Senior Engineer (VP of Engineering) - Artificial Intelligence

JR United Kingdom; Slough; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading AI company based in Slough is seeking a Senior Engineer (VP of Engineering) to lead and grow a talented team. You will be responsible for shaping the technical direction, ensuring high performance in delivering ML and AI-powered tools for the financial sector.

Qualifications

• Proven leadership in a SaaS B2B environment.
• Experience in scaling teams in start-ups.
• Deep technical fluency in Python and cloud infrastructure.

Responsibilities

• Own technical strategy and execution across core products.
• Lead and mentor a growing team, fostering technical excellence.
• Oversee architectural decisions and ensure consistent delivery standards.

Skills

Leadership

Technical fluency in Python

Agile development

Tools

Cloud infrastructure (Azure preferred)

Python

React

JS

AWS/GCP

Job description

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Senior Engineer (VP of Engineering) - Artificial Intelligence, slough

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Client:

Venture Search

Location:

slough, 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