Machine Learning Engineer
Up to 90k + Bonus
Remote - 1 to 2 days a month in office
My client is a leading insurance company who are in the process of growing their GenAI team. They are looking for an ML Engineer who will be a individual technical contributor to help build their NLP projects focusing on large language models. This role includes working the full life cycle from proof of concept to fine-tuning and deployment.
Responsibilities:
- Identify where GenAI can be used to support the business and deliver measurable advantages
- Collaborate with Data Science and AI team to implement scalable AI applications
- Improve and optimize the infrastructure by enhancing MLOps capabilities, CI/CD pipelines, user interfaces, and AI Python libraries
- Develop effective prompts for AI models while fine-tuning them
- Conduct thorough evaluations of third-party GenAI and LLM technologies
- Take ownership of projects from initial research and development stages all the way through production deployment
- Write production ready code
What you need to succeed:
- You have minimum of 4 years working as a Machine Learning Engineer, Software Engineer, Data Scientist or Data Engineer on machine learning projects
- At least 3 years experience using LLMs
- Strong background in Python
- Exposure to MLOps including CI/CD, Docker, Kubernetes
- Familiarity with software best practises
- Experience working with non technical stakeholders
- Confident using AWS
- Bonus if you have used Kafka, Databricks and RAG
Unfortunately sponsorship is not provided for this role
If you are interested please apply here or reach out to morgan.beck@xcede.com
