101 to 125 of 189 Amazon S3 Jobs in the UK excluding London

You should be fluent in TypeScript and React, with an eye for UI/UX experience A strong background integrating AWS services such as Lambda, API Gateway, Cognito, and S3 is essential. You'll contribute to architecture decisions, mentor developers, and help shape our front-end strategy. Requirements: 5+ years of front-end experience Expert in React and TypeScript More ❯

Collaborate with cross-functional teams to deliver high-quality products. Skills Required: Ruby for backend development. Next.js/React.js for front-end development. AWS for cloud infrastructure management (EC2, S3, RDS). PostgreSQL for database management. Git version control and collaborative development. Strong problem-solving and communication skills. More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

an eye for detail. What We're Looking For - Skills & Experience Bachelor's degree in Computer Science or equivalent experience Deep experience with AWS in production environments, including EC2, S3, IAM, EKS, and RDS Hands-on experience managing Kubernetes clusters and deploying applications Strong Linux expertise and system-level troubleshooting skills Solid understanding of system administration, security best practices More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

Administrator (DBA) Strong SQL skills and experience with database optimisation and performance tuning Strong practical skills in PHP, Python, SQL. At least 5 years' experience using Athena, Glue, RDS, S3, Linux scripting Experience with data modelling, data wrangling, schema design, and database security best practices Ability to manage large, complex datasets and troubleshoot data issues Strong problem-solving skills More ❯

transformation journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data More ❯

additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned More ❯

understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business problems, working with large, unstructured More ❯

stable, secure, and up to date. Key responsibilities: Managing and supporting RedHat Linux systems (v6 andamp; v7) Developing Shell scripts in Linux/UNIX environments Working with AWS (EC2, S3, CloudWatch) Leveraging Kubernetes and Terraform for orchestration and IaC Handling disk/volume management (LVM, RAID), and maintaining Dell server hardware (BIOS, iDRAC, cabling) REQUIRED SKILLS andamp; EXPERIENCE To More ❯

stable, secure, and up to date. Key responsibilities: Managing and supporting RedHat Linux systems (v6 andamp; v7) Developing Shell scripts in Linux/UNIX environments Working with AWS (EC2, S3, CloudWatch) Leveraging Kubernetes and Terraform for orchestration and IaC Handling disk/volume management (LVM, RAID), and maintaining Dell server hardware (BIOS, iDRAC, cabling) REQUIRED SKILLS andamp; EXPERIENCE To More ❯

Experience using configuration management and infrastructure as code such as Ansible and Terraform Experience with containers using both Docker and Kubernetes Strong AWS Platform Engineering skills in particular; EC2, S3, IAM and VPC/network configuration Experience with VMWare is a bonus, especially vSphere, NSX, VCF Comfortable working in a fast paced, lean and deadline driven organisation. Able to More ❯

performance. Collaborating with cross-functional teams (data scientists, software engineers, product managers) to turn business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computer vision research and applying new techniques to real-world challenges. Contributing to the development of More ❯

understanding of business and technical objectives. • Working in cloud-native environments with Snowflake and AWS You'll operate confidently in an enterprise cloud stack, managing dependencies across services like S3, EC2, API Gateway, and Redshift. What you'll need to succeed • Around 10 years of experience in combined project management and data science roles, ideally in enterprise or cloud More ❯

Strong proficiency in Python and SQL; experience with R is a plus. Solid understanding of statistical techniques and machine learning algorithms. Experience with cloud platforms and services (AWS, EC2, S3, Redshift, Azure). Familiarity with tools like PowerBI and Excel for stakeholder reporting. Experience in industries with large consumer marketplaces (e.g. programmatic media, travel, financial services) is a plus. More ❯

improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practices and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯

pipelines within an AWS environment. Key Skills & Experience Required: Proven background as an AWS DevOps Engineer in commercial environments Strong expertise in AWS core services including EC2, ECS, EKS, S3, IAM, Lambda, CloudFormation, CloudWatch, RDS, Route 53, and VPCs Solid experience with Kubernetes and containerisation using Docker and Amazon EKS Infrastructure as Code (IaC) using Terraform and More ❯

suppliers, consultants. Knowledge and Skills: Knowledge • Broad data management technical knowledge so as to be able to work across full data cycle. • Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD • Coding experience in Apache Spark, Iceberg or Python (Pandas) • Experience in change and release management. • Experience in Database … Essentials: • Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: • Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB • Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice More ❯

computing solutions and solve the most complex technical problems? Are you excited by the prospect of helping to build and run the world's largest cloud computing infrastructure? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. … exceptionally motivated people who are driven by learning and innovation. AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a … be surrounded by people who are passionate about cloud computing, believe that first class service is critical to customer success, and are committed to improvement. Key job responsibilities Amazon has a collaborative, purposeful and enthusiastic environment where we "Work Hard, Have Fun, Make History." On a typical day engineers might deep dive to root cause a customer issue More ❯

Required Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field. 5+ years of industry experience. Experience with Amazon AWS services such as EKS, S3, SQS, RDS, Cognito, and Lambda. Proficiency in Python or Go (Golang), with a focus on building production-quality services. Experience working with relational, document, or time-series databases and More ❯

Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension contribution (min. 3% employee) Access to ClassPass , Headspace , and regular creative perks Industry More ❯

Points Experience in data-heavy creative or media industries Passion for the arts Familiarity with structured metadata standards (e.g., DDEX ERN or RDR) Experience with PostgreSQL , AWS RDS , and S3 Perks & Benefits 25 days holiday , plus bank holidays and a Christmas office closure 6% employer pension contribution (min. 3% employee) Access to ClassPass , Headspace , and regular creative perks Industry More ❯

engineers to develop and adopt common tools, platforms, and applications. The team creates solutions as software products or hosted services, using technologies such as Java, Cloud computing, HDFS, Spark, S3, ReactJS, and Sybase IQ. Key challenges include acquiring high-quality data, storing it, performing risk computations quickly via distributed computing, and providing actionable insights through analytical and user interfaces. More ❯

detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients to explore problems, present ideas, and share results Prototype fast, test often, and get working solutions into the hands of users Work cross More ❯