Acceler8 Talent
Machine Learning Engineer
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Machine Learning Engineer
If you're excited by the idea of building AI that solves real-world problems rather than demo applications, this is an opportunity to work on technology where the quality of your engineering genuinely matters.
You'll join a well-funded, high-growth technology company developing AI for complex, mission-critical environments. From designing advanced AI agents to deploying production-ready models, you'll have the autonomy to shape solutions that make a real impact.
What's in it for you?
- Build cutting-edge AI products from concept to deployment
- Work on advanced LLMs, agentic AI and multimodal systems
- Collaborate with a team of exceptional engineers and researchers
- Competitive salary, equity and excellent benefits
- Private healthcare, 7% pension and free daily meals
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You'll be:
- Building production-ready AI and agentic product features
- Designing end-to-end AI solutions from backend to deployment
- Integrating LLMs into secure enterprise applications
- Researching and implementing new AI capabilities
- Writing clean, maintainable code and documenting your work
- Working closely with engineers to deliver robust, scalable solutions
What you'll bring
- A degree in Computer Science, AI, Mathematics or a related discipline
- Commercial experience building AI or machine learning solutions
- Strong Python plus experience with languages such as Rust, C++ or Java
- Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow or JAX
- A solid understanding of modern LLMs, agentic AI or machine learning techniques
- A passion for solving difficult engineering problems with practical AI
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Experience with MLOps, production AI systems, multimodal models or regulated environments would be an advantage, but isn't essential.
You'll need the right to work in the UK and be eligible for UK Security Check (SC) clearance. The role is primarily office-based to encourage close collaboration across the engineering team.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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