Data Scientist
New Today
About the Role
Looking for an experienced Senior Data Scientist to join our cutting-edge team focused on Generative AI. If you're passionate about building and managing Gen AI pipelines in AWS, and thrive in fast-paced, hands-on environments, this is your opportunity to make a real-world impact.
What You’ll Do
- Own and optimize Gen AI pipelines in AWS for scalability, reliability, and performance.
- Rapidly onboard and enhance existing infrastructure and workflows.
- Drive improvements in current models and pipelines.
- Manage production-grade Gen AI applications with a focus on robustness and efficiency.
- Collaborate across teams to deliver high-quality insights and outputs.
Platform Focus Areas
1. ETL & Vision Models
- Set up and fine-tune vision models for document processing.
- Extract structured/unstructured data from formats like tables, listings, and figures.
- Ensure optimal resource usage and model performance.
2. Insight Generation & Reasoning Logic
- Develop logic for generating actionable insights.
- Optimize response time without compromising output quality.
- Apply reasoning techniques to boost interpretability and relevance.
What We’re Looking For
- 5+ years in Data Science or Machine Learning roles.
- Strong experience with Generative AI and LLM-based applications.
- Proven success deploying Gen AI solutions in AWS.
- Expertise in ETL pipelines, computer vision, and document intelligence.
- Skilled in reasoning logic, prompt engineering, and response optimization.
- Independent, fast-paced, and results-driven mindset.
- Excellent communication and collaboration skills.
Bonus Points For
- Experience with AWS tools: SageMaker, Lambda, S3, Step Functions.
- Familiarity with LangChain, Hugging Face Transformers, or similar frameworks.
- Background in NLP, OCR, or document understanding.
Job Details
Job Title: Data Scientist
Location: London, UK
Job Type: Contract
- Location:
- London, England, United Kingdom
- Salary:
- £150,000 - £200,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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