9 of 9 AWS Lambda Jobs in County Antrim

our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact … efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and optimize our AWS cloud infrastructure for machine learning, ensuring cost-effectiveness, security, and high availability CI/CD Pipeline Development: Develop and maintain robust CI/CD pipelines for continuous integration and … Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field 3+ years of experience in machine learning operations, data engineering, or related roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML More ❯

that come with processing sensitive data. Learn to build with security in mind. Make your mark on ambitious projects. Our tech stack includes: NodeJS and TypeScript for backend development AWS Lambda, ECS, EC2, CloudWatch High volume NoSQL and SQL databases such as Dynamo DB, Postgres Terraform built environments Services built with .NET DevOps tools and methodologies such as More ❯

Strong background in DevOps, cloud-native development, and infrastructure-as-a-service (IaaS) Experience managing complex software systems, integrating AI tooling, and building scalable products Experience with platforms like AWS, DigitalOcean, and on-prem setups is helpful. Fluency with Agile/DevOps workflows, Jira/Confluence, and cloud-native tooling (e.g. Terraform, Kubernetes) Excellent interpersonal, leadership, and analytical skills …/Desirable experience: Agile certifications (Scrum Master, PMP, or equivalent) Hands-on with CI/CD pipelines, database triggers, containerisation, and cloud infrastructure Experience with cloud GPU platforms (e.g., Lambda Labs, FluidStack, CoreWeave) Familiarity with software delivery in hybrid environments (cloud, on-prem, hosted More ❯

Systems Architecture - AWS data engineer Job Description Location: UK - Will require travel to customer site ](Belfast) Job Summary: We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS … accuracy and completeness. -Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. -Cloud Infrastructure: Deploy and manage data infrastructure on cloud platforms - Primarily AWS -Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills -Strong proficiency in SQL, Python … and Spark. Experience with metadata-driven ETL/ELT. -Experience with AWS Glue, Databrew, S3, AWS Lambda, PostgreSQL, Quicksight -Version Control (Gitlab) and CI/CD -Familiar with security and networking principles, especially in an AWS deployment. -Understanding and experience handling both structured and unstructured data. -AWS focused with working experience and/or relevant More ❯

a comprehensive suite of services to help our Public and Private Sector customers unlock the full potential of their data. Job Summary : We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies … Preferably AWS) and tooling. This role requires understanding of data modelling, database design, and data integration techniques. Key Responsibilities Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services. Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency. Data Pipelines: Build, maintain, and optimise … accuracy and completeness. Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. Cloud Infrastructure: Deploy and manage data infrastructure on cloud platforms - Primarily AWS Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand their data needs and deliver high-quality data solutions. Key Skills Strong proficiency in SQL, Python More ❯

integration and data fetching Experience with state management solutions (e.g., Redux, Zustand, Context API) Experience with Node.js and back-end technologies (e.g., Express, NestJS) Familiarity with serverless platforms (e.g., AWS Lambda, Google Cloud Functions) Experience with database technologies (e.g., PostgreSQL, MongoDB) Exposure to CI/CD pipelines. Native module integration with Expo for example Experience with Golang What More ❯

microservices architecture. What You’ll Do: Build and enhance backend services and APIs using Node.js and TypeScript. Design and maintain a microservices architecture that ensures resilience and scalability. Utilise AWS and serverless technologies to streamline infrastructure and deployment processes. Write high-quality, maintainable code following best practices for security and performance. Tech Stack: Backend: Node.js, TypeScript Frontend: React.js Infrastructure … AWS Lambda, Serverless Computing Architecture: Microservices What We’re Looking For? Hands-on experience as a Full Stack Engineer or in a similar role. Strong proficiency in Node.js, React.js, and TypeScript. Knowledge of cloud platforms (AWS) and serverless technologies. Experience with microservices architecture and building scalable systems. Why Join Us? Work with a modern tech stack and More ❯

ViTs), or similar. Solid 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 More ❯

to clearly communicate technical decisions and collaborate across disciplines. Experience and skills we'd love: 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. Computer Vision Expertise: Practical experience or exposure to modern computer vision models More ❯