At a Glance
- Tasks: Lead the development of AI-native products and transform the wealth technology landscape.
- Company: Join Addepar, a global leader in data and AI for investment professionals.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team focused on innovation and continuous improvement.
- Why this job: Make a real impact with cutting-edge AI technologies in a dynamic environment.
- Qualifications: Experience in software engineering and a passion for AI/ML projects.
The predicted salary is between 80000 - 100000 £ per year.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets.
The Role
We are currently seeking a Staff Software Engineer with AI/ML background to join our Reference Data team. The reference data team at Addepar is responsible for managing the data reconciliation and curation process for market data providers to build a single source of truth and provide alignment across public and alternative investment data products for the client to manage their investment portfolio.
As an engineer on the team you will partner with product teams at Addepar to understand their business needs. The team is focused on enabling and building disruptive, innovative solutions to transform the wealth technology landscape with AI across our product suite and is growing quickly. You will be responsible for architecting, leading, and driving the execution of the core AI capabilities that power our platform. This is a high-impact role for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping.
You will not just work with LLMs and agentic frameworks; you will own the end-to-end delivery of AI-native products, ensuring that cutting-edge AI systems are hardened into robust, scalable, and high-performance production systems. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.
What You’ll Do
- Drive the end-to-end execution and delivery of AI-native products, moving from initial prototype to scalable production services with high velocity.
- Architect, build, and productionize core components of our AI platform – including: LLMs and the surrounding ecosystem (e.g., vector DBs, prompt tuning, etc.), agentic frameworks, and core agent capabilities like MCP/cross-platform tool use, web browsing, computer use.
- Enforce technical discipline and operational excellence for all of our AI products.
- Rapidly iterate on AI products based on performance metrics and user feedback to drive continuous improvement.
- Lead the evaluation and adoption of new AI technologies and frameworks to keep Addepar on the frontier of the industry.
- Partner with product managers and other engineering teams to translate strategic goals into technical realities, abstracting AI complexity so they can iterate quickly.
- Collaborate closely with our engineering leads to define and implement our platform architecture to meet Addepar’s growth and scalability needs.
- Evaluate and drive strategic business and technology decisions for the company and for customers.
- Be a technical thought leader in multiple areas who educates and shares best practices.
Your contributions deliver strategic and prescriptive guidance.
Who You Are
- B.S., or M.S. in Computer Science or similar technical field of study (or equivalent practical experience).
- Extensive software engineering experience.
- Proven track record of owning and shipping complex, production-grade systems.
- Proven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AI.
- Deep ownership mindset, seeing projects through to completion and raising the bar for execution across the team.
- A strong bias for action, with a passion for shipping rapidly and iterating with feedback.
- BS/MS in Computer Science, Statistics, Mathematics, or another quantitative field, or equivalent experience [Preferred].
- Specific experience with LLMs and agentic systems [Preferred].
- Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred].
- Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred].
- Experience building AI products in highly accuracy-sensitive domains such as finance is a plus.
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
Staff Software Engineer - Reference Data - AI/ML (UK) in Edinburgh employer: Who We Are Addepar
Addepar is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to take ownership of their projects while delivering meaningful solutions for clients. With a strong commitment to diversity and inclusion, Addepar offers ample opportunities for professional growth and development, particularly in its vibrant London office, where employees can thrive in a fast-paced environment while working with cutting-edge technology in the finance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer - Reference Data - AI/ML (UK) in Edinburgh
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We think you need these skills to ace Staff Software Engineer - Reference Data - AI/ML (UK) in Edinburgh
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Who We Are Addepar.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Who We Are Addepar and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at Who We Are Addepar
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Who We Are Addepar uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
