Staff Software Engineer - Reference Data - AI/ML (UK) Edinburgh, UK

Addepar; City of Edinburgh; On-site; GBP 70,000 - 90,000; Full time

Job summary

Addepar is looking for a Staff Software Engineer in Edinburgh to join their Reference Data team. This role involves architecting and leading AI-native product development. Candidates should have a strong background in software engineering and AI, with a focus on ownership and rapid iteration. You will collaborate with product teams to transform innovative solutions into scalable systems. The ideal candidate possesses a B.S. or M.S. in Computer Science or related field, extensive experience in software engineering, and familiarity with modern AI technologies.

Qualifications

• Proven track record of owning and shipping complex, production-grade systems.
• Experience shipping and maintaining AI-native products or features.
• Strong bias for action with a passion for rapidly iterating.

Responsibilities

• Drive the end-to-end execution and delivery of AI-native products.
• Architect, build, and productionize core components of our AI platform.
• Iterate on AI products based on performance metrics and user feedback.

Skills

Software engineering

AI-native product development

Project ownership

Agile methodologies

Technical leadership

Iterative development

Collaboration

Problem solving

Education

B.S. or M.S. in Computer Science or similar field

Equivalent practical experience

Tools

Databricks

Langchain

MLFlow

Job description

Staff Software Engineer - Reference Data - AI/ML (UK)

Edinburgh, UK

About 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. This role does not have visa sponsorship available.

What You’ll Do

• Drive the end-to-end execution and delivery of AI-native products, moving from prototype to scalable production services with high velocity
• Architect, build, and productionize core components of our AI platform – including LLMs, vector DBs, prompt tuning, and agentic frameworks
• Leverage core agent capabilities such as MCP, cross-platform tool use, web browsing, and 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 and share best practices to 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.

Equal Opportunity Employer

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 are committed to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will provide reasonable accommodation to ensure participation in the job application or interview process, performing essential job functions, and other benefits and privileges of employment. Please contact us to request accommodation.