Amazon

Sr. Product Manager - Shop with Points, EU Co-Branded Credit Cards, Amazon Payment Products Amazon's Shop With Points (SWP) program enables tens of millions of customers to use their credit card, bank, or loyalty rewards points to pay for purchases on Amazon. We are expanding SWP globally - with a focus on Europe - and are looking for a Product Manager to own the end-to-end launch of new SWP partner programs in EU marketplaces. This PM will be the single-threaded owner for bringing new rewards partners live across EU countries, starting with our Revolut partnership expansion and future EU direct-integration partners. You will work cross-functionally with engineering, business development, legal, compliance, and external partners to deliver seamless integrations that delight customers. Key job responsibilities Own EU partner launch roadmap: Define and execute the strategy for onboarding new SWP partners in EU marketplaces (UK, DE, FR, IT, ES, and beyond). Drive end-to-end delivery: Manage the full partner launch lifecycle - from commercial agreement through technical integration, UAT, compliance, and go-live. Partner management: Serve as the primary PM point-of-contact for EU partners during integration and launch; align internal and external stakeholders on milestones and dependencies. Scale the launch playbook: Build repeatable processes, tooling, and documentation that reduce time-to-launch for subsequent EU partners. Cross-functional coordination: Work closely with SWP Core Platform engineering, legal, compliance, finance, and marketing teams across NA and EU to remove blockers and accelerate delivery. Regulatory & compliance navigation: Partner with legal and compliance teams to ensure programs meet EU financial services regulations (PSD2, data privacy/GDPR, etc.). Metrics & reporting: Define success metrics for each launch (activation rate, points redemption volume, GMS contribution) and report progress to leadership. Contribute to WW SWP strategy: Inform the broader SWP 3 Year Plan with EU market insights, partner pipeline prioritization, and competitive intelligence. Basic Qualifications Experience working with and managing third-party vendors, or leading cross-functional teams across engineering, operations, and field execution through launch readiness and go live phases. Experience working across teams and influencing teams that are not your own. Experience working with global cross-functional teams. Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field. Several years of product management or technical program management experience. Preferred Qualifications Experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites. MBA, or advanced degree. Experience in payments, fintech, financial services, or loyalty/rewards programs. Familiarity with EU financial regulations (PSD2, Open Banking, GDPR). Experience launching products in European markets. Experience with aggregator/platform integration models. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon's Shop With Points (SWP) program enables tens of millions of customers to pay for purchases using cards, bank transfers, or loyalty points. We are expanding SWP globally with a focus on Europe and seek a Sr. Product Manager to own EU partner launches, starting with Revolut and future EU partners. You will be the single-threaded owner for bringing new partners live across EU countries, working with engineering, legal, compliance, finance, and marketing to deliver seamless integrations that

