and scikit-learn, and strong SQL skills. Deep understanding of More ❯

Direct message the job poster from Osmii We are partnering with a leading technology consultancy that is seeking a highly skilled Lead Machine Learning Engineer to join their growing team. This is an exciting opportunity to work on cutting-edge AI and ML solutions for high … If you’re passionate about solving complex problems, mentoring teams, and driving innovation, this role is for you. Role Overview As a Lead Machine Learning Engineer , you will play a key role in designing, developing, and deploying scalable machine learning models. You … MLOps, and cloud-based deployments will be crucial to the success of various client projects. Key Responsibilities Lead the design and development of machine learning models and pipelines. Oversee end-to-end ML lifecycle, from data preprocessing to model deployment and monitoring. Collaborate with cross-functional More ❯

Lead/Senior ML Engineer/Machine Learning Engineer/Lead Engineer/Data Pipelines/Data Science/Models/Azure/Python/Pandas/SQL/Software Engineering/DevOps/Developer/Manager/Remote/Home based/… higher degree in Computer Science, Data Science, and/or related quantitative degree is preferred from an accredited institution. Accountabilities will include: Leading Machine Learning projects end-to-end. Develop platform tooling (e.g., internal conda library, CLI tool for project setup, and provisioning infrastructure) for the … lifecycle Improve model monitoring frameworks Refine project operations documentation Design, provision, and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Write high-quality code that has high test coverage. Participate in code More ❯

role, you will be responsible for designing, developing, and implementing scalable data solutions on the Azure platform, leveraging AI and machine learning to drive data-driven decision-making. You will work closely with cross-functional teams, including data engineers, data scientists, and business … architectures that support our clients' strategic objectives. Key Responsibilities: Design and implement Azure-based data platforms that support AI and machine learning initiatives. Collaborate with data engineering and data science teams to ensure seamless integration of data pipelines and AI models. Develop data … data governance and management. Analyze and optimize existing data architectures and workflows to enhance performance and scalability. Identify opportunities to leverage AI and machine learning technologies to drive business value. Provide technical leadership and guidance to team members on Azure data services, AI More ❯

and storage. Experience with Copilot Studio. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning … contribute to a knowledge-sharing culture. Key Requirements Required Skills Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to … or C#. 3+ years working with production data workloads in Azure. Professional Qualifications Ideally relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Consulting Industries IT More ❯

along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science. 10+ years of strong practical experience in statistical analysis, machine learning, and/or predictive modeling (AEC Industry experience a plus). Ability to work in a highly creative environment and collaborate … of staying current with best practices and new technology solutions. Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data … and vector databases. Proficiency in SQL, Python and R (or equivalent) programming languages for data manipulation, analysis, and model development. Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines in Azure. Experience with generative AI models & development frameworks More ❯

lead Ofcom's transformation into a data- and insight-driven organization. The team provides expertise to policy and corporate colleagues in data science, machine learning, and data engineering. They also lead work to ensure Ofcom manages its data, information, and records appropriately and support the wider … community of colleagues in the Data Profession. Purpose of the Role We are looking for data talent to join the Data Science and Machine Learning team, a central team that supports all areas of Ofcom’s regulatory work, assisting and working alongside colleagues across the organization … broad range of methods to many different, real-world problems. For example, by undertaking proof of concepts to explore the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers in support of policy development, or developing new More ❯

lead Ofcom's transformation into a data- and insight-driven organization. The team provides expertise to policy and corporate colleagues in data science, machine learning, and data engineering. They also lead work to ensure Ofcom manages its data, information, and records appropriately and support the wider … community of colleagues in the Data Profession. Purpose of the Role We are looking for data talent to join the Data Science and Machine Learning team, a central team that supports all areas of Ofcom’s regulatory work, assisting and working alongside colleagues across the organisation … broad range of methods to many different, real-world problems. For example, by undertaking proof of concepts to explore the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers in support of policy development, or developing new More ❯

lead Ofcom's transformation into a data- and insight-driven organization. The team provides expertise to policy and corporate colleagues in data science, machine learning, and data engineering. They also lead work to ensure Ofcom manages its data, information, and records appropriately and support the wider … community of colleagues in the Data Profession. Purpose of the Role We are looking for data talent to join the Data Science and Machine Learning team, a central team that supports all areas of Ofcom's regulatory work, assisting and working alongside colleagues across the organization … broad range of methods to many different, real-world problems. For example, by undertaking proof of concepts to explore the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers in support of policy development, or developing new More ❯

Job Title: AI Engineer (Machine Learning & Computer Vision) Location: Leeds (3 Days a Week) Salary: £60,000 - £80,000 + Benefits About Us: The Client, based in Leeds,have just received their Series A funding, is at the forefront of AI innovation, building cutting-edge solutions … that harness the power of artificial intelligence, machine learning, and computer vision. Our team is dedicated to solving complex problems and delivering intelligent systems that drive real-world impact. We are seeking a skilled AI Engineer to help us push the boundaries of what's possible. … Responsibilities: Design, develop, and deploy machine learning models, with a strong focus on computer vision applications. Implement deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras. Develop and optimize image processing and vision-based AI algorithms for object detection, segmentation, and classification. More ❯

seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience … proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven … Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM More ❯

seeking a highly skilled AI Engineer to design, develop, and enhance AI-driven document generation systems using large language models (LLMs) and traditional machine learning algorithms . The ideal candidate will have expertise in AI, natural language processing (NLP), and Python programming , with hands-on experience … proficiency in Streamlit , knowledge of Neo4j, RDF, or OWL , and experience working with Azure cloud services . Key Responsibilities AI & Machine Learning Development: Design, implement, and optimize AI-powered document generation systems using LLMs and ML models. NLP & Data Processing: Develop NLP-driven … Practices: Work closely with cross-functional teams to integrate AI solutions into business workflows. Required Qualifications & Skills Strong experience in AI, NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM More ❯

solutions ? We are seeking a Head of Data Platform Design to lead the architecture and development of an enterprise-scale data platform on Azure and Databricks . In this role, you will define the data platform strategy, lead a team of solution architects, and drive best practices … metadata management and discovery Data governance frameworks for policy enforcement, compliance, and lineage tracking Data quality solutions to enhance accuracy, consistency, and reliability Machine Learning (ML) architecture and AI workloads to support advanced analytics and AI-driven decision-making. Set the direction for hub-and-spoke … cloud-native data platform design . Extensive experience with data integration, MDM, data governance, and data quality tools . Experience designing and integrating Machine Learning (ML) architectures on Azure , including: MLOps and model lifecycle management in Azure ML and Databricks More ❯