Senior Data Scientist - Generative AI
La Fosse
Woking, UK
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Python (Programming Language)
Machine Learning
Standard Sql
Search Technologies
Large Language Models
Prompt Engineering
Generative AI
Build Management
Microsoft Fabric
Machine Learning Operations
+1 more
Databricks
Job description
Working alongside an experienced team of AI specialists, you’ll have the opportunity to shape technical direction, influence AI strategy and build production-ready solutions using the latest AI technologies., * Design, build and deploy production-ready Generative AI and machine learning solutions
- Develop LLM applications, RAG pipelines, semantic search and intelligent automation capabilities
- Work across the full AI lifecycle, from experimentation through to deployment, monitoring and continuous improvement
- Apply both classical machine learning and modern GenAI techniques to solve complex business problems
- Collaborate with data engineers, product teams and senior stakeholders to deliver high-impact AI initiatives
- Mentor other data scientists and help define best practices across AI engineering and MLOps, This is an excellent opportunity to join a business where AI is a genuine strategic priority, working on a broad range of greenfield initiatives while helping shape the future direction of the organisation’s AI capabilities. #J-18808-Ljbffr
Requirements
- Strong Python and SQL skills with commercial experience delivering machine learning solutions
- Hands-on experience building LLM applications and Generative AI solutions, including RAG, vector databases and prompt engineering
- Experience deploying AI models into production using modern MLOps practices
- Exposure to cloud platforms and modern AI tooling such as Databricks, Azure AI or Microsoft Fabric
- Strong communication skills with the ability to translate complex technical concepts into business value
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