MLOps Engineer (Remote)

MLOps Engineer (Remote)

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

At a Glance

  • Tasks: Help train advanced AI systems and optimise complex workflows.
  • Company: Outlier, a leader in AI feedback collaboration.
  • Benefits: Remote work options, competitive salary, and growth opportunities.
  • Other info: Dynamic remote environment with exciting projects and career advancement.
  • Why this job: Join a cutting-edge team shaping the future of AI technology.
  • 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.

  • 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.
  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.

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

MLOps Engineer (Remote) employer: Outlier AI

Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Leicester. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work on cutting-edge projects that shape the future of AI technology. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for passionate individuals to thrive.

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 MLOps community on LinkedIn or relevant forums. You never know who might have a lead on a job or can give you insider info about Outlier.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This will help us see your practical experience in action.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems that involve multi-turn system interactions to impress the interviewers.

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 at Outlier. Plus, it shows you’re genuinely interested in joining our team.

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 🫡

Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!

Be Specific About Your Experience:When you describe your past projects, be specific about the technologies you used, especially the programming languages like Python or JavaScript. We love details that show us how you’ve handled real-world challenges.

Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences mentioned in our job description. Show us why you’re the perfect fit for this role at StudySmarter.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our 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, like Python or JavaScript. Brush up on your SQL skills too, as they’ll likely ask you about database interactions during the interview.

Showcase Your Projects

Prepare to discuss specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will make your skills stand out!

Understand AI Workflows

Since the role involves working with AI agents, it’s crucial to understand how they function. Familiarise yourself with multi-turn system interactions and be ready to explain how you’ve optimised workflows in past roles.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company’s projects and their approach to AI. This shows your genuine interest and helps you gauge if it’s the right fit for you.