Job ID: Amazon EU SARL (UK Branch) - D67 This role can be based in any of these locations: London, Paris, Milan or Madrid. ProServe is a new retail science consulting organization we are launching within EU Amazon Vendor Services (AVS), designed to address the most pressing and complex issues held by the senior leadership of our largest vendors and brands. We start from the customer's problem and work backwards to apply distinctive results that "only Amazon" can deliver, and develop science-driven capabilities that create differentiating insight. We serve our clients through the development of customer and retail strategies that enable their long term growth via a combination of strategy consulting methodologies, data science, and decades of proprietary transaction data and eCommerce expertise. As a Senior Consultant, you will work with senior leaders of our largest vendors to tackle their most critical Customer, Product, and Channel eCommerce issues. You will use your customer understanding and industry insight to plan and execute engagements that transform vendor strategy and change the trajectory of their business growth. You will also work directly with our dedicated Data Science team to prototype custom solutions with the potential to scale to hundreds of vendors, and even change the market. As a core team member you will also work with vendors, team members, and internal and external partners to influence the way we work, how we serve customers, and where we invest in future capabilities. This is an ideal role if you are looking to leverage your client service skills while broadening your understanding of Product Management, Data Science, and other hands on business ownership roles in the technology industry. We are open to strong-performing client service professionals with an analytical mindset and a track record of driving change, including industries and functions such as management consulting, corporate or marketing strategy and planning. The ideal candidate will have a strong combination of leadership experience and problem solving capabilities. They will have closely worked with an executive leader in their organization and/or as a consultant to executive clients. They will be proficient in data analysis and AI. They will be curious learners looking for challenges and growth. They will serve as trusted advisors for our vendor's business executives and leaders. Key job responsibilities Delivery: Define and plan out complex integrated workstreams, delivering executive and board level briefings and materials, and taking responsibility for the engagement's success. Engagement: Take ownership of driving the project towards a bar-raising outcome. Be the face of the engagement team for vendors. Program enhancement: Proactively share feedback and learning from engagements with Product Managers and Data Scientists to better design tools/frameworks for an enhanced client experience. This is a customer facing role with relevant business travel when needed. Basic Qualifications Bachelor's degree or equivalent Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations Experience delivering results for large, cross functional initiatives/projects, or experience communicating results to senior leadership Knowledge of writing and optimizing SQL queries in a business environment with large scale, complex datasets 5+ years of experience in strategy consulting, developing and deploying growth strategies at Executive/General Management level Preferred Qualifications Experience in advising and influencing executive leadership Experience within e-commerce or Retail fields MBA from a top tier business school Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon AWS ProServe is seeking a Senior Delivery Consultant to design, implement, and manage AWS solutions that meet customers' technical and business objectives. You will lead complex migrations, architect scalable cloud architectures, and mentor teams on best practices, security, and performance optimization. You will work with stakeholders to gather requirements, assess current infrastructure, and guide customers through modernisation patterns while leveraging containerised and serverless

Amazon is seeking a hands-on, security-focused Sr. Delivery Consultant for Global ProServe Security. You will design, build, and implement security solutions within real customer environments, writing infrastructure as code and embedding security as a foundational capability. You will partner with customers through cloud transformations, bringing deep AWS security service knowledge to automate and scale security controls across multi-account environments.

Amazon is seeking a Principal Technologist for the Global Government Delivery Organization (GGDO) to drive strategic technical partnerships with UK Government customers and partners, overseeing complex programs across cloud, security, and data initiatives. The role emphasizes cross functional leadership, executive engagement, and go to market planning, with a focus on compliant, scalable AWS implementations within public sector contracts. UK Government Security Clearance is required.

Applied Science Manager, Alexa International The Alexa International Science team is looking for a passionate, talented, and inventive Applied Science Manager with a strong background in speech models (understanding and generation) and deep learning, to lead a team building industry leading Generative AI technology with speech to speech models and multilingual systems. You will lead a team of Applied Scientists, drive cross team scientific strategy for speech quality across international locales, influence partner teams, and deliver solutions with broad impact across Alexa's global products. You will own programs with global visibility and interact with a cross functional group of Science, Product, and Engineering leaders. Your team's work will advance the state of the art in multilingual speech generation, text to speech synthesis, and speech to speech models, directly impacting customers across 20+ languages with natural, expressive, and locale appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large scale computing resources to accelerate advances in speech synthesis, voice quality, and pronunciation accuracy for non English locales. The ideal candidate possesses a solid understanding of machine learning, speech synthesis (TTS/S2S), multilingual phonetics, modern model architectures, and evaluation methodology. They thrive in a fast paced environment, tackle complex challenges in low resource language settings, and are able to influence and align multiple teams around a shared scientific vision. Core Leadership and Team Management Lead and manage applied scientists focused on multilingual speech generation and voice personality. Build and develop high performing science teams focused on speech synthesis, pronunciation, evaluation, and multilingual model adaptation. Set technical direction and raise the bar on scientific rigor, experimental methodology, and publication quality. Hire, mentor, and grow scientists at multiple levels. Cross Organizational Collaboration Partner with cross organizational stakeholders to align goals and accelerate delivery. Establish clear communication channels and workflows across organizational boundaries. Drive alignment between science roadmaps and product launch timelines across 20+ locales. Delivery and Execution Own end to end delivery of speech quality improvements from research through production deployment. Define success metrics and evaluation frameworks for multilingual speech quality. Balance long term research investments with near term launch commitments. Key Job Responsibilities Lead and manage a team of Applied and Data scientists responsible for building and enhancing capabilities for Alexa+. Collaborate with cross functional teams to build methods to align Amazon's LLMs with human preferences. Identify and prioritize research opportunities that have the potential to significantly impact our AI systems. Mentor and guide team members to achieve their career goals and objectives. Communicate research findings and progress to senior leadership and stakeholders. Rapidly experiment and drive productisation to deliver customer impact. Drive academic partnership with top tier Indian university as part of the org's AI/ML Center initiative. Participate in and drive science publications in peer reviewed venues of repute. About the Team The Alexa International Science team drives multilingual AI quality for Alexa+, ensuring customers across all supported languages receive a natural, accurate, and culturally appropriate voice experience. We work at the intersection of speech science, LLMs, and international product launches. Basic Qualifications Experience directly managing scientists or machine learning engineers. Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly scalable systems that involve predictive models or applications of machine learning. Preferred Qualifications Experience building machine learning models or developing algorithms for business application. Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

