Cybersecurity & Technical Recruitment Specialist | Driving Success Through Teamwork & Precision

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.