At a Glance
- Tasks: Transform complex AI/ML 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 and hands-on experience in a fast-paced 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.
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.
Scientist (m/w/d) Wissenschaftler (m/w/d) employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join a dynamic technology scale-up that champions innovation and collaboration, offering an exciting opportunity for an Applied AI Scientist to thrive in a high-trust, delivery-focused environment. With competitive salaries, remote working options, and a culture that prioritises work-life balance through regular company-wide days off, this role is perfect for those seeking meaningful challenges in AI while enjoying ample opportunities for professional growth and development.
Contact Details:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Scientist (m/w/d) Wissenschaftler (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, 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 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 interviews by brushing up on technical concepts and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Scientist (m/w/d) Wissenschaftler (m/w/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any hands-on experience with AI/ML frameworks. 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 applied AI and how your experience aligns with our needs. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Relevant Projects:If you've worked on projects that involve machine learning or AI systems, make sure to mention them! We’re interested in practical applications, so share what you’ve built, the challenges you faced, and how you overcame them. This helps us see your problem-solving skills in action.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
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 challenges. Being able to connect your technical skills to business outcomes will impress the interviewers.
✨Be Ready for Collaboration
You'll be working closely with engineering teams and stakeholders, so highlight your experience in collaborative environments. Share examples of how you've turned ambiguous problems into clear solutions through teamwork, as this is key in a fast-paced scale-up.
