1 to 25 of 29 AWS Jobs in Basingstoke

enabled code tooling: Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces ...

/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

functional teams to deliver solutions that solve genuine business challenges Tech Stack: Core: C#, .NET Core Architecture: Event-driven, microservices-oriented design Cloud: Azure (AWS experience valued), Infrastructure-as-Code Data: SQL, caching strategies, message brokers (RabbitMQ, etc.) Frontend: HTML, CSS, JavaScript DevOps: CI/CD pipelines, Behaviour-Driven Development ...

modern web applications, ideally having launched a product to market. • Expertise in React, Redux, TypeScript, Python, FastAPI, and SQLAlchemy. • Strong understanding of cloud technologies (AWS preferred). • Excellent grasp of software architecture, design patterns, and scalable system design. • Strong communicator with a collaborative, pragmatic approach to problem solving. ...

backend environment using FastAPI, Flask or Django • React or a modern JavaScript framework on the frontend • API design and integration • Cloud platforms such as AWS, GCP or Azure • Testing, code quality and production readiness • Collaborating with engineers, product and design teams It would be great if you also have experience ...

Electrical Engineering, Computer Science, or another related field or equivalent work experience. Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, Oracle) Building continuous integration/deployment pipelines with robust testing and deployment schedules Experience working with internal customers and translating requests into prioritized work ...

define and refine platform features Technical Skills Required Proficiency in C# .NET Experience in testing software and version control Familiarity with NoSQL databases AWS experience Experience with CI/CD tools (e.g., Github) Nice to Have Experience with microservices architecture Familiarity with RESTful APIs Exposure to Docker or Kubernetes Experience ...

deployment. Proven experience managing teams delivering ML/LLM models in production environments. Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure). Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines. Excellent leadership, communication, and cross-functional collaboration skills. ...

optimisation methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources ...

learn and grow. Desired qualifications: Experience with Typescript. Experience with Svelte, web components, or equivalent component model. Experience with cloud platforms such as AWS, and databases such as Postgres and Snowflake. Experience with SQL-Like databases and data caching strategies such as Postgres, Snowflake, and Redis. About Accelerant: Accelerant ...

high-growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions in a fast-moving, ambiguous environment. Excellent communication skills and comfortable collaborating directly with founders. ...

/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward ...

mindset High levels of honesty and integrity Ability to effectively use AI tools for test planning, documentation and analysis Nice to Have Experience with AWS or Azure ...

Automation knowledge on a wide variety of tools – Ansible, Terraform, Grafana, and Kubernetes, etc. Prior experience migrating a game from one Cloud provider onto AWS Excellent knowledge of containers, virtual machines and Linux server administration Demonstrable experience in programming or personal code-based projects. Please note, initially, we will ...

delivering high-quality front-end experiences using modern JavaScript frameworks. The role requires expertise in database design, DevOps, cryptographic data handling, and AWS cloud technologies. Key Responsibilities Design, develop, and maintain backend services using TypeScript, Node.js, and PHP 8.1+ and modern JavaScript frameworks (React, Vue, or similar). Build … mobile applications. Design efficient data models and queries for MySQL (Aurora) and DynamoDB. Implement secure authentication and authorisation mechanisms (e.g., JWT, OAuth2, API keys, AWS SigV4). Automate build, test, and deployment pipelines using AWS CDK, Bitbucket Pipelines, GitHub Actions, or similar. Manage deployments across Dev, Staging, and Production environments ...

preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. … Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice ...

whole company. Help hire future colleagues and shape the team you want to work with. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. … building reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership ...

ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration … Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years in cloud platforms (AWS, Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps ...

technical consulting role for cloud-native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including … events as needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. ...

across the full stack and switching between frontend and backend problem solving Experience with MongoDB, Redis, and cloud platforms such as Azure, GCP, or AWS Experience working with data heavy or AI driven products is a bonus A proactive engineer who enjoys working in a small, fast moving team Tech … stack Frontend: React,TypeScript Backend: Python (FastAPI) Database: MongoDB Caching & queueing: Redis Cloud: Azure (transitioning to GCP, AWS possible in future) What you'll get Flexible remote working with optional access to a London office The chance to work on a technically challenging, AI powered platform with real world impact ...

Cloud Tech talent agency, we've built solid connections with key cloud clients and are the only agency to be partnered with Microsoft, Salesforce & AWS We're privileged to attend exclusive ecosystem events such as MS Ignite, Dreamforce & proudly host the Digital Revolution Awards, where you'll network with ...

This is hands-on architecture, not governance theatre. The Environment You'll be working in: A true product-led SaaS environment Modern cloud platforms (AWS/Azure) Event-driven and distributed systems High-calibre engineering teams who value good architecture A business that invests properly in technology and engineering standards … senior stakeholders Getting close to engineering teams Making and standing by architectural decisions Technical Background (Indicative) Experience in areas such as: Cloud-native architecture (AWS/Azure) Microservices and event-driven systems REST APIs and integration patterns Distributed systems SQL and NoSQL data stores Containerisation (Docker/Kubernetes) Infrastructure ...

Elite Software House - Defined Networks - is seeking a Python Devops Engineer/SRE/Cloud Engineer You will - Build, maintain and troubleshoot AWS cloud infrastructure, supporting hybrid cloud and on-prem workloads for high-availability financial systems. · Deploy and support EKS clusters, containerised backend services and secure API integrations. · Develop … Terraform IaC modules to automate provisioning of AWS resources, networking, logging pipelines and platform components. · Partner with developers, backend teams and SRE functions to design and support cloud-hosted applications, improving resiliency, scalability and observability. · Diagnose production issues across APIs, cloud services, networking and container platforms using CloudWatch, logs ...

processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy ...

reporting 30% Data and Domain Modelling – Data pipelines for research, modelling instrument and trade structures in Python, working with market data feeds 10% Infrastructure – AWS deployments, database modelling, CI/CD This isn't just a ticket-taking role. You'll sit with the portfolio managers and the Head … days of writing it. The Stack Frontend: React, TypeScript (shadcn/ui, Vite, AG Grid) Backend: Python, FastAPI (SQLAlchemy ORM, MySQL, Redis, QuestDB) Infrastructure: AWS (EC2, S3, SQS, RDS), CloudFormation, Git, Cypress Integrations: External market data providers and the fund administrator Design Focus: explicit domain models, correctness, auditability, and long ...