The Reliability Maintenance Engineering (RME) team at Amazon is fundamental to our operations theyre the ones keeping vital machinery running at all times. As an RME Technician, youll maintain a wide range of equipment and workspaces while upholding Health and Safety best practices. You'll help to keep your colleagues safe and prevent machine downtime. Our RME Technicians boost the availability and quality of our equipment and work to enhance the operational environment too. Key job responsibilities Proactive and preventative maintenance tasks on a wide range of site equipment Carry out reactive repairs and fault diagnosis in a live distribution warehouse Use the latest tools to maximise equipment effectiveness Uphold all health and safety policies and practices Support the development and progression of on-site apprentices Work on continuous improvement projects and roll out best practices across a range of EU sites A day in the life Our RME Technicians are based on-site, so they can respond quickly to any machinery issues. Youll carry out a range of planned preventative maintenance to our sites equipment to make sure its working safely. As an RME Technician, youll also respond promptly to breakdowns, investigating, finding, and implementing solutions as quickly as possible. Youll also make suggestions for long-term improvements. Working alongside senior colleagues, youll undertake day-to-day maintenance tasks and will liaise with contractors if you need external expertise. Youll work on a range of shifts to make sure our sites are supported around the clock allowing Amazon to deliver at the speed were known for. About the team Our Reliability Maintenance Engineering or RME team keep our equipment performing at its best. We're a technically minded team, made up of excellent team players and guided by experienced leaders. We work together to maintain, troubleshoot and repair equipment across our global network of fulfilment centres. Some of our people are leaders, who oversee the team as they work on exciting technology some of which only exists at Amazon. From installing automated packaging systems to overseeing the general maintenance of a site to repairing key distribution equipment, our team handles most aspects of Amazons technical side. This includes keeping buildings legally compliant, so everyone is safe, and our sites are operating at maximum efficiency. There are lots of opportunities for progression, both within the RME team and more widely across Amazon. Everything we do focuses on reducing downtime in Amazons crucial operations sites, so customers get their orders on time. We often work during early or late hours to carry out maintenance with minimal disruption, including night shifts. If we spot a better way to do something, we have the skills and the opportunity to develop and introduce completely new processes or cutting-edge tech like Amazon Robotics and our Complex Item Sorter. BASIC QUALIFICATIONS- NVQ Level 3/ SVQ Level 3/ IVQ Level 3/ City & Guilds Level 3/EAL Level 3 all specialized in Mechanical, Electrical or Mechatronics - 4 years UK certified apprenticeship - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Work flexible schedules including weekends, nights, and holidays PREFERRED QUALIFICATIONS- Associate's degree in Mechnical or Electrical - Experience with material handling equipment (MHE) safety standards accordance with original equipment manufacturer (OEM) and safety standards - Experience with robotic operation and maintenance Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. JBRP1_UKTJ

