Haystack

Data & AI Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data & AI Scientist with a long-term contract in London, offering a pay rate of "unknown." Key skills include advanced Python, AgenticAI tools, and experience with LLM applications. Hybrid work model; financial industry experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
March 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Monitoring #AI (Artificial Intelligence) #Jupyter #Agile #GCP (Google Cloud Platform) #Azure #Python #Cloud
Role description
Data & AI Scientist | London | Hybrid We're working with a leading-edge financial innovation lab shaping the future of conversational banking on this exciting opportunity. As a Data & AI Scientist, you will be at the forefront of the generative revolution, building production-grade agentic workflows that redefine how customers interact with global banking systems. You will leverage advanced Python engineering and multi-cloud infrastructure (Azure & GCP) to transition experimental AI into high-impact, autonomous customer solutions. The Role • Architect and deploy production-ready AgenticAI solutions using Langgraph, CrewAI, and multi-agent frameworks. • Design and scale RAG pipelines and generative search experiences, evolving standard vector search into fully conversational interfaces. • Build robust integration patterns that allow AI agents to securely trigger actions and fulfill requests across core banking systems. • Develop automated evaluation frameworks and LLMOps workflows for deterministic and generative conversation monitoring at scale. • Provision and manage high-performance AI infrastructure across both GCP (VertexAI) and Azure environments. What You'll Need • Minimum 2+ years of experience building and deploying production-grade LLM applications (moving beyond Jupyter notebooks). • Expert-level Python literacy with deep knowledge of AgenticAI tools such as Langgraph, ADK, and CrewAI. • Proven experience in AI Engineering, including RAG pipelines, Prompt Engineering, and VertexAI. • Strong background in LLMOps, including runtime evaluation, monitoring, and performance tuning. • Knowledge of Responsible AI practices, ethics, and the development of safety guardrails is highly desirable. What's On Offer • Long-term stable contract within a high-impact Conversational Banking Lab. • Hybrid working model (3 days in a modern London hub) offering the perfect balance of collaboration and focus. • Opportunity to work with cutting-edge multi-cloud AI stacks across both Azure and GCP. • A fast-paced, Agile environment where your AI designs go straight into the hands of customers. Apply via Haystack today!