ML Engineer (Remote) in Edinburgh

ML Engineer (Remote) in Edinburgh

Edinburgh Full-Time 50000 - 70000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
  • Company: Outlier, a leader in AI innovation with a focus on collaboration.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with exciting projects and career advancement potential.
  • Why this job: Join us to make a real impact on cutting-edge AI technology.
  • Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.

The predicted salary is between 50000 - 70000 € per year.

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

ML Engineer (Remote) in Edinburgh employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture promotes flexibility and work-life balance, while offering ample opportunities for professional growth through engaging projects with leading AI organisations. Join us to be part of a team that values your expertise and creativity, as we shape the future of autonomous agents together.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer (Remote) in Edinburgh

Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.

Tip Number 2

Showcase your skills! Create a portfolio of projects that highlight your experience with backend engineering and AI automation. Share your GitHub link when you apply through our website to give us a taste of what you can do.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows us that you’re genuinely interested in the role and excited about the opportunity.

We think you need these skills to ace ML Engineer (Remote) in Edinburgh

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!

Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with LLMs. This helps us understand your hands-on experience better.

Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to get to know you without sifting through fluff!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!

How to prepare for a job interview at Outlier AI

Know Your Tech Stack

Make sure you’re well-versed in the programming languages mentioned in the job description, especially Python and JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases during the interview.

Showcase Your Projects

Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, focusing on how you handled complex systems integration and any challenges you overcame. Real-world examples will make your experience stand out.

Understand the Company’s Mission

Familiarise yourself with Outlier's work in AI and autonomous agents. Be ready to discuss how your skills can contribute to their projects, particularly in training Large Language Models. Showing genuine interest in their mission can set you apart from other candidates.

Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and attention to detail. Practice explaining complex system behaviours clearly and concisely, as this will demonstrate your ability to provide high-density feedback, which is crucial for the role.