1 to 25 of 28 Permanent Azure Machine Learning Jobs in the City of London

Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your … Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics). • Model Deployment & Management ...

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 ...

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/ ...

working with a leading international professional services firm to recruit a Data Scientist – Senior Consultant to support the delivery of innovative analytics and machine learning solutions in a fast-paced, collaborative environment. This is a fantastic opportunity to work on a diverse range of high-impact … data capabilities and delivering meaningful insights that underpin business-critical decisions. What You’ll Do Develop and deploy advanced analytics, data science, and machine learning solutions across a variety of use cases. Use technologies such as Python, R, Azure, Databricks, SQL, Power ...

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 ...

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 ...

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 ...

/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using Microsoft AI Builder within Power … with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

/ML concepts , data modelling , and model lifecycle management . Proficiency in JavaScript , Power Fx , and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse . Good knowledge of SQL and data handling. Key Responsibilities Develop and implement AI models using Microsoft AI Builder within Power … with Python or R for advanced AI/ML scenarios. Exposure to cloud platforms (Azure AI, Azure Machine Learning). Knowledge of Power BI for analytics integration. ...

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 ...

descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions . Lead data strategy and advisory engagements , providing consulting expertise … frameworks (Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master ...

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 ...

Pharma are looking for a Data Engineer to lead the development of an Azure-centric environment that supports data science, machine learning, and high-performance compute workloads. About the Role In this role, you will design and manage an Azure … driving cloud strategy, embedding strong governance practices, and delivering enterprise-grade architectures aligned with modern data platform principles. Key Responsibilities Design and implement Azure cloud infrastructure, including networking, identity, storage, Kubernetes, and HPC solutions. Architect and manage secure Trusted Research Environments (TREs) in line with governance ...

engineering disciplines: Cloud Engineering Data Engineering (framework design, not just pipelines) DevOps MLOps/LLMOps Technologies you’ll often work with: Cloud Platforms: Azure, AWS, GCP Data Tools: Airflow, dbt, Databricks … Snowflake Developer Tooling & CI/CD: GitHub, Azure DevOps, Terraform (or other Infrastructure-as-Code tools) MLOps/LLMOps Frameworks: MLflow, AzureML, LangSmith ...

Location: London, UK Start Date: ASAP Salary: depending on experience Our client is building a secure, scalable, and modern cloud platform with Microsoft Azure at its core. To support this vision, we are seeking a Cloud/Data Engineer with 2–3 years of experience to join … analytics and AI workflows. Essential Skills & Experience 2–3 years of hands-on experience in cloud-based data engineering. Strong proficiency in Microsoft Azure services. Experience with data lakes, data warehouses, and ETL pipelines. Familiarity with Snowflake, Databricks, and Azure ML. Understanding of ML ...

hyperscaler AI platforms , such as: AWS Bedrock/SageMaker Google Vertex AI OpenAI Azure ML Solid understanding of statistics, machine learning, data science fundamentals, data engineering, and big data concepts. Knowledge of the process, data prerequisites, and success criteria required to deliver ...

hyperscaler AI platforms , such as: AWS Bedrock/SageMaker Google Vertex AI OpenAI Azure ML Solid understanding of statistics, machine learning, data science fundamentals, data engineering, and big data concepts. Knowledge of the process, data prerequisites, and success criteria required to deliver ...

clients with an integrated end-to-end solution. Our solutions are based on the Dynamics 365, Microsoft 365, Copilot and Agents, Fabric and Azure range of products, which enables us to deliver powerful, connected business solutions that drive significant client value. The Role: Pre-Sales Data Solutions … define data architecture and strategy within the Microsoft ecosystem. Designing and presenting end-to-end Microsoft data architectures that integrate data technologies like Azure Synapse Analytics, Fabric and Power BI with Dynamics 365, Power Platform, AI Foundry, and Copilot Studio. Supporting sales and solution design processes ...

predictive models. Exposure to MLOps or ML engineering practices , including pipelines, CI/CD, model monitoring, and working with tools like Azure ML or Fabric. Commercially minded communicator who can translate data into clear, actionable insight and work collaboratively with technical and non-technical stakeholders. ...

secure, scalable, and adopted capabilities that deliver measurable productivity gains, while operating within regulated enterprise environments. The ideal candidate will be proficient in: Azure AI (ML, Applied AI Services, Cognitive Services, AI Foundry, Responsible AItoolkit) - Technical stack: Python, Java, C++, Java7Script, HTML, CSS, PHP, SQL (MySQL,Oracle ...

cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance … Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong ...

people. Technical Expertise: Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. Expertise in stakeholder management, solution architecture, and project governance. Understanding of Responsible AI, data ethics … change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. All aspects of employment at Infosys ...