At a Glance
- Tasks: Help train advanced AI systems and optimise complex workflows.
- Company: Outlier, a leader in AI innovation and collaboration.
- Benefits: Remote work options, competitive salary, and growth opportunities.
- Other info: Dynamic remote environment with exciting projects and career advancement.
- 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 - 60000 € 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) (Newcastle upon Tyne) 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 Newcastle upon Tyne. 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) (Newcastle upon Tyne) 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 engage in discussions; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or complex systems integration. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with backend engineering and multi-stage coordination tasks. Practice common interview questions related to your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we really value.
We think you need these skills to ace MLOps Engineer (Remote) (Newcastle upon Tyne) in London
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 submit your application directly through our website. It’s the best way for us to receive your details 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 production-grade software. Highlight your experience with modular separation and how you’ve tackled complex systems integration. Real-world examples will make your answers stand out!
✨Understand the Project Goals
Familiarise yourself with Outlier's mission of improving AI agents through human feedback. Think about how your skills can contribute to training advanced generative systems and be ready to share your thoughts on this during the interview.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving skills in live environments. Be ready to discuss how you would handle multi-turn system interactions and coordinate tasks effectively. Practising these scenarios can give you a real edge!
