At a Glance
- Tasks: Transform complex AI concepts into scalable, real-world solutions.
- Company: Fast-growing UK tech scale-up with a strong technical team.
- Benefits: Competitive salary, remote work, modern AI tools, and extra time off.
- Other info: High-trust culture with excellent career growth opportunities.
- Why this job: Join an exciting growth stage and tackle challenging AI problems.
- Qualifications: Strong Python skills and experience in AI/ML development.
The predicted salary is between 100000 - 120000 £ per year.
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 involves working 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:
- 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
What we’re looking for:
- 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.
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 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.
The Scientist. employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a dynamic technology scale-up that prioritises innovation and employee well-being, offering a competitive salary and the flexibility of remote work within the UK. With a high-trust culture that emphasises delivery over bureaucracy, you'll have access to cutting-edge AI tools and infrastructure, alongside generous time-off policies that promote work-life balance and personal growth opportunities.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land The Scientist.
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, whether they're personal, academic, or freelance. This gives you a chance to demonstrate your hands-on experience and technical prowess beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios and explain your thought process. Practising coding challenges and discussing your approach to complex problems can really set you apart.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace The Scientist.
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and any experience with AI/ML frameworks like PyTorch or TensorFlow. We want to see how you can turn complex concepts into practical solutions, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Applied AI Scientist role. Mention specific projects or experiences that align with the job description, especially those involving machine learning models and system integration.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and how it relates to the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your AI Stuff
Make sure you brush up on the latest AI/ML concepts and frameworks like PyTorch or TensorFlow. Be ready to discuss how you've applied these in real-world scenarios, as this role is all about turning complex ideas into practical solutions.
✨Show Off Your Python Skills
Since strong Python skills are crucial for this position, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that could be used in production environments.
✨Understand the Business Context
This role isn't just about research; it's about delivering results. Familiarise yourself with the company's goals and how your work can contribute to solving their specific challenges. This will show that you're not only technically capable but also aligned with their mission.
✨Be Ready for Collaboration
Expect questions about teamwork and collaboration, as you'll be working closely with engineering teams and stakeholders. Think of examples where you've successfully turned complex problems into technical solutions through effective communication and teamwork.
