26 to 50 of 76 Azure Machine Learning Jobs in the UK

smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders … to identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across … or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders … to identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across … or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to 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 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 ❯

of cloud environments Azure Experience of implementing AI tools Knowledge of performance testing tools (e.g., JMeter, LoadRunner) and security testing best practices. Familiarity with Microsoft Azure services, Docker, and Kubernetes in a testing context. Experience in testing AI/ML solutions and services such as Azure Machine Learning, Azure Open AI, and Azure Search Index. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. 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 ❯

to deliver quality healthcare services. Key Responsibilities Design and implement ETL pipelines for healthcare data using Python, SQL, and cloud-based tools Develop and maintain data infrastructure on Azure including data lakes, warehouses, and processing frameworks Create robust data transformation processes ensuring data quality, consistency, and security Implement orchestration to automate manual workflows such that they are … architectural planning to improve overall data infrastructure and capabilities Required Experience Strong experience with Python, SQL, and ETL processes for healthcare data pipelines Proven expertise managing data in Azure, such as Azure Data Factory, Azure Databricks, or Azure … Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience More ❯

functional teams. Responsibilities Architect, implement, and maintain CI/CD pipelines to optimise software build, test, and deployment processes. Lead cloud infrastructure management and automation efforts on Microsoft Azure, ensuring scalability, security, and efficiency. Develop and enforce best practices in infrastructure as code using tools such as Terraform, Ansible, or CloudFormation. Design and implement monitoring, logging, and … Essential Proven experience in designing and managing complex CI/CD pipelines. Extensive hands-on experience with cloud computing on Microsoft Azure. Strong scripting and automation skills in Azure CLI, Bash, PowerShell, or Python. Deep expertise in containerisation technologies (Docker) and orchestration tools (Kubernetes). Advanced knowledge of infrastructure as code tools such as Terraform with Terragrunt … Desirable Strong understanding of DevOps security best practices, including IAM, compliance, and vulnerability management. Experience with Azure AI services, such as Azure Machine Learning or Azure AI Services (Cognitive), to enhance CI/CD automation, optimize DevOps processes, and accelerate developer code and feature delivery. Experience with 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 ❯

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 ❯

Strong analytical and problem-solving skills to tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About working for us Our More ❯

Strong analytical and problem-solving skills to tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About working for us Our More ❯

and Responsibilities Spearhead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Develop and deploy advanced machine learning models using cloud-based platforms. Collaborate with product managers and designers to ensure the feasibility of product extensions and new products based on existing proprietary, quantitative … and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure More ❯

will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms …/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming More ❯

will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms …/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming More ❯

will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms …/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming More ❯

will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms …/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming More ❯

will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms …/frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex … adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming More ❯

for a visionary and hands-on Head of Data Science to define and execute our enterprise-wide data science strategy. You'll drive the adoption of Generative AI, machine learning, and advanced analytics across all business sectors, building the capabilities, team, and infrastructure to unlock high-impact, scalable innovation. Head of Data Science Location: Birmingham or … for a visionary and hands-on Head of Data Science to define and execute our enterprise-wide data science strategy. You'll drive the adoption of Generative AI, machine learning, and advanced analytics across all business sectors, building the capabilities, team, and infrastructure to unlock high-impact, scalable innovation. What You'll Be Doing Shape Strategy … GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science tools/platforms. Strong stakeholder engagement skills and the ability to simplify complex insights into More ❯

PowerBI/Tableau Expert knowledge of Analytic methodologies Proficiency in statistical packages, or programming languages or data science tools such as SQL, R, Python, Azure Machine Learning, etc. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary More ❯

creation collective leadership culture within the trust. This means demonstrating a consistent leadership style which (a) engages, enables and empowers others (b) uses coaching to promote ownership of learning and quality improvement and (c) facilitates team working and collaboration within teams/departments and across organisational boundaries. Fully remote working is not a possibility for this post and … PowerBI/Tableau Expert knowledge of Analytic methodologies Proficiency in statistical packages, or programming languages or data science tools such as SQL, R, Python, Azure Machine Learning, etc. Visualisation, including demonstrable design knowledge, such as layout, typography, colour and interaction design Disclosure and Barring Service Check This post is subject to the Rehabilitation More ❯

PowerBI/Tableau Expert knowledge of Analytic methodologies Proficiency in statistical packages, or programming languages or data science tools such as SQL, R, Python, Azure Machine Learning, etc. Visualisation, including demonstrable design knowledge, such as layout, typography, colour and interaction design Disclosure and Barring Service Check This post is subject to the Rehabilitation More ❯

We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or … Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark … and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science 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 ❯

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 ❯