Senior Machine Learning Engineer

2 weeks ago

London, Greater London, United Kingdom yellow brick road Full time

Are you into writing RAGs?

Looking for an exciting opportunity at a leading international product company?

Our client is a global leader in the JobTech industry, operating in the realms of:

Data

Platforms

Technology

The company's mission is to drive a lasting change in the job market through the use of technology, particularly AI, ML, and LLMs.

Currently, the company is developing several LLM-based use cases aimed at better matching job seekers with employers using semantic search. Their LLMs are trained internally, deployed on AWS, and utilize Vector DB.

Our client is seeking a

Senior Machine Learning Engineer (MLOps)

due to the need to accelerate ML development in their product, bring mature understanding of ML system architecture to the team, and create an MLOps environment that integrates the work of Data Scientists and Software Engineers.

The team operates in an R&D mode – taking ideas to the PoC stage, deciding if the PoC is ready for testing, and after successful tests, deploying the solution to production. The product utilizes NLP, with no image processing involved.

As a Senior ML Engineer, you will design and implement systems based on LLMs, including writing advanced RAGs. Additionally, you will create and implement best practices in MLOps. You will work in an interdisciplinary team consisting of:

ML Engineer

Data Scientist

Big Data Engineer

Cloud Engineer

DevOps

Teams work in Scrum. You will work directly with a team of Data Scientists, Big Data Developers, ML Engineers, and QA, and you can be based in Germany or in the UK. Remote work is possible, with occasional visits to the office in London, Dusseldorf, Munich or Warsaw.

Your Key Responsibilities:

Implementing and delivering ML-based services using AWS Sagemaker

Optimizing ML product delivery

As a key team member, creating and implementing best practices in MLOps (IaC, CI/CD)

Ensuring performance, scalability, and manageability of LLM-based pipelines

We need you to have:

Over 5 years of experience in Machine Learning or Data Engineering

Proficiency in Python

Experience with AWS (Sagemaker) or a similar tool (e.g., Azure ML Studio)

Experience with PyTorch

Understanding of Transformer architecture

Experience with IaC, CI/CD

Understanding of SOLID principles

Fluent English

We offer a respectful and process-driven environment, yet highly innovative. Our client is a large, stable organization with a casual culture.

Interested? Apply now

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