At a Glance
- Tasks: Design and scale data foundations, deploy AI/ML systems, and develop proprietary data products.
- Company: Join a $1bn AUM deep tech venture capital firm with a cutting-edge portfolio.
- Benefits: High autonomy, direct access to partners, and no bureaucratic silos.
- Other info: Work alongside sector experts in frontier tech fields like semiconductors and biotech.
- Why this job: Be the sole architect of data and AI infrastructure in a high-impact environment.
- Qualifications: 2-4 years in data or ML engineering, proficient in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
Deep tech venture capital firm with $1bn AUM and a portfolio of 60+ IP-rich companies across AI, quantum, and biotech.
You will serve as the sole architect of the firm's data foundations and automation workflows. This high-autonomy role bridges the investment and platform teams, empowering you to build proprietary data products and deploy pragmatic AI/ML solutions that directly influence deal sourcing, portfolio monitoring, and fund operations at a premier European venture fund.
Location: London, UK
Why this role is remarkable:
- Rare opportunity to join a technical investment team of 18 as a "team of one," with direct access to partners and no bureaucratic silos.
- Full ownership of the firm's technical edge, building the core data and AI infrastructure from the ground up rather than performing one-off analyses.
- Deep immersion in the frontier tech ecosystem, working alongside sector experts and founders in high-impact fields like semiconductors and biotech.
What You Will Do:
- Design and scale the firm's data foundations, including sophisticated modeling, enrichment, and governance for internal and external data sources.
- Deploy pragmatic AI/ML systems such as LLM-enabled research tools and automated document analysis to drive organizational leverage.
- Develop proprietary data products that provide a competitive advantage in market mapping, investment diligence, and portfolio reporting.
The ideal candidate:
- 2-4 years of professional experience in data or ML engineering with a proven track record of shipping and owning production systems.
- High proficiency in Python and SQL with the ability to build end-to-end data solutions from ingestion to user-facing applications.
- Commercially minded problem-solver who can translate ambiguous strategic needs into durable technical systems within a high-judgment environment.
Product + Automation Engineer at $1bn AUM deep tech venture capital firm in London employer: Jack & Jill
Join a pioneering deep tech venture capital firm in London, where you will have the unique opportunity to shape the future of data and automation in a high-autonomy role. With a focus on innovation and collaboration, the firm offers a dynamic work culture that encourages creativity and direct engagement with partners, ensuring your contributions have a meaningful impact on cutting-edge technologies. Employees benefit from a supportive environment that fosters professional growth and provides exposure to the forefront of AI, quantum, and biotech sectors.
