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 - 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.
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) (Leicester) employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to thrive in a remote setting while contributing to groundbreaking AI projects. With a strong emphasis on employee growth, we offer opportunities for continuous learning and development, ensuring that our team members are at the forefront of technology advancements. Join us to be part of a dynamic team that values creativity and provides the flexibility to work from anywhere, all while shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Leicester)
✨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 blogs explaining your thought process on complex systems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with languages like Python or Java, and think about how you can explain your approach to building production-grade software.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Outlier and shaping the future of autonomous agents.
We think you need these skills to ace ML Engineer (Remote) (Leicester)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the ML Engineer role. Highlight your experience in backend engineering and AI automation, and don’t forget to mention any projects that showcase your skills with LLMs or complex systems integration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping the future of autonomous agents. Share specific examples of your work that align with our mission at Outlier and how you can contribute to our projects.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to list the programming languages you’re proficient in, like Python or JavaScript, and any relevant experience with SQL databases. If you've built production-grade software, let us know!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Employer near you
✨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 might be asked to demonstrate your understanding of databases during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience with backend engineering and AI automation. Be ready to discuss how you've built production-grade software and handled complex system integrations.
✨Understand the Project
Familiarise yourself with Outlier's projects, especially their work with Large Language Models. Being able to discuss how you can contribute to training advanced generative systems will show your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.
