1 to 25 of 46 Azure Machine Learning Jobs in the UK

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop … and deploy machine learning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machine learning models for performance and efficiency. Ensure compliance with security standards and … best practices. Troubleshoot and debug issues as they arise. Document code, processes, and procedures. Requirements: Extensive experience working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine more »

unlock value for your team and wider organisation using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta … Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the more »

pushing the boundaries of what's possible with analytics and AI, and we are seeking a talented Solutions Architect with expertise in Microsoft Azure and Natural Language Processing (NLP) models to join our dynamic team. As a Solutions Architect specializing in Microsoft Azure, you … processing and extracting insights from unstructured text data. Key Responsibilities: Lead the design and architecture of analytics and AI solutions on the Microsoft Azure platform, ensuring alignment with business objectives, scalability, and reliability. Work closely with data scientists and AI engineers to integrate NLP models into our … solution offerings. Conduct performance optimisation, scalability assessments, and security reviews for existing and proposed architectures. Serve as a subject matter expert on Microsoft Azure services, providing mentorship and training to team members as needed. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a more »

chain. A strong awareness and experience of process optimization tools, techniques, and approaches, Good Experience in facilitating the process mining around AWS and AZURE Cloud infrastructure. Part of many full life cycle SAP Implementations for major clients. Drive data migration strategy and process to enable quality data … Data base concepts. Oracle, Vertica etc.. SAP Certifications (At least 1) SAP ABAP SAP Functional Modules (SD,MM,CRM, or FI,CO etc..) Machine Learning in The Cloud with Azure Machine Learning. more »

enhanced DV (West) Clearance Up to £75k 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 enhanced DV … the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced 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 »

talent and technologies to stay at the forefront to be the best. As a Data Engineer, you will help build end-to-end machine learning solutions deployed for use by stakeholders throughout the business that will be essential to the business' ability to serve our millions … data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of the … Machine Learning lifecycle, from initial scoping and development to deployment and model maintenance. Agile Ways of Working We'd love to see a passion for: GDPR-compliance and data governance in context of machine learning Infrastructure management including monitoring, backup, and disaster more »

the day-to-day tasks? Design and develop AI models and solutions using Azure Open AI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring … and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on … AI solutions, including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing more »

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 »

products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools and services, mentor junior team members, and drive innovation through cutting-edge data solutions. Required skills & Experience: Bachelor or Master's degree … Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow … Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead 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 »

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 »

talent and technologies to stay at the forefront to be the best. As a Data Engineer, you will help build end-to-end machine learning solutions deployed for use by stakeholders throughout the business that will be essential to the business' ability to serve our millions … data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake, Azure Machine Learning, Data Factory. Azure is preferable, but AWS and GCP experience is welcome Familiar with all parts of the … Machine Learning lifecycle, from initial scoping and development to deployment and model maintenance. Agile Ways of Working We'd love to see a passion for: GDPR-compliance and data governance in context of machine learning Infrastructure management including monitoring, backup, and disaster 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 »

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 »

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 »

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 … 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 … 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 more »

Leading Applied AI Company 🪖 Cutting edge DefenceTech 🔥 Working with the latest tech in AI and ML ⚙️Preferred Tech: Python; Azure; Machine Learning. 📍 The Company I'm working with an exciting startup who are revolutionising the way that Artificial Intelligence, Machine Learning … you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to Machine Learning to join this exciting and rapidly growing tech-focused team. You would be working with bleeding edge tech and contributing to more »

unique benefits package that includes personal training sessions, well-being provisions, and an additional day off for your birthday! We benefit from a learning culture and are keen to develop our employees to advance their careers at Aventum. Role Summary You will work in various settings to build … adding activities through automation or outsourcing. Operations: Design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs. Ensuring non-functional system characteristics such as such as security, maintainability, quality, performance, and reliability are captured … Synapse or related tools with cloud-based resources (e.g. Stored Procedures, ADF, NoSQL Databases, JSON/XML data formats) Hands-on experience with Azure Functions, Azure service bus, Azure Data Factory data integration techniques Knowledge of Data Modelling concepts, monitoring, designs 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 oversee the creation of new data storage systems, managing both unstructured and semi-structured data. Monitor and enforce the use of our Azure platform to ensure that users adhere to agreed-upon processes and practices for code, data, and model governance. Deploy policies and quotas to … spending on the Azure platform and its instances. Maintain and provide support for our Azure platform for Machine Learning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model … documentation, and use of collaboration tools. Extensive experience in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as more »