Apple Inc.

Apple Inc. in London is seeking an Engineering Manager for ML Infrastructure to own components of the cloud AI inference stack and lead the teams that build them. You will hire, grow, and coach engineers, define a credible technical roadmap, and make architectural calls to keep delivery on track across time zones with ML research, hardware, and platform partners. You should be technically credible, able to review designs, and committed to privacy-by-design in a cutting-edge AI platform.

Selection changes the language of the page/content App Store Business Manager - Israel London, England, United Kingdom Software and Services The App Store is the world's safest and most vibrant app marketplace, serving more than 800 million visitors each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and technology they need to build a brighter future and a better world, serving hundreds of millions of iPhone, iPad, Apple TV, Apple Watch, iMessage, Vision Pro and Mac customers. It has enabled countless new companies, spawned new industries, and created millions of jobs. A significant driver of the global economy, the App Store facilitates over $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we're just getting started! Description The team is seeking a passionate and results-oriented Apps business manager to develop strategies and actionable solutions that help app developers optimize performance, seize opportunities, and grow their business on the App Store. In this role, you will use your industry experience, critical thinking skills, and deep interest in technology to create impact for our partners and for the App Store. Responsibilities Support and expand business relationships with apps developers in Israel. Implement business optimization strategies with strategic developers, helping them grow their business on the App Store by providing data-driven actionable business guidance, identifying new business opportunities, and promoting the adoption of our latest platform features. Advocate for developer-centric platform improvements based on partner feedback, market research, and internal analysis. Identify and execute new business opportunities; partnering with cross-functional teams across product, monetization, marketing, commerce, and legal to gain support for strategic growth initiatives. Minimum Qualifications Relevant experience across business development, partnership management, or product management, ideally within the mobile app space; including a network in the local developer community. Deep knowledge of apps go-to-market processes, in-app purchases and subscriptions economics, being able to provide strategies to optimize and drive mobile business growth. Strong communication skills and ability to collaborate with cross-functional teams across product, editorial, marketing, commerce, and legal to move strategic initiatives forward. Preferred Qualifications Proficiency in English at the business level is mandatory, and fluency in Hebrew is highly preferred. Candidates meeting the minimum requirements from any education background are encouraged to apply. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace

Apple Inc. in London/UK seeks a passionate Apps Business Manager to develop strategies that help app developers optimize performance and grow their business on the App Store. You will use industry experience and critical thinking to create impact for partners and for the App Store. The role requires experience in business development and partnerships, with strong English communication and a preference for Hebrew.

Selection changes the language of the page/content App Store Business Manager - Israel London, England, United Kingdom Software and Services The App Store is the world's safest and most vibrant app marketplace, serving more than 800 million visitors each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and technology they need to build a brighter future and a better world, serving hundreds of millions of iPhone, iPad, Apple TV, Apple Watch, iMessage, Vision Pro and Mac customers. It has enabled countless new companies, spawned new industries, and created millions of jobs. A significant driver of the global economy, the App Store facilitates over $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we're just getting started! Description The team is seeking a passionate and results-oriented Apps business manager to develop strategies and actionable solutions that help app developers optimize performance, seize opportunities, and grow their business on the App Store. In this role, you will use your industry experience, critical thinking skills, and deep interest in technology to create impact for our partners and for the App Store. Responsibilities Support and expand business relationships with apps developers in Israel. Implement business optimization strategies with strategic developers, helping them grow their business on the App Store by providing data-driven actionable business guidance, identifying new business opportunities, and promoting the adoption of our latest platform features. Advocate for developer-centric platform improvements based on partner feedback, market research, and internal analysis. Identify and execute new business opportunities; partnering with cross-functional teams across product, monetization, marketing, commerce, and legal to gain support for strategic growth initiatives. Minimum Qualifications Relevant experience across business development, partnership management, or product management, ideally within the mobile app space; including a network in the local developer community. Deep knowledge of apps go-to-market processes, in-app purchases and subscriptions economics, being able to provide strategies to optimize and drive mobile business growth. Strong communication skills and ability to collaborate with cross-functional teams across product, editorial, marketing, commerce, and legal to move strategic initiatives forward. Preferred Qualifications Proficiency in English at the business level is mandatory, and fluency in Hebrew is highly preferred. Candidates meeting the minimum requirements from any education background are encouraged to apply. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace

Apple Inc. in London is seeking a passionate Apps Business Manager to drive growth for developers on the App Store. You will craft strategies, leverage your industry experience, and partner with product, monetization, marketing, and legal teams to seize opportunities and optimize performance. The role emphasizes a developer-centric approach, data-driven guidance, and collaboration across teams to deliver strategic growth initiatives and platform improvements.

Apple Inc. in London is seeking a Senior Engineering Program Manager to lead Global SRE initiatives, aligning priorities across time zones while managing ambitious infrastructure migrations and resilience projects. You will partner with the London SRE Manager, drive planning, capacity forecasting, and cross-functional execution, and personally own high-impact programs to accelerate progress while maintaining clear communication across teams.

