MLOps Engineer (Remote) (Bristol)

MLOps Engineer (Remote) (Bristol)

Bristol Full-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, 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 in 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. 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 MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.

MLOps Engineer (Remote) (Bristol) employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, especially for our remote MLOps Engineer role based in Bristol. We offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge AI projects that shape the future of autonomous agents. Join us to be part of a team that values your expertise and encourages you to push the boundaries of technology in a supportive environment.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

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

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and automation. This is your chance to demonstrate your expertise in backend engineering and complex systems integration.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL databases, and any live environments you've worked in. Practice explaining complex concepts clearly and concisely.

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 seeing candidates who are genuinely interested in joining our team.

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

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 reflects the skills and experiences that match the MLOps Engineer role. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!

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. Share specific examples of your past work that align with our mission at Outlier, and let us know why you’re excited about this opportunity.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing practical examples of how you've built production-grade software, so include those details to impress us!

Apply Through Our Website:We encourage you to apply directly 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. Plus, it’s super easy!

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 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 it contributed to the success of your projects. 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 and any relevant experience you have with multi-turn system interactions.

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!