At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Join Outlier, a leader in AI innovation with a collaborative remote culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with potential to work on groundbreaking AI technologies.
- Why this job: Make a real impact on cutting-edge AI projects and enhance your tech skills.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 60000 - 80000 € 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) (London) 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 London. We offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge AI projects that shape the future of technology. Join us to be part of a team that values your expertise and encourages you to push the boundaries of what's possible in AI.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend 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 or GitHub repository showcasing your projects, especially those related to AI and backend engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in MLOps. Practice common interview questions and be ready to discuss your past experiences in detail.
✨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.
We think you need these skills to ace MLOps Engineer (Remote) (London)
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 projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you’ve built production-grade software or worked with languages like Python or JavaScript. This helps us see your practical experience in action.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. We want to understand your journey without sifting through fluff.
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, focusing on how you handled complex systems integration and any challenges you overcame.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and autonomous agents. Being able to articulate how your skills can contribute to their mission will show that you're genuinely interested and invested in the role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to explain your thought process when solving problems, especially around multi-turn system interactions and identifying subtle failures. Practising common technical interview questions can help you feel more confident.
