4 of 4 Remote Azure Machine Learning Jobs in Central London

Role : Machine Learning Engineer Location : London, UK (Hybrid) Salary : £50k–£65k (DOE) Are you passionate about artificial intelligence, innovation, and building systems with real-world impact? Join a fast-paced innovation team working on cutting-edge compliance technology that integrates machine learning, generative AI, and multi-agent systems for the next generation … of financial monitoring. We're looking for a Machine Learning Engineer to support the development of a greenfield compliance platform focused on anti-money laundering (AML) and counter-terrorist financing (CTF). You’ll help design scalable ML infrastructure, build real-time monitoring systems, and explore the latest advancements in AI. Your Responsibilities: Contribute to a … New ML-Driven Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive 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 ❯

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 ❯

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 ❯