Applied Sciences Manager , Ads Brand Safety and Suitability Job ID: Amazon Development Centre (London) Limited Amazon Ads Brand Safety & Suitability protects advertisers from exposure to unsafe, unsuitable, or policy violating content across web, mobile app, CTV, and audio advertising inventory. Our mission is to ensure that every ad impression delivered through Amazon's demand side platform appears adjacent to content that meets advertiser trust expectations while giving brands granular controls to define suitability on their own terms. We operate at the intersection of advertiser trust, publisher quality, and supply integrity. AI is fundamentally changing the content landscape. Content is now generated at unprecedented scale - faster, cheaper, and increasingly sophisticated. Low quality, deceptive, AI generated, and synthetic content evolves in real time, constantly adapting to evade detection. The volume and velocity of new content entering the advertising system has outpaced traditional classification approaches. We are looking for an Applied Science Manager to lead the next generation of AI powered Brand Safety and Content Classification systems designed to protect advertisers and elevate supply quality at internet scale. This is not a traditional classification problem. Your team will build systems that make millisecond level decisions across billions of content signals while continuously adapting to emerging content risks driven by generative AI. You will own the science roadmap for LLM powered classification and semantic understanding, real time multimodal content evaluation, adversarial ML and adaptive model resilience, proactive risk intelligence and content risk hunting, AI generated and synthetic content detection, and large scale abusive content system identification and disruption. You will define how modern AI separates high quality advertising inventory from unsafe, unsuitable, and policy violating content - across web, mobile app, CTV, and audio surfaces. Key Job Responsibilities Vision, Strategy & Roadmap Develop the vision, charter, and long term strategy for Applied Science solutions that enhance critical parts of the contextual ads product. Drive the strategy and technical roadmap for LLM and ML based classification systems. Keep updated on the industry landscape in contextual advertising and identify algorithm investments to achieve industry leading solutions. Team Leadership & Talent Development Lead a cross functional team of Applied Scientists and SDEs; grow a high performing Applied Science team focused on Brand Safety and AI driven risk intelligence. Hire, develop, and mentor senior scientists; accelerate the pace of innovation in the group. Build a culture of innovation, scientific rigor, velocity, and long term thinking. Technical Execution & Delivery Drive end to end delivery - from research and experimentation through production deployment at billions of classifications per day. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Use machine learning and statistical techniques to create new, scalable solutions. Innovation & Frontier Research Push the boundaries of multimodal understanding, semantic reasoning, and adaptive learning systems. Build proactive detection and risk hunting capabilities for emerging abuse trends. Continuously learn about new developments in ML and AI; identify how these can be rolled into building industry leading solutions for Amazon Advertising. Organizational Influence & Cross Functional Partnership Influence org wide GenAI strategy; represent the team's technical direction to senior leadership. Partner closely with Product, Policy, Ads Quality, and Infrastructure teams to operationalize AI at scale. Work proactively with engineering teams and product managers to evangelize new algorithms and drive implementation of large scale complex ML models in production. Business Impact & Thought Leadership Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap. Showcase innovation via peer reviewed publications and whitepapers. Basic Qualifications Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field, or PhD Experience managing science teams Experience developing, deploying and managing AI products at scale Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization Experience working with technical and business stakeholders from global cross functional teams Experience in leading large scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion Preferred Qualifications Experience in applied research Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is seeking a skilled Senior Delivery Consultant to join the AWS Professional Services team, focusing on cloud solution implementation and customer success. This role involves designing and managing complex AWS solutions while acting as a trusted advisor to clients. The ideal candidate will possess extensive experience in cloud systems, project management, and migration strategies. Amazon values diversity and is committed to equal opportunity employment.

