Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build AI-powered experiments with cutting-edge ML models.
- Company: Join a rapidly growing tech company focused on innovation.
- Benefits: Enjoy unlimited holidays, private health insurance, and a £1,000 development fund.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a real impact in AI while continuously learning and growing.
- Qualifications: Experience in Python, strong problem-solving skills, and attention to detail.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for a detail‑focussed Applied Research Engineer to help us develop the next generation of the algorithms at the heart of our system. Our product is experiencing tremendous growth, and we need to ensure that we continue to deliver accurate insights in a rapidly changing landscape. This role requires someone who thrives in a fast‑paced environment where continuous innovation and refinement are key. You will be working closely with our product team to ensure our algorithms and models capture their domain knowledge and expertise appropriately.
Core Responsibilities
- Designing, building, and testing AI‑powered experiments working with leading‑edge ML models.
- Building and deploying AI‑powered microservices following standard design patterns.
- Implementing infrastructure as code using tools like Terraform or CloudFormation to automate deployment and scaling processes.
- Statistical evaluation of candidate systems against functional and non‑functional requirements, optimising for performance and cost‑efficiency.
- Collaborating with our wider engineering team.
- Demonstrating a desire to continuously learn & improve.
Requirements
- Ability to work autonomously, be comfortable without micro‑management, be flexible and have initiative to solve problems.
- A rigorous and scientific approach to problem‑solving.
- A demonstrable track record for learning and mastering complex topics.
- Keen attention to detail.
- Strong verbal and written communication.
- Demonstrable experience working with Python and good Python knowledge.
- A good understanding of statistics.
- A strong understanding of algorithm optimisation.
- Strong foundation of working with command‑line tooling and knowledge of Unix.
Benefits
- Support and training in everything needed, including background about the risk and compliance sector, our product, development, AWS infrastructure, log analysis and related skills.
- Employee shares & equity programme.
- Private health insurance.
- Life insurance.
- Unlimited holidays.
- £1,000 professional development fund per year.
Compensation Range: £30K - £40K
Graduate Applied Research Engineer employer: Xapien
Contact Detail:
Xapien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Applied Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect Applied Research Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and ML models. This will give potential employers a taste of what you can do and how you approach problem-solving.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Don’t forget to highlight your ability to work autonomously and your keen attention to detail!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your passion for continuous learning and innovation in the field.
We think you need these skills to ace Graduate Applied Research Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Graduate Applied Research Engineer role. Highlight your experience with Python, algorithm optimisation, and any relevant projects that showcase your problem-solving skills. We want to see how you fit into our fast-paced environment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning, and how your background aligns with our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Show Off Your Projects: If you've worked on any cool projects or experiments, don’t forget to mention them! Whether it's a personal project or something from your studies, showcasing your hands-on experience with ML models can really set you apart from the crowd.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Xapien
✨Know Your Algorithms
Make sure you brush up on your knowledge of algorithms and optimisation techniques. Be ready to discuss specific examples of how you've applied these in past projects or studies. This will show that you not only understand the theory but can also implement it practically.
✨Showcase Your Problem-Solving Skills
Prepare to share instances where you've tackled complex problems, especially in a fast-paced environment. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your scientific approach and attention to detail.
✨Familiarise Yourself with Tools
Since the role involves using tools like Terraform or CloudFormation, make sure you have a basic understanding of these technologies. If possible, mention any relevant experience you have with infrastructure as code during the interview to demonstrate your readiness for the role.
✨Communicate Clearly
Strong verbal and written communication skills are crucial. Practice explaining complex concepts in simple terms, as you'll need to collaborate closely with the product team. Being able to articulate your thoughts clearly will set you apart from other candidates.