Machine Learning Engineer

Better Placed Ltd - A Sunday Times Top 10 Employer in 2023!
Birmingham
11 months ago
Applications closed

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Hybrid Data Engineer: Cloud Pipelines & Data Lake

Head of Data Science & ML Engineering

Sr. Data Engineer

Machine Learning Engineer

Remote (UK only)

£90,000 - £110,000 +ISO options from day 1


**ideally you'll possess a degree in Computer Science / Mathematics (or similar) from a top university and worked for an AI native or AI focussed business.


Better Placed Tech has partnered with a Microsoft backed AI business that has exited stealth mode and is building next-gen LLMs. They were founded in Silicon valley and with another funding round in 2025 they are now looking to grow out their UK based team.


The founding team is composed of industry leaders and innovators taken from some of the best-known tech businesses and educational institutions on the globe. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for an experienced ML Engineer to come on board and be a key part of the UK team.


This role is fully remote, but it would be good if you are open to travelling to Silicon Valley 1-2 times per year for collaboration.


The Job


You’ll be a talented, motivated ML Engineer with several years of experience in a native AI start up. As a key UK hire you will lead on training next gen models alongside an established US team. You’ll be the go to person in the UK team for all things ML.


Required Skills and Experience:


  • Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML.


  • Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models.


  • Solid programming skills in Python and familiarity with machine learning frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools (e.g., MLflow, Kubeflow).


  • Strong analytical and problem-solving skills, with an aptitude for translating complex theoretical research into practical applications.


Day to Day


  • Conduct research and implementation on the development, training, and deployment of large language models, with a willingness to work on both pre-training and post-training (fine-tuning, alignment, optimization) processes.


  • Collaborate closely with US researchers teams to build, optimize, and maintain data sets and scalable training and data pipelines for LLMs.


  • Build and maintain documentation for infrastructure components and systems


  • Design and implement systems for reproducibility and traceability in data preparation


  • Develop and maintain documentation and codebases.


  • Stay current with advancements in machine learning, NLP, and AI, and bring them to future projects


This is a truly unique opportunity to work with some of the brightest minds in the industry on a ground-breaking project, for a confidential discussion please apply with an up to date CV.

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