Applied Scientist II, Alexa for Shopping Science UK Job ID: Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry leading language technology powering Alexa for Shopping, our AI driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing and optimizing language model powered (LLM/SLM) conversational experiences. The core emphasis is to get the best performance out of LLMs/SLMs via careful and methodical instruction design, contextual grounding, informed choices of MCP tools and agent/multi agent systems, context engineering, model fine tuning, evaluation frameworks, and experimentation to systematically improve quality, robustness, and customer impact. The work combines scientific rigor with product intuition to systematically raise the bar for conversational AI performance at Amazon scale. Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data driven insights to continuously improve our systems. Key job responsibilities Develop and maintain LLM agents, including automated evaluation pipelines, LLM as a judge methodologies, rubric design, and dataset curation to measure nuanced aspects of response quality. Partner with the wider org to experiment with techniques such as retrieval augmentation, context enrichment, prompt decomposition, and model fine tuning or post training strategies, when applicable. Lead post training of small language models (SLMs) - including supervised fine tuning, preference optimisation, and distillation - to deliver low latency conversational and shopping experiences when latency and cost constraints demand it. Apply applied machine learning and deep learning techniques as last mile improvements to shopping experiences that might span ranking, relevance, personalisation, and multimodal understanding. Design and evaluate agentic architectures that balance the needs of diverse shopping use cases, making principled choices across paradigms such as single agent and multi agent systems, memory management strategies, and tool orchestration to optimise for quality, latency, and reliability at scale. Leverage petabytes of data and identify opportunities to leverage machine learning models aimed at making conversational systems more performant. A day in the life Perform hands on analysis of large scale multimodal interaction datasets to develop insights into how customers engage with conversational AI systems and how to improve response quality and customer experience. Use statistical methods, experimentation, and data driven analysis to develop scalable approaches for measuring, evaluating, and optimizing large language model (LLM)-based shopping assistant systems, leveraging structured and unstructured contextual signals. Conduct deep dive analyses to identify opportunities for improving conversational relevance, grounding, customer satisfaction, and downstream business impact. Collaborate with Product Management and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Communicate results and insights to both technical and non technical audiences, including through presentations, written reports, and data visualizations. About the team The Alexa for Shopping Science team, based in London, works alongside 150 engineers, designers and product managers, shaping the future of AI driven shopping experiences at Amazon. The team works on every aspect of the conversational AI system, from making it agentic, enabling customers to set price alerts or empower the assistant to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalogue to provide detailed and personalised shopping guidance. We utilise and advance state of the art techniques in the fields of Natural Language Processing, generative AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities. Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field. Experience in state of the art deep learning models architecture design and deep learning training and optimisation and model pruning. Experience with patents or publications at top tier peer reviewed conferences or journals. Experience programming in Java, C++, Python or related language. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimisation, data mining, parallel and distributed computing, high performance computing. Experience building machine learning models for business application. Preferred Qualifications Expertise in hands on large language model post training and in depth understanding of the algorithms including both supervised fine tuning and large scale reinforcement learning, especially for large scale distributed training. Strong publication record in top tier NLP/LLM conferences such as NeurIPS, ICLR, ICML, EMNLP, ACL, NAACL with 500+ citations. Equal Opportunity Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit for more information. Please consult our Privacy Notice ( ) to know more about how we collect, use, and transfer the personal data of our candidates.

Senior Delivery Consultant - Migrations, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to help customers design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Key job responsibilities: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts Eligibility: Be a UK national and able to obtain and maintain a UK Government Security Clearance. Basic Qualifications Experience as technical specialist in design and architecture Experience in cloud based solution (AWS or equivalent), system, network and operating system Experience in external or internal customer facing, complex and large scale project management Experience implementing AWS services in a variety of distributed computing environments Migration strategy development and planning (6R framework) Cloud Infrastructure Assessment (CIA) methodology Mainframe migration and modernization techniques Application discovery and dependency mapping Migration tooling (Application Migration Service, Database Migration Service, Migration Hub) Cutover planning and execution Preferred Qualifications Experience in configuration management using cloudformation, chef & puppet Experience in large scale migration- data centre to data centre or data centre to cloud infrastructure Legacy system analysis and decommissioning Risk mitigation and rollback strategies AWS Transform Amazon is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.

