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- Tasks: Build and scale real-time AI systems for the financial sector.
- Company: AI-focused company in London with a dynamic culture.
- Benefits: Flexible hybrid working, high impact role, and career growth opportunities.
- Why this job: Shape platform practices in a growing AI environment and make a real difference.
- Qualifications: Strong software engineering background and experience with MLOps practices.
- Other info: Collaborate closely with engineering teams in an innovative setting.
The predicted salary is between 48000 - 72000 £ per year.
An AI-focused company in London seeks a Senior MLOps & Platform Engineer to build and scale real-time AI systems for the financial sector. This hands-on role involves managing infrastructure, improving deployment pipelines, and working closely with other engineering teams.
Candidates should have:
- A strong software engineering background
- Familiarity with cloud platforms
- Experience with MLOps practices
The position offers high impact, flexible hybrid working arrangements, and the chance to shape platform practices in a growing AI environment.
Senior MLOps & Platform Engineer — Scale Real-Time AI employer: Revoco Ltd
Contact Detail:
Revoco Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps & Platform Engineer — Scale Real-Time AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and MLOps space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to real-time AI systems and MLOps practices. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with cloud platforms and deployment pipelines. We want you to feel confident and ready to impress!
✨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 that extra step to connect directly with us.
We think you need these skills to ace Senior MLOps & Platform Engineer — Scale Real-Time AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MLOps and real-time AI systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Technical Skills: In your application, be sure to mention specific tools and platforms you’ve used in your previous roles. We’re looking for someone who’s comfortable with cloud platforms and has a solid software engineering background, so highlight those experiences!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Revoco Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your cloud platforms and MLOps practices, as you’ll likely be asked to discuss your experience with them in detail.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you improved deployment pipelines or managed infrastructure effectively, as these experiences will resonate well with the interviewers.
✨Collaborate and Communicate
Since this role involves working closely with other engineering teams, be ready to discuss how you’ve collaborated in the past. Highlight your communication skills and any successful projects that required teamwork to demonstrate your fit for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI initiatives and platform practices. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values and work style.
