ML Engineer (Remote) (Brighton) in London

ML Engineer (Remote) (Brighton) in London

London Full-Time 50000 - 70000 € / year (est.) No home office possible
E

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.
  • Why this job: Join a team that’s redefining AI agents and make a real impact.
  • 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) (Brighton) in London 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. Join us in Brighton to be part of a dynamic team that shapes the future of autonomous agents and enjoy the flexibility of remote work alongside a supportive community.

E

Contact Detail:

Employer near you Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer (Remote) (Brighton) 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 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 multi-turn system interactions and how you've tackled real-world problems using tools like Supabase and various APIs.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace ML Engineer (Remote) (Brighton) in London

Backend Engineering
AI Automation
Complex Systems Integration
Production-Grade Software Development
Modular Software Architecture
Python
JavaScript

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 specific 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 your thoughts on how your background aligns with our mission at Outlier and what excites you about the role.

Showcase Your Technical Skills:We want to see your technical prowess! Be sure to include examples of your work with Python, JavaScript, or any other major languages. If you've built production-grade software or worked with SQL databases, 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 our projects and culture.

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 solve problems or discuss your experience with databases during the interview.

Showcase Your Projects

Prepare to talk about specific projects where you've built production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will help demonstrate your expertise and problem-solving skills.

Understand the Role of AI Agents

Familiarise yourself with the concept of autonomous agents and how they function. Be ready to discuss how you can contribute to training LLMs and improving their performance. Showing genuine interest in the company’s projects will set you apart from other candidates.

Ask Insightful Questions

Prepare thoughtful questions about the company's approach to AI and the specific challenges they face. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals. Plus, it demonstrates that you’re proactive and engaged!