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 projects with innovative companies and real-world impact.
- Why this job: Join a cutting-edge team shaping the future of AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills.
The predicted salary is between 45000 - 55000 € 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.
- 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) (Cardiff) 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 Cardiff. 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) (Cardiff) 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 complex systems.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects, especially those involving backend engineering and AI automation. This is your chance to demonstrate your expertise in building production-grade software and handling multi-turn system interactions.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills in Python, JavaScript, or Go. Practice solving problems related to data parsing and logic processing, as these are key areas for MLOps roles.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative. Plus, it’s a great way to ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace MLOps Engineer (Remote) (Cardiff) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in backend engineering and AI automation. We want to see how you've built production-grade software and tackled complex systems integration, so don’t hold back!
Be Specific About Your Experience:When you mention your programming languages, be specific about your projects. If you've worked with Python or JavaScript, share examples of how you've used them in real-world scenarios. We love details!
Tailor Your Application:Don’t just send a generic application. Tailor your CV and cover letter to reflect the skills and experiences that match our job description. Show us why you’re the perfect fit for the MLOps Engineer role!
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 don’t miss out on any important updates from 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 in Workflows
Since the role involves training AI agents, be ready to talk about your understanding of AI automation and complex systems integration. Familiarise yourself with how these systems operate and be prepared to discuss any relevant experiences.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects and their approach to AI. This shows your genuine interest and helps you gauge if the company is the right fit for you.
