London, South East, England, United Kingdom Hybrid / WFH Options
Oliver James
with data scientists, software engineers, and subject-matter experts to deliver innovative solutions. Essential Skills & Experience Advanced Python programming skills with hands-on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP More ❯
private sector clients. Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
and private sector clients.Details- Proven experience building Agentic AI systems (e.g. autonomous agents, multi-agent orchestration, tool use, memory, planning) Strong hands-on skills in Python, LLMs, RAG, and LangChain or similar frameworks Deep understanding of GCP services: Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc. Experience with batch and real-time data pipelines Familiarity with AI assurance, governance More ❯
with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query. Experience in data pipeline automation and data governance in large-scale environments (Desirable More ❯
North London, London, United Kingdom Hybrid / WFH Options
Lancesoft Ltd
Title: AI Engineering Research Assistant Location: London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The More ❯
