MLOps Engineer (Remote) (Oxford) in London

MLOps Engineer (Remote) (Oxford) in London

London 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: Outlier, a leader in AI feedback and innovation.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic remote environment with exciting projects and career advancement potential.
  • Why this job: Join a team that collaborates with top AI organisations to make a real impact.
  • Qualifications: 2+ years in backend engineering or AI automation; 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 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) (Oxford) in London 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 groundbreaking AI projects. With a strong emphasis on employee growth, Outlier offers opportunities for professional development and the chance to work alongside leading AI organisations, making it an ideal place for those passionate about shaping 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) (Oxford) in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and scenarios related to backend engineering and AI automation to boost your confidence.

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 genuinely interested in joining our team at StudySmarter.

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

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.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents and how your background aligns with our mission at Outlier. Be genuine and let your personality come through!

Showcase Your Technical Skills:We want to see your technical prowess! Make sure to mention your command of programming languages like Python or JavaScript, and any hands-on experience you have with SQL databases. Specific examples of your work will really help us understand your capabilities.

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 gives you a chance to explore more about what we do at StudySmarter!

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 they’ll likely ask you about database interactions during the interview.

Showcase Your Experience

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

Understand the Role of AI Agents

Familiarise yourself with the concept of autonomous agents and how they function. Be ready to discuss how you can contribute to training these systems, especially in terms of multi-turn interactions and coordination tasks.

Ask Insightful Questions

Prepare thoughtful questions about the company’s projects and their approach to AI. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to demonstrate your knowledge about the industry!