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Machine Learning Engineer - LLM's:
Type: Contract (Outside IR35)
Hybrid: Remote first approach (1 x per month in the London office)
Rate: Market rate dependant on experience and skills)
Length: 3-6 month rolling (likely to roll for quite some time)
Start Date: Early January 2025.
About the role:
Are you an experienced Machine Learning Engineer passionate about building cutting-edge platforms? We are seeking a talented and innovative individual to join our team in creating a revolutionary solution for the marketing industry. This is an exciting opportunity to work with the latest technologies, including Large Language Models (LLMs), and develop intelligent workflows that empower users.
About the project for Machine Learning Engineer:
Youll be at the forefront of developing a groundbreaking platform for the marketing world. The platform will leverage LLMs and agent-based systems to deliver intelligent and seamless workflows, reshaping how businesses approach their marketing strategies.
Key Responsibilities for Machine Learning Engineer:
- Develop and optimise APIs and interfaces that enhance user experiences.
- Train, fine-tune, and integrate LLMs into the platform (experience in this is a bonus).
- Design, implement, and optimise algorithms, data structures, and system architectures.
- Build robust testing frameworks to ensure the reliability and scalability of the platform.
- Leverage cloud technologies (GCP/AWS) to ensure efficient and scalable deployment.
- Utilise containerisation tools like Docker for development and deployment workflows.
- Manage code repositories and workflows using Git and GitHub Actions.
- Stay updated with emerging trends and tools in machine learning and AI.
Required Skills and Experience for Machine Learning Engineer:
We are looking for candidates with the following:
- 2+ years of experience as a Machine Learning Engineer or in a related role.
- Knowledge & Exp of LLMs will set you apart for this role (training experience is a strong advantage).
- Proficiency in Python (advanced level).
- Experience with FastAPI or other API frameworks.
- Expertise in designing API interfaces.
- Familiarity with testing frameworks.
- Strong understanding of algorithms, data structures, and optimization.
- Hands-on experience with cloud platforms like GCP or AWS.
- Familiarity with Docker and containerization workflows.
- Proficiency with Git, including automation using GitHub Actions.
Who Should Apply?
We encourage applications from all qualified individuals who are passionate about machine learning and AI innovation. If you have experience as a Machine Learning Engineer and are excited about reshaping the marketing world with advanced technologies, we want to hear from you!
