At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility and competitive salary.
- Other info: Dynamic team with opportunities for growth in AI development.
- Why this job: Make a real impact on the future of AI technology.
- 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) (Oxford) employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Oxford. 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 mission-driven team that values your contributions and supports your professional development in shaping the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Oxford)
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or Twitter. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with backend engineering and multi-stage coordination tasks. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace MLOps Engineer (Remote) (Oxford)
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 Tech Stack:When you mention your programming languages, be specific! If you're a whiz at Python or JavaScript, let us know how you've used them in real-world projects. We love seeing practical examples of your work.
Talk About Real-World Experience:We’re keen on your hands-on experience with live environments. Share any stories about how you’ve managed multi-turn system interactions or coordinated tasks that led to meaningful outcomes.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from 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 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 and maintained 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 AI Workflows
Since the role involves working with AI agents, be ready to talk about your understanding of complex systems integration and multi-turn system interactions. Familiarise yourself with how these systems operate and be prepared to share your insights.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects and their approach to training LLMs. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
