1,126 to 1,150 of 2,366 Machine Learning Jobs in the UK excluding London

Experience Proven experience leading technical delivery of AI/automation solutions using Microsoft Copilot Studio and Power Platform. Hands-on expertise in Python for automation, integration, or AI/ML tasks. Strong understanding of MCP (Microsoft Cloud Platform), A2A (Application-to-Application) integration, and Azure AI Foundry. Track record of embedding controls, governance, and compliance in technical solutions. Experience in More ❯

LlamaIndex, FAISS/Weaviate/Pinecone/Qdrant MLOps & Infrastructure: Model versioning, monitoring, logging, bias detection, explainability, LLM guardrails, Azure (nice-to-have) Collaboration: Cross-functional teamwork, rapid prototyping, ML & LLM integration, prompt engineering Evaluation: Perplexity, relevance, response quality, drift detection, A/B testing Requirements for the AI Engineer (Commodities Trading) The key requirement is for an AI Engineer More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

mixed client-consultancy teams. 💡 About You Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search, embeddings, APIs, data pipelines, and prompt design. Skilled in navigating complex enterprise settings and managing senior More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

PMP, PRINCE2, or SAFe Agile certification . Experience in regulatory reporting , liquidity stress testing , or Smartstream Real-Time Cash Management is a plus[6]. Exposure to AI/ML-driven innovation in financial services is advantageous[7]. More ❯

PMP, PRINCE2, or SAFe Agile certification . Experience in regulatory reporting , liquidity stress testing , or Smartstream Real-Time Cash Management is a plus[6]. Exposure to AI/ML-driven innovation in financial services is advantageous[7]. More ❯

PMP, PRINCE2, or SAFe Agile certification . Experience in regulatory reporting , liquidity stress testing , or Smartstream Real-Time Cash Management is a plus[6]. Exposure to AI/ML-driven innovation in financial services is advantageous[7]. More ❯

accessible Ensure data consistency, quality, and scalability across the organisation Nurture stakeholder relationships and translate business needs into insightful analytical solutions Explore and integrate emerging technologies, including AI/ML, to enhance data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry More ❯

accessible Ensure data consistency, quality, and scalability across the organisation Nurture stakeholder relationships and translate business needs into insightful analytical solutions Explore and integrate emerging technologies, including AI/ML, to enhance data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry More ❯

Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics More ❯

Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/CD practices Advocate for positive personal participation in workshops, and demonstrate critical thinking on key topics More ❯

DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. This is a business solving genuinely hard problems with real-world impact. More ❯

DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. This is a business solving genuinely hard problems with real-world impact. More ❯

DeepTech start-up that’s quickly earning a reputation for its AI-driven product, trusted by global customers. Their technology sits at the intersection of distributed systems, AI/ML, and unstructured data helping organisations make sense of complex, multilingual information to deliver insights people can actually trust. This is a business solving genuinely hard problems with real-world impact. More ❯

and Outlook for enterprise data access. Deploy solutions using AKS, Azure Container Apps, and enforce identity controls via Entra ID. Required Skills & Qualifications Strong technical background in AI/ML systems and secure product design. Hands-on experience with: Microsoft Power Platform (Copilot Studio, Power Automate, Power Apps) Azure AI Services, Microsoft Graph API, and Semantic Kernel Microsoft Purview for More ❯

working with Linux or Windows-based systems. Awareness of secure coding practices and modern cybersecurity threats. Knowledge of principles used in Agile environments. Desirable exposure Any exposure of AI, ML, Cloud or Virtualisation would be considered a plus. Clearance required You will already hold an active eDV security clearance This is an incredible opportunity to be at the forefront of More ❯

in Computer Science, Engineering, or related field 5+ years of proven experience in software engineering within AI, SaaS, or automation platforms Deep technical expertise (e.g., Python, Node.js, AI/ML integration, cloud infrastructure) Previous experience in a leadership role within a startup or high-growth tech company Excellent problem-solving, communication, and organisational skills A passion for building products that More ❯

skills to work directly with stakeholders, sometimes in-person. Desirable Experience with HubSpot or other CRM systems. Familiar with Dynamics 365 or similar enterprise platforms. Experience with AI/ML solutions, particularly in automation and workflow optimisation. Knowledge of AWS cloud services. DevOps (CI/CD, GitHub Actions, Azure DevOps). Database Experience (SQL Server) Job Offer Salary up to More ❯

deliver early, and create value from day one. Initiative: You’re an owner — someone who spots opportunities and drives them to completion. Nice to Have Experience with AI/ML systems, agentic workflows, LLMs, or other emerging technologies. Familiarity with enterprise data systems or intelligent automation platforms. Why Join Us Join a Series A startup backed by world-class investors More ❯

deliver early, and create value from day one. Initiative: You’re an owner — someone who spots opportunities and drives them to completion. Nice to Have Experience with AI/ML systems, agentic workflows, LLMs, or other emerging technologies. Familiarity with enterprise data systems or intelligent automation platforms. Why Join Us Join a Series A startup backed by world-class investors More ❯

deliver early, and create value from day one. Initiative: You’re an owner — someone who spots opportunities and drives them to completion. Nice to Have Experience with AI/ML systems, agentic workflows, LLMs, or other emerging technologies. Familiarity with enterprise data systems or intelligent automation platforms. Why Join Us Join a Series A startup backed by world-class investors More ❯