26 to 50 of 53 Azure Machine Learning Jobs in the UK

Senior .Net Developers (.Net 7, Azure, Machine Learning) Bournemouth, Dorset (2-3 days per week in office) £45-65k + 7-8% Bonus + £5k Relocation package. There is a £5000 relocation package available for these roles, but only for candidates in … the right tool from the job rather than being wedded to one stack and are always looking to the future, for example with Machine Learning capabilities (predictive analytics, LLM’s and traditional AI). The culture is relaxed and there’s no red tape. You will … not any design work. They are on to Angular 16/Angular Material but are quite happy to speak to those open to learning it, or transitioning from Vue/React/Svelte for example. The ideal candidate will have Azure DevOps experience and knowledge 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 … want our legacy to be the leaders we produce for the industry. Will you be next? Job Description: We are seeking an experienced Azure Cloud Architect to join our team. The ideal candidate will have extensive experience in architecting solutions on Azure Cloud platforms … and possess strong DevOps skills, including CI/CD pipelines. The Azure Cloud Architect will play a crucial role in designing, implementing, and maintaining cloud-based solutions for Pharmaceutical clients. Skills Required: Architect level Experience in Azure Cloud platforms. Experience with DevOps roles and more »

and cost-saving measures across the organization. Lead and mentor a team of data analysts and BI specialists, fostering a culture of continuous learning and development with a specific focus. Qualifications: Minimum of five years of leadership experience in business intelligence and analytics. Proven track record of success … datasets using statistical techniques. Proven ability to lead and manage a team of data analysts and BI specialists, fostering a culture of continuous learning and innovation. Preference for candidates with experience in Microsoft Azure, Azure Synapse Analytics, and Azure … Microsoft technologies for comprehensive data solutions. Additional consideration for candidates with experience in data science and proficiency in Python for data analysis and machine learning applications. Please share your CV on shivani@thereacthub.com or you can directly call me on +44 2038542459. more »

to join our growing teams and support a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using … SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS … Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. About Capgemini Capgemini is a global more »

to join our growing teams and support a variety of customers: Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.) Experience using … SQL for accessing and processing data (PostgreSQL preferred but general SQL knowledge more important) Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Delivering insights using visualisation tools or libraries (Javascript preferred) Experience building and deploying solutions to Cloud (AWS … Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform) Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language. Ability to translate business requirements into plausible technical solutions for articulation to other development staff. About Capgemini Capgemini is a global 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 … ML model deployment and MLOps. Responsibilities Design and implement Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. Data Engineering: Guarantee data access, Data quality, ETL, Data pipelines Platform administration: Help set up accesses, infrastructure, create new storage, enforce best … 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.) Good understanding of software best practises MongoDB (or NoSQL) experience Terraform experience 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 »

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 »

data quality and reliability. Identify and implement internal process enhancements, such as automating manual tasks and optimising data delivery. Utilise cloud-based infrastructure (Azure) for hosting data solutions and applications. Collaborate with architects, data analysts, and data scientists to achieve business objectives. Requirements: Demonstrated expertise in developing … architecture. Proficient in Data Modelling on a cloud-based data platform. Extensive experience with SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and T … SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge of CI/CD practices. more »

data quality and reliability. Identify and implement internal process enhancements, such as automating manual tasks and optimising data delivery. Utilise cloud-based infrastructure (Azure) for hosting data solutions and applications. Collaborate with architects, data analysts, and data scientists to achieve business objectives. Requirements: Demonstrated expertise in developing … architecture. Proficient in Data Modelling on a cloud-based data platform. Extensive experience with SQL Server and relational databases. Solid understanding of the Azure data engineering stack, including Azure Synapse and Azure Data Lake. Programming skills in Python, PySpark, and T … SQL. Nice to haves: Familiarity with broader Azure Data Solutions, such as Azure ML Studio. Previous experience with Azure DevOps and knowledge of CI/CD practices. more »

get together at either of the offices either a Wednesday or a Friday. RESPONSIBILITIES Working on projects that utilise products within the Microsoft Azure and SQL Data analytics stack Satisfying the expectations and requirements of customers, both internal and external Supporting others in their development Contributing to … the Adatis and external community EXPERIENCE & SKILLS Industry experience in delivering Microsoft Azure/SQL Data Analytics solutions, with a good grounding in all associated areas Proven written and spoken English Strategic and operational decision-making skills Outstanding interpersonal skills Ability and attitude towards investigating and sharing … Great holiday allowance plus your birthday and volunteering days off Company team days (3 times a year!!) Unlimited budget for books for your learning Trips to technical conferences (e.g. SQLBits) Cycle To Work scheme All the usual perks (pension, healthcare blah blah) plus a few other cool ones 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 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 »

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 »

Head of Data – £75,000 per year North West London (Hybrid 3 days per week onsite) VIQU has partnered with an education and learning institution to find a Head if Data. For their business you will be managing a team of over 8 Data Officers. The role requires … system integration Proficiency in SQL and other relational and non-relational databases. - Data visualization (Tableau/PowerBI). - Cloud database knowledge (AWS or Azure). - Datamining, ML, AI. - Can simplify complex data into compelling and insightful stories. - Analytical and problem solving abilities. - Experience in Data flow management more »

to £75k per annum - Perm Must have full rights to work – there is no VISA sponsorship VIQU has partnered with an education and learning institution to find a Head if Data and Integration. For their business. You will be managing a team of over 8 Data Officers. The … as system integration Proficiency in SQL and other relational and non relational databases Data visualization (Tableau/PowerBI) Cloud database knowledge (AWS or Azure) Datamining, ML, AI Can simplify complex data into compelling and insightful stories Analytical and problem solving abilities Experience in Data flow management, data 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 »

s Automatic Feature Extraction team as a Senior Infrastructure Engineer and contribute to solving business and customer problems using Microsoft's cloud offering Azure to orchestrate exciting new solutions. Be part of a multidisciplinary production delivery team and actively engage in the analytical community at OS. Who … skills in software engineering & industry best practice (including (TDD, CI, Clean Code, creating testable code, Design Patterns). Technologies We Use : YAML, Bicep, Azure Pipelines, Azure Data Factory, Function Apps, Azure Batch. Our wider team also … uses Python, Esri ArcPro and geoprocessing tools, FME, SQL and AzureML. While not required, the following skills would be a plus: Experience of using AzureML to orchestrate Machine Learning models. Experience of processing geospatial data. Remember, you don't need to tick every box to apply. 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 »

Senior Azure (iPaaS) Architect (Fully Remote) - Must be a UK Resident (SC Required) Are you ready to take the lead on a groundbreaking project delivering AI and intelligent automation solutions? This project is critical to enhancing efficiency in the delivery of public services right across the UK. … to deliver high-quality solutions to clients. What you need: Ability to engage with clients/stakeholders and manage these relationships Expert with Azure iPaaS solutions - architecting, designing, building, and deploying various components, i.e., APIM, Logic Apps, Function Apps, Pipelines, Data Factory, Service Bus, Event Grid, Azure more »

extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into 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 »