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 innovation.
- Benefits: Competitive salary, remote work, modern AI tools, and extra 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.
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:
- 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: SR2 | Socially Responsible Recruitment | Certified B CorporationTM
Join a dynamic and innovative technology scale-up that prioritises employee growth and a high-trust work culture. As an Applied AI Scientist, you'll enjoy the flexibility of remote work in the UK, competitive salary, and access to cutting-edge AI tools, all while collaborating with a talented team on impactful projects. With a focus on delivery and a commitment to work-life balance, including regular company-wide days off, this is an excellent opportunity for those seeking meaningful and rewarding employment in the AI field.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B CorporationTM Recruitment Team
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 AI and tech community, attend meetups or webinars, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your hands-on experience and problem-solving skills in AI.
We think you need these skills to ace Applied AI Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Applied AI Scientist role. Highlight your Python expertise, machine learning projects, and any relevant frameworks you've worked with. We want to see how you can bring your unique background to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your experience makes you a great fit for this role. Don’t forget to mention specific projects or achievements that demonstrate your problem-solving skills and technical depth.
Showcase Your Projects:If you've worked on any AI/ML projects, make sure to include them in your application. Whether it's a personal project, a contribution to open source, or something from your previous job, we love seeing practical examples of your work and how you tackle complex problems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even further!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B CorporationTM
✨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
This role requires translating technical jargon into business solutions. Familiarise yourself with the company’s products and think about how your work can impact their success. Being able to connect your technical skills to their business goals will set you apart.
✨Be Ready for Collaboration
You'll be working closely with engineering teams and stakeholders, so highlight your teamwork experience. Prepare examples of how you've successfully collaborated on projects, especially in fast-paced environments, to show you're a great fit for their culture.
