1 to 25 of 73 Remote/Hybrid Azure Machine Learning Jobs in the UK

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive … Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical ...

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business ...

Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross … functional engineering environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing ...

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data … Scientist to take ownership of live supervised machine learning models already running in production within a government environment. This is not a greenfield data science role. You'll be responsible for assessing, operating, and governing existing models that support operational decision-making. The focus ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This … genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This … genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play ...

utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role will involve working … practices.Strong communication and teamwork skills.Evidence of taking R&D theoretical concepts and applying them to business scenarios as neededDesirableExperience with/in:Microsoft Azure Data Scientist Associate (DP-100) certification or equivalent.Strong understanding of MLOps/DevOps concepts including model versioning, CI/CD, Automated retraining, lineage ...

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. Implement … distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research scientists to design, build and scale foundation models for science ...

initially Role Overview Our client is seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure … large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection … feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale ...

Role: As a Senior AI/ML Engineer, you’ll play a pivotal role in designing, building, and deploying scalable AI and machine learning solutions across Forge Holiday Group. From data pipelines to machine learning models, your work will power customer interactions … decision-making. You’ll Own: Build and maintain end-to-end AI/ML pipelines in Microsoft Fabric Design, train, deploy, and monitor machine learning and deep learning models Implement MLOps best practices: versioned data & features, CI/CD pipelines, model promotion, and rollback ...

enterprise cloud solutions. You'll be responsible for developing new features, resolving defects and contributing to high-quality software delivery within a modern Azure environment. Key Responsibilities - Develop clean, maintainable code aligned to project requirements. - Deliver features from user stories using Azure DevOps. - Investigate …/CD pipelines Desirable - Microsoft Entra ID - Azure API Management - Azure Log Analytics - Azure Machine Learning Studio - Knowledge of RBAC, monitoring, auditing and enterprise security. Experience - Proven commercial experience developing cloud-based applications using Node.js, TypeScript ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing … Career Manager to help you develop your career and guide you on your journey through BAE Don’t know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable To discuss this ...

authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying … Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field. Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous - desirable Professional accounting qualification preferred, however not a requirement - desirable Our Locations ...

Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems … Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement.Why Audit at KPMG Audit ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers.We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges!It would be great if you also had experience in some of these, but if not we’ll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems.This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems.This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems.This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … DevSecOps environment.Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding ...