3 of 3 Remote Feature Engineering Jobs in East London

skills – even better if these skills have been applied to threat detection, malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains … fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI services at scale, particularly on AWS via Terraform. The package offered to the Senior/Principal AI Engineer will consist of More ❯

You have experience optimising solution performance with a constrained set of technologies. You have experience or are keen to engage with productionising machine learning technologies combined with large scale feature engineering. More ❯

Job Title: Data Scientist Location: London, UK (Hybrid) Job Type: Permanent Job Description: Experience: Minimum of 8+ years. Skilled Required: LLM, RAG, Finetuning, NLP, Text Summarisation, ML, Feature Engineering Llamaindex, LangChain, LangSmith Vector DB, Vector Search, FAISS Embeddings Experience with OCR, layout models PDF and text file parsing, along with various other file types Experience with REST API More ❯