1 to 25 of 60 Azure Machine Learning Jobs in the UK

Exciting new Senior Machine Learning Operations Engineer position for a fast growing personal lines Insurance company. This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning … deputising. Candidates do not need previous management/leadership/senior experience. A few key areas of focus on the role: Strong Machine Learning experience (not Data Science). Could be from a Data Engineering background. LLM Model deployment CI/CD Pricing Must have strong ...

AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role … experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance ...

AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role … experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance ...

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 … 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 ...

roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, real-time inference). Deep Learning & Modeling: Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch, pushing … prototypes suitable for mission-critical production deployment. 2. MLOps & Production Engineering Excellence MLOps Leadership: Establish and enforce industry-leading best practices for MLOps (Machine Learning Operations), ensuring automation, reproducibility, version control, and continuous integration/continuous delivery (CI/CD) for all models. Architecture Review: Personally ...

roadmap for the AI platform, prioritizing projects that solve critical, high-complexity technical challenges (e.g., model efficiency, interpretability, real-time inference). Deep Learning & Modeling: Lead the design, implementation, and optimization of advanced deep learning, Generative AI, and Reinforcement Learning models from scratch, pushing … prototypes suitable for mission-critical production deployment. 2. MLOps & Production Engineering Excellence MLOps Leadership: Establish and enforce industry-leading best practices for MLOps (Machine Learning Operations), ensuring automation, reproducibility, version control, and continuous integration/continuous delivery (CI/CD) for all models. Architecture Review: Personally ...

technology to build quality and innovative software solutions, including .NET 8, C# 12 and Vue.js. Design and implement AI-driven solutions using Microsoft Azure AI Services, and modern frameworks to integrate generative AI into internal applications such as chatbots and intelligent automation tools. Work with Azure … working by attending stand-up’s, sprint reviews, retrospectives, and design and planning sessions. Work with the latest infrastructure offered by Microsoft Azure to implement your solutions, utilising CI/CD pipelines and infrastructure as code. Research new tools and techniques and challenge the status quo. ...

data, and are now looking to hire a Senior AI/ML Engineer to play a key role in building and productionising machine learning solutions that deliver real commercial impact. This is a hands‐on senior engineering role with strong ownership across … teams. The Role: Design, build and maintain scalable, end‐to‐end AI/ML pipelines using Microsoft Fabric Develop, train, deploy and monitor machine learning and deep learning models Implement MLOps best practices including versioned data and features, CI/CD pipelines , model promotion ...

Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced … Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure ...

science and open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. … Knowledge of cloud architecture, data engineering, and security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. •Excellent communication and stakeholder management skills Key Responsibilities: •Team Leadership & Management •Manage ...

science and open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. … Knowledge of cloud architecture, data engineering, and security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. •Excellent communication and stakeholder management skills Key Responsibilities: •Team Leadership & Management •Manage ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. The role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented ML Ops Engineer … decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management ...

because of our people. Technical Expertise: Proven experience in data science leadership roles with team management. Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. … Knowledge of cloud architecture, data engineering, and security best practices. Design and implement ML pipelines on Azure Machine Learning. Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. Excellent communication and stakeholder management skills Key Responsibilities: Team Leadership & Management Manage ...

because of our people. Technical Expertise: Proven experience in data science leadership roles with team management. Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. … Knowledge of cloud architecture, data engineering, and security best practices. Design and implement ML pipelines on Azure Machine Learning. Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. Excellent communication and stakeholder management skills Key Responsibilities: Team Leadership & Management Manage ...

services and solutions. DXC Technology is recognized among the best corporate citizens globally. About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team. Youll play a key role in designing, developing, and deploying scalable ML solutions across a variety … work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize ...

practical, high-impact solutions that improve decision-making and operational efficiency. This role combines strategic vision with practical development and line management, ensuring machine learning and advanced analytics are embedded into the RNLIs digital transformation. Your role Our Lead Data Scientist will set the direction … data science at the RNLI while remaining deeply involved in delivery. This role identifies opportunities for advanced analytics, machine learning, and AI, shapes the roadmap, and ensures solutions are deployed into real-world environments. It requires curiosity, technical depth, and the ability to influence stakeholders while ...

build its first generation of AI capabilities. This is a rare greenfield opportunity to architect and deliver AI solutions using the latest Azure and LLM technologies while shaping how AI is adopted across the business. The Role Working directly with the Head of AI, you will design … through early AI adoption. Key Responsibilities Build and operationalise AI/LLM solutions using Azure AI , Azure Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval ...

build its first generation of AI capabilities. This is a rare greenfield opportunity to architect and deliver AI solutions using the latest Azure and LLM technologies while shaping how AI is adopted across the business. The Role Working directly with the Head of AI, you will design … through early AI adoption. Key Responsibilities Build and operationalise AI/LLM solutions using Azure AI , Azure Machine Learning , and the wider Microsoft ecosystem. Develop agentic workflows using frameworks such as Autogen, Swarm, or LangGraph. Design and implement RAG (Retrieval ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days … week. As an AI Engineer, youll be responsible for designing, developing, and deploying AI and Machine Learning solutions that directly support and enhance operational efficiency across our clients business. Working with our clients Information Systems team, youll collaborate with software engineers, data scientists, and business stakeholders ...

expanding client base. They are providing the utmost level of quality and security in everything they do. Key Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure … adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation ...

expanding client base. They are providing the utmost level of quality and security in everything they do. Key Responsibilities Design, build, and maintain Azure Data Factory (ADF) pipelines to support complex data integration and transformation needs. Develop scalable and optimised data models in Azure … adoption strategy. Git/Azure DevOps: Skilled in version control, release management, and CI/CD. Azure Machine Learning (Desirable): Experience applying or integrating ML models to enhance analytics. ChatGPT/Copilot Integrations (Desirable): Experience leveraging AI for data automation ...

analytics, cloud engineering, and compassionate innovation, helping shape the future of care intelligence. What You’ll Do Develop and maintain data pipelines across Azure services, including Azure Data Factory, Synapse Analytics, Fabric, and Data Lake Support the design and implementation of benchmarking methodologies using … hundreds of care homes Contribute to the development and deployment of predictive models (e.g., fall prediction, infection risk) using Azure Machine Learning Work with developers and product teams to integrate ML outputs into dashboards, APIs, and customer-facing tools Perform data exploration, cleaning ...

timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality … Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions ...

timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality … Projects You Work On Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions ...

analytics • Ingesting financial, operational, and third-party data from APIs into scalable storage layers • Developing dbt transformations and ELT workflows for analytics and machine learning • Orchestrating workloads using Airflow and modern CI/CD practices • Supporting model execution environments, including Azure ML Studio … modern Azure environment • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python) • Modelling data for analytics, BI, forecasting, and machine learning use cases • Optimising data architectures for performance, cost, and reliability • Working closely with data scientists, software engineers, and investment teams • Troubleshooting ...