ML Engineer (Remote) (City of Edinburgh)
Posted Today by Outlier AI
Negotiable
Undetermined
Remote
Edinburgh, Scotland, United Kingdom
Summary: The ML Engineer role at Outlier focuses on enhancing AI agents through human feedback, specifically in training Large Language Models for complex architectural workflows. Candidates should possess backend engineering experience and a strong command of programming languages, with an emphasis on building production-grade software. The position offers remote working options and seeks individuals passionate about AI and automation. Ideal candidates will have a keen attention to detail and experience in live environments.
Key Responsibilities:
- Collaborate with AI organizations to train Large Language Models (LLMs).
- Design, coordinate, and optimize complex architectural workflows.
- Build and maintain production-grade software with modular separation.
- Provide clear technical feedback on complex system behaviors.
- Integrate agents with live tools and APIs to solve real-world problems.
Key Skills:
- 2+ years of experience in backend engineering, AI automation, or complex systems integration.
- Strong command of at least two major programming languages (e.g., Python, JavaScript, Go, Java).
- Experience with SQL databases and building for live environments.
- Outstanding attention to detail and ability to provide technical feedback.
- Experience with multi-stage coordination tasks and identifying subtle failures.
Salary (Rate): undetermined
City: Edinburgh
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
About The Project Find out more about this role by reading the information below, then apply to be considered. 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.
xlqdzyr Remote working/work at home options are available for this role.