Senior AI Engineer - LLMs & ML Ops (Hybrid London)

Senior AI Engineer - LLMs & ML Ops (Hybrid London)

Full-Time 90000 - 150000 £ / year (est.) No working from home possible
trg.recruitment

At a Glance

  • Tasks: Transform cutting-edge AI research into real-world applications in education technology.
  • Company: Join a fast-growing, VC-backed unicorn in the heart of London.
  • Benefits: Competitive salary of £125k, 10% bonus, and equity options.
  • Why this job: Be at the forefront of AI innovation and make a difference in education.
  • Qualifications: 5+ years of backend engineering experience with Python, TypeScript, AWS, and MLOps.

The predicted salary is between 90000 - 150000 £ per year.

A leading recruitment agency is seeking a backend engineer to join a fast-growing, VC-backed unicorn in London. In this hybrid role, you'll turn cutting-edge AI research into real-world applications, focusing on education technology.

The ideal candidate will have:

  • Over 5 years of backend engineering experience
  • Expertise in Python and TypeScript
  • Knowledge of AWS and MLOps

This opportunity includes a competitive package with a base salary of £125k, plus a 10% bonus and equity options.

Senior AI Engineer - LLMs & ML Ops (Hybrid London) employer: trg.recruitment

Join a dynamic and innovative team at a fast-growing, VC-backed unicorn in London, where your expertise in AI and backend engineering will directly contribute to transforming education technology. With a strong focus on employee growth, a competitive salary package, and a collaborative work culture that values creativity and innovation, this role offers you the chance to make a meaningful impact while enjoying the benefits of hybrid working. Embrace the opportunity to be part of a forward-thinking company that prioritises both professional development and work-life balance.

trg.recruitment

Contact Details:

trg.recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer - LLMs & ML Ops (Hybrid London)

Tip Number 1

Network like a pro! Reach out to folks in the AI and education tech space on LinkedIn. A friendly chat can open doors that a CV just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TypeScript, and MLOps. This is your chance to shine beyond the written application.

Tip Number 3

Prepare for the interview by brushing up on the latest trends in AI and education technology. We want you to impress them with your knowledge and passion!

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 take that extra step.

We think you need these skills to ace Senior AI Engineer - LLMs & ML Ops (Hybrid London)

Backend Engineering
Python
TypeScript
AWS
MLOps
AI Research Application
Education Technology

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your backend engineering experience, especially with Python and TypeScript. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about turning AI research into real-world applications, especially in education technology. We love hearing your story and what drives you.

Showcase Your MLOps Knowledge:Since this role involves MLOps, make sure to mention any relevant experience or projects you've worked on. We’re keen to see how you can contribute to our mission of leveraging AI in education.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!

How to prepare for a job interview at trg.recruitment

Know Your Tech Inside Out

Make sure you’re well-versed in Python, TypeScript, AWS, and MLOps. Brush up on your past projects and be ready to discuss how you've applied these technologies in real-world scenarios. This will show your depth of knowledge and practical experience.

Showcase Your AI Passion

Since this role focuses on turning AI research into applications, demonstrate your enthusiasm for AI and education technology. Share any personal projects or research you've done in the field, as it’ll highlight your commitment and creativity.

Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving skills. Practice coding challenges or system design problems relevant to backend engineering. This will help you think on your feet and showcase your analytical abilities during the interview.

Ask Insightful Questions

Prepare thoughtful questions about the company’s vision, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a meaningful conversation.