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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 focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a diverse team to create impactful AI solutions in a dynamic environment.
- Qualifications: Strong coding skills, cloud technology familiarity, and experience in regulated industries.
- Other info: Exciting opportunity to work on cutting-edge ML projects.
The predicted salary is between 36000 - 60000 £ 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and any relevant coding work. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends.
✨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 Lead ML Platform Engineer: Scale, Deploy & Monitor AI
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 setting. 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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in the 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 designed or improved them in past roles.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists, prepare examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to impactful solutions, especially in a regulated environment.
✨Understand Compliance and Security Standards
Familiarise yourself with the compliance and security standards relevant to the financial services industry. Be prepared to discuss how you’ve ensured these standards in your previous work, as this will show you understand the importance of security in ML operations.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. This could include inquiries about the team’s current challenges or how they measure the success of their ML platform. It shows your genuine interest in the role and helps you assess if it’s the right fit for you.
