£850 Per day
Outside
Hybrid
Cambridge
Summary: The role of Data / AI Engineer involves designing and building data infrastructure for AI/ML solutions within the Pharma/Life Sciences sector. The position requires extensive experience with AWS Data Engineering and related technologies, as well as expertise in data modeling and pipeline maintenance. The engineer will lead the prototyping and development of a RAG platform on AWS. Accommodation is provided if required, with a hybrid working arrangement of three days per week in Cambridge.
Key Responsibilities:
- Design and build data infrastructure for AI/ML solutions.
- Lead prototyping and development of a RAG platform on AWS.
- Build and maintain pipelines for data workflows (CI/CD).
Key Skills:
- Extensive AWS Data Engineering experience (S3, EC2, Glue, Lambda, etc.).
- NoSQL / MongoDB expertise.
- Strong understanding of Data Modelling, ETL/ELT, DWH concepts.
- Experience with Docker / EKS containerization tooling.
- RAG or LLM based data system experience.
Salary (Rate): £850 daily
City: Cambridge
Country: UK
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
ROLE: Data / AI Engineer
LOCATION: Cambridge (x3 per week, accomodation provided if required)
RATE: £800 - 850 (Outside IR35)
We are looking for an AWS Data / AI Engineer to join our client in Pharma / Life Sciences.
You'll be designing and building data infrastructure for an AI / ML solution and lead on prototyping and developing a RAG platform on AWS.
You'll need:
- Extensive AWS Data Engineering experience (S3, EC2, Glue, Lambada etc.)
- NoSQL / MongoDB
- Strong understanding of Data Modelling, ETL/ELT, DWH concepts
- Docker / EKS containerisation tooling
- Experience building and maintaining pipelines for data work flows (CI/CD)
- RAG or LLM based data system experience
If this sounds like you please reach out.