At a Glance
- Tasks: Help shape the future of AI by training advanced generative systems.
- Company: Outlier, a leader in AI innovation and 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 a team that impacts the future of autonomous agents and AI technology.
- Qualifications: 2+ years in backend engineering or AI automation; strong coding skills required.
The predicted salary is between 50000 - 60000 € per year.
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.
- 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) (Sheffield) in London employer: Outlier AI
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing ML Engineers to shape the future of AI technology from the comfort of their own homes in Sheffield. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development while working on cutting-edge projects that impact leading AI organisations. Our commitment to flexibility and a supportive environment makes us an attractive choice for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer (Remote) (Sheffield) 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 blogs explaining your work—let us see what you can do!
✨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 want to see how you think and solve problems, so be ready to showcase your expertise!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team and shaping the future of autonomous agents together.
We think you need these skills to ace ML Engineer (Remote) (Sheffield) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience and any work with AI automation or complex systems integration. We want to see how you can contribute to our projects!
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 with LLMs or multi-stage coordination tasks to grab our attention.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python or JavaScript, and your experience with SQL databases. We love seeing candidates who can build production-grade software, so be sure to highlight relevant projects you've worked on.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being considered. It’s super easy, and we’ll get your application right into our system. Plus, it shows us you’re serious about 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 they’ll likely ask you about database interactions during the interview.
✨Showcase Your Experience
Prepare to discuss your past projects that involved backend engineering or AI automation. Be ready to explain how you built and maintained production-grade software, focusing on modular separation and complex system integrations.
✨Demonstrate Problem-Solving Skills
Think of real-world problems you've solved using multi-stage coordination tasks. Be prepared to share specific examples where you integrated agents with live tools or identified subtle failures in systems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s projects. Inquire about their approach to training Large Language Models or how they handle feedback for AI agents. This shows you’re genuinely interested in contributing to their mission.
