22 of 22 Remote Azure Machine Learning Jobs in the UK

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 ❯

on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills and broaden into wider Azure … analytics capabilities, building a long career here at BCN Group within a growing and exciting innovation technology team. Our people have three things in common: a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning … Actions, and Fabric/Power BI to ensure solutions are observable, governed, and production-ready. This is an exciting opportunity to develop new capabilities and establish industry-leading machine-learning practices that drive measurable outcomes for our clients. Responsibilities: Work directly with business stakeholders to conceive, design and deliver end-to-end machine learning More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact … on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate … in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a … expand our AI programmes. What you'll be doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI … curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a … expand our AI programmes. What you'll be doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI … curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. More ❯

SC Clearance No sponsorship can be offered As a Microsoft AI Developer/Engineer, you would be driving the development, designs and deployments of AI solutions with .NET, Azure AI services, and Microsoft Copilot. Working in collaboration with the team to create intelligent applications that enhance user experiences, automate processes, and drive business impact. Key … Responsibilities: Develop AI-powered applications and services using .NET technologies. Design and implement solutions using Azure AI services including Cognitive Services, Azure Machine Learning, and Bot Services. Integrate Microsoft Copilot capabilities into applications to enhance productivity and automation. Collaborate with stakeholders to understand business requirements and translate them into AI … Microsoft AI technologies and industry trends to continuously improve solutions. Required Skills & Experience: Strong experience in .NET development (C#) and building enterprise-grade applications. Hands-on experience with Azure AI services (Cognitive Services, Azure ML, Bot Services, LUIS, etc.). Familiarity with Microsoft Copilot integration and automation capabilities. Solid understanding of AI/ML More ❯

Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About 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 OPS Engineer to join our growing teams … engineering and contribute to architectural 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 and CI/CD best practices … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to 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 and deploy models using tools … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You'll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency More ❯

gaming and film create and interact with 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform … and practices in a fast-moving startup environment. The role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents … 6+ years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI More ❯

degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial More ❯

/Pre-Sales Architect/SaaS Sales Engineer/Cloud Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR More ❯

Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

Data Solution Architect - Conceptual Data Models, Data Vault 2.0, Azure Up to £800 per day (Inside IR35) London/Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Solution Architect with expertise in Conceptual Data Modelling, Solution Architecture specifically within Data, exceptional stakeholder management skills and experience of implementing Data … working on large, complex Data Programmes Strong experience of Conceptual Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

datasets and self-service analytics across teams. Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications … yourself or your community Cycle-to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We More ❯