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- Tasks: Design and implement AI-driven solutions for the financial sector.
- Company: Join Permutable AI, a leader in innovative financial technology.
- Benefits: Enjoy a competitive salary, flexible working, and growth opportunities.
- Why this job: Be at the forefront of AI innovation and transform the finance industry.
- Qualifications: Experience in MLOps and a passion for AI and finance.
- Other info: Work in a dynamic hybrid environment with a focus on collaboration.
The predicted salary is between 54000 - 84000 £ per year.
Permutable AI is a cutting-edge technology company specializing in delivering real-time AI-driven solutions for the financial sector. By combining advanced language models with deep financial expertise, our platform empowers traders, hedge funds, and investment professionals with rapid market insights and decision-making tools. Our solutions, like the Trading Co-Pilot, are designed to save clients significant time while enhancing analysis and investment strategies. Trusted by leading financial institutions, we focus on creating transformative, plug-and-play tools that provide tangible value with minimal implementation effort. Based in London, we are committed to revolutionizing the financial industry through strategic innovation and global partnerships.
This is a full-time hybrid role based in the London Area, United Kingdom.
Senior MLOps & Platform Engineer employer: permutable.ai
Contact Detail:
permutable.ai 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, especially those at Permutable AI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects that highlight your MLOps expertise, make sure to share them during interviews. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for the technical grill! Brush up on your MLOps knowledge and be ready to tackle some practical scenarios. We want to see how you think on your feet and solve problems.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of our innovative team at Permutable AI.
We think you need these skills to ace Senior MLOps & Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior MLOps & Platform Engineer. Highlight your relevant experience and skills that align with our cutting-edge technology focus. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in the financial sector and how your background makes you a perfect fit for us. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects related to MLOps or AI, make sure to showcase them in your application. We’re interested in seeing real examples of your work and how they could benefit our platform and clients.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at permutable.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in MLOps tools and platforms relevant to the role. Brush up on your knowledge of machine learning frameworks, CI/CD pipelines, and cloud services. Being able to discuss specific technologies and how they apply to real-world scenarios will impress the interviewers.
✨Understand the Financial Sector
Since Permutable AI focuses on the financial industry, it’s crucial to have a grasp of financial concepts and terminology. Familiarise yourself with how AI is transforming trading and investment strategies. This will help you connect your technical skills to the company’s mission during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe past experiences. Think about challenges you’ve faced in MLOps and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Showcase Your Collaborative Spirit
As this role involves working closely with various teams, highlight your experience in cross-functional collaboration. Share examples of how you’ve worked with data scientists, software engineers, or product managers to deliver successful projects. This will demonstrate your ability to thrive in a hybrid work environment.
