MLOps Engineer (Remote)

MLOps Engineer (Remote)

Full-Time 50000 - 60000 € / year (est.) No home office possible
Outlier AI

At a Glance

  • Tasks: Help shape the future of AI by training advanced generative systems.
  • Company: Join Outlier, a leader in AI innovation and collaboration.
  • Benefits: Enjoy remote work flexibility, competitive salary, and growth opportunities.
  • Other info: Dynamic role with potential for significant career advancement.
  • Why this job: Make a real impact on cutting-edge AI projects with top organisations.
  • Qualifications: 2+ years in backend engineering and strong coding skills required.

The predicted salary is between 50000 - 60000 € 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 to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

Remote working/work at home options are available for this role.

MLOps Engineer (Remote) employer: Outlier AI

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing MLOps Engineers to thrive in a remote setting while contributing to cutting-edge AI projects. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology advancements. Join us in Belfast and be part of a dynamic team that shapes the future of autonomous agents, all while enjoying the flexibility of remote work.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land MLOps Engineer (Remote)

Tip Number 1

Network like a pro! Reach out to folks in the AI and MLOps 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

Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past projects. We recommend practising common MLOps scenarios and how you tackled challenges in your previous roles.

Tip Number 3

Showcase your work! Create a portfolio or GitHub repository that highlights your best projects, especially those involving AI automation or complex systems integration. This gives potential employers a taste of what you can do.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Outlier.

We think you need these skills to ace MLOps Engineer (Remote)

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 reflects the skills and experiences that match the MLOps Engineer role. Highlight your backend engineering experience and any projects related to AI automation or complex systems integration. We want to see how you can contribute to shaping the future of autonomous agents!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at StudySmarter. Be sure to mention specific technologies you've worked with, like Python or SQL databases, to show us you're the right fit.

Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build production-grade software and handle complex system interactions. We love seeing real-world applications of your skills!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!

How to prepare for a job interview at Outlier AI

Know Your Tech Stack

Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python or 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 complex systems integration and how you tackled challenges, especially in live environments. 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. Being able to articulate how your skills can contribute to their mission of improving AI agents will show your genuine interest and alignment with their goals.

Prepare for Technical Questions

Expect to dive deep into technical discussions, especially around multi-turn system interactions and identifying subtle failures. Practise explaining complex concepts clearly and concisely, as this will demonstrate your attention to detail and communication skills.