26 to 50 of 83 Azure Machine Learning Jobs in the UK

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

deliver even smarter insights to our teams across the organisation. About the role As a Data Scientist, you’ll be responsible for developing machine learning models and designing AI‐driven workflows to process and extract value from data. You’ll also create reusable features using … support scalable and consistent use across the company’s reporting infrastructure. Your day‐to‐day responsibilities will include: Developing, testing and deploying predictive machine learning models within Azure (e.g., Azure ML, Azure AI Foundry). Monitoring ...

stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate: Essential … Experience Extensive experience in Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality ...

phases or proof‐of‐concept work. Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model … deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search. Experience managing or leading technical delivery teams, with a track record of fostering ...

heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most … scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine ...

global consultancy in the United Kingdom is seeking a skilled Data Scientist to join their team. The role involves running machine learning workloads on Azure, managing and optimizing models, and collaborating with both local and remote teams. The ideal candidate should have strong … programming skills, hands-on experience with Azure Machine Learning, and a solid understanding of data and its limitations. This position requires the ability to handle multiple projects simultaneously and may benefit from the Azure Data Scientist Associate Certification. #J ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

Agentic AI solutions, helping automate complex business processes and establish scalable AI capabilities across an enterprise environment. You'll work across AI engineering, Azure AI, solution integration, observability and Responsible AI. Key Skills: Strong experience delivering enterprise AI solutions using LLMs, Generative AI and Agentic AI Hands … including Azure OpenAI, Azure AI Search, Azure AI Foundry and Azure Machine Learning Experience implementing AI monitoring, observability, telemetry and operational metrics Strong Python development and REST API integration experience Knowledge of vector databases ...

challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Dont know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing ...

practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/… scale. Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. ...

efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems … Preferably educated to degree level in a relevant discipline or with equivalent relevant practical experience Demonstrable working knowledge of advanced analytic techniques (Statistics, Machine Learning, Deep Learning) and a demonstrable ability to evaluate and select the right approach for the nature of the problem ...

reliably across the enterprise. This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists … strategies, lifecycle management, monitoring/observability, and Disaster Recovery Experience supporting LLMs, generative AI platforms, or model serving infrastructure. Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and finetuning, experimentation over large datasets, and end to end MLOps pipeline ...

data integration and relational platforms* Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security.**AI Strategy & Adoption*** AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products.* AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment Demonstrated ability to lead ...

IDEs such as VS Code) to support controlled, traceable, and reproducible analytical workflows Cloud platforms (primarily Microsoft Azure) Exposure to machine learning, network analytics, and entity resolution techniques What We’re Looking For 3+ years of professional experience working in data analytics … fraud detection, financial crime analytics, or compliance monitoring Experience applying statistical and advanced analytical techniques (e.g., hypothesis testing, regression, anomaly detection, or machine learning) Experience working with version control systems (e.g., Git) and structured development environments (e.g., VS Code or similar), with an understanding of their ...

networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning Specialty). Certified cloud Architect Experience of delivering production AI/ML … well-being holistically, supporting our peoples physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. Were proud to be consistently recognized as one of the Worlds Best Workplaces.Join Accenture to work at the heart of change. Visit ...

insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data … data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions … Hands‐on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven ...

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud … Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts ...

hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition … commercial challenges. I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking ...

hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition … commercial challenges. I'm hiring a Senior Data Scientist to join a leading UK insurer's Pricing & Data Science function, working on innovative machine learning solutions that directly influence risk assessment, pricing, fraud detection, and commercial performance. This is a role for someone who enjoys taking ...

e.g., MSc, PhD) in AI, Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering (e.g., TensorFlow Developer, Azure AI Engineer Associate) are desirable. Demonstrated commitment … secure, and modular AI systems, including LLM services, agentic workflows, and RAG pipelines. Advanced proficiency in building and deploying AI solutions on Microsoft Azure and Google Cloud Platform (GCP). Strong understanding of secure coding practices, encryption, access control, and auditability in AI systems. Skilled in implementing ...

around you, helping to shape career paths and working generously to share your own expertise and learning. You enjoy working closely with customers, learning of their needs, and translating these to features. You are confident operating to agile principles and will thrive on collaborating with technical minds across … through Presentations: Share expertise and insights with the team or the wider organization through presentations, which helps in spreading knowledge and encouraging a learning culture within the organization. Encoding Knowledge in Libraries and Tools for Wider Use: Create reusable code libraries or tools that can be utilized across ...