The Reliability Maintenance Engineering (RME) team at Amazon is fundamental to our operations theyre the ones keeping vital machinery running at all times. As an RME Technician, youll maintain a wide range of equipment and workspaces while upholding Health and Safety best practices. You'll help to keep your colleagues safe and prevent machine downtime. Our RME Technicians boost the availability and quality of our equipment and work to enhance the operational environment too. Key job responsibilities Proactive and preventative maintenance tasks on a wide range of site equipment Carry out reactive repairs and fault diagnosis in a live distribution warehouse Use the latest tools to maximise equipment effectiveness Uphold all health and safety policies and practices Support the development and progression of on-site apprentices Work on continuous improvement projects and roll out best practices across a range of EU sites A day in the life Our RME Technicians are based on-site, so they can respond quickly to any machinery issues. Youll carry out a range of planned preventative maintenance to our sites equipment to make sure its working safely. As an RME Technician, youll also respond promptly to breakdowns, investigating, finding, and implementing solutions as quickly as possible. Youll also make suggestions for long-term improvements. Working alongside senior colleagues, youll undertake day-to-day maintenance tasks and will liaise with contractors if you need external expertise. Youll work on a range of shifts to make sure our sites are supported around the clock allowing Amazon to deliver at the speed were known for. About the team Our Reliability Maintenance Engineering or RME team keep our equipment performing at its best. We're a technically minded team, made up of excellent team players and guided by experienced leaders. We work together to maintain, troubleshoot and repair equipment across our global network of fulfilment centres. Some of our people are leaders, who oversee the team as they work on exciting technology some of which only exists at Amazon. From installing automated packaging systems to overseeing the general maintenance of a site to repairing key distribution equipment, our team handles most aspects of Amazons technical side. This includes keeping buildings legally compliant, so everyone is safe, and our sites are operating at maximum efficiency. There are lots of opportunities for progression, both within the RME team and more widely across Amazon. Everything we do focuses on reducing downtime in Amazons crucial operations sites, so customers get their orders on time. We often work during early or late hours to carry out maintenance with minimal disruption, including night shifts. If we spot a better way to do something, we have the skills and the opportunity to develop and introduce completely new processes or cutting-edge tech like Amazon Robotics and our Complex Item Sorter. BASIC QUALIFICATIONS- NVQ Level 3/ SVQ Level 3/ IVQ Level 3/ City & Guilds Level 3/EAL Level 3 all specialized in Mechanical, Electrical or Mechatronics - Relevant experience as a qualified engineer - Relevant experience working in mechanical and/or electrical maintenance - Advanced proficiency in the local language verbally and in writing PREFERRED QUALIFICATIONS- Associate's degree in Mechnical or Electrical - Experience with material handling equipment (MHE) safety standards accordance with original equipment manufacturer (OEM) and safety standards - Experience with robotic operation and maintenance - Experience in condition-based monitoring - Experience working with print and apply machines - Experience in fault-finding and maintaining conveyor or automation systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. JBRP1_UKTJ

