At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Outlier, a leader in AI innovation and 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. 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) (Glasgow City) in Milton 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 cutting-edge AI projects. 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 technology advancements. Join us in shaping the future of autonomous agents and enjoy the flexibility of remote work alongside a passionate team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Glasgow City) in Milton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps community on LinkedIn or Twitter. Join relevant groups and participate in discussions to get your name out there and show off your passion for the field.
✨Tip Number 2
Showcase your skills! Create a portfolio of projects that highlight your experience with backend engineering and AI automation. Share your GitHub link when you apply through our website to give us a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common MLOps scenarios and be ready to discuss how you've tackled complex systems integration in the past.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a quick thank-you note to express your appreciation and reiterate your enthusiasm for the role. It’s a great way to keep yourself top of mind as we make our decisions.
We think you need these skills to ace MLOps Engineer (Remote) (Glasgow City) in Milton
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 align with AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples to show how you’ve built production-grade software or handled multi-turn system interactions. This will help us see your practical experience in action.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about shaping the future of autonomous agents and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Apply Through Our Website:We encourage you to apply through our website for the best chance of being considered. It’s straightforward, and we love seeing applications come directly from interested candidates like you!
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 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 multi-stage coordination tasks or integrating agents with live tools. Real-world examples will make your skills stand out.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and how they improve AI agents. Being able to discuss their projects, like OpenClaw, and how your skills can contribute to their goals will show your genuine interest and alignment with their mission.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and attention to detail. Be ready to explain how you would handle complex system interactions or identify subtle failures in AI systems. Practising common MLOps scenarios can help you feel more confident.
