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

Apply Now

Software Development Engineer, Industry Products

Amazon
London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer (Data Science Team)

Machine Learning Engineer (Databricks)

Machine Learning Engineer (Applied AI) (100% Remote in EMEA)

Machine Learning Engineer (Applied AI) (100% Remote in EMEA)

Senior Computer Vision Algorithms Engineer

Senior Computer Vision Algorithms Engineer

Software Development Engineer, Industry Products Aspart of the AWS Solutions organization, we have a vision to providebusiness applications, leveraging Amazon’s unique experience andexpertise, that are used by millions of companies worldwide tomanage day-to-day operations. We will accomplish this byaccelerating our customers’ businesses through delivery ofintuitive and differentiated technology solutions that solveenduring business challenges. We blend vision with curiosity andAmazon’s real-world experience to build opinionated, turnkeysolutions. Where customers prefer to buy over build, we becometheir trusted partner with solutions that are no-brainers to buyand easy to use. Are you inspired to work with a team that launchesproducts with direct and massive impact on Amazon’s customers? Areyou excited to join one of the newest and most exciting AWSengineering organizations? AWS Industry Products (IP) is an AWSengineering organization chartered to build new AWS products byapplying Amazon’s innovation mechanisms along with AWS digitaltechnologies to real world industry problems. We dive deep withindustry leaders to solve problems and unblock industries, enablingthem to capitalize on new digital business models. Simply put, ourgoal is to use the skill and scale of AWS to make the benefits of aconnected world achievable for all businesses. We are looking forSoftware Development Engineers obsessed with customer success,passionate about simplification and design-thinking and excited todive deep into the growth opportunity of delivering new productcategories to new customer types in an emerging technology space.The position represents a rare opportunity to be a part of afast-growing business, and help shape the technology and product aswe grow. Our technical challenges involve back-end softwareengineering, edge computing, applied science, and front enddevelopment. We need to develop and apply quantitative algorithms(e.g. machine learning, computer vision, network optimization) tomake industry process analysis relevant and actionable foroperations engineers. We build software and information systems toprocess massive scale operational data, infer informationrelationship across complex systems, train decision models andapply them to critical operations at industrial scale. We work veryclosely with innovative, market leading customers to driveeffective digital transformation of entire industries and thesupply chains that support them. As a developer on our team, you’llown code end-to-end from design to development, and work closelywith senior technical leaders within the team and across AWS.You’ll have a sound understanding of computer science fundamentalsand practical industry experience, working across the stack withtechnology involving modern databases, AI, ML, Big Data and more.About the team Amazon Web Services (AWS) is the world’s mostcomprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating — that’s why customersfrom the most successful startups to Global 500 companies trust ourrobust suite of products and services to power their businesses.Minimum Requirements 1. 3+ years of non-internship professionalsoftware development experience 2. 2+ years of non-internshipdesign or architecture (design patterns, reliability and scaling)of new and existing systems experience 3. Experience programmingwith at least one software programming language 4. 3+ years of fullsoftware development life cycle, including coding standards, codereviews, source control management, build processes, testing, andoperations experience 5. Bachelors degree in computer science orequivalent 6. Experience with AWS technologies like Redshift, S3,AWS Glue, EMR, Kinesis and SageMaker Amazon is committed to adiverse and inclusive workplace. Amazon is an equal opportunityemployer and does not discriminate on the basis of race, nationalorigin, gender, gender identity, sexual orientation, protectedveteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the bestresults for our customers. If you have a disability and need aworkplace accommodation or adjustment during the application andhiring process, including support for the interview or onboardingprocess, please visit this link for more information. Ourcompensation reflects the cost of labor across several USgeographic markets. The base pay for this position ranges from$129,300/year in our lowest geographic market up to $223,600/yearin our highest geographic market. Pay is based on a number offactors including market location and may vary depending onjob-related knowledge, skills, and experience. Amazon is a totalcompensation company. Dependent on the position offered, equity,sign-on payments, and other forms of compensation may be providedas part of a total compensation package, in addition to a fullrange of medical, financial, and/or other benefits. For moreinformation, please visit this link. This position will remainposted until filled. Applicants should apply via our internal orexternal career site. J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.