Back to searchAI Engineer - up to £60,000
Stott & May Professional Search Limited
Posted 6 days ago, valid for a day
London, Greater London EC4N 8AR, England
£50,000 per annum
Full Time
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Sonic Summary
- A global professional services company specializing in Public Relations is seeking an engineer to enhance their AI functionality and develop new tools.
- The role requires a minimum of 2 years of experience in building solutions with Large Language Models and proficiency in Python.
- Candidates will have the opportunity to innovate and create AI applications from scratch, with a focus on user-centric testing and data analysis.
- The position offers autonomy and the chance to upskill in generative AI technologies.
- Salary details are not provided, but the role is suitable for those looking to advance in a creative and dynamic environment.
This role will suit someone who has good experience of working in a similar environment but wants to be more creative as products and tools are built from the ground up (and not handed down by request). There is a lot of autonomy in this role and freedom to upskill across generative AI, particularly across Large Language Models.
Key Responsibilities
- Support and Iterate Existing AI Applications: Enhance the performance and utility of current AI applications.
- Innovate and Develop New Solutions: Design, develop, deploy, and maintain scalable AI applications that drive operational and commercial success across various business use cases.
- User-Centric Testing: Trial and test AI solutions with end users, iterating based on feedback to achieve optimal performance.
- Data Research and Analysis: Utilize statistical and machine learning techniques to analyze data sets and inform AI development.
- Stay Updated on AI Trends: Monitor the evolving AI landscape to ensure our solutions remain cutting-edge and relevant.
Required Skills and Experience
- Expertise in LLMs and Generative AI: 2+ years experience in building solutions with Large Language Models and a good understanding of the generative AI landscape.
- Python Proficiency: Strong experience in Python, including writing production-quality code.
- Statistical and ML Knowledge: Solid understanding of statistical fundamentals and machine learning theory.
- Communication Skills: Excellent verbal and written communication skills to effectively convey technical information to all levels.
Desirable Skills (but by no means mandatory)
- Cloud Applications: Experience developing applications on Azure is great but other cloud platforms are also fine
- DevOps: Familiarity with CI/CD and other DevOps practices.
- Industry: Experience in professional services or similar field is beneficial.
- Front-End Development: Familiarity with front-end languages such as JavaScript, React, HTML, and CSS is beneficial
