At a Glance
- Tasks: Help train advanced AI systems by providing human feedback and optimising workflows.
- Company: Outlier, a leader in AI collaboration with innovative companies.
- 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 cutting-edge team and shape the future of AI technology.
- Qualifications: 2+ years in backend engineering and strong coding skills in major languages.
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) (Brighton) 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 Brighton. With a strong focus on employee growth, we provide opportunities for continuous learning and development, ensuring our team members can thrive while contributing to cutting-edge projects. Our inclusive work culture fosters creativity and teamwork, making it a rewarding place for passionate individuals to advance their careers in MLOps and AI automation.
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 MLOps community on LinkedIn or relevant forums. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI automation or backend engineering. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common MLOps scenarios and be ready to discuss how you've tackled complex systems integration in the past.
✨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) (Brighton) 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 and maintained production-grade software, so don’t hold back on those details!
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 seeing practical applications!
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 us!
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 specific examples from your past work that demonstrate your ability to build and maintain production-grade software. Highlight any projects where you’ve worked with complex systems integration or AI automation, as this will resonate well with the interviewers.
✨Understand the Project Goals
Familiarise yourself with Outlier’s mission to improve AI agents through human feedback. Think about how your skills can contribute to training Large Language Models and be ready to discuss your ideas on optimising architectural workflows.
✨Prepare for Remote Work Questions
Since this is a remote position, be ready to discuss your experience with remote working. Share how you manage your time, communicate effectively, and stay productive while working from home.
