Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain robust software infrastructure for large-scale machine learning applications.
- Company: Join Permutable AI, a leader in AI-driven solutions for the financial sector.
- Benefits: Competitive salary, stock options, and flexible working hours.
- Why this job: Make a real impact in finance with cutting-edge technology and innovative tools.
- Qualifications: Strong problem-solving skills and experience in software development and infrastructure management.
- Other info: Enjoy a hybrid work environment with opportunities for collaboration and growth.
The predicted salary is between 48000 - 72000 £ 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 Slough 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 Slough
✨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 by the right people. Plus, we love seeing candidates who are genuinely interested in joining our innovative team.
We think you need these skills to ace Senior MLOps & Platform Engineer in Slough
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.
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 expertise can contribute to our innovative solutions at Permutable AI.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled complex technical issues. We love seeing how you approach challenges and what solutions you've implemented!
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 this exciting opportunity at Permutable AI!
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. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled technical challenges in the past. Think about specific instances where you’ve resolved issues in software infrastructure or improved workflows. This will demonstrate your analytical thinking and ability to work under pressure.
✨Familiarise Yourself with Their Tools
Research the tools and technologies used by Permutable AI, especially their AI-driven solutions. If you can speak knowledgeably about their products, like the Trading Co-Pilot, it shows genuine interest and helps you stand out as a candidate who’s ready to contribute from day one.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share stories that highlight your teamwork skills and how you’ve successfully worked with different departments to achieve common goals.
