1 to 25 of 55 Azure Machine Learning Jobs in London

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 ❯

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation of financial monitoring. We're looking for a Machine Learning Engineer to … Responsibilities: Contribute to a New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a … improve data pipelines, ensuring data quality and integrity. Requirements : Bachelors or Masters degree in a STEM field (e.g. Computer Science, Mathematics, Engineering). 0.53 years of experience in machine learning engineering or research. Strong coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks 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 ❯

Join to apply for the Machine Learning Engineer role at Baringa Join to apply for the Machine Learning Engineer role at Baringa Get AI-powered advice on this job and more exclusive features. About Baringa: We set out to build the worlds most trusted consulting firm creating lasting impact for clients and … Find us wherever there's a challenge to be tackled and an impact to be made. Our SAIL (Solutions and AI Lab) practice are 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 … also responsible to support the growth of our team, helping them to build the skills they need to solve our clients challenges. Typical engagements include: Defining and implementing Machine Learning projects over the full lifecycle, from conception to data preparation, model engineering, evaluation and deployment and finally model monitoring and maintenance Establishing and developing ML Ops More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive More ❯

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive 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 ❯

EDA) to uncover patterns and trends relevant to legal and business questions. Develop well-documented Python scripts and notebooks for reproducible analysis and insights. Help build and test machine learning pipelines in alignment with the firm's Azure-based architecture. Use Power BI or other data visualisation tools to support storytelling and insight … delivery. Follow best practices in code versioning using Azure DevOps and assist in maintaining collaborative code repositories. Support the testing and monitoring of deployed models to ensure performance and compliance with ethical and legal standards. Participate in knowledge sharing, training, and documentation to support data literacy across the firm. About You Educational Background & Professional Experience: Bachelor's … analysis, including use of key libraries (e.g. Pandas, NumPy, Scikit-learn, Matplotlib). Good working knowledge of SQL for querying and transforming structured data. Basic understanding of common machine learning techniques and ability to implement them in Python. Exposure to Azure ecosystem (e.g., Azure Machine Learning 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 ❯

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 ❯

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 ❯

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 ❯

and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality assurance on models, ensuring robustness, explainability, and compliance with standards. Collaborate effectively with both upstream and downstream engineering sprint … Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning … required and an MSc considered advantageous. Experienced in using machine learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on 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 ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others, and foster a culture of collaboration and growth. As the sparring partner … fit if you bring some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machine learning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership in agile environments, strong … are a growing team committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm dedicated to sustainable change and More ❯

successful delivery. We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value … Use existing course material and Coding Black Females systems to support lesson objectives and prepare for sessions. We typically use tools such as Google Docs, Zoom, and a Learning Management System (LMS). Review the curriculum ahead of each session to familiarise yourself with the content and prepare to meet learners' needs. Provide regular updates to the Lead … Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression, Classification, Clustering, Decision Trees, SVMs, Neural Networks) Model Evaluation and More ❯

stack, leveraging modern day cloud services, and driving CI/CD & automation practices. The ideal candidate should have a strong experience in DevOps and AIOps practices, including deploying Azure infrastructure services following best practises, with a strong focus on containerisation, analytics, virtual networking and serverless computing. Key Responsibilities/Accountabilities: As anAIOps Engineer, you will be responsible … focus on alignment to enterprise architecture for our Data Science & AI capabilities. Responsible for the implementation and management of secured, highly scalable, performance efficient, modernised infrastructure across our Azure cloud platforms supporting our Data Science and AI toolset. Automate infrastructure provisioning, configuration, and deployment processes, with CI/CD principles a strong focus area. Support and Enhance … performance and deliver proactive maintenance improvements. Ensure Security and Compliance of our infrastructure and Solutions, including a focus on Vulnerability Management & Maintenance. Knowledge and Experience: Strong experience implementing Azure Infrastructure Services in accordance with best practises. Strong experience in automation levering scripting languages such as JSON, Bicep, Yaml, Python, Terraform, Ansible and PowerShell. Proven understanding in Containerisation 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 ❯