Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas
Posted 1 week ago by We Are Orbis Group Ltd
£600 Per day
Inside
Hybrid
London/Remote, UK
Summary: The Data Scientist role focuses on ML system design, specifically in the context of Generative AI and Natural Language Processing, for an award-winning Oil & Gas client. The position requires strong Python skills and experience in building and deploying ML systems, with a preference for candidates familiar with Azure. This role offers a hybrid working arrangement, allowing for both remote and on-site work. The contract is classified as inside IR35, indicating specific tax implications for contractors.
Key Responsibilities:
- Build, deploy, and evaluate ML/NLP/GenAI systems.
- Design ML systems with a focus on software engineering best practices.
- Communicate complex tasks and implementation strategies effectively.
- Utilize cloud systems, particularly Azure, in project execution.
- Apply mathematical optimizers in ML system design.
Key Skills:
- Strong Python and intermediate SQL skills.
- Experience with ML system design.
- Very strong communication skills, both written and verbal.
- Knowledge of software engineering best practices, including testing and OOP.
- Familiarity with cloud systems, especially Azure.
- Understanding of mathematical optimizers and parameter selection.
Salary (Rate): £600 daily
City: London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas
Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas requirement for an urgent start. Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas will be working for an award winning Oil & Gas Client
Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas Key Skills
- Strong Python and intermediate SQL skills
- Experience building, deploying, and evaluating ML/NLP/GenAI systems.
- Experience with ML system design
- Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies
- Software engineering best practices, including testing, OOP, etc.
- Knowledge of cloud systems, especially azure preferred.
- A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters
Data Scientist - ML System Design - GenAI - NLP - Azure - Python - Oil & Gas - Contract - London/Remote - Inside IR35