1 to 25 of 275 Remote Azure Machine Learning Jobs

or educational references covering five years & Satisfactory credit check. If you have any questions or require further assistance, please email Job profile for Machine Learning Operations Engineer Machine Learning Operations Engineer location_on London 27/06/2025 Machine Learning Operations Engineer Apply online The job requirements are detailed below. Where applicable the skills, qualifications and memberships required for this job have also been included.As disability confident committed, we will support all applicants throughout the recruitment process. Each stage of the process is inclusive and … hours 36.25 Basis Full time Job category/type - XPS Pensions Date posted 19/05/2025 Job reference REQ002946 Job description Machine Learning Operations Engineer Senior Associate London Hybrid Full Time Permanent Ref:002946 XPS Group is a leading UK consulting and administration business More ❯

We’ve won awards. Are you looking to advance your career in a dynamic and fast-paced environment? We’re seeking an AI & Machine Learning Engineer to join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you … implement them within an Agile framework. Technical Proficiency: You’ll be able to build models and AI Agents in tools such as Microsoft Azure, Data Bricks, Azure Open AI, and using prompt engineering. Collaborative Communication: You’ll possess strong collaboration and communication skills to … within Azure. Familiarity with Docker and Kubernetes is advantageous. Experience within financial/insurance services industry is advantageous. Skills: Strong understanding of Microsoft Azure and Databricks (Azure ML, Azure Open AI, Azure Stream Analytics, Cognitive services, Event Hubs 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 … 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 … 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 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 … 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 … 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 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 … 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 … 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 More ❯

Machine Learning Engineer - SaaS - London (Tech stack: Machine Learning Engineer, Python, TensorFlow, PyTorch, scikit-learn, Keras, Natural Language Processing (NLP), Hugging Face Transformers, Pandas, NumPy, Jupyter Notebooks, Matplotlib, Seaborn, Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker … Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to collaborate with … reshaping the landscape of AI, offering innovative models that exceed current industry benchmarks. Come aboard our team and help shape the future of machine learning and AI. Our client is looking for passionate Machine Learning Engineer candidates with experience in some or More ❯

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 Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure … 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 More ❯

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 … 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 More ❯

Senior Machine Learning Engineer Birmingham/Fully Remote Salary up to £85,000 per annum An exciting opportunity has arisen to join a well known, global organisation within the assurance space. As the new Machine Learning Engineer, you would join a well … established team, take on some cutting edge projects and be given plenty of autonomy and flexibility. Key Responsibilties: Design and implement machine learning systems using Azure Machine Learning and OpenAI API Optimize model performance across Azure and Databricks platforms. Deploy and monitor scalable machine learning models in production environments. Develop APIs and services for Real Time data processing and inference. Work in a cross-functional team to integrate machine learning solutions with existing company systems More ❯

Senior Machine Learning Operations Engineer Join to apply for the Senior Machine Learning Operations Engineer role at 1st Central . Job Overview We are seeking experienced Senior Machine Learning Operation Engineers to join our Data Function. In this … Development teams. Manage the full lifecycle of machine learning models, including deployment and monitoring. Qualifications Strong understanding of Microsoft Azure services (Azure ML, Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory). Proficiency in data science coding languages such … to offices in Salford Quays, Manchester , Haywards Heath, West Sussex , or Guernsey . Remote (UK-based) applications are also welcome. Core Skills Microsoft Azure expertise Data science coding skills (Python, frameworks) Application of MLOps frameworks Strong communication and organizational skills #J-18808-Ljbffr More ❯

research and development (R&D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will … demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to … or time-sensitive environments. Document technical designs, algorithm specifications, and software processes to support mission continuity and compliance. Stay current with advancements in machine learning, SIGINT, and GEOINT technologies to inform R&D efforts. Basic Qualifications Bachelor’s degree with 8+ years related experience or Master More ❯

Social network you want to login/join with: 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 … of our team, helping them to build the skills they need to solve our client’s 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 … our clients and get hands on in technical delivery to bring a solution to life. Passionate person who is excited by problems within machine learning and can bring a good mix of technical delivery and core consulting skills in client engagements Advanced degree in computer science 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 … 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 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 … 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 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 … 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 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 … 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 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 … 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 More ❯

offer hybrid working policy Job Purpose Reporting to the Lead Data Scientist, the Data Scientist will be responsible for developing, implementing, and optimising machine learning and advanced analytics solutions to support decision-making across NGED. This role involves collaborating with data engineers, insight analysts, and key … value from data, ensuring that AI and predictive models align with business goals and operational needs. The Data Scientist will apply statistical and machine learning techniques to develop high-quality models, automate data-driven processes, and provide actionable insights. They will work within cloud environments and … principles, best practices in model governance, and a data-driven culture are embedded across the business. What You'll Do Develop and deploy machine learning models and AI solutions that address business challenges and improve operational efficiencies. Collaborate with data engineers and insight analysts to build More ❯

PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimisation opportunities in design and engineering. Born out of numerical physics and proven in Formula One, we help our customers radically … the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic machine learning software engineer to join our research team. If all of this sounds exciting to you, we would love to talk. Note … our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems. Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain. Transform prototype model implementations to robust and optimised implementations. More ❯

Data Science & AI Centre of Excellence within our Digital Products team. We are looking for expertise in Python and Azure Machine Learning to develop data-driven solutions to address business challenges and create innovative digital products. The role is commercially focused and you … hybrid working and the expectation is to be in office two days per week. How you'll make an impact Develop and implement machine learning models using Python and Azure Machine Learning. Migrate and operationalise models for flood, quake, climate, and … hurricane predictions. Support the development of our Cyber Technographic Insight Discovery Engine (TIDE). Utilise classical machine learning techniques to build explainable models. Contribute to our AI strategy and enhance internal data science capabilities. Collaborate with cross-functional teams to drive data-driven innovation. Write well More ❯

the utmost level of quality and security in everything they do. The Role We are seeking a Senior Data Engineer to join our Azure-native data team in a leading UK financial services firm. This role is key to maintaining and evolving our data platform, supporting both … Factory (ADF) pipelines, working with SQL Server (designing and populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future … Management: Advanced knowledge of SQL for querying, transforming, and managing data, with hands-on experience in SQL Management Studio. Azure Machine Learning: Some experience desirable in implementing machine learning models within Azure Machine Learning More ❯

Experienced Global Talent Acquisition Partner covering Tech & Digital Machine Learning & AI Engineering Lead | London (Hybrid) Join Mars on a mission to use data and AI to shape a better world—for people and pets alike. We’re looking for a “ Machine Learning … global business. Why this role matters: At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By … it’s in CPG, retail, or health) Passion for engineering & strong track record of delivering data-driven solutions that stick Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD A strategic, problem-solving mindset and effective communication skills A passion for collaboration, coaching, and continuous learning More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You’ll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team’s products … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You'll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team's products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯

hands-on, working with our Senior Staff Engineer to provide technical leadership to the team. You’ll have great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning … our experienced MLOps and Data Engineering teams, allowing you more time to focus on model development, research and the implementation of new novel machine learning approaches. Key Responsibilities: Lead the Valuations & Pricing Team ensuring the on-going improvements in KPIs associated with the team’s products. … agreeing priorities with stakeholders and the Head of Data Science and enable the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with More ❯