MLOps Engineer (Remote) (Cardiff)

MLOps Engineer (Remote) (Cardiff)

Part-Time 45000 - 55000 € / 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 options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement.
  • 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 45000 - 55000 € per year.

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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) (Cardiff) 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 Cardiff and be part of a dynamic team that values creativity and impactful contributions to the future of autonomous agents.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that MLOps Engineer gig.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or backend engineering. We want to see your work in action, so make it easy for potential employers to check it out.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common coding challenges and system design questions relevant to MLOps. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

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

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 MLOps Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.

Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments.

Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We want to see your passion for AI and how you can contribute to our projects, so make sure to express that enthusiasm without rambling.

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

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 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.

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 will show that you're genuinely interested and invested in the role.

Prepare for Technical Questions

Expect to dive deep into technical discussions. Be ready to explain your thought process when solving problems, especially around multi-turn system interactions and identifying subtle failures. Practice articulating your approach clearly and concisely.