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- Tasks: Design and maintain robust software infrastructure for large-scale machine learning applications.
- Company: Permutable AI, a cutting-edge tech company revolutionising finance with AI solutions.
- Benefits: Competitive salary, stock options, and flexible working hours.
- Why this job: Join a dynamic team and make a real impact in the financial sector with innovative AI tools.
- Qualifications: Strong troubleshooting skills, software development experience, and familiarity with AI frameworks.
- Other info: Hybrid role with opportunities for career growth in a collaborative environment.
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. As a Senior MLOps & Platform Engineer, you will be responsible for designing, building, and maintaining robust software infrastructure to support large-scale machine learning applications. You will troubleshoot technical issues, manage databases, and optimize programming workflows for AI-driven financial solutions. Collaborating with cross-functional teams, you will ensure the reliability, scalability, and performance of our proprietary tools. This role offers the flexibility to work both on-site in London and remotely as needed.
Qualifications
- Strong skills in troubleshooting and problem-solving within complex systems
- Proficiency in software development and infrastructure management
- Expertise in programming and writing optimized, scalable code
- Hands-on experience with database design, management, and optimization
- Familiarity with cloud platforms, DevOps practices, and CI/CD pipelines
- Experience working with AI or MLOps frameworks is a plus
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
- Strong analytical thinking and ability to work collaboratively in cross-functional teams
Package
- Competitive base + stock options
- Flexible working days / hours
Senior MLOps & Platform Engineer in London employer: permutable.ai
Contact Detail:
permutable.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps & Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to MLOps and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to MLOps. Practice explaining your thought process clearly, as communication is key when working with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior MLOps & Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior MLOps & Platform Engineer role. Highlight your experience with software development, troubleshooting, and any relevant projects that showcase your skills in AI and MLOps frameworks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the financial sector and how your background aligns with our mission at Permutable AI. Be sure to mention specific tools or technologies you've worked with.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Share examples of complex systems you've troubleshot or optimised, and how those experiences have prepared you for this 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’re considered for the role. 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 brush up on your technical skills, especially around MLOps and platform engineering. Be ready to discuss your experience with troubleshooting complex systems and optimising code, as these are key aspects of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past. Think about specific instances where your analytical thinking made a difference, especially in high-pressure situations related to AI or financial applications.
✨Familiarise Yourself with Their Tools
Research Permutable AI's products, like the Trading Co-Pilot. Understanding their solutions will help you demonstrate how your skills can directly contribute to their mission of revolutionising the financial industry.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Highlight any successful projects where teamwork played a crucial role in achieving results.
