AI Engineer
London (City of London)
Hybrid (2 days in office per Week)
Salary: £60,000 + benefits + discretionary bonus of up to 15%
Please note sponsorship cannot be provided for this role
We are currently working with a global professional services company that specialise in Public Relations. At present, they have a small AI functionality within their business services department who are developing in-house tools to automate internal processes. Due to increased demand, they are looking to grow this team and bring in an engineer to help design and build new tooling.
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
- Python Proficiency: Strong experience in Python, including writing production-quality code.
- Statistical and ML Knowledge: Solid understanding of statistical fundamentals and machine learning theory.
- 2+ years experience in building solutions within machine learning
- Communication Skills: Excellent verbal and written communication skills to effectively convey technical information to all levels.
Desirable Skills (but by no means mandatory)
- Knowledge of LLMs and Generative AI: Experience in building solutions with Large Language Models and a good understanding of the generative AI landscape is helpful
- 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