At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI feedback collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic remote environment with a focus on real-world impact.
- Why this job: Join a team shaping the future of AI with innovative projects.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
MLOps Engineer (Remote) (Manchester) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Manchester. With a strong focus on employee growth, we provide opportunities to engage with cutting-edge technology while fostering a culture of creativity and teamwork. Join us to be part of a forward-thinking team dedicated to shaping the future of AI through meaningful projects and impactful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Manchester)
✨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 that highlights your projects, especially those involving backend engineering or AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling complex systems.
✨Tip Number 3
Prepare for 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 multi-stage coordination tasks in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with LLMs and your ability to work in remote environments.
We think you need these skills to ace MLOps Engineer (Remote) (Manchester)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific About Your Experience:When you describe your past projects, be specific about the technologies you used, especially the programming languages like Python or JavaScript. We love details that show us how you’ve handled real-world challenges.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the MLOps Engineer role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from 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 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 and how you’ve used them in past projects.
✨Showcase Your Experience
Prepare to discuss specific examples from your previous roles where you built production-grade software. Highlight any complex systems integration or AI automation projects you've worked on, especially those involving multi-turn system interactions.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission and the types of AI agents they work with. Being able to articulate how your skills can contribute to training advanced generative systems will show that you’re genuinely interested in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, project workflows, or the technologies they use. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
