£530 Per day
Outside
Undetermined
London Area, United Kingdom
Summary: The Machine Learning Engineer role focuses on deploying end-to-end machine learning solutions, particularly GenAI models, into production systems. The position requires expertise in building APIs for integration with various systems and emphasizes strong problem-solving and communication skills. An immediate start is available for candidates with the requisite experience. The role is classified as outside IR35 with a competitive daily rate.
Key Responsibilities:
- Deploy end-to-end machine learning solutions, including GenAI models, into scaled production systems.
- Build RESTful and GraphQL APIs for integration with back and front end systems.
- Utilize strong problem-solving skills to develop scalable and maintainable software systems.
- Implement monitoring and alerting best practices for GenAI pipelines.
Key Skills:
- 4+ years of experience in machine learning deployments.
- Experience with RESTful and GraphQL APIs.
- Strong problem-solving and communication skills.
- Understanding of monitoring and alerting best practices.
Salary (Rate): £530 daily
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Machine Learning Engineer
Up to £530 P/D Outside IR35 Immediate start
Requirements:
- 4+ years of experience in end-to-end ML deployments, including GenAI models, into scaled production systems.
- Experience in building RESTful APIs, GraphQL APIs that allow GenAI systems to integrate with both back and front end systems (e.g. UI, order systems, data stores).
- Strong problem-solving skills and the ability to build scalable, maintainable software systems.
- Strong communication and interpersonal skills, ability to work effectively in a team
- Understanding of monitoring and alerting best practices using metrics and logs, with a particular focus on GenAI pipelines (e.g. Langsmith/Langfuse) and LLM-as-a-judge a plus
Apply through this advert or email jack.herbert@oliverbernard.com for more info.