City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Role : MachineLearningEngineer 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 machinelearning, generative AI, and multi-agent systems for the next generation of financial monitoring. … We're looking for a MachineLearningEngineer 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 machinelearning 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 Deployment and ML Operations: Collaborate with More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Syntax Consultancy Limited
MachineLearningEngineer (SC Cleared) London (Hybrid) 2 Month Contract £550/day (Inside IR35) MachineLearningEngineer needed with active SC Security Clearance, plus strong Databricks, MLFlow and MLOps experience. The ideal candidate will have a strong background in MachineLearning (ML) Engineering and in-depth expertise in operationalising models in … week working on-site in the London office. Start ASAP in August 2025. Key experience + tasks will include: Implementing Databricks best practices in building and maintaining economic modelling (MachineLearning) pipelines. Working closely with Data Scientists and operationalizing model with auditing enabled, and ensuring the run can be reproduced. Ensuring models are modular, source controlled, and have More ❯
City of London, London, United Kingdom Hybrid / WFH Options
QiH Group
heart of our success! At QiH, we have created an energetic and target-driven culture and continuously invest in each individual. The Role We are seeking an experienced Senior MachineLearningEngineer to join our dynamic team. You’ll be at the forefront of designing, developing, and deploying ML models that power personalised advertising, customer journey analytics … powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machinelearning models for ad targeting, user segmentation, conversion prediction, and content personalization. Develop production-grade ML pipelines leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/… Sub. Collaborate cross-functionally with Data Science, Data Engineering, and Product teams to translate business objectives into ML solutions. Research and implement state-of-the-art techniques in deep learning, reinforcement learning, and large-scale optimization relevant to Ad Tech and Mar Tech. Monitor, troubleshoot, and continuously improve model performance in production environments. Mentor junior engineers and promote More ❯