43 Azure Machine Learning Jobs in England

of-the-art AI models for content generation and personalisation.Handle a variety of data types, ensuring they are primed for use in their machine learning models.Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG).Ensure high performance and … related field, or equivalent experience.Experience creating LLM & RAG driven applicationsProficiency in programming with tools like Python, TensorFlow, and PyTorch.ML deployment with services like Sagemaker, AzureML, VertexAI etc.A keen understanding of AI ethics and responsible AI deployment.Innovative thinking and excellent problem-solving abilities.Desirable skills:Experience with cloud infrastructures, especially Azure … London or remote possibilities.The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain.Access to continuous learning and development programs to further enhance your skills.A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are more »

actionable insights. Assist in the development of new tools and methodologies, reinforcing leadership in the AI sector. Required Skills and Experience: Experience with Azure Fabric, Azure ML, Databricks, Data Factory, and Azure AI Services. Working knowledge of LLMs and related frameworks … their application in business contexts. Familiarity with MLOps/DevOps, particularly within cloud environments. Strong coding skills in Python and experience with C#, Azure Functions, and Event Hubs. A solid understanding of data science methodologies and their business applications. As part of this engagement, you will work more »

the foundational technologies that underpin our products and services. This role demands a good understanding of a specific tech stack, including Databricks, Snowflake, Azure, as well as ML/AI frameworks, Python, and C#. You will collaborate with cross-functional teams to ensure our cloud and AI … core engineering capabilities. Duties and responsibilities Support and guide stakeholders and product teams with design and development of solutions leveraging Databricks, Snowflake and Azure for cloud computing services. Be at the forefront of introducing AI/ML technology and frameworks into our core technology capabilities. Develop and … technologies for superior performance and user experience. Ensure system designs adhere to best practices, supporting the strategic direction of the company and leveraging Azure cloud services effectively. Troubleshoot and resolve complex issues related to the specific tech stack, providing expertise in Databricks, Snowflake, Azure more »

and join us as a Solution Architect. The centralised data platform is based on a lakehouse and domain mesh architecture, centered around Microsoft Azure & Databricks technologies. You'll also be: Leading the definition, design and delivery of data products and solutions on the Data Platform. Ensuring all … technologies Familiarity with Data Warehousing, Business Intelligence, Data Science and Data Engineering needs to fulfil data & analytics solutions Architecture experience in the cloud (Azure Storage, Databricks, Delta Lake, Lakehouse, Azure AI, ML Ops) It would be great if you also have Appreciation of Data more »

Azure MicroServices Decision \ ML Applications Proven track record of internal development & Promotions. Sound like a Product, Tech stack and culture that you are looking for? A SaaS company based out of Manchester, offering remote work are about to build their 3rd squad in 18 months as they … to the new squad. Developers who love complex solutions and creating simple applications to solve these problems using the latest .Net Core and Azure technology in a Micro Service architecture. Coding principles and quality standards are baked in from the start – SOLID \ TDD are something they live … have experience in the following areas and the position, progression and tech are what you are looking for – lets chat! C# .NET Core Azure Microservice Architecture Azure DevOps TDD or Unit testing Event driven Development Now you don’t need to be an expert more »

this data availableforother stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »

closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Key responsibilities: Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing … and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay … current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Skills & Experience Proven experience in Data Science and Machine Learning, combining excellent academic research with significant commercial impact. Demonstrated ability to deliver more »

founding in 2010, technology innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsMax™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable customers to efficiently manage data, leverage data science to … DB, Redis, and Elasticsearch for efficient data storage and retrieval.Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms.Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools.Manage Azure DevOps, CI/CD pipelines, GitHub … AKS) for efficient software development and deployment.Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations.Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue.Collaborate with stakeholders to more »

Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also … model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Contribute to MLOps across the organisation. Requirements An academic background in Statistics, Mathematics, or Computer Science (or similar) A number of years … than just writing code) An ability to write production quality Python code. Strong SQL Skills Experienced creating data pipelines in a cloud (preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML more »

and customers Preferred Qualifications: Background in at least one BI platform (Tableau, Power BI, Qlik, etc.) Familiarity with predictive analytics and AI, e.g. machine learning Working knowledge of data platforms such as Snowflake and Databricks; ML platforms such as Azure ML, Amazon SageMaker more »

about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure tools and have some very exciting initiatives! They are looking for an a mid -weight Data Engineer to join a well established team. … Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with Azure Cloud Services. Sound understanding of T-SQL programming. Exposure to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written more »

the-art AI models for content generation and personalisation. Handle a variety of data types, ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG). Ensure high … equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures … remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing systems to enable more scalable, reliable, and maintainable … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed more »

for other stakeholders across the business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity more »

about it, they're the leader in legal representation comparison and have rather interesting, unique data to work with. They are using modern Azure tools and have some very exciting initiatives! They are looking for an a mid -weight Data Engineer to join a well established team. … Proficient knowledge of SQL and CosmosDB (or similar) databases. Expertise in designing, constructing, administering, and maintaining data warehouses and data lakes. Familiarity with Azure Cloud Services. Sound understanding of T-SQL programming. Exposure to Azure Data Lake technologies, including ADF, HDFS, and Synapse. Solid … Catalog, and Master Data Management. (You will be skilled up in this sought after area) Understanding of Advanced Analytics and Model Management, encompassing Azure Databricks, Azure ML/MLFlow, and deployment of models using Azure Kubernetes Service. Excellent oral and written more »

MLE Engineer - Azure SR2 is recruiting for one of the UK's leading AI companies and looking for a Machine Learning Engineer (MLE) on an outside IR35 contract basis. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating … practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed … ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required Experience deploying Generative AI applications is desirable (e.g. RAG systems more »

programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server. Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial. Applicants more »

programming with C#.NET. This should include experience with some of the following: WinForms, WPF and SQL Server. - Further project experience with cloud computing (Azure), ML/AI integration, MVC web development, real-time data management software (OsiSoft PI Systems), or mapping software (ArcGis) would be beneficial. Applicants more »