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: Opportunity for career growth in a fast-paced, collaborative setting.
- Why this job: Join a dynamic team tackling exciting AI challenges in a high-trust environment.
- 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 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.
Applied AI Scientist in Nottingham 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 in a collaborative environment.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Scientist in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, attend meetups or webinars, and don’t be shy about asking for informational interviews. 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 machine learning. Share your work on platforms like GitHub or even write blog posts about your experiences with AI/ML. This will make you stand out when applying through our website.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and coding challenges related to Python and machine learning. We recommend using platforms that simulate real interview scenarios to get comfortable.
✨Tip Number 4
Don’t just apply blindly! Tailor your applications to highlight how your experience aligns with the role of an Applied AI Scientist. Use specific examples from your past work that demonstrate your problem-solving skills and technical expertise. And remember, applying through our website gives you a better chance!
We think you need these skills to ace Applied AI Scientist in Nottingham
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 translate 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. Avoid fluff!
Apply Through Our Website:We encourage you to apply directly 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 products and how they use AI. Be ready to discuss how you can contribute to their goals by translating complex problems into actionable solutions.
✨Be Ready for Collaboration
You'll be working closely with engineering teams and stakeholders, so highlight your teamwork skills. Prepare examples of how you've successfully collaborated in the past, especially in fast-paced environments where communication is key.
