Graduate/Junior Applied AI Engineer

Graduate/Junior Applied AI Engineer

Full-Time 28000 - 38000 £ / year (est.) No working from home possible
Xapien

At a Glance

  • Tasks: Design and build AI experiments using cutting-edge ML models in a fast-paced environment.
  • Company: Join Xapien, a rapidly growing company shaping the future of due diligence.
  • Benefits: Competitive salary, employee shares, and opportunities for continuous learning and career growth.
  • Other info: Collaborative culture focused on innovation and shaping industry standards.
  • Why this job: Make a real impact in AI while working on innovative projects with global significance.
  • Qualifications: Detail-oriented with a passion for AI and experience in software development.

The predicted salary is between 28000 - 38000 £ 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. This is an ideal opportunity for someone looking to kick-start a career in AI.

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 it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact.

For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. Here’s our promise to you: We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do your best work. We succeed together - you will own a meaningful part of the business through our employee shares.

Graduate/Junior Applied AI Engineer employer: Xapien

At Xapien, we pride ourselves on being an exceptional employer that fosters a culture of innovation and continuous learning. As a Graduate/Junior Applied AI Engineer, you will be part of a dynamic team dedicated to shaping the future of the due diligence industry, with ample opportunities for personal and professional growth. Our commitment to employee development, coupled with the chance to own a meaningful part of the business through our employee shares, makes Xapien a truly rewarding place to kick-start your career in AI.

Xapien

Contact Details:

Xapien Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate/Junior Applied AI Engineer

Tip Number 1

Network like a pro! Reach out to people in the AI field, attend meetups, 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, experiments, and any AI models you've worked on. This is your chance to demonstrate your hands-on experience and passion for the field.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI and be ready to discuss your thought process during coding challenges.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Graduate/Junior Applied AI Engineer

Detail-oriented
Applied Research
Machine Learning (ML)
AI-powered Experimentation
Microservices Architecture
Infrastructure as Code (IaC)
Terraform

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of an Applied AI Engineer. Highlight any relevant projects or coursework that showcase your understanding of AI and machine learning.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your work or studies that demonstrate your problem-solving skills and innovative thinking.

Showcase Your Technical Skills:Don’t forget to mention your experience with tools like Terraform or CloudFormation, as well as any programming languages you’re proficient in. We want to see how you can bring your technical expertise to our fast-paced environment.

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to receive your application and start the conversation about your future with StudySmarter!

How to prepare for a job interview at Xapien

Know Your Algorithms

Make sure you brush up on the latest AI algorithms and machine learning models. Be ready to discuss how they work and their applications, especially in the context of real-time insights and performance optimisation.

Showcase Your Projects

Prepare to talk about any relevant projects you've worked on, particularly those involving AI or ML. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.

Understand Infrastructure as Code

Familiarise yourself with tools like Terraform or CloudFormation. Be prepared to discuss how you would implement infrastructure as code in a practical scenario, as this is crucial for automating deployment and scaling processes.

Emphasise Continuous Learning

Express your enthusiasm for continuous learning and innovation. Share examples of how you've kept up with industry trends or learned new technologies, as this aligns perfectly with the fast-paced environment of the role.