1 to 25 of 76 Azure Machine Learning Jobs in England

Join to apply for the Machine Learning Operations Engineer role at XPS Group Join to apply for the Machine Learning Operations Engineer role at XPS Group Ref:002981 Please note we do not provide any work sponsorships. XPS Group is a leading UK consulting and administration business specialising in the pensions and … where talented people can flourish and achieve their highest potential . Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Operations Engineer to join one our offices with hybrid or remote UK working. This is an exciting role and would most likely suit someone with … previous experience in a similarrole where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. Machine Learning 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 ❯

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 ❯

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data science and machine learning techniques to solve complex challenges Conducting research … data transformation opportunities within the Defence and Security sector What Are We Looking For? Essential Skills & Experience Active Enhanced DV Clearance Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia Strong knowledge of machine learning architectures and models Methodical approach to problem-solving and analytical More ❯

Role: Azure AI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services … 's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and implement machine learning models that predict key outcomes such as life expectancy … investment return scenarios, and financial risks. * Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production. * Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end More ❯

Role: Azure AI DevOps Engineer Salary: £50,000 Location: London or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services … 's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client insight generation. Key Responsibilities 1. Azure-Based Machine Learning Development * Collaborate with domain experts and analysts to design and implement machine learning models that predict key outcomes such as life expectancy … investment return scenarios, and financial risks.* Deploy and manage ML solutions using Azure Machine Learning (Azure ML), covering training, testing, and deployment to production.* Select appropriate ML techniques (e.g., classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end More ❯

Description We're looking for a Machine Learning Engineer to become an integral part of our transversal Data team, where you'll play a pivotal role in transforming and modernising our machine learning platform. In this dynamic position, you'll collaborate across the organisation to define and implement MLOps best practices, while … taking charge of designing, implementing, and maintaining the infrastructure, essential for the development and deployment of machine learning models. Working closely with data scientists, data engineers, solution engineers, and other stakeholders, you'll ensure the seamless integration of machine learning models into our production systems, driving innovation and excellence within AXA UK. … happy to consider flexible working arrangements, which you can discuss with Talent Acquisition. What you'll be doing: Transform offline models developed by data scientists into a robust machine learning production system including Model Deployment and versioning, Data Management and Feature engineering, Model Monitoring and Performance Management and Automation and Orchestration. Build and enhance reusable tools More ❯

and Defence Consultancy client. Must have active DV Clearance Up to £85k 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 DV Clearance for a prestigious client to … crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active 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 visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch 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 ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from La Fosse Data Science, AI & Machine Learning Consultant at La Fosse Machine Learning Engineer London (Hybrid) Up to 65,000 One of La Fosses best clients are currently seeking a talented ML Engineer for their … AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. Im looking for a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML … model development and GenAI summarisation pipelines to MLOps and multi-agent systemswith real-world impact on financial security and compliance. What Youll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms More ❯

Social network you want to login/join with: Machine Learning Ops Engineer - AI, London col-narrow-left Client: Opus 2 Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 49e4bb405041 Job Views: 2 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: As Opus 2 continues … MLOps Engineer to build and maintain the infrastructure that powers our AI systems. You will be the bridge between our data science and engineering teams, ensuring that our machine learning models are deployed, monitored, and scaled efficiently and reliably. Youll be responsible for the entire lifecycle of our ML models in production, from building automated deployment … pipelines to ensuring their performance and stability. This role is ideal for a hands-on engineer who is passionate about building robust, scalable, and automated systems for machine learning, particularly for cutting-edge LLM-powered applications. What you'll be doing Design, build, and maintain our MLOps infrastructure, establishing best practices for CI/CD for More ❯

Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice is looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects ranging from tools that support energy network risk … clients solve their key data challenges. You will also support the growth of our team by helping them develop the necessary skills. Typical engagements include: Defining and implementing Machine Learning projects throughout their lifecyclefrom conception, data preparation, model engineering, evaluation, deployment, to monitoring and maintenance. Establishing and developing ML Ops frameworks and standards for clients, integrating … production solutions and contribute to our company's growth. You should be capable of advising clients and actively participating in technical delivery. Your skills include: Passion for solving machine learning problems, with a blend of technical delivery and consulting skills. Advanced degree in computer science, mathematics, physics, engineering, or related STEM field. Strong problem-solving skills More ❯

with creating and/or maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong problem … Networking Azure Identity Azure Virtual Desktop Cloud-native architecture (containers, serverless, and other services) Hybrid Cloud environments Qualifications (AZ-104) Microsoft Azure Administrator (AZ-305) Microsoft Certified: Azure Solutions Architect Expert (AZ-500) Microsoft Certified: Azure Security Engineer Associate - Desirable (AZ-700) Microsoft Certified … Azure Network Engineer Associate - Desirable (AZ-140) Microsoft Certified: Azure Virtual Desktop Specialty - Desirable What We Do For You Wellbeing focused - Our people are our greatest assets, and ensuring everyone feels their best self to come to work is integral Annual Leave - 26 days of annual leave, plus public holidays and the ability to More ❯

year ML Ops Engineer - Perm - London Salary: £40,000 - £45,000 pa Remote or Hybrid if closer to London We are on the look out for an experienced Machine Learning Operations Enginnner (ML Ops Engineer) to join this growing team who have been awardedActuarial Software of the Year. The role in this mission is to pioneer … consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring More ❯

Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or … especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. More ❯

Company: The Citation Group Position: Machine Learning Engineer Location: Wilmslow/Remote Type: Full-time – Permanent We’re looking for a Machine Learning Engineer to help us deploy, maintain, and continuously improve our machine learning models in production. As part of the Data Science & AI team you'll … better, faster, and smarter. You’ll be part of a collaborative, forward-thinking team that values experimentation, autonomy, and clear impact. Key Responsibilities Design, deploy, monitor, and maintain machine learning models in production using Databricks. Collaborate with data scientists, data engineers, and software developers to operationalise models. Own and improve model lifecycle management including versioning, performance … Requirements Experience deploying and maintaining ML models in production. Solid hands-on experience with Python and SQL. Practical knowledge of Databricks or similar platforms (e.g. SageMaker, Vertex AI, Azure ML). Comfortable working with Git and GitHub-based workflows. Strong problem-solving mindset and a proactive approach to automation and scaling. Ability to communicate clearly and collaborate More ❯

in a cloud environment (preferably Azure). Strong hands-on development skills. Our main application stack is based on .Net and C# Deep understanding of machine learning, data pipelines, and MLOps practices. Experience with Azure services such as Azure Machine Learning, Azure Data Factory, Azure Synapse, and Azure Functions. Implementing modern retrieval techniques such as vector search, semantic search and Retrieval-Augmented Generation (RAG) using tools like Azure Cognitive Search, FAISS, Pinecone, or Weaviate. Familiarity with data governance, privacy, and ethical AI principles. Experience with DevOps tools and practices, including More ❯

our world-class team today and fulfill your career potential! The Opportunity As an AI Pre-Sales Scientist, you will communicate FICO's AI/Gen AI and machine learning/analytic methods and innovations to clients, supporting sales efforts for FICO's solutions that manage risk, combat financial crime, build profitable customer relationships, and meet … Enhance engagement with internal and external stakeholders on AI/Gen AI topics. Drive customer understanding of FICO's AI/Gen AI products, aligning customer needs with machine learning and analytic methods. Provide feedback for product development based on customer interactions. Participate in research to identify emerging AI/Gen AI trends and technologies to … We're Seeking MSc in computer science, engineering, physics, statistics, mathematics, operations research, or natural sciences, with hands-on data science experience including AI/Gen AI and machine learning. Experience analyzing large data sets, data cleaning, and statistical analysis. Proven experience with at least three machine learning algorithms (e.g., neural networks, logistic regression More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

science professional looking to take the next step in your career? Campion Pickworth are working with a leading International professional services firm to recruit for Data Science and Machine Learning Assistant Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham 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 for … to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely … Agile teams to deliver robust 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/CD tools. To be Considered: Please More ❯

infrastructure to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictive modelling , and economic forecasting to extract insights. - You will comply to data governance policies and best practices to ensure data quality, documentation and compliance with … science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or … Azure Machine Learning Studio. Good knowledge of DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace. Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn). Skills in data visualisation tools (e.g.: Tableau, PowerBI More ❯

the data director, you will join to manage a small (but growing) team, remaining hands-on you will help bring a more sophisticated approach to data science and machine learning across the business. Key projects the team are working on currently: Dynamic pricing algorithms for the website Recommender systems NLP and classification Customer and marketing behaviour … months will be to make their current product pricing algorithms better! YOUR SKILLS AND EXPERIENCE You must have: An MSc or Ph.D. in a STEM topic with a machine learning focus Experience of working with large volumes of data (preferably online data) Expert knowledge of Python Working knowledge of GCP (other cloud tools fine) Knowledge of … pricing is required for this role Excellent stakeholder management skills Experience in leading teams of data scientists who are responsible for deploying machine learning into production. THE BENEFITS £110,000 - £120,000 + Benefits HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. For details on similar More ❯

teams, and data scientists, to ensure that final solutions meet requirements. The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machine learning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation. In this role you will be responsible for: Design … need to have: Proven experience delivering AI/ML solutions in production , with a strong focus on large language models (LLMs) and generative AI. Hands-on expertise with Azure Databricks , including data engineering, model development, and orchestration of ML workflows. Practical experience using LLMs and RAG , including prompt design, vector databases, model deployment, and integration into applications. … including code standards, model lifecycle management, CI/CD, and monitoring in cloud environments. Familiarity with the Azure ecosystem , such as Azure Machine Learning, Azure DevOps, and related cloud-native tools. Excellent communication and collaboration skills , with the ability to work effectively across data science, engineering, and More ❯