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Machine Learning Engineer – LLM

NLP PEOPLE

London

On-site

GBP 50,000 - 90,000

Full time

30+ days ago

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Job summary

An exciting opportunity awaits at a pioneering Gen AI start-up, backed by a major tech firm and YC Combinator. As a Machine Learning Engineer, you'll be at the forefront of innovation, creating synthetic datasets and training state-of-the-art models. This role offers the chance to lead ambitious projects and contribute to groundbreaking AI solutions that enhance productivity for large corporations. Join a dynamic team poised for growth, and help shape the future of AI in software engineering. If you're passionate about machine learning and eager to make a significant impact, this is the perfect role for you!

Qualifications

  • 3+ years of practical Machine Learning experience required.
  • Strong skills in Python and experience with PyTorch are essential.

Responsibilities

  • Create synthetic datasets and train models to assess data quality.
  • Drive research initiatives to improve data quality and model optimisation.

Skills

Machine Learning
Deep Learning
Large Language Models
Python
Project Leadership

Tools

PyTorch
GPU-based training environments

Job description

Our client is a seed stage Gen AI start-up, backed by one of the largest tech firms in the world and YC Combinator. They are on the verge of launching their revolutionary AI product that empowers software engineering teams to enhance their productivity in large corporations. With an impressive portfolio of clients from large banks and tech firms, they are set to move to series A round in H1 2025. This is an exciting opportunity for a Machine Learning Engineer who enjoys both conceptual innovation and meticulous optimisation.

What you’ll do:
  1. Create a wide range of synthetic datasets
  2. Train models and conduct experiments to assess synthetic data quality
  3. Use generated synthetic data to train state-of-the-art models
  4. Drive additional data-focused research initiatives aimed at improving data quality
  5. Instruction tuning, preference alignment, and model optimisation
What you bring:
  1. 3+ years of practical Machine Learning experience
  2. Ability to lead and execute ambitious machine learning projects from start to finish
  3. Well-versed in Machine Learning, Deep Learning, and Large Language Models
  4. Proficiency in related tooling (e.g., PyTorch)
  5. Prior exposure to synthetic data is a plus
  6. Strong skills in Python
  7. Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker)
Company:

Robert Walters

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates.

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