1 to 25 of 48 Permanent Azure Machine Learning Jobs in London

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 ...

spirit, cohesion, and appreciation -and through our talented people, innovative culture, and technical and businessexpertise, 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 … 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 ...

Machine Learning Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Compensation: £50,000 - £70,000/year Description In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core … deployment, embedding ethical and regulatory considerations into every stage of development. Skills, Knowledge & Expertise Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical field – or equivalent practical experience. 3+ years of professional experience as an ML Engineer, or related role. ...

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 ...

Placed at the heart of Gensler’s People + Process + Technology, the Global Design Technology Studio is advancing a growing data and machine learning foundation that is shaping how the firm designs and delivers its work for generations to come. We believe that when … value for clients, and create built environments that are more responsive, more meaningful, and more impactful than ever before. In the role of Machine Learning Engineer, you will drive and operationalize machine learning across AEC data domains including BIM, geospatial, design-performance ...

Machine Learning Engineer - Client facing - 12 months FTC Department: Project Delivery Employment Type: Permanent - 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 This is a 12 months contract with potential to become a perm role afterwards. Key Responsibilities Machine learning and AI engineering Design, train and optimise predictive models ...

Data Factory pipelines, datasets, linked services, triggers; Azure Databricks (Spark jobs, notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure … Azure Data Factory (pipelines, triggers, parameterization, monitoring); Azure Databricks (Spark, notebooks, job orchestration); Azure Machine Learning (pipelines, model deployment, monitoring); Power BI Service (dataset refreshes, access control, report diagnostics). DevOps & Automation – CI/CD using Azure ...

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 Engineers responsible for building and operationalising advanced machine learning and AI. This is a 12 months … contract with potential to become a perm role afterwards. Machine learning and AI engineering Design, train and optimise predictive models (gradient boosted trees, temporal and embedding-based models), with reproducible training, evaluation and monitoring pipelines. Productionise models to run reliably at scale in client environments. Build ...

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 ...

Requirements Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery Expertise in Microsoft Azure data and analytics services across the data value chain, with experience selecting appropriate platform capabilities for different client needs Experience defining target architectures and roadmaps for modern data … Bicep) for data, analytics and AI services Strong understanding of CI/CD and modern approaches to IT and infrastructure delivery Microsoft Azure architecture certification, with a data or AI specialism beneficial Certification in modern data warehouse, lakehouse or AI ecosystems (Microsoft, Databricks, Snowflake or equivalent) Experience ...

hallucination rates, latency and cost. Integrate AI models into production environments and manage model lifecycle, versioning and observability. Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences. Champion the use of modern … Azure - including compute, networking, storage and cost management. Experience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms (AWS/GCP). Solid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code. ...

Loyalty – We stand by each other and our mission. Job Summary Movar is seeking a Data Scientist with practical experience in analytics and machine learning. You will work at the intersection of data science and AI, developing solutions that help our clients across infrastructure, utilities, and defence sectors … data preparation to model deployment. Build analytical models and contribute to AI applications, including LLM-based tools. Work with Azure Machine Learning and Azure OpenAI to deliver client solutions. Collaborate with data engineers to ensure solutions are scalable and production ...

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 ...

copilots.Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents).Experience working in agile, cross-functional delivery teams.Desired but not essential.... Postgraduate study or certifications in AI, machine learning or data science.Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials.Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, 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 ...

copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross-functional delivery teams. Desired but not essential Postgraduate study or certifications … machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker ...

them to solve real world customer problems As a AI Senior Engineer (Senior Manager), you will: Lead the design and implementation of Microsoft Azure AI and Generative AI solutions. Develop enterprise solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and Azure services. Design and implement RAG, vector search, AI agents and LLM-based applications. Integrate AI solutions with enterprise data, applications and APIs. Establish AI engineering, security, governance, monitoring and responsible AI practices. Lead technical teams ...

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 ...

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. ...

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 … 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 ...

experience with theAzure AI ecosystem— including Azure OpenAI, Azure AI Studio, and Azure Machine Learning Experience building and runningproduction-grade AI systemson cloud infrastructure (APIs, event-driven architectures, scalable compute such as AKS or similar) ProficiencyinPython, with … medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr ...

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 ...

DescriptionCertificationsNVIDIA 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 … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...