Senior Principal Engineer

myGwork
Glasgow
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Principal Software Engineer

Principal MLOps Engineer - Chase UK

Principal Data Scientist / AI Engineer

UNPAID VOLUNTEER - Principal/Senior Technology Officer (Artificial Intelligence)

Senior Software Engineer (GO/PHP)

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

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.