Salary: £69,000 - 109,000 per year
Requirements:
- Extensive professional experience in backend software engineering, with expertise in programming languages and technologies such as Python, Golang, gRPC, AWS, and Kubernetes
- 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
- 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
Responsibilities:
- 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, agentic frameworks, and core agent capabilities like 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 us 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
Technologies:
- AI
- AWS
- Architect
- Backend
- Databricks
- Golang
- Support
- Kubernetes
- LLM
- MCP
- MLflow
- Python
- Web
- gRPC
- Cloud
More:
We are Addepar, a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. We unify portfolio, market and client data in a total portfolio view and deliver AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use our platform to manage and advise on nearly $9 trillion in assets. Our open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. We support clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. We are seeking a Senior AI Engineer to join our AI Platform team, which 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. This role is high impact for an engineer who thrives on the frontier of applied AI and maintains a relentless focus on shipping. We are an equal opportunity employer committed to inclusion and belonging, and we provide reasonable accommodations for individuals with disabilities during the application and interview process. Applicants must have the right to work in the United Kingdom from the first day of employment, and visa sponsorship is not available for this role.
last updated 36 week of 2026
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Senior Software Engineer - AI/ML Platform employer: Addepar
Addepar is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. With a commitment to employee growth, the company offers extensive training and development opportunities, ensuring that team members are equipped to excel in their roles as Technical Success Managers. Located in the vibrant city of London, employees benefit from a diverse and inclusive environment that champions creativity and client success, making it a rewarding place to build a meaningful career.