Machine Learning Engineer

Machine Learning Engineer

Remote (UK only)

£40,000-£60,000 + equity

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

Better Placed Tech has partnered with a Microsoft backed AI business that is close to securing a major seed round from a leading AI VC. With this impending funding and a great array of clients, they are now looking to add to 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 another 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 or aspiring ML Engineer with either a top Uni degree in Maths/CS or 6-18 months experience in a native AI start up. As a key UK hire you will work on training next gen models alongside an established US team.

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.