Applied AI Scientist

Applied AI Scientist | Up to £120,000 | United Kingdom (Remote) 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 roleAs 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 solutionsDesigning and implementing machine learning models for complex applied problemsBuilding and integrating modern AI systems using techniques such as RAG, LLMs, embeddings, vector search and multi-agent architecturesWriting clean, performant Python code for production environmentsWorking closely with engineering teams to improve architecture, reliability and scalabilityCollaborating with stakeholders to turn ambiguous or complex problems into delivered technical solutionsContributing to technical direction, best practice and knowledge sharing across the team

You’ll likely bring:A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similarExcellent Python skills for AI/ML developmentHands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit-Learn or similarStrong mathematical and statistical foundationsExperience developing ML models or AI systems beyond experimentationAn ability to work across research, engineering and product-style deliveryA 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 systemsMLOps tools such as MLflow, Kubeflow or similarDocker, Kubernetes or containerised deployment environmentsSimulation, optimisation, decision-support or modelling techniquesSecure development practicesWorking 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.

Why consider it?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 benefitsRemote UK workingAccess to modern AI tools and infrastructureA high-trust culture focused on delivery rather than bureaucracyRegular company-wide Fridays off and early Friday finishesAround 20 additional days’ worth of time back each year through company days off.