Applied AI Scientist

We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team.

This is a role for someone who enjoys working at the intersection of machine learning research, software engineering and applied problem solving. You’ll be taking complex AI/ML concepts and turning them into reliable, scalable systems that can be used in demanding real-world settings.

It’s a strong fit for someone who wants more than pure research, but still wants the technical depth, mathematical challenge and freedom to explore modern AI approaches.

The role

As an Applied AI Scientist, you’ll work in a hands-on, delivery-focused engineering environment where you’ll help design, build and improve advanced AI capabilities.

You’ll be involved across the full lifecycle, from understanding complex requirements and exploring suitable approaches, through to model development, system integration, optimisation and deployment.

This is a practical, highly technical role where strong Python engineering, mathematical rigour and modern AI/ML knowledge are all important.

What you’ll be doing

You’ll be working on areas such as:

• Translating AI/ML research into robust, production-ready solutions
• Designing and implementing machine learning models for complex applied problems
• Building and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architectures
• Writing clean, performant Python code for production environments
• Working closely with engineering teams to improve architecture, reliability and scalability
• Collaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutions
• Contributing to technical direction, best practice and knowledge sharing across the team

• A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar
• Excellent Python skills for AI/ML development
• Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similar
• Strong mathematical and statistical foundations
• Experience developing ML models or AI systems beyond experimentation
• An ability to work across research, engineering and product-style delivery
• A pragmatic mindset and comfort working in a fast-paced scale-up environment

It would be helpful if you also have experience with:

• RAG, LLMs, embeddings, vector databases or agent-based systems
• MLOps tools such as MLflow, Kubeflow or similar
• Docker, Kubernetes or containerised deployment environments
• Simulation, optimisation, decision-support or modelling techniques
• Secure development practices
• Working with complex, regulated or high-reliability systems

You’ll need to be UK-based, open to occasional travel, and willing to go through standard background/security checks if required.

This is an opportunity to join a scaling technology company at an exciting stage of growth, working with a strong technical team on challenging AI problems.

The package includes:

• Competitive salary and benefits
• Remote UK working
• Access to modern AI tools and infrastructure
• A high-trust culture focused on delivery rather than bureaucracy
• Regular company-wide Fridays off and early Friday finishes
• Around 20 additional days’ worth of time back each year through company days off.