1 to 25 of 55 AWS Jobs in Dorset

Dorset.- Experience as in a cloud infrastructure/cloud support role. CLOUD ENGINEER ESSENTIAL SKILLS- Minimum 2 years of hands-on experience with AWS- Strong understanding of AWS cloud infrastructure and related services- Ability to deploy and manage infrastructure using both Terraform and Ansible TO BE CONSIDERED:Please either apply … process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSCLOUD ENGINEER, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED ...

supporting large-scale, mission-critical systems. Strong hands-on experience with Kubernetes and Terraform . Experience deploying and operating applications in public cloud environments (AWS, Azure, GCP) . Solid understanding of Java and Spring Boot applications . Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk). Strong ...

Engineers to learn and grow. Essential Skills: Python JavaScript/Typescript. They use Vue.js but are open to any React.js engineers AWS/GCP MongoDB DynamoDB Nice to haves: Experience building a product from scratch Kubernetes/Terraform experience Architecture background ...

/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 ...

Hands on experience with Databricks . Strong hands-on experience with Kubernetes and Terraform . Experience deploying and operating applications in public cloud environments (AWS, Azure, GCP) . Solid understanding of Java and Spring Boot applications . Experience with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, Splunk). Strong ...

building high-quality software end-to-end and influencing technical direction (without people management). Tech Stack Frontend: React (JavaScript) Backend: Node.js (JavaScript) Cloud: AWS (Lambda, DynamoDB, CloudWatch) Architecture: Microservices + REST APIs Bonus: AG Grid/data-heavy UI experience What you'll be doing Owning features ...

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 ...

environment. What you'll need: Core Technology skills required – Strong full stack software engineering skills. Desirable technology skills: Python, Django, React, JavaScript, MySQL, SPAs, AWS (Lambda, CloudFormation, RDS). 5+ years of relevant experience in the core technology skills Best practice software development skills and practices. Excellent communication skills with ...

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. ...

design, query optimization, data migration) Build and deploy applications in containerized environments using Docker and orchestrate deployments with Kubernetes Implement cloud-native solutions on AWS, Azure, or GCP ensuring high availability and sca click apply for full job details ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow (expert-level) Databricks Cloud platforms (AWS preferred; SageMaker exposure a bonus) CI/CD for ML workloads Docker and Kubernetes Infrastructure as Code (Terraform or similar) Python-based ML workflows ...

experience leveraging Google Cloud Platform (GCP) and its associated tools for the deployment and management of real-time data ingestion and processing services. (While AWS knowledge is valuable, GCP expertise is primary.) Distributed Streaming: Strong familiarity with distributed streaming technologies, such as Kafka or similar platforms. Programming & Scripting: Expert proficiency ...

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 ...

modelling, experimentation and inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs ...

with the ability to interpret complex data and deliver business value. Experience integrating data from multiple sources and systems. Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication and documentation skills. Preferred Qualifications Awareness ...

with the ability to interpret complex data and deliver business value. Experience integrating data from multiple sources and systems. Familiarity with cloud data platforms (AWS, Azure, GCP) and big data technologies. Ability to work independently and collaboratively in a fast-paced environment. Excellent communication and documentation skills. Preferred Qualifications Awareness ...

design, query optimization, data migration) Build and deploy applications in containerized environments using Docker and orchestrate deployments with Kubernetes Implement cloud-native solutions on AWS, Azure, or GCP ensuring high availability and scalability Monitor and troubleshoot application performance using Prometheus, Grafana, ELK Stack Collaborate with cross-functional teams … Spring Boot development Hands-on experience with Oracle and PostgreSQL databases Proficiency in Docker and Kubernetes for containerization and orchestration Experience with cloud deployments (AWS, Azure, GCP) Familiarity with application monitoring, logging, and alerting tools Excellent problem-solving skills and proactive attitude Strong communication skills with the ability to influence ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Entry Level Development placement (£25K - £40k) We work with you to secure your first role ...

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 ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role ...

qualification Get an introduction to Windows, Linux and PowerShell Tools and technologies learned: Learners will learn to use Microsoft Azure, Microsoft 365, Windows 10, AWS, Linux, PowerShell. After completion of your programme there is a potential opportunity to progress onto a Level 4 apprenticeship programme (Foundation degree). This ...