MLOps Engineer (Remote) (Newcastle upon Tyne) in Benton

MLOps Engineer (Remote) (Newcastle upon Tyne) in Benton

Benton 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.
  • 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 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) (Newcastle upon Tyne) in Benton 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, we offer opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology. Join us in Newcastle upon Tyne, where you can make a meaningful impact on the future of autonomous agents and enjoy the flexibility of remote work.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land MLOps Engineer (Remote) (Newcastle upon Tyne) in Benton

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 love seeing real-world applications of your work, so make sure to highlight any complex systems you've tackled.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design principles. We recommend practicing with mock interviews or coding challenges to get comfortable with the types of questions you might face.

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’re always on the lookout for passionate candidates ready to shape the future of autonomous agents.

We think you need these skills to ace MLOps Engineer (Remote) (Newcastle upon Tyne) in Benton

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 scenarios, especially in building production-grade software.

Be Clear and Concise:When writing your cover letter, keep it clear and concise. We want to see your passion for AI and how you can contribute to our projects, so make sure to communicate your ideas effectively without fluff.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to 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 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 or worked with complex systems integration. Use examples that highlight your attention to detail and ability to provide technical feedback on system behaviours.

Understand the Role of AI Agents

Familiarise yourself with how AI agents function, especially in multi-turn interactions. Be ready to discuss how you can contribute to training advanced generative systems and share any relevant experiences you have with orchestration or automation.

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!