15 of 15 Remote Azure Machine Learning Jobs in the UK

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key … Skills & Experience Model development: 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. Machine Learning Operations: 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 of model drifts, data-quality alerts, scheduled r-training pipelines. Data More ❯

Azure ML Ops & Databricks Your responsibilities: Data Analysis & Modeling: Utilize Python for advanced data analysis, exploration, and processing to uncover actionable insights. Develop and implement machine learning models and algorithms using Python , Azure Machine Learning , and Databricks . ML Ops & Deployment: Manage and optimize ML Ops … and validation processes. Platform Expertise: Utilize Databricks for advanced data processing and analytics, ensuring scalability and performance. Continuous Improvement: Stay updated with the latest advancements in data science, machine learning, and cloud technologies to apply best practices. Domain Knowledge: Preferable experience in relevant domain(s) to enhance solution accuracy and business impact. Your Profile Strong proficiency … in Python for data analysis and machine learning. Hands-on experience with Azure Machine Learning , ML Ops , and Databricks . Solid understanding of machine learning algorithms, data modeling, and statistical techniques. Experience in managing large-scale data sets and building scalable solutions. Knowledge of data governance and More ❯

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50. Following a … a strong benefits package. The position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly … . A test-driven development mindset and commitment to engineering quality. Broad understanding of ML approaches, with the ability to explain methods clearly: Regression, clustering, decision trees, reinforcement learning Gradient boosting, CNNs, RNNs, LSTMs Attention models, encoder/decoder architectures, transformers, vector semantics Demonstrable experience developing GenAI applications in real-world settings. The confidence to communicate complex technical More ❯

Junior Software Developer - .NET/C#/React.js/Vue.js/AI & Machine Learning C#, .NET, React.js, Vue.js, AI/ML Salary up to £35k Hybrid - 2 days a week on-site in the North-West For more information, please email directly at or call Who We Are: We're a well-established engineering team with … .NET, C#, Vue.js, and modern Azure-based tooling. Build intelligent, AI-driven features using Azure AI Services and Azure Machine Learning, including chatbots, automation tools, and predictive models. Contribute to greenfield development, ongoing improvements, and the evolution of existing platforms within an Agile squad. Deploy and maintain … code, and cloud-first best practices. Research emerging technologies and bring forward innovative ideas to improve how we work. What You'll Bring: A strong interest in AI, machine learning, and emerging technologies, paired with enthusiasm for full-stack, cloud-first development. Experience with or a desire to work with modern JavaScript frameworks alongside a passion More ❯

insightful analytics, and drive intelligent decision-making across the business. You'll work closely with stakeholders to uncover challenges, identify opportunities, and deliver actionable, measurable solutions through advanced machine learning models, statistical methods, and high-performance data pipelines. Skills & Experience Required To be considered, you will need: Strong proficiency in Python and key libraries (pandas, scikit … learn, TensorFlow, PyStats). A solid understanding of machine learning techniques and real-world … performance trade-offs. Experience building and maintaining end-to-end machine learning applications. Hands-on experience with Azure cloud technologies: Synapse, Fabric, AzureML, ADX, ADF, Azure Data Lake Storage, Event Hubs. Experience with visualisation tools such as Power BI and Streamlit. Familiarity with Parquet and Delta Parquet formats. Strong data More ❯

AI Engineer with either Python Java or C++ is required by a large Global Law Firm Main Responsibilities: Design, develop, and deploy AI and machine learning models. Analyse large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate AI solutions into products and services. Optimize AI models for performance, scalability, and … the latest AI research and technologies. Document AI workflows, models, and system architecture. Skills & Qualifications Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning frameworks (eg, PyTorch (preferred), TensorFlow, Scikit-learn). Experience with data processing tools and cloud platforms (eg, Azure, GCP, AWS). Knowledge of … deep learning, NLP, and computer vision techniques, including experience with Microsoft Copilot or OpenAI APIs. Familiarity with MLOps practices using tools like Azure ML Pipelines, MLflow, Docker, and Kubernetes. Excellent problem-solving and analytical skills. Bachelor's or master's degree in Computer Science, AI, Data Science, or a related field. Additional Details Occasional travel More ❯

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working) £72,000-£80,000 Duties As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure … data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and … a Data Engineer or similar role. 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. Excellent problem-solving and analytical skills and strong communication and More ❯

data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines … designing, developing and implementing Databricks solutions Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and … teamwork skills. Passion for data and a thirst for learning and is either already a Databricks champion or working towards it Relevant Architecture certifications from Mircosft and Databricks More ❯

Senior AI Developer/Advanced Data Scientist (Contract) - LLMs, Agentic Workflows, Azure AI Foundry Location: Remote (UK/US or LATAM preferred) Engagement: Contract/Fractional (long-term potential) Start: Immediate Client: Boutique AI & Data Science Consultancy Sector: Cross-industry (sector agnostic) About the Opportunity We are supporting a specialist consulting firm that delivers advanced AI, data … Advanced Data Scientist You will lead AI/ML development across client engagements, focusing in particular on LLM-driven applications, agentic workflows, and chatbot or automation systems using Azure AI Foundry. The role is ideal for someone who is both: Highly skilled in modern AI techniques (LLMs, agents, RAG, retrieval pipelines), and Comfortable with traditional data science … agent-based automation workflows Build and deploy chatbots and conversational AI systems Implement solutions using Azure AI Foundry and Azure OpenAI Apply machine learning and forecasting techniques to business problems Contribute to solution design and technical best practices Work closely with a senior technical team across varied industry projects Ideal More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

Senior Data Engineer Azure, Power BI, ADF, Synapse Salary: £60,000£70,000 + excellent benefits Location: Birmingham or London (12 days per month in office) Employment: Full time Join a leading and growing UK financial services company as a Senior Data Engineer, taking ownership of enterprise-grade Azure data solutions and advanced Power … a high-impact role for an experienced data engineer who wants technical leadership, architectural influence, and the chance to shape a modern cloud-based data platform built on Azure Data Factory, Synapse, Data Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data … and stakeholder engagement. Demonstrated mentoring or technical leadership experience. Desirable: Exposure to Microsoft Fabric . Experience with AI/automation tools (Copilot, ChatGPT) or Azure Machine Learning. Experience working in financial services or another regulated industry . Why Apply? Senior, high-responsibility role with architectural influence. Modern Azure stack with Fabric adoption More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

and secure AI service architectures. Required Experience/Skills: Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics More ❯

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Mainly Remote Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who … complex, Global products. Read on for more details... Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog More ❯

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone … complex, Global products. Read on for more details Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog More ❯