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Senior Engineer (VP of Engineering) - Artificial Intelligence, london
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Client:
Venture Search
Location:
london, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Views:
3
Posted:
10.06.2025
Expiry Date:
25.07.2025
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Job Description:
Our client is a cutting-edge AI company helping the world’s top financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics.
You’ll lead and grow a talented team, build a world-class engineering culture, and work hand-in-hand with commercial and product teams to deliver ML/AI-powered tools that solve real-world problems in commodities and financial markets.
What You’ll Be Doing:
- Own the technical strategy and execution across core products, including real-time API services, forecasting engines, and LLM-driven insights.
- Partner with Product and Data Science to build and deliver the technology roadmap aligned with strategic priorities.
- Lead and mentor a growing team (currently ~10, with plans to scale), fostering a culture of technical excellence, ownership, and speed.
- Oversee architecture decisions, system scalability, and efficient data infrastructure design.
- Ensure engineering and delivery standards are met consistently while staying hands-on with key decisions.
- Hire top-tier talent and promote an inclusive and collaborative team environment.
- Oversee IT, DevOps, InfoSec, and Customer Engineering, ensuring smooth internal operations and secure infrastructure.
- Represent engineering on the leadership team, communicating clearly across tech, product, and commercial functions.
What You Bring:
- Proven leadership in a SaaS B2B environment, ideally in an AI/ML or data-centric company.
- Experience scaling teams in start-ups or Series A/B growth phases (experience at both start-up and enterprise level is a bonus).
- Deep technical fluency across Python, distributed systems, cloud infrastructure (Azure preferred), and scalable architectures.
- Strong understanding of Agile development, continuous delivery, and lean team dynamics.
- People-first leadership style with a track record of mentoring and developing high-performing teams.
- Exposure to machine learning, NLP, or financial data products is highly desirable.
- Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking.
Tech We Work With:
- Python, React, JS
- AWS/GCP exposure