MLOps Engineer (Remote) (Oxford) in Cowley

MLOps Engineer (Remote) (Oxford) in Cowley

Cowley Part-Time 50000 - 60000 € / 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 potential.
  • Why this job: Join a cutting-edge team and make a real impact on AI technology.
  • 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. 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) (Oxford) in Cowley 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 Cowley

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or join relevant online communities. 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 common technical questions and scenarios specific to MLOps. Practise explaining your thought process clearly, as communication is key in this field.

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) (Oxford) in Cowley

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:When listing your technical skills, be specific! Mention the programming languages you’re proficient in, like Python or JavaScript, and any experience you have with SQL databases. We want to see how you can contribute to building production-grade software.

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 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, especially any experience with complex systems integration or AI automation. Real-world examples will make your skills stand out.

Understand the Company’s Mission

Familiarise yourself with Outlier's work in improving AI agents. Being able to articulate how your skills can contribute to their mission of training advanced generative systems will show your genuine interest and alignment with their goals.

Prepare for Technical Questions

Expect to dive deep into technical discussions. Be ready to explain how you handle multi-turn system interactions and identify subtle failures. Practising common technical interview questions related to MLOps and system behaviours can give you a solid edge.