At a Glance
- Tasks: Shape the future of AI by training advanced generative systems and optimising workflows.
- Company: Outlier, a leader in AI innovation with a focus on collaboration.
- Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: 2+ years in backend engineering or AI automation, 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.
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 using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
ML Engineer (Remote) (Liverpool) employer: Outlier AI
At Outlier, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture, especially for our remote ML Engineer role based in Liverpool. We offer competitive benefits, opportunities for professional growth, and the chance to work on cutting-edge AI projects that shape the future of technology. Join us to be part of a team that values your expertise and encourages you to push the boundaries of what's possible in AI.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Liverpool)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, attend meetups, or join online forums. The more connections we make, the better our chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. We want to see what you can do, so let’s make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to backend engineering and AI automation. Practice explaining your thought process clearly; we love candidates who can articulate their ideas well.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to shape the future of autonomous agents.
We think you need these skills to ace ML Engineer (Remote) (Liverpool)
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, so don’t hold back on the details!
Tailor Your Application:Take a moment to customise your application for us. Mention specific projects or experiences that relate to training Large Language Models or working with multi-turn system interactions. It’ll make you stand out!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain your technical skills and experiences. We appreciate high-density feedback, so get straight to the point without fluff.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially Python and JavaScript. Be ready to discuss your experience with SQL databases and how you've built production-grade software. They’ll want to see that you can talk the talk and walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex systems integration or AI automation challenges in the past. Think about specific projects where you had to design workflows or optimise processes, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
Since this role requires high-density technical feedback, practice articulating your thoughts clearly. Bring examples of your work that highlight your attention to detail, especially in identifying subtle failures or issues in system behaviours.
✨Familiarise Yourself with Their Tools
If you have experience with tools like Supabase or integrating APIs, make sure to mention it! Understanding how to implement persistent state and session discovery will give you an edge, so do a bit of homework on MEMORY.md and related concepts.
