At a Glance
- Tasks: Lead AI/ML initiatives and build scalable data science capabilities in financial services.
- Company: NLP PEOPLE, a forward-thinking company in the heart of Greater London.
- Benefits: Competitive salary, management opportunities, and a chance to shape the future of finance.
- Other info: Exciting career growth potential in a collaborative and innovative environment.
- Why this job: Join a dynamic team and make a significant impact in the AI landscape of financial services.
- Qualifications: 5+ years in ML engineering, Masters or PhD in a quantitative field, and expertise in PyTorch.
The predicted salary is between 80000 - 100000 £ per year.
NLP PEOPLE is seeking an Applied AI / ML Lead – Vice President – Machine Learning Engineer to advance AI in financial services. Located in Greater London, the role combines technical leadership with responsibilities in building scalable data science capabilities and collaborating with software engineering teams.
Ideal candidates have:
- 5+ years in ML engineering
- A Masters or PhD in a quantitative field
- Expertise in tools like PyTorch and MLOps
The position offers opportunities for management based on experience.
Applied AI/ML Lead - VP, Financial Services AI employer: NLP PEOPLE
At JPMorganChase, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As an Applied AI ML Lead in Payments, you will not only have the chance to make a significant impact on global finance but also benefit from extensive career growth opportunities and mentorship within a diverse team. Our commitment to excellence and continuous learning ensures that your unique perspective is valued, making this an ideal environment for those looking to push the boundaries of technology in a meaningful way.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI/ML Lead - VP, Financial Services AI
✨Tip Number 1
Network like a pro! Reach out to people in the financial services AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ML and AI. This is your chance to demonstrate your expertise with tools like PyTorch and MLOps in a way that really stands out.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you'll need to collaborate with software engineering teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter, so make sure you submit your application directly.
We think you need these skills to ace Applied AI/ML Lead - VP, Financial Services AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in ML engineering and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in tools like PyTorch and MLOps!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how your background makes you the perfect fit for this VP role. We love seeing genuine enthusiasm!
Showcase Leadership Experience:Since this role involves technical leadership, make sure to highlight any past experiences where you've led teams or projects. We’re looking for someone who can inspire and guide others in building scalable data science capabilities.
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, we love seeing applications come in through our own platform!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around NLP and the tools mentioned like PyTorch and MLOps. Be ready to discuss your past projects in detail, showcasing your technical expertise and how you've applied it in real-world scenarios.
✨Show Leadership Skills
Since this role involves technical leadership, think about examples where you've led a team or project. Prepare to discuss how you motivate others, manage conflicts, and drive results. This will demonstrate that you're not just a tech whiz but also a capable leader.
✨Collaborate Like a Pro
Collaboration is key in this role, so be prepared to talk about your experience working with software engineering teams. Highlight any cross-functional projects you've been part of and how you ensured smooth communication and integration between teams.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company's AI strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
