At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI collaboration and innovation.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic projects with leading AI organisations and excellent career prospects.
- Why this job: Join a team shaping the future of AI with real-world impact.
- Qualifications: 2+ years in backend engineering and strong coding skills required.
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) (Leeds) in Aberford employer: Outlier AI
Outlier is an exceptional employer that champions innovation and collaboration in the AI sector, offering a dynamic remote work environment from Leeds. With a strong focus on employee growth, we provide opportunities for professional development and the chance to work on cutting-edge projects that shape the future of AI technology. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for passionate individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer (Remote) (Leeds) in Aberford
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or Twitter. Join relevant groups and engage 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 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 and solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and system design questions that are relevant to MLOps. We want you to feel confident when discussing your experience with multi-stage coordination tasks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team and contributing to cutting-edge AI projects.
We think you need these skills to ace MLOps Engineer (Remote) (Leeds) in Aberford
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and MLOps shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and the impact you can make.
Tailor Your Experience:Make sure to highlight your relevant experience in backend engineering and AI automation. We love seeing how your skills align with our needs, so don’t be shy about showcasing your past projects and achievements!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the MLOps Engineer role. Remember, less is often more!
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’s super easy!
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 and maintained 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 in MLOps
Familiarise yourself with how AI agents work and the importance of human feedback in training them. Be ready to discuss how you can contribute to optimising complex workflows and multi-stage coordination tasks.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s projects and their approach to AI. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers!
