MLOps Engineer (Remote) (Oxford) in Cowley

MLOps Engineer (Remote) (Oxford) in Cowley

Cowley Full-Time 50000 - 70000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
  • Company: Outlier, a leader in AI innovation and collaboration.
  • Benefits: Remote work options, competitive salary, and opportunities for professional growth.
  • Other info: Work in a fast-paced environment with exciting projects and career advancement.
  • Why this job: Join a dynamic team and make a real impact on cutting-edge AI technology.
  • Qualifications: 2+ years in backend engineering or AI automation with strong coding skills.

The predicted salary is between 50000 - 70000 € 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 Cowley employer: Employer near you

Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing MLOps Engineers to thrive in a remote setting while shaping the future of AI technology. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of advancements in AI and automation. Join us to be part of a dynamic team that values creativity and offers the flexibility of remote work, all while contributing to groundbreaking projects that impact the world.

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Contact Detail:

Employer near you 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 at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and backend engineering. We love seeing practical examples of what you can do!

Tip Number 3

Prepare for interviews by practising common technical questions and scenarios relevant to MLOps. We recommend doing mock interviews with friends or using online platforms to get comfortable.

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, we love hearing from passionate candidates who want to shape the future of AI!

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.

Showcase Your Skills:In your application, don’t just list your skills—show us how you’ve used them! Provide examples of how you've built production-grade software or handled multi-turn system interactions. We love seeing real-world applications of your expertise.

Be Clear and Concise:When writing your cover letter or application, keep it clear and concise. We appreciate straightforward communication, so make sure to get to the point while still showcasing your passion for shaping the future of autonomous agents.

Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!

How to prepare for a job interview at Employer near you

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 might be asked to demonstrate your understanding of databases during the interview.

Showcase Your Experience

Prepare specific examples from your past work that highlight your experience in backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.

Understand the Project

Familiarise yourself with Outlier's projects and their focus on training Large Language Models. Being able to discuss how your skills can contribute to shaping autonomous agents will show your genuine interest in the role.

Ask Insightful Questions

Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.