At a Glance
- Tasks: Lead the development of cutting-edge ML solutions for trading and client insights.
- Company: Join a dynamic FinTech organisation at the forefront of innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a growing global team with exciting career prospects.
- Why this job: Make a real impact in the fast-paced world of finance with your ML expertise.
- Qualifications: 5+ years in ML systems, strong GCP skills, and experience with time-series data.
The predicted salary is between 80000 - 100000 € per year.
Orbis Group is hiring a Lead ML / AI Engineer in Greater London to develop Production Machine Learning capabilities for trading intelligence and client behaviour analysis. You will own the full ML lifecycle, deploying models with a modern tech stack.
Ideal candidates will have over 5 years of experience in ML systems and substantial GCP knowledge, with a strong focus on time-series data and anomaly detection. This role provides an exciting opportunity in a growing global FinTech organization.
Lead ML Engineer – GCP for FinTech Trading in London employer: Orbis Group
Orbis Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong commitment to employee growth, we provide ample opportunities for professional development and advancement within the rapidly evolving FinTech sector. Join us to be part of a forward-thinking team that values your expertise and encourages you to make a meaningful impact in the world of trading intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer – GCP for FinTech Trading in London
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with ML and GCP. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML projects, especially those involving time-series data and anomaly detection. This will give you an edge during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common ML interview questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead ML Engineer – GCP for FinTech Trading in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ML systems and GCP. We want to see how your skills align with the role, so don’t be shy about showcasing your time-series data and anomaly detection expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead ML Engineer position and how your background makes you the perfect fit for our team at Orbis Group.
Showcase Your Projects:If you've worked on relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially in trading intelligence and client behaviour analysis.
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 Orbis Group
✨Know Your ML Lifecycle
Make sure you can confidently discuss the full machine learning lifecycle. Be prepared to explain how you've managed each stage, from data collection to model deployment, especially in a trading context.
✨GCP Expertise is Key
Brush up on your Google Cloud Platform knowledge. Be ready to talk about specific GCP tools you've used for ML projects, and how they can enhance trading intelligence and client behaviour analysis.
✨Showcase Your Time-Series Skills
Since this role focuses on time-series data, prepare examples of past projects where you've successfully implemented anomaly detection techniques. Highlight any challenges you faced and how you overcame them.
✨Cultural Fit Matters
Research Orbis Group's values and culture. Be ready to discuss how your experience aligns with their mission in the FinTech space, and why you're excited about contributing to their growth.
