24 of 24 Remote Azure Machine Learning Jobs in the UK excluding London

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they … models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and expertise in MLOps frameworks, we want to hear from you. Bring your excellent communication, problem-solving, and organizational skills to our team … integration Basic understanding of networking concepts within Azure Familiarity with Docker and Kubernetes is advantageous Experience within financial/insurance services industry is advantageous Experience with AzureML and Databricks is advantageous Skills & Qualifications Strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse More ❯

innovation. Job Overview We are seeking a highly skilled and motivated Cloud Services Engineer to join our clients dynamic team. The ideal candidate will have extensive experience with Azure Cloud, Azure AI Foundry, and Power Automate. This role is critical in designing, implementing, and maintaining cloud-based solutions for our clients, as well as … driving innovation within the organization. Key Responsibilities Design, develop, and deploy scalable and secure cloud solutions using Azure Cloud services Implement and optimize AI-driven solutions leveraging Azure AI Foundry Create and maintain automated workflows using Power Automate to streamline business processes Collaborate with cross-functional teams to understand business requirements and translate them … Security Center In-depth knowledge of Azure AI Foundry and its components, including: Azure Cognitive Services Azure Machine Learning Azure Bot Service Azure Databricks Proficiency in Power Automate for creating and managing automated workflows Strong programming skills in languages More ❯

designated office 2 days per week. This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to deliver … solutions where appropriate, whilst having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled solutions where appropriate, applying … able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft 365 platforms More ❯

and operational data into actionable insights that directly improve quality of care across thousands of lives. If you want to push the boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product … predictive insights that highlight trends, correlations, and risk factors (e.g., falls, infection prevention) using Azure Machine Learning and the wider Microsoft Azure data stack. Develop scalable, reusable workflows with Azure Data Factory, Synapse Analytics, and Databricks. Work closely with developers and product managers to bring insights to … science culture. What You'll Bring Proven experience in data science with a strong track record in predictive modelling, correlations, and trend analysis. Hands-on expertise in the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical More ❯

to solve our client's 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 softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS … Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the More ❯

to solve our client's 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 in Cloud Computing such as … AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and More ❯

Job title: Power Platform & Azure Data Developer (AI focused) Location: Central London (hybrid - 2 days on site) Salary: Up to £70,000 DOE About the role/company: This is a great opportunity to join a Pharmaceutical company in London who are growing their team. The business are in the process of delivering some of their AI … strategies and are seeking a dynamic and skilled Power Platform & Azure Data Developer with hands-on experience or exposure to AI Key skills/responsibilities: Design, build, and maintain Power Apps (integrate them with Power Automate and in Power BI). Integrate Power Platform solutions with other Microsoft services (e.g SharePoint, Dynamics … Build and manage data pipelines using Azure Data Factory. Support the deployment of cognitive services (e.g., Azure OpenAI, Azure Machine Learning) Work closely with business stakeholders, analysts, and other developers to gather requirements. Proven experience designing and deploying Power Automate workflows. AI/ML exposure with basic More ❯

skills we value: • Cloud platform deployment on AWS or Azure • Containerisation using Docker or Kubernetes • Experience with Ansible or other configuration management tools • Exposure to machine learning platforms (Azure ML, TensorFlow, Amazon SageMaker) • Working with relational or NoSQL databases (document, graph, or RDBMS) Platform Engineer - Key Benefits: • Clear career progression More ❯

visualisation team to align back-end processing with front-end reporting. Design and implement secure, flexible data access models for internal and external users. Use bespoke pipelines and Azure Data Factory to incorporate 3rd party external data sources. Establish unit and integration testing practices and support CI/CD processes for data pipelines. Identify and resolve bottlenecks … understanding of data engineering concepts, including: Lakehouse architecture and Delta Lake Data warehousing ETL/ELT pipelines Change Data Capture (CDC) and change tracking Stream processing Database design Machine Learning and AI integration Hands-on experience with: Azure Databricks Python/PySpark Microsoft SQL Server Azure Blob Storage Parquet file … formats Azure Data Factory Proven experience building secure, scalable, and high-performing data pipelines. Ability to solve complex technical problems and work collaboratively across teams. Excellent communication and documentation skills. Self-motivated with a proactive approach to continuous improvement. Desirable Experience: Experience in the retail sector, especially automotive retail. Background in delivering large-scale, enterprise-grade data More ❯

Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you … and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure … tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising More ❯

Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you … and you know how to turn those ideas into working solutions. What's involved: Lead the design and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure … tools (Azure DevOps preferred). Experience with microservices architecture, RESTful API development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising More ❯

Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a … understanding of customer lifecycle metrics Comfortable working in a fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing More ❯

Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a … understanding of customer lifecycle metrics Comfortable working in a fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing More ❯

Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a … understanding of customer lifecycle metrics Comfortable working in a fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing More ❯

Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a … understanding of customer lifecycle metrics Comfortable working in a fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing More ❯

datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications More ❯

datasets and self-service analytics across teams. - Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. - Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: - Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications More ❯

in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering More ❯

with multiple stakeholders to effectively frame problems and building solutions with effective commercial outcomes. Keen interest in emerging ML techniques and their commercial value. Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services Strong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts. Personal Attributes Natural More ❯

CD tools A creative and collaborative mindset UK Security Clearance eligibility (British or dual British citizen only) 📚 Nice to have (or build with us): Experience with AWS or Azure Familiarity with Docker/Kubernetes Infrastructure-as-Code tools like Ansible or Terraform Knowledge of database technologies (SQL/NoSQL/Graph) Exposure to ML platforms (e.g. TensorFlow … Azure … ML) 🎁 The Package: Salary up to £72,000 Hybrid working (3 days a week in Leeds) Private medical, enhanced pension & life assurance Inclusive culture with a focus on learning and community outreach Real career progression in a high-impact, supportive team 📩 To hear more about the role, get in touch with Brad Collings. More ❯

Platform Engineer Location: London (Hybrid - 3 days onsite) Salary: Up to £64,000 Job Type: Permanent Key Responsibilities • Design and build secure, scalable platforms using AWS (preferred) or Azure • Define infrastructure-as-code pipelines using Terraform, CI/CD tooling (Jenkins, Bamboo, Bitbucket) • Collaborate within cross-functional Agile teams to deliver Proof of Concept and Production systems … and undertake occasional overseas assignments • Strong team player with a proactive mindset, eager to shape new delivery teams Desirable Skills • Exposure to cloud ML platforms (e.g., AWS Sagemaker, Azure ML) • Experience deploying data/API services and microservice architectures • Previous consulting or defence/national security sector experience • Familiarity with Ansible or similar configuration management tooling Package More ❯

controlsystems such as Git. Ability to analyse problems anddesign better solutions. A familiarity with agile projectmanagement processes such asScrum Desirable requirements: Formal Data & Analyticsqualification e.g. CertifiedAnalytics Professional (CAP), Azure DataEngineer/Scientist Associate Experience in the use ofdata and analytics toolingwithin Microsoft Azure. Knowledge of … machinelearning algorithms and datascience techniques. Why Arden: At Arden, you will become a part of a passionate and dedicated team who are committed to removing unnecessary barriers to learning and making education more accessible. Our people work hard to ensure our students journeys are the best they can possibly be, as such we want to reward our people More ❯