Senior Construction Project Manager, EMEA Construction Job ID: Amazon Data Services UK Limited As a Data Centre Senior Construction Manager you will be part of a creative, efficient team tasked with tackling fascinating and challenging problems building and supporting the operations of Amazon owned data centres. Amazon Construction Managers are part of a fast-paced team delivering data centres for our Customers. Our data centres are industry leading examples of energy efficient, cost effective designs. The Data Centre Senior Construction Manager is ultimately responsible for the oversight and review of all disciplines including civil, structural, architectural, electrical, mechanical, controls and commissioning. The Construction Manager will administer all construction contracts ensuring full compliance including all commercial elements. At Amazon we leverage unique opportunities presented to us by owning everything from the substation, to the server, and back to the cooling systems. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to develop innovative data centres for our Customers. Responsibilities Construction project management and oversight of construction related activities as they relate to new builds or general capital projects. This includes ownership of the project scope, timeline, and budget. Direct interface with construction general contractors during the bidding, award, execution, and project closeout/punch list phases. Work with general contractors and vendors to deliver efficient and high quality project turn-overs. Lead negotiations with general contractors and evaluate bids/proposals with detail and accuracy. Creation of construction project scope and request for proposals. Capital requests/financial analysis of construction work including change orders, purchase orders, and invoicing. Construction project management for specific initiatives aimed at increasing the resiliency of data centres. Reviews of electrical and mechanical designs associated with the construction of new data centres or the optimisation of existing data centres. Construction submittal review. Construction project quality control including the creation of a commissioning plan and support of the commissioning process. Recording and reporting key construction metrics to team members and management. Drive teams to perform troubleshooting and root-cause failure analysis associated with equipment or electrical failures. Be a leader within the group as well as within internal and external teams that support the data centre. Role will be based on data centre sites in construction. Occasional international travel may be required in this role. Opportunities for international travel may be available in the future. About the team AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the services they rely on. We work on challenging problems with many variables impacting the supply chain. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing capacity at the lowest possible cost. Our inclusive culture welcomes bold ideas and empowers you to own them to completion. Basic Qualifications Bachelor's degree in Engineering Preferred Qualifications Experience in construction of data center delivery (design, commissioning and construction), mission critical facilities, or equivalent industrial/manufacturing facility builds Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the accessibility page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is seeking a Senior Construction Project Manager for EMEA Data Centers. You will oversee capital projects from scope to handover, managing budgets, schedules, and interfaces with general contractors to ensure high-quality outcomes. Role focuses on data centre construction across global sites with opportunities for international travel and collaboration with AWS Infrastructure Services teams.

At Amazon, we have hundreds of facilities across Europe. Theyre not just workplaces theyre our hubs where teams meet and collaborate to make sure were always delivering the best we can for our customers. As a Reliability Maintenance Engineering (RME) Area Manager, youll bring together the elements that make our working environment as supportive and efficient as possible click apply for full job details

At Amazon, we have hundreds of facilities across Europe. Theyre not just workplaces theyre our hubs where teams meet and collaborate to make sure were always delivering the best we can for our customers. As a Reliability Maintenance Engineering (RME) Area Manager, youll bring together the elements that make our working environment as supportive and efficient as possible click apply for full job details

The Reliability Maintenance Engineering (RME) team at Amazon is fundamental to our operations theyre the ones keeping vital machinery running at all times. As an RME Technician, youll maintain a wide range of equipment and workspaces while upholding Health and Safety best practices. You'll help to keep your colleagues safe and prevent machine downtime. Our RME Technicians boost the availability and quality of our equipment and work to enhance the operational environment too. Key job responsibilities Proactive and preventative maintenance tasks on a wide range of site equipment Carry out reactive repairs and fault diagnosis in a live distribution warehouse Use the latest tools to maximise equipment effectiveness Uphold all health and safety policies and practices Support the development and progression of on-site apprentices Work on continuous improvement projects and roll out best practices across a range of EU sites A day in the life Our RME Technicians are based on-site, so they can respond quickly to any machinery issues. Youll carry out a range of planned preventative maintenance to our sites Make On Demand (MOD) equipment to make sure its working safely. As an RME Technician, youll also respond promptly to breakdowns, investigating, finding, and implementing solutions as quickly as possible. Youll also raise suggestions and implement projects for long-term improvements. Working alongside senior colleagues, youll undertake day-to-day maintenance tasks and liaise with contractors if you need external expertise. Youll work on a range of shifts to make sure our sites are supported around the clock allowing Amazon to deliver at the speed were known for. About the team Our Reliability Maintenance Engineering or RME team keep our equipment performing at its best. We're a technically minded team, made up of excellent team players and guided by experienced leaders. We work together to maintain, troubleshoot and repair equipment across our global network of fulfilment centres. Some of our people are leaders, who oversee the team as they work on exciting technology some of which only exists at Amazon. From installing automated systems to overseeing the general maintenance of a site to repairing key distribution equipment, our team handles most aspects of Amazons technical side. This includes keeping buildings legally compliant, so everyone is safe, and our sites are operating at maximum efficiency. There are lots of opportunities for progression, both within the RME team and more widely across Amazon. Everything we do focuses on reducing downtime in Amazons crucial operations sites, so customers get their orders on time. We often work during early or late hours to carry out maintenance with minimal disruption, including night shifts. If we spot a better way to do something, we have the skills and the opportunity to develop and introduce completely new processes or innovative technology such as Amazon Robotics and Complex Sorters. BASIC QUALIFICATIONS- High school or equivalent diploma - high school diploma or equivalent - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Work flexible schedules including weekends, nights, and holidays PREFERRED QUALIFICATIONS- Associate's degree in Mechnical or Electrical - Experience with material handling equipment (MHE) safety standards accordance with original equipment manufacturer (OEM) and safety standards - Experience with robotic operation and maintenance Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. JBRP1_UKTJ

