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: Join a dynamic team focused on delivering cutting-edge AI-native products.
- Why this job: Transform the wealth tech landscape with your AI expertise and make a real impact.
- 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 in Edinburgh employer: Addepar
Addepar is an exceptional employer that fosters a culture of innovation and collaboration 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. Our commitment to a supportive work environment ensures that every team member can thrive while making a meaningful impact in their role.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI/ML Platform Engineer – Reference Data in Edinburgh
✨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 your CV 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 us see what you've built and how you’ve applied AI in real-world scenarios.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills and understanding of AI/ML concepts. We recommend practicing common interview questions and even doing mock interviews with friends or mentors.
✨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 directly with us.
We think you need these skills to ace Staff AI/ML Platform Engineer – Reference Data in Edinburgh
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 passionate about AI and how you can contribute to our Reference Data team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in AI/ML. We’re looking for innovative thinkers who can drive the delivery of AI-native products, so let us know how you’ve made an impact in previous roles!
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 follow the prompts!
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 showing your expertise will definitely impress.
✨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, as this will demonstrate your ability to drive innovative solutions.
✨Understand the Company’s Vision
Do a bit of homework on Addepar and their approach to wealth technology. Familiarise yourself with their products and how they leverage AI. This knowledge will help you align your answers with their goals and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about their current AI initiatives, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company culture and role are the right fit for you.
