Skills

Python Docker Research Training Machine Learning PyTorch TensorFlow Deep Learning Numpy Pandas Large Language Models NLP

Job Specifications

Machine Learning Engineer - UK (Remote)

Full-Time | Remote | UK-Based Only

I'm working with a fast-scaling, venture-backed startup that's hiring a Machine Learning Engineer to help build and deploy cutting-edge ML systems powering real-world products.

This is a high-impact role within a small, senior engineering team working at the edge of what's possible in applied machine learning. If you're excited about turning research into shipped features and want to work in a fast-moving, technically ambitious environment - this is a strong opportunity.

What You'll Be Doing

Building and optimising ML models (e.g. transformers, generative models, embeddings, etc.)
Developing production-ready ML pipelines from experimentation to deployment
Working with large-scale datasets to improve model performance, latency, and reliability
Collaborating with researchers and software engineers to ship intelligent, ML-powered features
Applying the latest research to build real-world applications

What They're Looking For

3+ years of experience in applied ML, deep learning, or related fields
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Solid understanding of model training, evaluation, and deployment workflows
Experience deploying models into production systems (bonus: real-time inference or cloud deployment)
Strong data processing and pipeline skills (e.g. NumPy, pandas, etc.)

Bonus Experience

Working with large language models, diffusion models, or other generative architectures
Background in NLP, audio, or vision ML applications
Familiarity with MLOps tools and practices (e.g. Docker, MLflow, Weights & Biases)
Experience in early-stage startups or fast-moving technical environments

Why This Role

Join a small, senior team solving challenging ML problems with real product impact
Fast iteration cycle -- your work goes live
Competitive salary + meaningful early-stage equity
Fully remote within the UK
Strong technical culture with minimal bureaucracy

If you're UK-based and looking to work on meaningful ML systems at speed, I'd love to connect and share more.

About the Company

The digital revolution continues to transform how we live, work, interact and do business with each other. The shift from analog machinery to digital technology has provided us with various opportunities to connect with the world through computers, smart phones, tablets and other devices. The internet in particular has allowed us to access information, send emails and download data - all of which can be done quickly and easily. However, in light of these benefits, there are also a number of potential risks. The biggest probl... Know more