4 of 4 Permanent Anomaly Detection Jobs in London

that blend research, experimentation, and hands-on engineering. THE ROLE As a Staff ML Engineer, you'll take the lead on projects focused on anomaly detection in video based or interactive environments. You'll guide technical direction, support junior engineers, run experiments, and ship models into production. … Specifically, you can expect to be involved in the following: Building and improving ML models for anomaly detection Leading research work streams Scoping, planning, and communicating project direction with stakeholders Mentoring juniors Working across areas like self supervised learning, multi modal, or vision-language models Bringing concepts ...

Capabilities Apply AI/ML-aware thinking to data pipelines, quality processes, automation, and insight generation Identify opportunities to use AI for data validation, anomaly detection, reconciliation, and reporting efficiency Collaborate with engineering and analytics teams to shape forward-looking data capabilities Migration Delivery Lead all phases ...

checks) Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications Process real-time, unstructured, and semi-structured data (text, documents ...

SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within OCI Alongside your technical strengths, you'll demonstrate: Proven leadership across ...