1 to 25 of 42 AWS Jobs in Northern Ireland

models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker ...

models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker ...

operating and improving distributed systems, with a focus on reliability, performance and user impact. Experience of building applications hosted on cloud platforms such as AWS, Azure or Google Cloud. Ability to build code-defined, reliable and well-tested infrastructure using tools such as Terraform, CloudFormation or similar. Knowledge of Linux ...

follow agreed guidelines such as handling sensitive data correctly, using approved tools, and raising potential risks to senior colleagues. Basic understanding of cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker ...

environments, ensuring scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based ...

systems. Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments. Extensive experience in cloud environments (AWS, Azure, or GCP), including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio. Demonstrable expertise in creating interactive dashboards and visual analytics ...

hands‐on experience in backend development with Java. Proficiency in backend frameworks/technologies (Spring, Postgres DB, Redis). Experience with microservices architecture and AWS cloud platforms. Knowledge of CI/CD pipelines and DevOps practices. Familiarity with automated testing frameworks and quality assurance principles. Strong understanding of SDLC ...

OpenAI GPT, Hugging Face Transformers) to solve real-world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). Experience creating interactive visualizations and dashboards using tools such as Dash or Streamlit to communicate findings effectively. Strong interpersonal skills, with ...

more Flexible hybrid working The Role Lead Agile software engineering teams delivering enterprise-scale solutions Design and build cloud-native applications across AWS, Azure or GCP Stay hands-on with architecture, coding and technical decision-making Mentor engineers and champion engineering best practice Collaborate with clients to translate business requirements ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps: Proficient in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Leadership & Cross‐Team Collaboration: Demonstrate ...

. Expertise in resilience mechanisms and performance tuning to ensure system stability and efficiency at scale. Proficiency in managing cloud infrastructure and services (e.g., AWS, Kubernetes/EKS) and implementing DevOps best practices using CI/CD tools like GitHub Actions, Octopus Deploy, and Terraform. Strong leadership and cross‐team ...

skills. Experience in SaaS platform development with scale. Entrepreneurial spirit, priding yourself on getting things done with a high level of quality. Experience with AWS, Azure, GCP is a plus. Bachelor’s in Computer Science, advanced degree preferred, or equivalent professional experience. Joining the SCS team means you’ll work ...

expertise not mandatory)** Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications* Familiarity with at least one major cloud provider (**AWS, GCP, or Azure**)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

expertise not mandatory Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applications Familiarity with at least one major cloud provider ( AWS, GCP, or Azure ) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ...

models to production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Kubernetes) to build and manage scalable AI solutions. ...

generative AI concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects. Basic awareness of cloud technologies (AWS, Azure, or GCP). Some experience creating visualisations or dashboards (e.g., Dash, Streamlit), through coursework or previous roles. Good interpersonal skills, with an interest in explaining ...

SDLC) Continuous Integration (CI) Continuous Delivery and Continuous Deployment (CD) Infrastructure as Code (IaC) Containerisation with Docker Container Orchestration Cloud Computing Fundamentals Cloud Platforms (AWS, Microsoft Azure and Google Cloud) Configuration Management Monitoring and Logging Security Best Practices (DevSecOps) Networking Fundamentals Automation and Scripting Incident Management and Reliability Engineering Practical ...

passion for clean, performant code and continuous improvement. Bonus Points For Experience with AI tooling (Claude, Co‐Pilot) Experience with Python, cloud platforms (AWS, GCP, Azure), or other time‐series databases. Exposure to tick data, real‐time analytics, electronic trading systems. People management or team leadership experience. Why Join Data ...

data storage technologies and AI Tools. Experience of balancing technical dependencies with user needs and commercial constraints. Knowledge of public cloud platforms, such as AWS and Azure, including SaaS and PaaS offerings. Experience of researching novel or new technologies and making recommendations for their use. Embracing our differences At Kainos ...

database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. ...

field.* Experience managing or influencing product strategy for enterprise infrastructure platforms, including cloud, compute, storage, and hosting.* Strong understanding of public cloud platforms, including AWS, Microsoft Azure, and Google Cloud Platform (GCP), and the operational capabilities required to support enterprise-scale adoption.* Knowledge of Infrastructure as Code (IaC) and automation ...

definition, architecture realisation and risk management Comfortable with traditional and contemporary data warehousing concepts Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks Comfortable in one or more of Java, Scala, or Python with the ability to be ‘hands on’ when required We are passionate ...

Integrate multiple sources into modern cloud platforms - Collaborate across engineering and delivery on mission-critical programmes **The environment** Python, SQL, Spark, Java or Scala · AWS, Azure or GCP · modern distributed and cloud-native architectures **What we need** - Active DV clearance essential - Production-scale pipeline experience - Strong engineering and platform mindset ...