Atlanta, Georgia, United States Hybrid/Remote Options
Capital One
code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through More ❯
Washington, Washington DC, United States Hybrid/Remote Options
Capital One
code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through More ❯
McLean, Virginia, United States Hybrid/Remote Options
Capital One
code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through More ❯
Birmingham, West Midlands, United Kingdom Hybrid/Remote Options
Inspire People
Join a team at the heart of the global economy! The Department for Business and Trade ('DBT') and Inspire People are partnering together to bring you an exciting opportunity for Senior Site Reliability Engineers to join a team that ensures More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or GoogleCloudPlatform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed More ❯
oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex technical issues and More ❯
oriented language (we use .NET) and any modern javascript framework (we use React) Experience working with databases (SQL and NoSQL), APIs, and web technologies. Experience with cloud platforms (AWS, GCP, Azure) Solid understanding of software engineering principles, including clean code, testing, and version control (git). Strong problem-solving skills and the ability to break down complex technical issues and More ❯
experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new More ❯
Belfast, County Antrim, Northern Ireland, United Kingdom Hybrid/Remote Options
EVOLVE IN RECRUITMENT LTD
performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯
performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯
Belfast, County Antrim, Northern Ireland, United Kingdom
Evolve Recruitment
performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯
performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯
performance applications: Programming Languages: JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in More ❯
build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). … complex issues and advise on modern engineering practices for large-scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with More ❯
build, and manage the infrastructure that powers large-scale AI services and agentic workflows across government systems. Key Responsibilities Design and provision secure, scalable cloud infrastructure (AWS, Azure, or GCP) using Python-based Infrastructure as Code (Terraform or Pulumi). Build and optimise CI/CD pipelines to automate the deployment of AI applications and models (MLOps/LLMOps). … complex issues and advise on modern engineering practices for large-scale projects. Skills & Experience Strong background as a DevOps or Cloud Engineer in public cloud environments (AWS, Azure, or GCP). Experience deploying and managing infrastructure for AI/ML workloads using MLOps or LLMOps practices. Excellent scripting and automation skills in Python (e.g. Boto3, SDKs). Proven experience with More ❯
Austin, Texas, United States Hybrid/Remote Options
OSI Engineering
Model Context Protocol (MCP) integration and server development Big Data & Cloud Infrastructure Knowledge of building and deploying cloud based applications Hands-on experience with cloud data platforms (AWS/GCP/Azure) Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms) Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes Knowledge of containerization (Docker/Kubernetes) and More ❯
PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills and ability to translate technical More ❯
