826 to 850 of 9,783 AWS Jobs

PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR … experience 🌳 Proven delivery of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves … provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR … experience 🌳 Proven delivery of data science models or data engineering pipelines from concept to production. Strong Python skills plus SQL and data visualisation experience. Hands-on with cloud platforms (AWS preferred) and containerisation (Docker/Kubernetes). Experience working with Defence, Government, or National Security data environments. Security Clearance: Active SC or DV (must be current). Nice-to-haves … provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal More ❯

as Jenkins, Bamboo, TeamCity and Bitbucket Work with Version Control Systems including Git, Mercurial, and Perforce Implement and maintain automated testing frameworks Deploy and manage Cloud Computing infrastructure, particularly AWS and MS Azure Work with containerisation technologies including Docker and Kubernetes Have opportunities to mentor junior level developers The Senior Platform Engineer will have: Strong programming experience in one or … code analysis tools (e.g. SonarQube) The ability to work as part of a team, knowledge share and solve complex client challenges using precedent and creativity Experience with cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), or database systems would be advantageous The Package: £65,000 - £80,000 base salary Discretionary bonus scheme 25 days holiday with buy/sell and carry More ❯

as Jenkins, Bamboo, TeamCity and Bitbucket Work with Version Control Systems including Git, Mercurial, and Perforce Implement and maintain automated testing frameworks Deploy and manage Cloud Computing infrastructure, particularly AWS and MS Azure Work with containerisation technologies including Docker and Kubernetes Have opportunities to mentor junior level developers The Senior Platform Engineer will have: Strong programming experience in one or … code analysis tools (e.g. SonarQube) The ability to work as part of a team, knowledge share and solve complex client challenges using precedent and creativity Experience with cloud platforms (AWS, Azure), containerisation (Docker, Kubernetes), or database systems would be advantageous The Package: £65,000 - £80,000 base salary Discretionary bonus scheme 25 days holiday with buy/sell and carry More ❯

suits someone passionate about automation, reliability, and continuous improvement. Key Responsibilities Build and maintain CI/CD pipelines to automate software deployment and testing. Manage and scale cloud infrastructure (AWS/Azure/GCP). Containerise and orchestrate applications using Docker and Kubernetes . Collaborate with development, QA, and operations teams to optimise release processes. Implement monitoring, alerting, and logging … process. Core Skills & Experience Strong experience with CI/CD tools (e.g. Jenkins, GitHub Actions, GitLab CI). Deep understanding of Docker , Kubernetes , and container orchestration. Cloud platform expertise – AWS or Azure (GCP a plus). Scripting in Python , Bash , or PowerShell . Knowledge of Terraform , Ansible , or similar infrastructure automation tools. Familiarity with monitoring tools (e.g. Prometheus, Grafana, ELK More ❯

Providing accurate estimates for development effort and delivering high-quality code to agreed specifications. Developing software solutions with a strong focus on data processing and information flow. Working with AWS Cloud infrastructure and modern DevOps practices. Analysing and resolving code defects through logical, efficient debugging. Mentoring junior developers and contributing to team knowledge sharing and best practices. Collaborating in Agile … complex technical problems and delivering innovative solutions for customers. A proactive mindset and eagerness to learn new technologies and continuously improve skills. An understanding of cloud technologies such as AWS, Docker, and Microservices (desirable but not essential). Excellent teamwork skills and an appreciation for Agile delivery methods. Strong communication skills, with the ability to collaborate effectively and share knowledge More ❯

of open-source libraries, frameworks, and components. Build and maintain CI/CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of the software lifecycle — from requirements analysis to support and maintenance. Collaborate closely with clients and multidisciplinary teams in an Agile environment. … About You We’re particularly interested in Full Stack Engineers with commercial experience in: Extensive full stack commercial experience using a range of languages/technologies including Java & AWS Agile development environments. Building, testing, and deploying modern cloud-based applications. Previous consultancy experience is beneficial but not essential. You’ll be proactive, collaborative, and motivated to work on meaningful, technically More ❯

of open-source libraries, frameworks, and components. Build and maintain CI/CD pipelines using tools such as GitLab , ensuring code quality and security. Deploy software systems across public (AWS) and private cloud environments. Engage in all stages of the software lifecycle — from requirements analysis to support and maintenance. Collaborate closely with clients and multidisciplinary teams in an Agile environment. … About You We’re particularly interested in Full Stack Engineers with commercial experience in: Extensive full stack commercial experience using a range of languages/technologies including Java & AWS Agile development environments. Building, testing, and deploying modern cloud-based applications. Previous consultancy experience is beneficial but not essential. You’ll be proactive, collaborative, and motivated to work on meaningful, technically More ❯

ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world … testing, integration testing, differential testing, Python package building, and code version control. Skilled in data pipeline creation and working with both structured and unstructured data. Familiar with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes. Excellent problem-solving skills, combined with the ability to communicate complex technical concepts clearly to non-technical stakeholders. Ability to mentor … software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience# Remote Type Hybrid Remote Skills to succeed in the role Active Learning, Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Cross-Functional Work, Curiosity, Databricks Platform, Data Science, Data Storytelling, Digital Literacy, Emotional Intelligence, Empathy, Git, Initiative, Machine Learning, Problem Solving, Python (Programming More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

standard Desirable Skills: * Designing microservice-based architectures using domain driven design (DDD). CQRS and Event Sourcing patterns * Kubernetes * Knowledge/Certification in Spring framework. * Experience in cloud technologies AWS/Azure/GCP More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices … Degree (or higher) in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal More ❯

puts flexibility and trust at the core. What You'll Be Building Intelligent platforms that leverage real-time data and AI Microservices-based systems using Java , Spring Boot , and AWS Secure, scalable infrastructure for public and private sector clients Front-end applications using React.js , TypeScript , and modern UI/UX principles CI/CD pipelines and DevOps tooling for seamless … so whether you're mid-level or principal, we'd love to hear from you if you have: Strong experience with Java and Spring Boot Hands-on knowledge of AWS (Lambda, ECS, S3, etc.) Front-end development skills with React.js , TypeScript , or Angular.js Familiarity with CI/CD pipelines and DevOps tooling Bonus points for experience with: AI/ML More ❯

of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data … on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid More ❯

of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data … on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid More ❯

of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data … on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid More ❯

of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data … on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid More ❯

of experience across data engineering, cloud computing, or data warehousing Minimum 2 years in hands-on development capacity Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data … on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid More ❯

Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions Containerise and deploy backend applications using modern tooling (e.g., Docker … using Terraform (modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control. Familiarity with observability tools such as Prometheus More ❯

Technology Officer (CTO), ensuring close alignment with our technical vision and strategic roadmap. Responsibilities Maintain and evolve cloud infrastructure, primarily on Google Cloud Platform (GCP), with some exposure to AWS and Azure Write, review, and manage modular, reusable Terraform code Operate and enhance CI/CD pipelines using GitHub Actions Containerise and deploy backend applications using modern tooling (e.g., Docker … using Terraform (modular and reusable patterns preferred) Strong foundation in Linux, networking, and container technologies Experience deploying and managing applications on at least one major cloud provider (GCP preferred; AWS or Azure acceptable) Experience working with relational databases in production environments (e.g., Postgres, MySQL), including basic performance troubleshooting, migrations, backups, and access control. Familiarity with observability tools such as Prometheus More ❯