Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Principal Engineer

myGwork
London
8 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Machine Learning Platform

Machine Learning Engineer - Autonomy

Principal Machine Learning Engineer

Executive Director / Principal Machine Learning Engineer

Machine Learning Engineer

Data scientist / ML engineer

This job is with Skyscanner, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

What are we looking forAt Skyscanner, our vision is to become the world's number one travel ally. As a

Senior Principal Engineer for Meta Search , you will play a key role in realising this vision by ensuring that our product experience is scalable, reliable, secure, usable and capable of supporting our global reach.As a Senior Principal Engineer, you will shape the technical direction of our meta search product, which connects over 110 million users each month across 180 countries and 37 languages to more than 1,200 flight, hotel, and car hire partners, enabling them to find the best prices.Meta search is central to our business, and the technical decisions we make have a direct and immediate impact on how users interact with our site and the traffic we drive to our partners. As the senior technical leader in this area of the business you will have a pivotable role in defining long term technical strategy, leading our engineers on how best to design and validate new product experiences across multiple UX platforms, ensuring that we operate securely and efficiently at scale, support the development and adoption of new technology standards, whilst guiding the evolution of our product platform APIs.Key ResponsibilitiesDefine and communicate the long-term technical vision for our meta-search product experience, ensuring alignment with business objectives, customer needs, and scalability goalsServe as the primary technical stakeholder driving the strategic evolution of Skyscanner's product platforms APIs, ensuring the meet the needs of a growing global user base and our internal engineering teamsProvide technical leadership for large-scale, multi-quarter product initiatives and transformation projects, delivering impactful outcomes that drive business growth and enhanced customer satisfactionCollaborate with cross-functional leaders to align product and engineering strategies on business objectives, driving cohesive plans and impactful resultsDrive innovation and the strategic adoption of emerging technologies (such as AI or edge computing) to enhance site performance, scalability, and user experience, fostering a culture of technical experimentation and informed prototyping aligned with long-term goalsSet and evolve technology guidelines for building globally available sites and apps, leveraging industry standards for UX architecture while fostering innovation tailored to customer needsInspire, coach, and mentor engineers to contribute to and refine the long-term technical vision, fostering technical expertise and strategic thinking across the organisationEnable high-quality, rapid technical decision-making by guiding engineers with clear frameworks, best practices, and technical expertise to navigate complex challengesFoster a culture of engineering collaboration by promoting internal open-source practices, encouraging teams to contribute to and reuse shared platforms, tools, and frameworks, driving consistency, innovation, and efficiency across the organisationChampion a culture of operational excellence and continuous improvement, empowering engineers to deliver resilient, high-performance systems and measurable efficiencies within a high-growth travel businessThe PersonExtensive experience in technical leadership for a globally available, high-traffic eCommerce site or digital-native environment, with a proven ability to drive scalability, resilience, and customer satisfactionStrong full-stack experience with modern UX technology stacks (native app and/or Web) and microservice-based distributed systems, leveraging languages such as Swift, Kotlin, Typescript or JavaProven expertise in product platform API strategy, design, implementation, and lifecycle management, with hands-on experience using JSON+REST and/or gRPC.Experience in designing and developing Data/AI-enabled products that deliver personalised user experiences, such as recommendation systems, dynamic pricing, or targeted content deliveryA proven advocate for data-informed decision-making, with experience implementing observability, analytics, and A/B testing frameworks to measure impact and drive continuous improvementExceptional stakeholder management skills, fostering collaboration across analytics, commercial, customer experience, data science, engineering, marketing, and product to deliver cohesive and impactful solutionsHands-on experience with cloud infrastructure services, including CDNs, web traffic security controls, and third-party integrations (e.g. Consent Management Platforms or GTM), ensuring performance, security, and complianceUnderstanding of the unique challenges and opportunities in building globally accessible applications, such as localisation, regional compliance, and infrastructure optimisationProven ability to collaborate with product organisations to define and uphold service levels, ensuring reliability, performance, and customer satisfactionDemonstrable experience fostering a culture of engineering collaboration, including driving adoption of internal open-source practices or contributing to leading open-source projects, building shared platforms, tools, or frameworks that enable teams to collaborate effectivelyDemonstrated success in leading and mentoring principal engineers, fostering technical excellence, career growth, and strategic impact across the organisationExperience working with distributed teams across different locations and timezones

#LI-DNI

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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.