Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Permanent
Amazon London, UK
DESCRIPTION At Amazon Web Services (AWS), we are hiring Associate Cloud Infrastructure Engineers, Security, DevOps and Big Data consultants to help our customers develop technical expertise and deliver results in key engagements, often alongside our partners. Our technical consultants will help customers experiment with proof-of-concepts, provide guidance on AWS best practices, and help customers and partners succeed in their implementation projects. These professional services engagements will focus on key customer solutions such as, web applications, enterprise applications, HPC, IoT, batch processing and big data, archiving and disaster recovery. Our security consultants will help customers build proof-of-concepts, provide guidance on AWS security best practices, and help customers and partners succeed in creating a safe AWS environment. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. If you have an entrepreneurial spirit, are eager to deliver results, are deeply technical and highly innovative and a voracious learner, we want to talk to you. This program will start in September 2019. BASIC QUALIFICATIONS · Completed or currently on a Bachelors or Masters degree related to Computer Science/ Machine Learning,Operational Research, Statistics, Mathematics etc. · Programming in one or more object-oriented languages like Java/Python/C#/Ruby/Objective C/C++ · Basic experience in setting up cloud environment with AWS · Strong analytical skills and good IT troubleshooting skills. · Strong sense of ownership, urgency, and drive PREFERRED QUALIFICATIONS ·  · Experience with software development lifecycle (SDLC) and agile/iterative methodologies required · Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53 and S3. · Background in algorithm engineering, distributed systems, networking, or IT security. · Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible. · Knowledge of Scrum/Agile methodology Application and Assessment Process Eligible candidates will be invited to attend a technical phone screen post which successful candidates will be invited to an in-house assessment centre. This selection process is subject to change but you will be notified if any changes are made. 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. EU Student Programs Team
28 Mar, 2019
Internship
Amazon Cambridge, UK
DESCRIPTION “Alexa find me an internship on the Alexa Knowledge team” You: “Alexa, I’m looking for a job where I can build products straight out of science fiction.” Alexa: “I have found matching jobs for you in the Alexa Knowledge team in Cambridge, UK. What role are you looking for?” You: “I’d like to work on making you even smarter than you are today.” Alexa: “Wonderful. There are multiple roles in Cambridge where you can do that, here are the details … “ Our focus in the Alexa Knowledge team combines natural language understanding, acquiring large volumes of structured knowledge, and building autonomous machine reasoning to allow our customers to get answers to their questions in the most natural way possible. We’re part of a huge research and engineering effort on the Amazon Alexa team. We’ve solved many complex problems to get to where we are today, but there are still plenty of challenges ahead of us, and Alexa is getting smarter every day. The problems we solve in the Alexa Knowledge team in Cambridge help Alexa get smarter by understanding the different ways people talk, by learning more and more facts about the world, by improving her common sense reasoning and by responding in the most natural way possible in multiple languages. We set out to build Alexa at Amazon because we believe that voice will fundamentally improve the way people will interact with technology, and we wanted to create a computer in the cloud that could be controlled entirely by your voice. On the Knowledge Extraction and Understanding team, we are constantly making Alexa smarter by enabling her to learn about what’s going on in the world. We believe that the information to answer (almost) every question can be found somewhere on the internet, and not just in an encyclopedia. Our goal is to teach Alexa how to read a wider range of texts and learn about the world as she reads them. This will require methods that lie beyond the cutting edge academic and industrial research of today, at internet-level scale. Your role is to design these methods and work with the engineers on the team to bring them to the millions of customers who use Alexa every day. BASIC QUALIFICATIONS · Currently enrolled in a PhD program in Computer Science, Machine Learning, Computational Linguistics, Natural Language Processing, Applied Mathematics or a related field; · Hands-on experience in one or more of: Information Extraction, Deep Learning, Scalable Machine Learning, Semantic Parsing; · Good coding skills. Experience in Python or Java is a plus; · Good communication skills and the ability of working in a team. PREFERRED QUALIFICATIONS · Ability to convey rigorous mathematical concepts and considerations to non-experts; · Demonstrable research track record in the form of academic publications; · Experience of working with large datasets. 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. We offer a competitive salary and stock units, we offer a whole host of other benefits, including an employee discount, private health care and pension scheme. We are committed to keeping compensation fair and equitable.
28 Mar, 2019
Permanent
Amazon Edinburgh, UK
DESCRIPTION At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. We're looking for talented, motivated Software Development Engineering Graduates who can join us to offer a great customer experiences. If you have an interest in building large-scale, high-performance, customer-centric products and think end-to-end, this may be the job you've been looking for. Amazon is a place where builders can build. From day one, you will be working with experienced engineers and designers who love what they do. You will drive your own learning and development with guidance and coaching from your manager and team, not to mention the excellent long-term development prospects you would expect from one of the world’s leading online businesses. You will be surrounded by people that are smart and passionate about cloud computing. The teams develop applications used by our global list of customers and internal Amazon teams. Job Responsibilities include: Since we have a wide variety of projects and technologies, we are looking for different profiles, from engineers interested in front-end development (for our hybrid mobile applications and website) to back-end engineers to develop systems, focused in solving complex multi-objective resource allocation problems, including machine learning engineers for our recommendation systems. BASIC QUALIFICATIONS · Completed or currently on a Bachelors/ Masters degree related to Computer Engineering/ Computer Science/ Software Engineering etc. (Expected graduation in 2019) · Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis PREFERRED QUALIFICATIONS · Development Experience in Java, C, C++, Perl, Linux Application and Assessment Process Eligible candidates will be invited to attend an online assessment post which successful candidates will be invited to an in-house assessment centre. This selection process is subject to change but you will be notified if any changes are made. We encourage you to apply early to avoid disappointment. 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. 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.
