1 to 25 of 47 Permanent Azure Machine Learning Jobs in London

annuities sector. Package Details Remote (UK) | £45,000-£60,000 + 6% bonus Main Duties and Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using **LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning** to deliver real-world business impact.**If you're passionate about shaping … create measurable business value at scale.This role combines **technical leadership, people leadership, and strategic execution**. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems.The ideal candidate ...

+ Bonus + Car Allowance This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial … well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes. Their analytics community brings together Data Scientists, Analysts ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping … create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate ...

opportunity to help shape how enterprise AI is adopted across a global organisation. You'll be responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers … they’re adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration ...

four consecutive years as one of the World’s Best Management Consulting Firms. Our Solutions and AI Lab Team are looking for experienced Machine Learning Engineers to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some … case study to see how we accelerated low-carbon device roll-outs for the UK. What you will be doing 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 ...

grade AI products that solve complex, document-centric business challenges. You will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. … management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure ...

Allowance + Bonus London(Hybrid – 2x Days a Week in Office) If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK's strongest data … This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues ...

Design, develop, and implement AI solutions using Microsoft AI technologies, including Azure OpenAI, LLMs/SLMs, Azure Machine Learning, Azure Foundry, Cognitive Services, and Azure AI Document Intelligence Work closely with clients to understand … Master’s degree in a relevant field; a PhD in AI or a related discipline would be advantageous Proven experience in AI, Machine Learning, Generative AI, or Data Science, with expertise in Microsoft AI technologies Hands‐on experience with Azure OpenAI, LLMs, Azure ...

organisation, responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability, and scalability standards. The successful candidate will lead end-to-end AI/… They will work closely with cross-functional teams including data engineering, infrastructure, DevOps, and product management to translate business needs into robust, reusable machine learning architectures. Key Responsibilities Design and deploy large-scale machine learning systems into production using modern engineering practices ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

phases or proof‐of‐concept work. Support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services (e.g., Azure OpenAI, Azure AI Search). Ensure robust MLOps practices are followed, including model … deployed solutions. Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search. Experience managing or leading technical delivery teams, with a track record of fostering ...

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a Microsoft AI Engineer/Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance team The AI Security Engineer … AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Your role will focus ...

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a Microsoft AI Engineer/Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance team The AI Security Engineer … AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Your role will focus ...

practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/… scale. Strong opinions on secure, resilient enterprise deployment of LLM‐powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End‐to‐end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. ...

data integration and relational platforms* Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security.**AI Strategy & Adoption*** AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products.* AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

data integration and relational platforms Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … champion architectural blueprints, design patterns, and engineering excellence standards. AI Strategy & Adoption AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products. AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

Experience running technical design workshops with senior client stakeholders and multi‐vendor delivery teams. Certifications NVIDIA certifications (NCP‐AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF 9/10 or equivalent enterprise architecture certification — beneficial. Adjacent Technical Skills (Beneficial, Not Required) Depth in the specialist area above is mandatory. Experience ...

easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment Demonstrated ability to lead ...

knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable throughout … MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data‐intensive systems. Strong programming skills and production experience in Python. Expertise in Azure‐native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Clear evidence of practical experience across the following: Deploying, scaling, and troubleshooting ...

/HybridJob Type: FTEWe are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry. This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple … with Azure AI Search (vector and hybrid search), Azure AI Document Intelligence, and Azure Machine Learning.Ability to wire these services together into coherent, production-ready architectures not just run individual demos.Understanding of Azure security and identity ...

regulated industriesIn addition to these core skills, you should have specialist experience in 2 or more of the following technologies:AzureWorking on Microsoft Azure PaaS and IaaS, specifically: App Services, Azure SQL Database, SQL Server, Storage, Synapse Analytics, Purview, Databricks, Azure … Data Lake Storage and other Azure services.Ability 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.Be ...

project, you'll also contribute to modern data and AI solutions including: Python automation SQL development Data engineering AI-enabled applications Machine Learning platforms Large Language Model integrations Intelligent workflow automation Consulting & Client Engagement This is what makes the role unique. As an Associate Consultant … support to develop both their technical and consulting capabilities. Typical development opportunities include: AWS Certifications Microsoft Azure Certifications AI & Machine Learning training Client workshops Presentation coaching Solution architecture exposure Technical leadership mentoring ...