1 to 25 of 34 Remote/Hybrid Azure Machine Learning Jobs in the UK

Position Overview We are looking for a highly skilled Senior AI Software Engineer/AI Model Specialist with deep expertise in artificial intelligence, machine learning, and modern software development. The successful candidate will be responsible for designing, developing, training, testing, and optimizing AI models and intelligent … Technologies PyTorch TensorFlow Scikit-learn LangChain Hugging Face OpenAI and Azure OpenAI Services Vector Databases Docker Kubernetes Cloud Platforms Microsoft Azure Azure AI Services Azure Machine Learning AWS or Google Cloud (advantage) Development Practices ...

Senior Machine Learning Engineer (Maternity Leave Cover) Department: Platform Delivery Employment Type: Fixed Term - Full Time Location: London Description The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group … Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. The Machine Learning Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML ...

data and AI? This is an opportunity to join a growing team at a pivotal stage in its transformation, helping to build scalable machine learning solutions that drive real commercial outcomes. You'll work closely with senior stakeholders and play a key role in shaping … modern Data Science function focused on delivering measurable business value. The team is moving beyond ad hoc analytics towards scalable, production-ready machine learning solutions. Data is at the heart of strategic decision-making, creating an exciting environment for a commercially minded Data Scientist to make ...

landscape. As an Associate Director Data Scientist in our growing Data & AI team, you’ll lead the design and delivery of advanced analytics, machine learning and Generative AI solutions, turning complex business and tax challenges into scalable, production-ready products and services. The role combines hands … concepts and scalable production solutions Oversee the processing, cleansing and validation of data used for analysis, modelling and automation Apply advanced statistical modelling, machine learning, deep learning and Generative AI techniques to classify, predict and generate insight from tax and legal data Take ownership ...

customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development … governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry. Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection … feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale ...

capability and adoption across the organisation. Hands-On Engineering Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps … Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience ...

meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems for our clients. Working alongside senior data scientists, engineers, and consultants, you will contribute … design and implementation of data science and AI solutions, translating defined requirements into working technical components. Modelling & Analysis: Apply established data science and machine learning techniques to analyse data and solve business problems under the guidance of senior team members. Production & MLOps: Build, test, and help ...

meet diverse business needs Job Description As a Senior AI Engineer, you will play a key role in building, deploying, and maintaining machine learning and AI solutions that solve real business problems for our clients. Working alongside senior data scientists, engineers, and consultants, you will contribute … design and implementation of data science and AI solutions, translating defined requirements into working technical components. Modelling & Analysis: Apply established data science and machine learning techniques to analyse data and solve business problems under the guidance of senior team members. Production & MLOps: Build, test, and help ...

deployment of predictive models that feed into Hastings’ market‐leading pricing activities. This role is within a team of Data Scientists championing machine learning (ML) techniques to improve predictive performance using vast amounts of customer information. Accountabilities Develop and support predictive models to assess insurance risk … outcomes. Skills, Knowledge & Experience – Essential Experience building and evaluating predictive models such as linear and gradient boosted models. Proficiency using Python and appropriate machine‐learning libraries. Proficiency in SQL, including preparing and transforming data for predictive modelling. Basic knowledge of Git or other code version control ...

align with best practice. Deliver secure and compliant AI engagements: leveraging Agent 365, Azure OpenAI, Azure Machine Learning, and Microsoft Cognitive Services tailored to client business needs. Monitor evolving: data privacy and AI compliance regulations (e.g., GDPR, AI Act, HIPAA … presentation skills to translate technical capabilities into business value. Preferred Certifications: Microsoft Certified: Information Protection and Compliance Administrator Associate (SC-400) Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Cybersecurity Architect Expert (SC-100) Key Traits & Competencies: Strategic Thinking: Ability to develop long-term Data ...

build and deploy AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Azure Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric … Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity), Azure Synapse ...

Principal Solution Architect, Microsoft Azure About the role As a Principal Solution Architect, you will make an impact by shaping enterprise-scale modernization strategies and translating complex business priorities into secure, scalable, and integrated Microsoft Azure solutions. You will be a valued member … Data & AI services including Azure Synapse Analytics, Azure Databricks, Azure Data Lake, machine learning, and applied AI solutions. Experience delivering hybrid and multi-cloud architectures in large enterprise environments. We're excited to meet people ...

working.Contribute to and help establish best-practice standards for modelling, software development, testing, documentation and deployment.Skills, Knowledge & ExperienceEssentialDeep understanding of predictive modelling and machine learning techniques, including linear and gradient boosted models.Demonstrable experience delivering data science solutions that have influenced business decisions and generated measurable commercial … complex analytical concepts clearly.Experience working collaboratively across multi-disciplinary teams.Experience reviewing the technical work of other data scientists.DesirableExperience using Azure Machine Learning Studio or similar cloud-based ML platforms.Experience using Snowflake or similar cloud-based data platforms.Experience leading, supporting, and mentoring junior colleagues.Experience ...

Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such … Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience ...

insights.* 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.* Azure Data … data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze ...

tools. Experience with Infrastructure as Code such as OpenTofu (preferred) or Terraform Experience of deploying workloads to, and consuming cloud platform resources (Microsoft Azure preferred). Substantial experience supporting the build and deployment of, or coding in one or more of the following or equivalent: Python .Net … Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides (opens in a new window). Unlimited Pluralsight video learning access Access to Microsofts ESI training suite Hybrid working with no core hours Substantial support for career progression 25 days annual leave moving ...

analytics tools. Developing and enhancing data collection procedures to include information that is relevant for building analytic systems, utilising tools such as WhereScape, Azure Synapse, Snowflake, AWS Redshift. Monitoring performance and advising any necessary infrastructure changes, utilising BI tools such as Qlik Sense Cloud … Power BI, or Tableau, as well as the AI, ML, and NL tools available in Fabric. This includes leveraging Azure Machine Learning for predictive analytics. Preparing ad-hoc analysis and presenting results in a clear manner Work with stakeholders and business analysts ...

e.g., MSc, PhD) in AI, Machine Learning, or Data Science are advantageous. Relevant certifications in cloud platforms (e.g., Microsoft Azure, Google Cloud Platform) and AI/ML engineering (e.g., TensorFlow Developer, Azure AI Engineer Associate) are desirable. Demonstrated commitment … secure, and modular AI systems, including LLM services, agentic workflows, and RAG pipelines. Advanced proficiency in building and deploying AI solutions on Microsoft Azure and Google Cloud Platform (GCP). Strong understanding of secure coding practices, encryption, access control, and auditability in AI systems. Skilled in implementing ...

around you, helping to shape career paths and working generously to share your own expertise and learning. You enjoy working closely with customers, learning of their needs, and translating these to features. You are confident operating to agile principles and will thrive on collaborating with technical minds across … through Presentations: Share expertise and insights with the team or the wider organization through presentations, which helps in spreading knowledge and encouraging a learning culture within the organization. Encoding Knowledge in Libraries and Tools for Wider Use: Create reusable code libraries or tools that can be utilized across ...

with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON, and XML Experience with cloud platforms, particularly Azure or AWS Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using … processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs Experience with deployment tools and processes, such as Azure Data Factory ...

Engineer## **About the Role****Lead AI Engineer** We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding … teams to execute complex requirements* Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS.* Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible.* Collaborating with Product ...

your priorities – work/life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden. Senior Platform Engineer - Azure Data & AI Platform The Role We are looking for senior platform engineers to build and operate our Azure-based data … Offer Actual flexibility: Remote‐first with occasional in‐office travel for workshops/planning. We care about outcomes, not seat time. Real learning budget: for conferences, training, certifications. We expect you to use it. Tooling: You'll get the equipment and licenses you need ...

interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging … committee: chairing review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML ...

governance or AI assurance would be beneficial, particularly around training data quality, provenance, bias, model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML ...