job
Information Technology
Hybrid
Sponsorship Not Stated

Head of Data Engineering and Machine Learning

Quantum
Germany
Verified OpportunityChecked by PathwayAI staff.

Role Summary

Join Quantum as the Head of Data Engineering and Machine Learning in London, leading teams to drive data-driven success. Hybrid work and competitive benefits offered.

About the Organisation

Our CompanyAt Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.The Role

Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London.

In this role you will lead the data and ML teams that power the Quantum Platform, own the technical strategy and delivery roadmap for our data infrastructure and model estate, and turn business ambition into intelligence that scales.

  • Proven experience leading and developing data engineering or ML teams, setting direction and building capability
  • A track record of delivering data and ML platforms that drove real customer and business results
  • Hands-on technical credibility: you enjoy getting into the detail to help your team land the right solution
  • Able to translate technical complexity into clear, business-relevant narratives for stakeholders at every level
  • Strong commercial acumen, comfortable engaging senior stakeholders on revenue, growth and competitive advantage
  • You thrive when working as part of a team
  • Comfortable in a fast-paced environment
  • Have excellent written and verbal English skills
  • Last but not least, you’ll have no ego!

Key Responsibilities

  • Build, lead and develop a high-performing data engineering and ML team, recruiting and retaining engineers who take pride in what they ship and how it performs
  • Set and own the data engineering and ML technical strategy, so our data infrastructure and model estate scale with the business
  • Lead the delivery roadmap, meeting business objectives and making well-reasoned trade-offs where they are needed
  • Partner with product, marketing, commercial and executive leadership to shape data and ML priorities that move business performance
  • Set the technical bar and drive adoption of AI-led development across the function, staying close to the code where it counts

Working Conditions

What’s the next step?

Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.

If you like the sound of what we're all about at Quantum and want to join a team where you can make an impact, please apply or contact us at -----Find more English Speaking Jobs in United Kingdom on Arbeitnow

  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Competitive Base Salary
  • Company Bonus Scheme
  • Paid for AI Subscription (Claude / ChatGPT / Gemini)
  • Market-Leading Training Programme
  • Recognition & Reward Scheme
  • Annual Company Conference
  • Regular Happy Hours & Team Lunches
  • Free Coffee, Drinks & Snacks

Requirements

Data Engineering
Machine Learning
Team Leadership

Eligibility Criteria

No clear information about the eligibility of international applicants, including those from Africa.

Exp. LevelNot specified
EducationNot specified

⚠️ Disclaimer: PathwayAI Africa does not guarantee employment, scholarships, visas, or admission. Always verify all opportunities through official sources before submitting personal information.

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Published On
August 8, 2026
Application Deadline
Ongoing / No specific deadline
Location
London (hybrid)
Employment Type
Full Time • Hybrid
Source
Arbeitnow
Last verified: August 8, 2026
Degree Level
Any
Visa Sponsorship
Sponsorship Information Not Stated
Africa Eligibility
International — African Eligibility Unclear
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