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 options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with exciting projects and career advancement potential.
- Why this job: Join us to make a real impact on cutting-edge 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 to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
Remote working/work at home options are available for this role.
ML Engineer (Remote) (Cambridge) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to contribute to groundbreaking projects in AI. With remote working options available, employees enjoy flexibility while being part of a team that values professional growth and offers opportunities to work with leading AI organisations. Join us to shape the future of autonomous agents and enhance your skills in a supportive environment focused on meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Cambridge) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML 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 of projects that highlight your experience with backend engineering and AI automation. This could be anything from GitHub repos to personal websites — just make sure it’s easy to navigate and visually appealing.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to the role. We recommend using platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨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, you’ll have access to all the latest job openings and updates directly from us.
We think you need these skills to ace ML Engineer (Remote) (Cambridge) in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re genuinely excited about shaping the future of autonomous agents and how your skills can contribute to our projects.
Tailor Your CV:Make sure your CV highlights relevant experience in backend engineering and AI automation. We love seeing specific examples of your work with complex systems integration and production-grade software, so don’t hold back!
Be Clear and Concise:In your written application, clarity is key. Use straightforward language to explain your technical skills and experiences. We appreciate attention to detail, so make sure everything is well-structured and easy to read.
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 shows you’re keen on joining 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 you'll likely be asked about your experience with databases during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, especially any complex systems integration or AI automation tasks you've tackled. Real-world examples will make your experience stand out.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in improving AI agents. Be ready to discuss how your skills can contribute to their mission of training advanced generative systems. This shows genuine interest and alignment with their goals.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and attention to detail. Practice explaining complex system behaviours clearly, as this is crucial for providing high-density feedback. Consider mock interviews to sharpen your responses.
