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Senior Engineer (VP of Engineering) - Artificial Intelligence

JR United Kingdom

London

On-site

GBP 80,000 - 120,000

Full time

6 days ago
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Job summary

A cutting-edge AI company in London is seeking a Senior Engineer (VP of Engineering) to lead their engineering team. In this role, you'll drive technical strategy, scale product offerings, and foster a collaborative culture, all while working with innovative machine learning and AI technologies. Ideal candidates will have proven experience in scaling teams, coupled with strong technical expertise in Python and cloud infrastructure.

Qualifications

  • Proven leadership in a SaaS B2B environment, ideally in AI/ML.
  • Experience scaling teams in start-ups or growth phases.
  • Deep technical fluency in Python and cloud infrastructure.

Responsibilities

  • Own technical strategy and execution across core products.
  • Lead and mentor a team, fostering a culture of excellence.
  • Oversee architecture decisions and system scalability.

Skills

Leadership
Technical strategy
Mentoring
Agile development
People-first leadership
Machine learning

Tools

Python
JS
React
AWS
GCP
Azure

Job description

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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
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