Senior Engineer (VP of Engineering) - Artificial Intelligence

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Senior Engineer (VP of Engineering) - Artificial Intelligence, london col-narrow-left
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

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