Selection changes the language of the page/content Senior Engineering Program Manager - Global SRE London, England, United Kingdom Software and Services Are you an Engineering Program Manager who thrives in fast-moving, highly dynamic environments where priorities evolve quickly and no two days look the same? Do you excel at creating clarity, alignment, and momentum across complex, high-stakes work? Join the AI, Search & Knowledge Platform Global SRE team; the organization responsible for keeping some of Apple's most heavily used, always-on AI and Search infrastructure reliable, resilient, and scalable.As the Senior EPM for Global SRE, you will serve as a trusted partner to our London-based SRE Manager, extending their reach and driving alignment, visibility, and execution across time zones. This is a fast-moving, highly dynamic environment with an established operating cadence and a constant flow of new priorities. You will bring structure to ambiguity without creating unnecessary overhead, using sound judgment, adaptability, and a pragmatic approach to keep teams moving.This is also a hands-on role. You will engage deeply in the technical and operational details and personally lead high-impact programs, such as complex infrastructure migrations, when direct ownership is needed to accelerate progress.You will be the connective force that keeps a global SRE organization aligned, informed, and ahead of emerging risks and priorities. Description We are looking for an exceptional Engineering Program Manager to join our team and partner closely with ASK Global SRE.In this highly visible role, you will work alongside the London-based SRE Manager as a trusted partner and force multiplier across the organization's global scope.-You will help strengthen operational excellence by identifying and closing gaps in processes, tooling, planning, and execution across a complex, matrixed SRE environment.-You will bring structure and clarity to ambiguous, fast-moving inputs; including incidents, planning cycles, capacity forecasts, migrations, and leadership priorities and translate them into actionable plans with clear ownership, milestones, and timelines.-This is a hands-on program leadership role. You will go beyond tracking execution to deeply engage in the technical and operational details, personally driving high-impact infrastructure and platform programs from planning through delivery. You will partner with engineering teams on capacity forecasting, resource utilization, operational readiness, and continuous improvement, while identifying scalable approaches that improve the stability, resilience, and agility of our environments.-You will also evaluate existing workflows and recommend improvements that increase efficiency, consistency, accuracy, and scalability across the organization.-Clear, proactive communication is central to this role. You will use collaboration channels as an operational signal, synthesizing complex information, surfacing risks and dependencies, escalating critical issues, and ensuring teams and leaders remain aligned and informed.-Because many of the role's key partners are based in California, working hours will primarily align with the afternoon and evening in London, providing meaningful real-time overlap with both California-based teams and London counterparts. Minimum Qualifications -5+ years of Technical Program/Project Management experience in a dynamic, fast-paced, global infrastructure or SRE environment. -Demonstrated ability to bring structure to ambiguous, fast-moving, multi-team environments; organizing chaos without over-engineering process (resourceful problem-solving). -Self-motivated, independent, and proactive; able to operate with minimal oversight and make sound real-time judgment calls. -Excellent problem-solving, analytical, and critical-thinking skills; able to quickly triage, prioritize, and lead cross-functional teams under pressure. -Willingness and ability to work evening hours to maximize real-time overlap with California-based teams. Preferred Qualifications -10+ years of Technical Program Management experience, ideally spanning global internet services, large-scale international user bases, and responsibility for rapid-response operations. -Experience partnering directly with or effectively acting as an extension of an SRE manager/lead - operating with their judgment and authority when they're unavailable. -Familiarity with AI/ML, search, or knowledge platform infrastructure at scale. -Proven track record of raising team maturity improving processes, driving tooling adoption, and establishing operational consistency across newly formed or still-developing teams. -Strong technical/infrastructure background; bonus points for past hands-on engineering experience. -Innate drive to improve how things work, with a proven record of driving dramatic improvements in team quality, performance, agility, or effectiveness. -Capability to foster collaboration across cross-functional, globally distributed teams. -Experience building or improving communication and knowledge-sharing systems for a distributed org (Slack tooling/bots, digests, runbook hygiene, etc.). -BS/MS in EE/CS/CE or a relevant field, or equivalent practical experience. -Strong customer-service orientation; able to prioritize and manage multiple simultaneous requirements while pushing back when needed to protect alignment with priorities. -Outstanding written and verbal communication skills, with genuine fluency operating through Slack, docs, and async channels across time zones - comfortable being the one who "scrubs" the noise and keeps everyone current. -Experience in large-scale, global infrastructure environments. -Direct, hands-on experience leading or heavily supporting infrastructure migrations or major operational cutovers, not just tracking them, but getting into the details yourself. At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace

Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom Corporate Functions At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principlal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Description Our Principal Machine Learning Engineers are technical leaders who shape the direction of intelligent systems across Apple. In this role, you will own the end to end lifecycle of an internal generative AI system at global scale - from pre training LLM strategies and reinforcement learning from human feedback (RLHF) through fine tuning, alignment, evaluation, and production deployment. You will architect and deliver standalone AI powered products and platform capabilities that operate reliably at global scale. You will establish rigorous benchmarking and evaluation frameworks to measure LLM performance across accuracy, latency, safety, and fairness dimensions. You will drive model customisation strategies, including prompt engineering, parameter efficient fine tuning (LoRA, QLoRA), and full fine tuning, tailored to diverse product requirements. You will design and build production grade inference systems, working across Swift, Java, and Python to integrate ML capabilities seamlessly into Apple's ecosystem. As a senior technical contributor, you will set engineering standards, mentor engineers, and influence the technical roadmap for generative AI adoption across the organisation. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more

A leading technology firm in London is seeking a Principal Machine Learning Engineer to drive the design and deployment of AI-powered products. This high-impact role requires hands-on experience in Machine Learning engineering and a deep understanding of LLM fine-tuning and alignment. The ideal candidate will architect production systems and mentor engineers while ensuring compliance with the company's standards. This is an excellent opportunity to shape the future of AI at a global scale.