At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI feedback collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic remote environment with a focus on real-world impact.
- Why this job: Join a team shaping the future of AI with innovative projects.
- Qualifications: 2+ years in backend engineering and strong coding skills.
The predicted salary is between 50000 - 70000 € 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.
- 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.
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
Remote working/work at home options are available for this role.
MLOps Engineer (Remote) (Manchester) in London employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Manchester. With a strong focus on employee growth, we provide opportunities for continuous learning and development, ensuring our team members are at the forefront of cutting-edge technology. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for passionate individuals to thrive and contribute to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Manchester) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the 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 AI and automation.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving backend engineering and complex systems integration. This is your chance to demonstrate your expertise in Python, JavaScript, or any other languages you know.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with live environments and multi-turn system interactions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace MLOps Engineer (Remote) (Manchester) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in 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 world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about MLOps and how your background aligns with our projects. Let us know what excites you about working with AI agents and LLMs.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in programming languages like Python, JavaScript, or Go. If you've worked with SQL databases, make that clear too! We love seeing practical examples of your work in live environments.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on 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 specific projects where you've built production-grade software. Highlight your experience with modular separation and how it contributed to the success of your projects. Real-world examples will make your answers stand out.
✨Understand the Role of AI Feedback
Since the company focuses on improving AI agents through human feedback, be ready to discuss how you’ve integrated user feedback into your previous work. This shows that you understand the importance of collaboration in AI development.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and their approach to training Large Language Models. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
