1 to 25 of 29 AWS Jobs in Somerset

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

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 ...

understanding of model behaviour, limitations, evaluation techniques, and real-world deployment challenges. Cloud-Native & Platform Skills Proven experience designing and deploying distributed systems on AWS, GCP, or Azure . Hands-on expertise with Docker, Kubernetes , and modern CI/CD pipelines. Comfortable working in regulated or high-compliance environments. Strong ...

/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 ...

Deep understanding of software design patterns, data structures, and algorithms. Proven experience in system architecture and designing distributed systems. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with microservices architecture and RESTful API design. Strong leadership, communication, and collaboration skills. Ability ...

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 ...

C#) development. Our client will provide you with training into: .NET 10.0, WPF, MVVM, Prism, JavaScript, React, Angular 21, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, ASP.NET Core Web API, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and Azure SQL. You will follow the firms official career progression programme. ...

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 ...

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 ...

/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 ...

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. For a successful apprentice, there is a huge potential for professional growth in this fast moving and thriving environment Potential salary increases would ...

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 ...

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. The right apprentice will have a chance to gain a full-time job and the opportunity to mould their own career with guidance ...

main tools you will be using day to day are: ** Python ** Docker ** ETL pipelines ** GIS - PostGIS or ESRI knowledge (Ideally Raster Data Sets) ** AWS You: Our customer is looking for someone well versed with the above tools technologies, and they need someone who has a strong understanding of Geospatial Data ...

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 ...

focus on web components and reusable design systems Modern JavaScript/TypeScript Backend: Node.js or Python (microservices-based) API-driven architecture Infrastructure & Cloud: Kubernetes AWS Containerized, cloud-native deployments Data: SQL databases What We're Looking For Strong experience as a senior or lead fullstack engineer in modern web environments … plus, not a requirement) Backend experience with Node.js and/or Python Solid understanding of microservices architecture Hands-on experience with Kubernetes and AWS Strong SQL skills and experience designing data models Proven ability to lead technically and mentor other engineers Comfortable working in a fast-paced fintech or product ...

distributed systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines … Experience with analytics engines, scoring frameworks, and real-time compute Cloud & Infrastructure AWS preferred (EKS, Lambda, S3, IAM, CloudWatch, ECS) CI/CD tooling, infrastructure-as-code, observability, monitoring, deployment pipelines Experience operating highly available systems in production environments Security, Compliance & Enterprise Secure systems design, identity/auth workflows, audit ...

tasks, helping to support, migrate, and operate hybrid environments. This is a hands-on delivery role, suited to engineers who enjoy working across VMware, AWS, and Kubernetes in real production environments. What You'll Be Doing Supporting hybrid cloud environments across on-prem and AWS Assisting with VMware to AWS … systems Collaborating with platform, DevOps, and application teams Experience We're Looking For Hands-on experience with VMware (vSphere/ESXi) Experience working with AWS in production environments Exposure to VMware to AWS migrations (preferred) Working knowledge of Kubernetes (EKS or similar) Experience with Linux and Windows systems Familiarity with ...

only) Salary: Equity only (to start) - with vesting period Platform: AI-Native Talent Intelligence Platform Stage: Early product (working demo MVP) with live AWS infrastructure and AI workflows in place The Role We are recruiting for our sister business 'hdhnt', this is an AI-native Talent Acquisition platform designed around … speech-to-text, audio processing, or conversational AI pipelines Comfort designing systems that support AI analysis of recorded interactions Cloud & Infrastructure Strong experience with AWS-based SaaS platforms, including: ECS Fargate Application Load Balancers IAM, KMS, Secrets Manager CloudWatch logging and alerting Infrastructure-as-Code using Terraform Secure, scalable deployment ...

Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. We have been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years 3x AWS AI/ ...

clients in a geospatial context. We are primarily a Python/Django house with an Angular front end. We recently moved to AWS for our cloud operations, and our approach to technology and development is constantly evolving. We are building a team that is able to utilize cloud computing … web architecture and application servers. Understanding and experience of geoservers, spatial projections, raster and vector manipulation within python and usage of GDAL Experience with AWS and data management tools, including data lake, data warehouse ETL, SQL based storage and PostgreSQL. Ability to design and implement data pipelines and data-related ...

maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality … experience in data engineering, including significant experience in a cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data ...