At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic projects with leading AI organisations await you.
- Why this job: Join a team shaping the future of AI with real-world impact.
- 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) (Southampton) in Hampshire employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Southampton. 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.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Southampton) in Hampshire
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or backend engineering. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python or JavaScript. Practice common algorithms and system design questions to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace MLOps Engineer (Remote) (Southampton) in Hampshire
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and MLOps shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and what we do at StudySmarter.
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. We love seeing how your skills align with our needs, so don’t be shy about showcasing your past projects and achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to understand your qualifications and how they fit with the 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’re considered for the role. Plus, it’s super easy!
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 the Role of AI in MLOps
Familiarise yourself with how human feedback improves AI agents. Be ready to discuss your thoughts on training Large Language Models and how you can contribute to optimising complex workflows. This shows your passion for the field and aligns with their mission.
✨Prepare Questions
Have a few thoughtful questions ready about the company’s projects or their approach to AI automation. This not only shows your interest but also helps you gauge if the company is the right fit for you. Plus, it makes for a more engaging conversation!
