At a Glance
- Tasks: Lead ML/AI strategy and drive architecture for innovative AI solutions.
- Company: Join Capital One, a leader in tech innovation and financial services.
- Benefits: Flexible working, comprehensive benefits, and training for career growth.
- Other info: Exciting hybrid role with strong career progression opportunities.
- Why this job: Shape the future of AI while making a real impact in finance.
- Qualifications: Expertise in Python, MLOps, and cloud platforms required.
The predicted salary is between 80000 - 100000 € per year.
Capital One is looking for a Staff Software Engineer - Machine Learning based in Greater London. In this hybrid role, you'll own the ML/AI technical strategy for UK use cases, drive architecture for AI solutions, and collaborate with teams to enhance delivery.
The ideal candidate has deep expertise in Python, MLOps, and cloud platforms (AWS, Azure, GCP).
This position offers strong career progression and a comprehensive benefits package including flexible working options and training programs.
ML Tech Lead & Strategy Architect — London employer: Capital One
Capital One is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. With a strong emphasis on employee growth, you will have access to extensive training programmes and flexible working options, ensuring a rewarding career path in the rapidly evolving field of machine learning and AI. Join us to be part of a forward-thinking team that values your expertise and encourages you to drive impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land ML Tech Lead & Strategy Architect — London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using Python and cloud platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences and how they relate to the role.
✨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 ML Tech Lead & Strategy Architect — London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, MLOps, and cloud platforms like AWS, Azure, or GCP. We want to see how your skills align with the ML/AI technical strategy we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how you can drive architecture for AI solutions. This is your chance to show off your personality and enthusiasm!
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills and how you've tackled real-world problems.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Capital One
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around Python and MLOps. Be ready to discuss specific projects you've worked on and how you've applied these technologies in real-world scenarios.
✨Understand the Company’s AI Strategy
Research Capital One's current AI initiatives and think about how your experience aligns with their goals. This will show that you're not just interested in the role, but also in contributing to their vision.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Practice explaining your thought process when designing AI solutions and be prepared to tackle problem-solving questions that test your architecture skills.
✨Showcase Collaboration Skills
Since this role involves working with various teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve driven projects forward through teamwork.
