Generative AI Data Scientist

ZipRecruiter; City Of London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A technology recruitment platform is seeking a Generative AI Data Scientist to design and deploy scalable AI solutions. The role requires 5+ years in data science, expertise in tools like Python, PyTorch, and Databricks. Strong communication skills are essential for collaborating with diverse teams. Competitive rate of £450-£475 per day Outside IR35 available. Please share your CV at [e-mail].

Qualifications

• 5+ years in applied data science, including 2+ in Generative AI.
• Ability to communicate AI concepts to technical and business stakeholders.

Responsibilities

• Own end-to-end GenAI project lifecycle from ideation to deployment.
• Build scalable AI workflows and data pipelines in Databricks and Azure.
• Apply prompt engineering and LLM fine-tuning for real-world use cases.
• Collaborate to define success metrics and build monitoring systems.

Skills

Data science expertise

Generative AI knowledge

Python

PyTorch

Hugging Face

Databricks

Azure AI/ML

Tools

LangChain

LangGraph

MCP

Google ADK

Job description

Overview

Role: Generative AI Data Scientist

Location: Remote / Hybrid

Rate: £450-£475/Day Outside IR35

We\u2019re seeking a creative and technically skilled Generative AI Data Scientist to join our AI System Design team. You\u2019ll play a pivotal role in designing and deploying scalable GenAI solutions across text, code, and multimodal domains using tools like LangChain, Databricks, and Azure AI.

What You\u2019ll Do

• Own end-to-end GenAI project lifecycle from ideation to deployment.
• Build scalable AI workflows and data pipelines in Databricks and Azure.
• Apply prompt engineering, LLM fine-tuning, and RAG for real-world use cases.
• Translate business KPIs into AI-driven architectures with measurable outcomes.
• Collaborate across teams to define success metrics, automate model evaluation, and build robust monitoring systems.

You Bring

• 5+ years in applied data science (2+ in Generative AI/LLMs).
• Expertise in Python, PyTorch, Hugging Face, and modern GenAI frameworks.
• Hands-on with LangChain, LangGraph, MCP, Google ADK, or similar agentic tools.
• Strong skills in Databricks, Azure AI/ML, and MLOps best practices.
• Ability to communicate AI concepts to both technical and business stakeholders.

Bonus points

• Vector DBs (e.g., Pinecone, Weaviate, FAISS)
• Multi-agent systems, GenAI ethics/governance, open-source contributions

Application

Please share your CV at [e-mail]