1 to 14 of 14 AWS Jobs in East London with Remote Work Options

various capabilities, including Lift and Shift, Refactoring, Replatforming, Rebuilding, or Replacing, using a blended, bleeding-edge stack with a growing partner portfolio that includes AWS, Azure, RedHat, and Google Cloud. Our customers range from the most prominent names in Finance, Government and Defence through to the earliest stage start-ups … the core principles of DevOps and how our customers can most effectively adopt these. Experience architecting and implementing secure and scalable Cloud platforms (Using AWS, Azure or GCP) to support best practices such as containerised workloads and microservice architecture Four years of experience with one or more of the major … cloud providers (AWS, Azure, GCP) and best practices with an excellent grasp of cloud solutions, ideally including regulatory and security considerations Experience with the application development lifecycle and best practices involving source code management, application build, test and deployment Extensive hands-on experience architecting DevOps solutions, CI/CD pipelines more »

Resources The Resources Directorate provides corporate support to the Mayor and the Assembly and is responsible for the following functions: finance, legal, procurement, internal audit, technology group (TG) and facilities management (FM). The Directorates Executive Director also acts as more »

Java/Kotlin/Scala (preference for Kotlin, but openness to any JVM language). * Frontend experience with React.js * Experience in constructing infrastructure, utilising AWS, CI/CD, and infrastructure-as-code. * Architectural design capabilities (microservices) * Skill in ensuring quality assurance * Be a strong advocate for modern practices, including pair more »

being able to lend hands-on support to the team working on and using the following technologies:Data Warehousing, Data Modelling, Database Design, ETL, AWS Redshift, SQL Server, Power BI, Cloud/DevOps AWS, Docker, Terraform, Bitbucket, Bamboo, Team City, Octopus CI/CD deploy pipeline, Agile, pair programming, code more »

and experience managing a development team. Experience in Developing IOS and/or Android, using Swift & Kotlin Experience with RESTful API development. Familiarity with AWS services, particularly RDS. Experience integrating third-party services such as Firebase, Stripe, Twilio, and Vimeo. Proficient understanding of code versioning tools, such as Git. Strong more »

source control system. Excellent communication and documentation skills. Planning, organisation, and time management skills. Experience working with Messaging systems e.g. SQS, SNS. Experience developing AWS Lambda. Experience with NextJS & NestJS frameworks. Working knowledge of domain-driven design. ECS and container orchestration tools. AWS cloud experience or certifications. Previous experience working more »

to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search. We are using inhouse-tuned LLMs that we deploy on AWS together with Vector DBs to support retrieval. This exciting role will be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. more »

to large AI domain software Google Cloud Platform Key tech: recognised AI software experience (GPT4, Falcon, Llama2, Cohere, Gemini, Claude3) LLMs NLP GCP/AWS/Azure Dialogue flow If you re interested in this opportunity, please email your latest CV, or call James for more information. Other suitable opportunities more »

to serve jobseekers better fitting jobs and recruiters better fitting talents via semantic search. We are using inhouse-tuned LLMs that we deploy on AWS together with Vector DBs to support retrieval. This exciting role will be about managing AWS accounts and infrastructure to host our systems for LLM-inference … click away. Your responsibilities: Support setup and management of a Vector Database into a self-hosted LLM-based service Setup and administration of dedicated AWS environments for building AI-systems Support the setup and administration of newly created AWS accounts Enable two teams in our business by managing LLM-Operations … in DevOps, Cloud Operations, Data Engineering, or a related field, with a strong team player mindset and a sense of ownership High proficiency in AWS administration, IaC (Terraform), CI/CD, and test automation best practices, with experience in setting up compute, storage, and service infrastructure Strong expertise in AWS more »

Rack Scanners or Electronic balances would be an advantage Experience of Windows Servers/Deploying onto Windows Servers or deploying to the Cloud/AWS would be beneficial Key responsibilities as an Technical Implementation Consultant would include Work closely with customers predominantly remotely and occasionally face-to-face on the … technical support to clients during UAT and go-live period before handover to support Creating software builds and releases Deploying in cloud deployments (Amazon AWS) Estimating length and complexity of application consultant work for sales estimates and writing sales proposals Communicating with developers during development projects on product changes and more »

resolve issues & enhance security measures within the CI/CD pipeline. If you have a background encompassing any of the following; Multi cloud environments, AWS, Azure, managing Splunk, defining data streams, indices, ingests & dashboards, adding security tooling to CI/CD pipelines, SAST, code security, SonarCloud, AWS Security Hub, Source … code, Github, Github Actions, IaC tooling, Automation, AWS CLI, Python, PowerShell, Azure CLI, Docker, Kubernetes etc, I'm keen to hear from you. Position: Engineering, Software Development, DevOps, DevSecOps, Security Purpose: Ensure security is seamlessly & effectively integrated with the software development life cycle (SDLC), recognising security threats, & configure infrastructure in … roles, with a focus on security. * Security tools such as vulnerability scanners, intrusion detection systems, & security information & event management (SIEM) solutions. * Multi cloud environments AWS & Azure etc. * Using & managing Splunk including defining data streams, indices & ingests & dashboards * CI/CD pipelines & adding security tooling to these * SAST & other techniques to more »

two years of line management experience Proficiency in enterprise solutions for corporate functions Knowledge of programming languages (Python, Java, React) and infrastructure technologies (Azure, AWS, Terraform) Familiarity with UX/UI practices and tools Benefits: Enhanced employer pension contributions Hybrid working - 2 days in the office Bonus Cycle to work more »

Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large language models. This … work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand … AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management. Expertise with building enterprise scale ML & LLM solutions more »

a glance Join our team and youll be responsible for driving projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve large language models and demonstrate the capabilities of emerging technologies … Your responsibilities: Enable the AI Labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand current AI products, identify new opportunities, and drive their implementation. Design experiments & deployment solutions in the realm of AI systems. Drive initiatives in … software development standards. Develop talent in the AI labs team through learning & development as well as recruiting. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in working with DevOps, Cloud Operations, ML-engineering teams. Expertise in driving projects to build enterprise scale ML & LLM more »