At a Glance
- Tasks: Transform complex AI concepts into scalable, real-world solutions.
- Company: Fast-growing UK tech scale-up with a strong focus on AI innovation.
- Benefits: Competitive salary, remote work, modern tools, and generous time off.
- Other info: Enjoy a high-trust culture with excellent career growth opportunities.
- Why this job: Join a dynamic team tackling exciting AI challenges and make a real impact.
- Qualifications: Strong Python skills and experience in AI/ML development required.
The predicted salary is between 120000 - 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.
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:
- 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.
Applied AI Scientist employer: UK CPC
Join a dynamic and innovative technology scale-up as an Applied AI Scientist, where you'll be part of a high-trust culture that prioritises delivery and collaboration. Enjoy the flexibility of remote work within the UK, competitive salary, and generous time-off policies, including regular company-wide Fridays off. This role offers you the chance to work on cutting-edge AI challenges alongside a talented team, fostering both personal and professional growth in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI 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, GitHub repositories, or any relevant work. This gives you a chance to demonstrate your technical prowess and problem-solving abilities beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges, but also be ready to discuss how you've tackled complex problems in the past. Remember, they want to see how you think and collaborate!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to exciting AI projects.
We think you need these skills to ace Applied AI Scientist
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and machine learning. Share specific projects or experiences that highlight your skills and how they relate to the role of Applied AI Scientist.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the job description. Highlight relevant experience with Python, machine learning frameworks, and any hands-on projects that demonstrate your ability to solve complex problems.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences, making it easy for us to see how you fit into our team.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us streamline the process and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at UK CPC
✨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 a must, 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
Get familiar with the company’s goals and the specific challenges they face in AI. This will help you articulate how your skills can directly contribute to their success and show that you're not just about the tech, but also about delivering value.
✨Be Ready for Collaboration Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with engineering teams. Think of examples where you've successfully turned complex problems into technical solutions through effective communication and teamwork.
