

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
-
🏝️ - 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!
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!






