At a Glance
- Tasks: 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 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 - 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.
MLOps Engineer (Remote) (Brighton) in London employer: Employer near you
Outlier is an exceptional employer that fosters a collaborative and innovative work culture, allowing MLOps Engineers to thrive in a remote setting while shaping the future of AI technology. With a strong emphasis on employee growth, we provide opportunities for continuous learning and development, ensuring that our team members are at the forefront of advancements in AI and automation. Join us in Brighton to be part of a dynamic team that values creativity and impactful contributions to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Brighton) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps 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 past projects in a way that highlights your problem-solving skills.
✨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 MLOps Engineer (Remote) (Brighton) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the MLOps Engineer role. Highlight your experience in backend engineering and any relevant projects you've worked on that showcase your skills in AI automation and complex systems integration.
Showcase Your Skills:Don’t just list your technical skills; demonstrate them! Include specific examples of how you've used languages like Python or JavaScript in real-world applications, especially in live environments. We love seeing practical experience!
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 and how your background aligns with our mission at Outlier. Keep it engaging and personal!
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s straightforward and ensures your application goes directly to us. Plus, we can’t wait to see what you bring to the table!
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 and technologies mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked about your experience with databases during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built production-grade software. Highlight your role in these projects, especially any experience with multi-turn system interactions or integrating agents with live tools. Real-world examples will make your skills stand out.
✨Understand the Company’s Mission
Familiarise yourself with Outlier's work in AI and how they improve AI agents. Being able to articulate how your skills can contribute to their mission will show that you're genuinely interested and invested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, or challenges they face. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.
