Staff AI/ML Platform Engineer – Reference Data

Staff AI/ML Platform Engineer – Reference Data

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Addepar

At a Glance

  • Tasks: Manage data reconciliation and curate market data for innovative AI solutions.
  • Company: Addepar, a leading wealth technology firm in Edinburgh.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on innovation and collaboration.
  • Why this job: Join a high-impact team transforming the wealth tech landscape with AI.
  • Qualifications: Experience in AI/ML and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

Addepar in Edinburgh is looking for a Staff Software Engineer specializing in AI/ML to join their Reference Data team. You will manage data reconciliation and curate market data to enable innovative solutions that transform the wealth technology landscape with AI.

This high-impact role involves architecting and executing core AI capabilities, partnering with product teams, driving the delivery of AI-native products, and ensuring robust, scalable systems. If you thrive on applying AI in real-world settings, apply now!

Staff AI/ML Platform Engineer – Reference Data employer: Addepar

Addepar is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Edinburgh. With a strong focus on employee growth, we offer ample opportunities for professional development and the chance to work on cutting-edge AI/ML projects that are transforming the wealth technology landscape. Join us to be part of a dynamic team where your contributions will have a meaningful impact on the industry.

Addepar

Contact Details:

Addepar Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff AI/ML Platform Engineer – Reference Data

Tip Number 1

Network like a pro! Reach out to folks in the AI/ML space, especially those at Addepar or similar companies. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, let your work speak for itself. This is your chance to shine!

Tip Number 3

Prepare for the interview like it’s the final exam! Brush up on your technical skills and be ready to discuss how you've applied AI in real-world scenarios. Practice makes perfect, so get a friend to quiz you!

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 take that extra step to connect with us directly.

We think you need these skills to ace Staff AI/ML Platform Engineer – Reference Data

AI/ML Expertise
Data Reconciliation
Market Data Curation
System Architecture
Product Delivery
Scalability
Collaboration with Product Teams

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI/ML and data management. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role at Addepar and how you can contribute to the Reference Data team. We love seeing genuine enthusiasm and a clear understanding of the job.

Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems using AI/ML. We’re looking for candidates who can think critically and innovate, so share those success stories!

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’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at Addepar

Know Your AI/ML Stuff

Make sure you brush up on your AI and machine learning concepts. Be ready to discuss specific algorithms, frameworks, and how you've applied them in past projects. This role is all about transforming wealth technology with AI, so show them you know your stuff!

Showcase Your Problem-Solving Skills

Prepare to talk about real-world problems you've solved using AI/ML. Think of examples where you managed data reconciliation or curated market data. Highlight your thought process and the impact of your solutions to demonstrate your value.

Understand Their Products

Familiarise yourself with Addepar's products and how they leverage AI. This will not only help you answer questions but also allow you to ask insightful ones. Showing that you understand their business will set you apart from other candidates.

Be Ready to Collaborate

This role involves partnering with product teams, so be prepared to discuss your experience working in cross-functional teams. Share examples of how you've driven the delivery of AI-native products and ensured robust systems. Collaboration is key!