At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: 2+ years in backend engineering and 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.
- 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) (Sheffield) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Sheffield. With a strong focus on employee growth, we provide opportunities for continuous learning and development, ensuring our team members can thrive while contributing to cutting-edge projects that shape the future of AI. Our inclusive work culture fosters creativity and teamwork, making Outlier a rewarding place for passionate individuals eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Sheffield) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the 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 AI and automation.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving backend engineering or AI automation. This will give potential employers a taste of what you can do and how you tackle complex systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems related to multi-stage coordination tasks and SQL databases to impress your interviewers.
✨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 production-grade software and complex workflows.
We think you need these skills to ace MLOps Engineer (Remote) (Sheffield) in London
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 languages you've used and the databases you've worked with. We love seeing candidates who can demonstrate their command of Python, JavaScript, or any other major language.
Tailor Your Application:Take a moment to tailor your application to our job description. Mention your experience with multi-turn system interactions and coordination tasks, as these are key to what we do at Outlier.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 Feedback
Since Outlier focuses on improving AI agents through human feedback, be ready to talk about your understanding of this process. Think about how you can contribute to training LLMs and share any relevant experiences you have in AI automation.
✨Ask Insightful Questions
Prepare a few 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 makes for a more engaging conversation!
