26 to 50 of 178 Azure Machine Learning Jobs

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 ...

taking a different approach to AI. Rather than relying on off-the-shelf products, we build our own enterprise-grade AI and machine learning solutions, tailored to the unique needs of our business and the 30,000+ colleagues who use them every day. As our investment … within Iceland, responsible for delivering solutions across all areas of the business. Our AI Squad focuses exclusively on developing enterprise-grade AI and machine learning capabilities. The team has grown significantly in recent years, and we now operate in agile squads, each owning its own workstream ...

currently looking for a Machine Learning Engineer to join our client’s data team. This is a hands‐on role where you’ll design and build robust data pipelines, transform ML prototypes into production‐ready systems, and champion MLOps best practices across the business. … Machine Learning Engineer, you’ll play a crucial role in ensuring our clients’ data and AI strategy scales effectively, directly influencing the way millions of people engage with their products every day. Opportunity This is a unique chance to combine data engineering with machine ...

ensuring the smooth day-to-day running of AI delivery operations.The Data Science & AI Delivery Lead is the technical delivery leader for AI, machine learning, and advanced analytics solutions. This role owns technical execution, engineering standards, solution architecture, deployment quality, and production delivery of AI capabilities. … experimentation and production-ready code.Technical Strategy & Architecture: Own AI solution architecture and technical design standards. Define engineering approaches for LLM applications, agentic systems, machine learning solutions, and AI platforms. Lead evaluation of emerging AI technologies and determine appropriate adoption. Establish standards for MLOps, AI observability, model ...

ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement.The ideal candidate will also play … solutions, including:Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk ...

technical authority for AI-related projects and programmes. Mentor and develop engineers, architects and technical specialists. Design scalable AI and machine learning solutions. Define architecture for Generative AI, Machine Learning and Intelligent Automation platforms. Establish patterns for integrating AI services into enterprise … leadership audiences. Build strong relationships across technology, data and operational teams. Required Skills & Experience Technical Expertise Strong software engineering background. Experience delivering AI, machine learning or Generative AI solutions. Knowledge of Azure AI Services, Azure OpenAI, AWS AI or Google ...

true end-to-end role, owning projects from problem framing through to deployment and ongoing model performance, with strong object-oriented programming, machine learning and statistical skills, and experience taking models into production, designing ML pipelines and working with MLOps, CI/CD and Azure. … unlock new opportunities, deployed and maintained through the same MLOps patterns applied to traditional models. Engineering and MLOps standards Designing, building and maintaining machine learning pipelines in a cloud environment, applying sound software engineering practice. Owning deployed models in life, monitoring performance and drift, and ensuring ...

hiring of focused, aspirational, and collaborative practitioners, and as such we are offering the opportunity to join as a Data Science and Machine Learning Manager to support this challenging and rapidly expanding business. Deloitte offers a unique career opportunity in a supportive, challenging, and fast-growth … Azure, Databricks/other ML services, SQL, Tableau and Power BI.Development and delivery of new and innovative data science and machine learning tools and solutions to support evolving audit and assurance needs.Helping the team to support our clients in all areas of large ...

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 ...

creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class ...

creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class ...

discovery, design and delivery of data modernisation and migration projects, helping customers build the foundations required for successful adoption of AI and machine learning technologies. Working across consulting, advisory and technical delivery activities, you will help customers unlock value from their data while supporting large-scale … Framework principles. Deliver end-to-end data platform projects covering architecture, deployment, configuration and optimisation. Work with Architects and AI specialists to support machine learning and AI initiatives. Support the development of repeatable data and AI delivery frameworks and methodologies. Act as a technical escalation point ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

want to help build a Data Science function from the ground up? Have you delivered machine learning models that made it into production and drove real business value? Are you ready to shape how one of the UK's largest retailers uses customer data … Level Data Scientist, you'll work closely with the Data Science Lead and wider business stakeholders to develop and deploy machine learning solutions that directly impact customer engagement and commercial performance. You'll play a key role in helping scale Data Science across the organisation ...

years of relevant industry experience, or a relevant PhD combined with 4-5 years of industry experience. Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems. Strong programming skills in Python, with an emphasis on writing clean, efficient … maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive expertise ...

years of relevant industry experience, or a relevant PhD combined with 4-5 years of industry experience. Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems. Strong programming skills in Python, with an emphasis on writing clean, efficient … maintainable code to enable scalable and production-grade AI/ML solutions. Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools. Extensive expertise ...

like to be part of a growing engineering capability in a people-centric organisation? Or perhaps work in an open and collaborative learning environment? Are you passionate about technology, people and developing your coding skills? We have got all this and more. Whatever your aspirations, we’re looking … level-up their engineering capabilities in a partnership model. Through our Delivery Centre, we help them build microservices architectures, develop AI and machine learning capabilities and operate cloud infrastructure. As part of the Delivery Centre team, you’ll collaborate with architects, technology consultants and client stakeholders ...

Position Overview We are seeking a Senior Machine Learning Engineer to design, deploy, and optimize our next-generation Conversational AI and Data Analytics platforms. You will bridge the gap between AI research and production engineering. Your primary focus will be optimizing and scaling core Speech … high-performance, asynchronous REST and WebSocket APIs using FastAPI to serve real-time conversational agents. MLOps & Infrastructure CI/CD Automation: Design automated machine learning pipelines for model testing, versioning, and continuous deployment. Containerization: Pack applications using Docker or Podman for consistent execution across dev, staging ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate: Essential … Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … need Essential Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … needEssential ExperienceExtensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. Skills and experience that … needEssential ExperienceExtensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality ...