23 of 23 Azure Machine Learning Jobs in London

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career …/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models ...

Data/Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through … solutions. We are proud to be recognised globally for corporate responsibility and inclusive workplace practices. The Role Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking ...

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/ ...

Principal AI Solutions Architect - Pre-Sales, AI, RAG, Machine Learning, Data and AI standards, Large Language Models, Generative AI, Delivery, AI Propositions, Data Solutions, Bid Response, Technical, AWS Sagemaker, AWS Bedrock, Azure AI Platform/Machine Learning, Jupyter, ChatGPT … engagements Demonstrated expertise in enterprise and solution architecture, with a strong background in cloud-native and agile methodologies. SME in Artificial Intelligence and Machine Learning Competent in Generative AI and Large Language Models (LLMs) such as ChatGPT, Claude, Llama, and OpenAI. Strong knowledge of data architectures ...

technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … Computer Science, Mathematics, Engineering or a related field. Proven experience in a data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such ...

Principal AI Solutions Architect - Pre-Sales, AI, RAG, Machine Learning, Data and AI standards, Large Language Models, Generative AI, Delivery, AI Propositions, Data Solutions, Bid Response, Technical, AWS Sagemaker, AWS Bedrock, Azure AI Platform/Machine Learning, Jupyter, ChatGPT ...

Engineer for our leading oil and gas client. The Senior AI Engineer is responsible for designing, developing, and deploying advanced AI and machine-learning solutions for enterprise-level clients. The ideal candidate will have a strong foundation in mathematics or computer science and a proven track … development of impactful AI solutions. The engineer will work collaboratively across multidisciplinary teams, providing thought leadership in cutting-edge AI technologies, including deep learning, graph neural networks, generative AI, and retrievalaugmented system. Required Skills and Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics ...

development programmes. Skills and Professional Experience Essential Experience in data science and an understanding of mathematical and statistical concepts relevant to AI and machine learning. Experience implementing cloud-based AI and ML workloads across one or more cloud platforms or third-party technologies such as Google PaLM … transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous ...

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 … data scientists to productionise research code and models into scalable services. Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks. Continuously improve and manage infrastructure using Terraform, Docker, and Fargate. Your Profile Essential skills/knowledge/experience ...

Semantic Kernel, LangGraph, and CrewAI. Drive responsible integration of Large Language Models (LLMs) from OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Data … Dashboard. Leadership, Talent & Innovation Build and lead high‐performing global teams across data science, engineering, and automation. Foster a culture of innovation, continuous learning, and responsible experimentation. Engage with the broader AI ecosystem—including academia, hyperscalers, and startups—to identify emerging technologies and partnership opportunities. Preferred Background Proven ...

LLMOps/MLOps strategy including model lifecycle, CI/CD for ML, model registry and monitoring Design scalable cloud-native AI solutions in Azure, AWS or GCP Ensure governance, Responsible AI, security, compliance … functional requirements (NFRs) Engage senior stakeholders and shape AI roadmaps from discovery through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure ...

including model lifecycle management, CI/CD for ML, model registries, and monitoring frameworks Design and deliver scalable, cloud-native AI platforms across Azure, AWS, or GCP Ensure Responsible AI standards, governance, security, compliance, and adherence to non-functional requirements (NFRs) Partner with … senior stakeholders to define AI strategy and shape roadmaps from discovery through to enterprise rollout Required Experience Demonstrated experience as an AI Architect, Machine Learning Architect, or Generative AI Architect Strong hands-on expertise with LLMs, RAG architectures, LangChain, LangGraph, and prompt engineering Deep cloud knowledge ...

Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender & Bid Responses Own technical sections of AI RFPs and RFIs Develop … sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ...

global priorities. Build and scale an AI team and Centre of Excellence , mentoring and growing talent. Lead the design, development, and deployment of machine learning models into production. Establish AI governance, standards, and ethical frameworks to ensure responsible AI adoption. Enable innovation through sandbox environments, tooling … ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks, and ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

want to build predictive models that directly shape commercial strategy? Have you delivered machine learning solutions that moved real business metrics? Are you ready to be the first dedicated Data Scientist in a growing analytics function? A London-based strategic sourcing and supply chain business, backed … base • Working model: Hybrid, minimum 1 day per week in London (likely moving to 2–3) • Tech stack: Python, SQL, Azure ML, cloud-based data platforms • Visa sponsorship: Not confirmed Interested? Please apply below. ...

libraries (Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.) Experience with LLMs/GenAI frameworks (LangChain, RAG, prompt engineering, etc.) Experience in cloud (AWS/Azure/GCP) Experience in MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML, etc.) API development experience Techno-Functional Capabilities Ability ...

will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic … Scripting, Linkedlists, Arrays, and API development. Minimum 5 years in Big Data technologies (e.g., , Hadoop). Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. Minimum 5 years in ML model development, data engineering, and software engineering. Minimum 3 years ...

Head of Data (Architect Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL Banking Asset Management Investment Lending Loans Mortgtages) required by our financial client in London. You MUST have the following: Good … Head of Data Management experience Experience aligning the strategy with the needs of the business Excellent design and architecture ability MS SQL Server Azure AI - even if outside work Agile Experience in a financial environment The following are DESIRABLE, not essential: Microsoft Fabric, Synapse, Databricks or Snowflake ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel … details Experience required: Data FIRST mentality. You must have been working within Data Engineering before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business … mentality. You must have been working within Data Engineering (Data Bricks, Microsoft Fabric etc) before moving into Product Ownership Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance Development Framework experience within Microsoft Stack Technologies ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel ...