AI/ML Quality Engineering

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📍 United Kingdom

About this role

Role description:

Own the engineering delivery roadmap - Partner with customer leadership to define and execute technical roadmaps that balance speed, quality, and long-term maintainability, aligned to the customer's broader business goals.

Lead AI-driven engineering transformation - Drive AI adoption across the engineering lifecycle, from developer tooling (AI-assisted coding, review, testing) through to embedding AI/ML into customer's products with a clear focus on cost optimisation and delivery velocity.

End-to-end technical ownership - Take full accountability for the design, build, and delivery of highly available, scalable, cloud-native systems, ensuring reliability and performance at production scale.

Collaborative cross-functional leadership - Work closely with the customer and partner teams (Product, Design, Engineering) to shape priorities, OKRs, and architecture decisions as one integrated team.

Team leadership and capability building - Lead, mentor, and grow the deployed Zensar engineering team, embedding best practices in code quality, testing, and CI/CD, and building a strong team.

Represent engineering in governance and planning - Contribute to customer's planning, budgeting, and leadership and executive reporting cycles; surface and resolve technical debt, bottlenecks, and cross-team dependencies early.

Bring Zensar's advanced engineering practice to the customer's landscape - Act as the conduit for Zensar's broader engineering innovation, best practices, and accelerators, and participate in the customer's leadership forums as Zensar's senior technical voice.

Champion culture and ways of working - Foster a healthy, inclusive, high-performing engineering culture across the combined Zensar & customer team

Role description:

Own the engineering delivery roadmap - Partner with customer leadership to define and execute technical roadmaps that balance speed, quality, and long-term maintainability, aligned to the customer's broader business goals.

Lead AI-driven engineering transformation - Drive AI adoption across the engineering lifecycle, from developer tooling (AI-assisted coding, review, testing) through to embedding AI/ML into customer's products with a clear focus on cost optimisation and delivery velocity.

End-to-end technical ownership - Take full accountability for the design, build, and delivery of highly available, scalable, cloud-native systems, ensuring reliability and performance at production scale.

Collaborative cross-functional leadership - Work closely with the customer and partner teams (Product, Design, Engineering) to shape priorities, OKRs, and architecture decisions as one integrated team.

Team leadership and capability building - Lead, mentor, and grow the deployed Zensar engineering team, embedding best practices in code quality, testing, and CI/CD, and building a strong team.

Represent engineering in governance and planning - Contribute to customer's planning, budgeting, and leadership and executive reporting cycles; surface and resolve technical debt, bottlenecks, and cross-team dependencies early.

Bring Zensar's advanced engineering practice to the customer's landscape - Act as the conduit for Zensar's broader engineering innovation, best practices, and accelerators, and participate in the customer's leadership forums as Zensar's senior technical voice.

Champion culture and ways of working - Foster a healthy, inclusive, high-performing engineering culture across the combined Zensar & customer team

Must be educated to at least degree level or equivalent.

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

Frequently Asked Questions

Is the salary disclosed for the AI/ML Quality Engineering position at Zensar?
The salary for this AI/ML Quality Engineering role at Zensar is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the AI/ML Quality Engineering position at Zensar located?
This AI/ML Quality Engineering role at Zensar is based in United Kingdom. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the AI/ML Quality Engineering position at Zensar?
Click the "Apply Now" button on this page. You will be redirected to Zensar's official application portal hosted on oraclecloud where you can submit your application directly.
When was the AI/ML Quality Engineering job at Zensar posted?
This AI/ML Quality Engineering position at Zensar was posted on Oct 1, 2026. Apply as soon as possible — early applications are often reviewed first.
AI/ML Quality Engineering
Zensar
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