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- Tasks: Build and scale live AI systems for the financial sector.
- Company: Dynamic London-based AI company focused on real-time applications.
- Benefits: Flexible hybrid working and competitive daily rates.
- Why this job: Make a real impact on high-stakes AI products in finance.
- Qualifications: Strong software engineering background and cloud platform experience.
- Other info: Collaborative environment with opportunities to shape MLOps practices.
London-based AI company building Real Time, production-grade AI systems for the financial sector. They are focused on practical applications of machine learning and LLMs, with products already in use by trading and investment teams.
Role: Senior MLOps & Platform Engineer
Rate: £500 - £625 per day
Duration: 6 months
Location: London
The role: This is a hands-on engineering role focused on building, running, and scaling the systems behind live ML products. You will work closely with ML engineers and software teams to ensure models move cleanly into production and run reliably at scale.
What you will be doing:
- Building and maintaining infrastructure to support large-scale ML applications
- Improving CI/CD, deployment, monitoring, and reliability of AI-driven systems
- Troubleshooting complex issues across cloud and distributed environments
- Managing and optimising databases and platform services used by ML products
- Partnering with ML, product, and engineering teams to improve performance and scalability
What they are looking for:
- Strong background in software engineering, platform, or infrastructure roles
- Experience working with cloud platforms and modern DevOps practices
- Solid programming skills with a focus on clean, scalable code
- Hands-on experience with databases in production environments
- Exposure to MLOps, ML platforms, or AI-powered systems (not necessarily research-heavy)
- Comfortable working in a collaborative, fast-moving engineering environment
What is on offer:
- Flexible hybrid working
- High-impact role on live AI products used in financial markets
- Opportunity to shape platform and MLOps practices in a growing AI company
If you are an MLOps or platform engineer interested in building real-world AI systems rather than experiments, feel free to get in touch for more detail.
Senior Mlops & Platform Engineer employer: Revoco Ltd
Contact Detail:
Revoco Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Mlops & Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to MLOps and AI systems. We want to see what you can do in action, not just on paper.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to discuss your experience with cloud platforms and CI/CD practices. We’re looking for hands-on experience, so be ready to dive deep.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Mlops & Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and MLOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building real-time AI systems and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: We’re looking for solid programming skills and experience with cloud platforms. Make sure to mention specific technologies you’ve worked with, especially those related to CI/CD and database management. This will help us see your hands-on experience!
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 Revoco Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your cloud platforms, CI/CD practices, and any specific programming languages they use. Being able to discuss your hands-on experience with these tools will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss complex issues you've tackled in previous roles, especially those related to ML applications or distributed systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how you approached challenges and what the outcomes were.
✨Collaborative Mindset
Since this role involves working closely with ML engineers and product teams, be ready to talk about your experience in collaborative environments. Share examples of how you’ve partnered with others to improve system performance or scalability, highlighting your ability to communicate effectively across teams.
✨Ask Insightful Questions
Prepare thoughtful questions about their current ML products and the challenges they face. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your knowledge of the industry. It’s a great way to engage with the interviewers and leave a lasting impression.
