National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

UST | Director of Engineering for Digital Servicing (Mobile App & Web Technologies)

UST
Newcastle upon Tyne
6 months ago
Applications closed

Who we are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.


UST is a mission-driven group of over 30,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.


With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.


Visit us at UST.com.


This is a one-year fixed term contract.


You Are:


We are looking for aDirector of Engineering for Digital Servicing (Mobile App & Web Technologies)with deep mobile expertise along with other digital channels.

You will be a highly experienced technical leader, accountable for driving innovation and engineering excellence across the team.


You are a director-level individual contributors (IC) who will work alongside our talented team of developers, machine learning experts, product managers and people leaders. You will be an expert, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimise business outcomes while driving towards strong technology solutions.


You will manage a specialist team responsible for delivering web and mobile experiences using a suite of modern technologies, you will explore ways to harness the power of emerging technologies, delivering customised, curated capabilities for the end customers.



The Opportunity:

  • Serve as an authoritative engineering expert across functional and non-functional requirements, and a problem solver to Engineering teams (digital services)
  • A hands-on active leader, building POC’s, investing capabilities, or pairing/teaching other engineers, decomposing complex problems into practical and operational solutions
  • Articulate and evangelise a bold technical vision, develop and execute the digital servicing technology strategy
  • Be an advocate for modern technologies and patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers)
  • Champion a culture of engineering excellence, continuous improvement, and being well managed, using opportunities to reuse and inner source solutions where possible
  • Operate as a trusted advisor for across digital servicing, helping to shape use-cases and implementation in a unified manner
  • Build strong relationships across the UK and the broader group to influence and drive adoption of best practices
  • Ensure the Mobile App remains scalable, resilient, and delivers a best-in-class customer experience
  • Exhibit a deep understanding of security best practices, compliance requirements, and emerging threats.
  • Design and implement comprehensive observability solutions across digital servicing that provide deep insights into the behaviour, performance, and health of complex distributed systems



What you need:

  • Recognised as a leading expert in digital servicing, with deep understanding of industry trends and how they can be leveraged by the business to inform our strategic direction
  • A technology expert with deep expertise in Mobile, Java and AWS cloud technologies, with some experience of Web technologies
  • Proficient in software development principles, patterns, and practices. Able to drive the adoption of modern software engineering methodologies and tools, ensuring consistency and quality across teams.
  • An effortless communicator across tech, architecture, product and other senior stakeholders, both within the UK and across the wider group
  • An inspirational leader, coach and mentor for a broad engineering group
  • Able to set and deliver a strategy for digital servicing in partnership with the product team
  • Experienced in the full life cycle of software delivery, including operational ownership (SRE)
  • Able to provide expert guidance and problem-solving across all digital servicing channels



What we believe:

We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone, to champion diversity and inclusion, and to place people at the center of everything we do.


Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.


Humanity:

Through business, we will better the lives of those less fortunate than ourselves.


Integrity:

We honor our commitments and act with responsibility in all our relationships.



Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.