28 Mar, 2019
Grad Scheme
Amazon Longford, UK
DESCRIPTION Amazon is a place where builders can build. From day one, you will be working with experienced engineers and designers who love what they do. You will drive your own learning and development with guidance and coaching from your manager and team, not to mention the excellent long-term development prospects you would expect from one of the world’s leading online businesses. At Amazon Web Services (AWS), we are hiring Graduate Big Data consultants to help our customers develop technical expertise and deliver results in key engagements, often alongside our partners. AWS Professional Services engages in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the customer. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs. BASIC QUALIFICATIONS · Completed or currently on a Bachelors or Masters degree related to Computer Science/ Machine Learning etc. · Open source or part-time work experience on development projects. No former full-time work experience is required. · Good skills with programming languages, such as Java, Python, or C/C++. · Experience with relational and/or non-relational databases. · Basic experience in setting up cloud environment with AWS. 
 · Strong analytical skills and good IT troubleshooting skills. 
 PREFERRED QUALIFICATIONS · Experience with software development lifecycle (SDLC) and agile/iterative methodologies. · Experience with Data Warehouse and ETL operations. · Knowledge of the primary AWS services such as EC2, ELB, RDS, VPC, Route53, and S3. 
 · Background in algorithm engineering, distributed systems, networking, or IT security. 
 · Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible. Application and Assessment Process Eligible candidates will be invited to attend a technical phone screen post which successful candidates will be invited to an in-house assessment centre. This selection process is subject to change but you will be notified if any changes are made. 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.
12 Mar, 2019
Grad Scheme
Amazon London, UK
DESCRIPTION Amazon is a place where builders can build. From day one, you will be working with experienced engineers and designers who love what they do. You will drive your own learning and development with guidance and coaching from your manager and team, not to mention the excellent long-term development prospects you would expect from one of the world’s leading online businesses. The AWS Tech U Program is an accelerated career development program for new graduates who want to advance their skills and help customers design flexible and resilient cloud-based solutions. This residency program consists of two phases: a six-month academic curriculum followed by three to six months of experiential learning in the field. You will learn from top AWS subject matter experts and get paid while you train for an exciting career in the Tech Industry. This program will start in September 2019 and the six-month residency program will be based in our Madrid offices. If you excel in this phase, you will be relocated to your Country of origin for the second phase, where you'll work & learn in the field. BASIC QUALIFICATIONS · Completed or currently on a Bachelors/ Masters degree related to Computer Science/ Engineering/ Networking/ Information Technology/ Information Systems/ Mathematics/ Physics etc · Must be able to relocate and work for the first 6 months in our Spanish office in Madrid · Academic and practical experience in three or more of the following areas: networking, security, storage, database, architecture/infrastructure/OS and web or application development. PREFERRED QUALIFICATIONS · Advanced to fluent proficiency in English · Cloud Awareness: Experience implementing a cloud-based technology solution in a school project or while working for a company desired. · Experience working within the software development or Internet industries is highly desired · Troubleshooting: Experience with QA, testing, helpdesk, IT support, or any technician or quality assurance type work desired. · Experience managing application stacks from the OS up through custom applications or experience designing or implementing distributed systems, algorithms and relational databases desired · Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby) desired. · Knowledge of fundamentals of Networking, Security, Databases (Relational and/or NoSQL), Operating Systems (Unix, Linux, and/or Windows) desired. · Experience with one or more of the following domains: systems administration (Linux/Window), network administration (DNS, IPsec, BGP, VPN, Load Balancing), or programming (Node.JS, Java, Ruby, C#, Python, or PHP) desired. · Working knowledge of AWS services, such as Elastic Compute Cloud, Elastic Block Storage, and Simple Storage Service desired. Application and Assessment Process Eligible candidates will be invited to attend an online assessment post which successful candidates will be invited to a technical phone screen. Candidates who do pass the technical phone screen will then be invited to attend an in-house assessment centre. This selection process is subject to change but you will be notified if any changes are made. 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.
12 Mar, 2019
Grad Scheme
Amazon London, UK
Amazon is a place where builders can build. From day one, you will be working with experienced engineers and designers who love what they do. You will drive your own learning and development with guidance and coaching from your manager and team, not to mention the excellent long-term development prospects you would expect from one of the world’s leading online businesses. At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI. AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we would like to have you join our team. A Graduate Data Science Consultant will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. Job responsibilities include: · Understanding the customer’s business need and build a solution using our AWS AI Services, Platforms, Frameworks and AWS AI EC2 Instances. · Assisting customers by building ML / DL project, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. · Using Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. · Using SparkML and Amazon Machine Learning (AML) to help our customers build ML models. · Working with our Professional Services Data Science, Big Data and DevOps consultants to build and optimize machine learning flows · Extended travel to customer locations may be required to deliver professional services, as needed BASIC QUALIFICATIONS · Completed or currently on a Bachelors or Masters degree related to Computer Science/ Machine Learning/ Operational Research, Statistics, Mathematics etc.. · Experience using Python and/or R and developing ML and DL solutions · Able to write production level code, which is well-written and explainable · Familiarity with using data visualization tools · Knowledge of writing and tuning SQL PREFERRED QUALIFICATIONS · Experience giving data presentations · Experience using ML libraries, such as scikit-learn, caret, mlr, mllib · Consulting experience and track record of helping customers with their AI needs · Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR Application and Assessment Process Eligible candidates will be invited to attend a technical phone screen post which successful candidates will be invited to an in-house assessment centre. This selection process is subject to change but you will be notified if any changes are made. 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.
12 Mar, 2019