Machine Learning Engineer at

London - UK

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

This is a job that we are recruiting for on behalf of one of our customers.

To apply speak to Jack. Hes an AI agent that sends you unmissable jobs and then helps you ace the interview. Hell make sure you are considered for this role and help you find others if you ask.

Machine Learning Engineer

Company Description: is pioneering AI for software engineering building advanced open-source-based models that empower developers with intelligent real-world coding capabilities.

Job Description:
Join as a Machine Learning Engineer and lead large-scale training of Lumen Enterprise modelsour flagship software engineering LLMs. You will drive state-of-the-art performance through supervised fine-tuning and reinforcement learning operating close to the metal with PyTorch distributed systems and long-context architectures. This is a high-impact role where your work will directly shape the capabilities engineers depend on daily.

Location: London UK

Why this role is remarkable:

Directly influence the next generation of Lumen Enterprise SWE models used by engineers every day.
Operate at real scale: modern open-source models long-context training MoE architectures and multi-node GPU clusters.
A true full-stack ML engineering role combining PyTorch distributed systems data pipelines RL design and MLOps.

What you will do:

Transform open-source base models into high-performance Lumen Enterprise SWE agents using supervised fine-tuning and RL.
Design and execute large-scale training experiments on multi-node GPU clusters including long-context and MoE training.
Build and refine large-scale RL loops where models write code run tools/tests and receive reward signals to improve performance.

The ideal candidate:

35 years of experience training deep learning models in production environments.
Deep proficiency with PyTorch and strong hands-on experience with for multi-GPU and multi-node training.
Experience training large sequence models or LLMs (70B parameters) with practical understanding of scaling challenges.

How to Apply:

To apply for this job speak to Jack our AI recruiter.

Step 1. Visit our website
Step 2. Click Speak with Jack.
Step 3. Login with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
Step 5. If the hiring manager would like to meet you Jack will make the introduction.

This is a job that we are recruiting for on behalf of one of our customers.To apply speak to Jack. Hes an AI agent that sends you unmissable jobs and then helps you ace the interview. Hell make sure you are considered for this role and help you find others if you ask.Machine Learning Engineer Compan...