26 to 46 of 46 Azure Machine Learning Jobs in London

help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are seeking a talented and experienced Azure AI Architect to join our team at Capgemini FS. In this role, you will be responsible for leading the delivery of projects within the Financial Services industry. The … ideal candidate will have a strong background in following: Design, develop, and optimize AI models using Azure AI Foundry, LLMs, and Azure machine learning services. Enhance and scale AI Platform, integrating RAG, LLMs, and ML pipelines into real-world applications. Develop AI agents with Azure AI Foundry … implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform them into scalable AI-driven solutions. Ensure seamless integration with Azure services, including Cognitive Services, OpenAI models, and vector databases. Your Profile Proven experience working with Azure AI Foundry and its ecosystem. Strong background in LLM More ❯

and Responsibilities Spearhead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Develop and deploy advanced machine learning models using cloud-based platforms. Collaborate with product managers and designers to ensure the feasibility of product extensions and new products based on existing proprietary, quantitative … and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure More ❯

through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment … and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services More ❯

through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment … and using cloud-based solutions (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services More ❯

delivery experience and research We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking … RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA, ) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty). Certified cloud Architect Experience of delivering production AI/ML services for scaled end user … their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change. Visit us More ❯

how to apply them to solve real world customer problems We are looking for significant experience in: AI/ML platform technologies and services such as Sagemaker, Vertex, Azure ML, OpenAI, LangChain, AutoML, OCR, STT, feature stores, and vector databases. Driving literature reviews then build proof-of-concepts to validate hypotheses and thus inform AI/ML … AI/ML solution delivery. Set yourself apart: Proven ability to deliver enterprise-scale AI/ML services that impact end-user experiences and business outcomes. Certified cloud Machine Learning credentials (e.g., AWS Certified Machine Learning - Specialty). Experience in leading teams and influencing cross-functional stakeholders in delivering production-grade AI … their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces.Join Accenture to work at the heart of change. Visit us More ❯

We are recruiting at various levels within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or … Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., TensorFlow, MXNet, scikit-learn) Software engineering practices (coding standards, unit testing, version control, code review) Hadoop distributions (Cloudera, Hortonworks), NoSQL databases (Neo4j, Elastic), streaming technologies (Spark … and deployment technologies (virtualisation, CI tools like Jenkins, configuration management with Ansible, containerisation with Docker, Kubernetes) Data visualization skills (JavaScript preferred) Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) including provisioning tools (Terraform) Strong interpersonal skills for client engagement and requirement gathering Ability to translate business needs into technical solutions Experience in designing Data Science More ❯

teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve our platform capability and leverage … partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Discover where this job fits at Accenture Industry understanding. Deep More ❯

Power Platform & Azure Data Developer Are you a data-driven developer with a passion for automation, analytics, and AI? We're working with a forward-thinking organisation that's investing heavily in digital transformation - and they're looking for a Power Platform & Azure Data Developer to join their growing team. This is a fantastic … opportunity to work on cutting-edge projects that blend Power Platform , Azure Data Services , and AI technologies to deliver intelligent, scalable solutions across the business. This is a hybrid role, with 2 days per week in their Central London office to collaborate with your team and business stakeholders. What You'll Be Doing: Power Platform Development : Build … and maintain Power Automate flows, Power Apps, and Power BI dashboards. Azure Data Engineering : Design and manage robust data pipelines using Azure Data Factory. AI & Advanced Analytics : Collaborate on AI/ML projects, integrating models into Power BI and Azure services. Collaboration & Documentation : Work closely with stakeholders to gather requirements and More ❯

Power Platform & Azure Data Developer Are you a data-driven developer with a passion for automation, analytics, and AI? We're working with a forward-thinking organisation that's investing heavily in digital transformation - and they're looking for a Power Platform & Azure Data Developer to join their growing team. This is a fantastic … opportunity to work on cutting-edge projects that blend Power Platform , Azure Data Services , and AI technologies to deliver intelligent, scalable solutions across the business. This is a hybrid role, with 2 days per week in their Central London office to collaborate with your team and business stakeholders. What You'll Be Doing: Power Platform Development : Build … and maintain Power Automate flows, Power Apps, and Power BI dashboards. Azure Data Engineering : Design and manage robust data pipelines using Azure Data Factory. AI & Advanced Analytics : Collaborate on AI/ML projects, integrating models into Power BI and Azure services. Collaboration & Documentation : Work closely with stakeholders to gather requirements and 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 More ❯

in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering More ❯

in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or More ❯

the real-world impact of AI and emerging technologies. Nice to Have Experience in sectors like telco, financial services, or retail. Knowledge of tools like Databricks, Snowflake, or Azure ML. Understanding of generative AI use cases and deployment frameworks. Why this opportunity? Work on complex, strategic programmes that blend consulting with hands-on innovation. Collaborate with a More ❯

maintain ML pipelines for training, validation, deployment, and monitoring of models. Support scalable ML solutions across use cases like recommendations, forecasting, and automation. Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems. Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure DevOps). Contribute to … performance of the ML platform. Collaborate with data scientists to productionise research code into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor , and custom logging frameworks. Continuously improve infrastructure using Terraform , Docker , and Fargate. What We're Looking For Essential Skills & Experience Proven experience in ML Engineering, DevOps, or … Hands-on experience building or maintaining ML workflows or pipelines. Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch. Familiarity with cloud platforms (especially Azure , AWS desirable). Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes). Exposure to CI/CD tools (GitHub Actions, Azure DevOps) and infrastructure More ❯

Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use … them with AI/ML solutions in cloud environments (Azure, AWS, or GCP). Deep technical understanding of AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability More ❯

Oversight Translate business requirements into technical specifications; review solution architecture and ensure alignment with best practices. Guide teams working with JavaScript (Node.js/React), cloud platforms (AWS/Azure/GCP), and data formats (JSON, XML, ANSI X12, EDIFACT). Vendor & Stakeholder Management Select and manage external vendors/SIs; negotiate contracts and SLAs. Facilitate communication between … Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

Oversight Translate business requirements into technical specifications; review solution architecture and ensure alignment with best practices. Guide teams working with JavaScript (Node.js/React), cloud platforms (AWS/Azure/GCP), and data formats (JSON, XML, ANSI X12, EDIFACT). Vendor & Stakeholder Management Select and manage external vendors/SIs; negotiate contracts and SLAs. Facilitate communication between … Integration: EDI (ANSI X12, EDIFACT), REST/GraphQL APIs, OAuth2, Webhooks Languages & Frameworks: JavaScript/TypeScript (Node.js, React), Python (for data/AI), SQL Cloud & DevOps: AWS/Azure/GCP services, CI/CD pipelines, Docker/Kubernetes AI/ML Tooling: Familiarity with cloud AI services (SageMaker, Vertex AI, Azure AI) and More ❯

with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift) Experience with cloud platforms (AWS, Azure, GCP) and their ML and AI services (SageMaker, Azure ML, Vertex AI) Knowledge of MLOps tools including Docker, MLflow, Kubeflow, or similar platforms Experience with … Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯

4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing More ❯