ML Engineer (Remote) (Bristol)

ML Engineer (Remote) (Bristol)

Bristol Full-Time 50000 - 60000 € / year (est.) Home office possible
Outlier AI

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 - 60000 € per year.

Outlier helps the world's most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? 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 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) (Bristol) employer: Outlier AI

At Outlier, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of AI. Our remote work culture allows for flexibility while providing ample opportunities for professional growth and development, ensuring that our team members can thrive both personally and professionally. Join us in Bristol to be part of a forward-thinking company that values your contributions and empowers you to shape the future of autonomous agents.

Outlier AI

Contact Detail:

Outlier AI Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land ML Engineer (Remote) (Bristol)

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

Prepare for those interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to ML engineering. We want you to feel confident and ready to impress!

Tip Number 3

Showcase your projects! Whether it's a GitHub repo or a personal website, make sure to highlight your work with LLMs and complex systems. This is your chance to demonstrate your hands-on experience and creativity.

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, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace ML Engineer (Remote) (Bristol)

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 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 fit into our vision!

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-turn system interactions 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!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s super easy, and we can’t wait to see your application come through!

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 a keen eye for detail, come prepared with examples of how you've provided technical feedback on system behaviours. Highlight any experiences where your attention to detail made a significant impact on a project.

Familiarise Yourself with Real-World Applications

Research how autonomous agents work in real-world scenarios. Be ready to discuss any hands-on experience you have with integrating agents with live tools like Supabase or Gmail. Showing that you understand the practical implications of your work will set you apart!