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- Tasks: Design and develop a scalable ML platform while collaborating with data scientists.
- Company: Leading global financial services firm with a diverse and dynamic team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by creating innovative solutions in the financial sector.
- Qualifications: Strong coding skills, cloud technology familiarity, and experience in regulated industries.
- Other info: Join a vibrant team focused on impactful projects and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm is seeking a Lead MLOps Platform Engineer to develop a scalable ML platform in a dynamic environment. This role involves designing infrastructure for ML pipelines, collaborating with data scientists, and ensuring compliance with security standards.
The ideal candidate has strong skills in coding, familiarity with cloud technologies, and experience in a regulated industry. Join our diverse team to help create impactful solutions for customers.
Lead ML Platform Engineer: Scale, Deploy & Monitor AI in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Platform Engineer: Scale, Deploy & Monitor AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in MLOps or at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving scalable platforms or cloud technologies. This is your chance to demonstrate your coding prowess and problem-solving abilities.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and understanding of compliance in regulated industries. We recommend practising common MLOps scenarios and being ready to discuss how you’d tackle real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our diverse team and contributing to impactful solutions.
We think you need these skills to ace Lead ML Platform Engineer: Scale, Deploy & Monitor AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML platforms and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your coding prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about MLOps and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working closely with data scientists, make sure to mention any past experiences where you’ve successfully collaborated in a team. We value teamwork and want to know how you can contribute to our diverse environment.
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. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Stack
Make sure you’re well-versed in the specific coding languages and cloud technologies mentioned in the job description. Brush up on your knowledge of ML pipelines and be ready to discuss how you've implemented them in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists, prepare examples of how you've successfully collaborated in previous roles. Highlight any cross-functional projects where you contributed to the design or deployment of ML solutions.
✨Understand Compliance and Security Standards
Familiarise yourself with the compliance requirements relevant to the financial services industry. Be prepared to discuss how you’ve ensured security in your previous projects, as this will demonstrate your understanding of the regulated environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in scaling or monitoring ML platforms and how you overcame them. This will show your practical experience and readiness for the role.
