6 of 6 Anomaly Detection Jobs in the South East

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 ...

system instances Build transformation-heavy pipelines covering data profiling, cleansing, standardisation, conformance, and publishing Advanced SQL skills for data profiling, joins and merges, deduplication, anomaly detection, and performance tuning Strong scripting capability in Python for automation, parsing, rules engines, and data quality checks, with an emphasis ...

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 ...

multiple source instances Expertise in data-transformation-heavy pipelines : profiling, cleansing, standardisation, conformance, and publishing Advanced SQL , including profiling, joins/merges, deduplication, anomaly detection, and performance tuning Python scripting for automation, parsing, rules engines, anddata-quality checks; ability to write maintainable code Experience with Python packages ...

Grafana skills: dashboards, alerting, synthetic monitoring, Loki logs, RUM tooling. Experience with APIs, automation, and integrations across Loki, Tempo, and OpenTelemetry. Desirable ML-assisted anomaly detection and advanced root-cause analysis across metrics/logs/traces. If this sounds like something you'd be interested ...