In every shift, youll be leading a team to make sure everyone has the equipment they need and that its running properly. That involves monitoring processes so that regulations and policies are followed and ensuring that preventative maintenance is carried out to increase equipment uptime. With everything you observe on your shifts, youll suggest improvements to make our systems more efficient and productive and then implement those improvements across an EU-wide function. Youll also be monitoring processes with tools like Scada to guarantee their performance, as well as working closely with your line manager to assist with admin tasks. This role is located at one of our operational sites. Youll work shift patterns, which may include some weekends and nights. As you develop your experience within this exciting part of Amazon, youll be well-placed to progress into more senior roles. Key job responsibilities - Demonstrate best practice on using equipment safely and monitor teams to ensure everyone follows the correct processes - Keep track of equipment performance through visual checks, condition-based monitoring, and preventative maintenance tasks and schedule additional servicing when required - Supervise technicians on shift to support their development and act as the first point of contact for Reliability Maintenance Engineers - Solve issues in equipment to reduce downtime for operations so they can process packages as quickly as possible - Support in finding ways to continually improve systems and standardise processes across the EU network A day in the life In every shift, youll be leading a team to make sure everyone has the equipment they need and that its running properly. That involves monitoring processes so that regulations and policies are followed and ensuring that preventative maintenance is carried out to increase equipment uptime. With everything you observe on your shifts, youll suggest improvements to make our systems more efficient and productive and then implement those improvements across an EU-wide function. Youll also be monitoring processes with tools like Scada to guarantee their performance, as well as working closely with your line manager to assist with admin tasks. This role is located at one of our operational sites. Youll work shift patterns, which may include some weekends and nights. As you develop your experience within this exciting part of Amazon, youll be well-placed to progress into more senior roles. BASIC QUALIFICATIONS- NVQ Level 3 in Mechanical, Electrical or Mechatronics, or completed a 4-year UK certified apprenticeship - SVQ Level 3 (or equivalent) in Mechanical, Electrical or Mechatronics, or completed a 4-year UK certified apprenticeship - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - Experience using CMMS (Computerized Maintenance Management Systems) to plan proactive maintenance and record reactive tasks - A full Engineering indentured Apprenticeship and/or qualified to a minimum of NVQ Level 3 or equivalent in a relevant Engineering subject - Relevant experience in a technical leadership role - Relevant experience working in both electrical and mechanical disciplines - Relevant experience in automation or material handling equipment environments - Advanced proficiency in verbal and written English PREFERRED QUALIFICATIONS- Experience leading engineering teams as a mentor or tech lead - Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above, wed love to hear from you. - Experience working in a multi-contractor and multi-site working environment - Understanding of PLC based controls systems and statutory compliance requirements - Experience using computerised maintenance management systems to plan proactive maintenance and record reactive tasks - A degree preferably in a technical discipline, operations, or business administration Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youre applying in isnt listed, please contact your Recruiting Partner. JBRP1_UKTJ

JOB LOCATION: Daventry, UK. Our Reliability Maintenance Engineering (RME) team is central to Amazon's commitment to innovation. As Amazon evolves and adapts, this team makes sure that the tools and technologies we use do as well. As a Senior RME Technician, you'll help us stay one step ahead, adopting the latest technologies and identifying new and efficient ways of working click apply for full job details