National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Machine Learning Engineer

Better Placed Ltd - A Sunday Times Top 10 Employer!
Leeds
4 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer – Remote - NLP / LLM

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer - up to £135k base plus equity

Senior Machine Learning Engineer

Remote (UK only)

Up to £120,000 + 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 ML Engineer with either a top Uni degree in Maths/CS and 2-5 years’ 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


  • Mentoring, interviewing and training junior members


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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.