451 to 475 of 996 Permanent Containerisation Jobs

code and products go to production. What are the key skills/experience you'll already have? C# .Net 8 Azure experience including Azure SQL, Data Factory and Functions Containerization (Docker/Kubernetes) Helm Charts Entity Framework Core Strong demonstrable experience with building and optimizing CI/CD pipelines Web APIs Unit/Integration testing experience To find out more More ❯

Strong understanding of modern development practices – Agile, CI/CD, automated testing Ability to work closely with stakeholders and translate requirements into practical solutions Any experience with AI services, containerisation, or microservices would be a plus What’s on Offer Competitive salary benefits Hybrid working model (London office, 2–3 days per week) The chance to build innovative solutions with More ❯

Java and Python and Front-End experience, confident working with AWS cloud infrastructure and data handling. Experience with building REST APIs and ETL pipelines is essential, with knowledge of containerisation (Docker/Kubernetes) being desirable. This is a fantastic opportunity to join a growing business with exciting projects, technical variety, and great progression opportunities. The Role: *Full Stack Development of More ❯

compliance with security and regulatory requirements (encryption, logging, IAM Strong expertise in AWS core services (EC2, S3, Lambda, VPC, IAM, CloudWatch Experience with IaC (Terraform or CloudFormation Knowledge of containerization and orchestration (Docker, Kubernetes, EKS Familiarity with CI/CD pipelines for infrastructure deployment. Experience in cloud security (KMS, encryption, IAM best practices Exposure to supporting data platforms (Databricks, KDB More ❯

Java and Python and Front-End experience, confident working with AWS cloud infrastructure and data handling. Experience with building REST APIs and ETL pipelines is essential, with knowledge of containerisation (Docker/Kubernetes) being desirable.This is a fantastic opportunity to join a growing business with exciting projects, technical variety, and great progression opportunities. The Role: *Full Stack Development of ML More ❯

years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI/CD tools (CircleCI More ❯

conception through to completion and launch. Python Developer Experience: Python, including APIs, data structures, and async processing Databricks/Microsoft Fabric Cloud, preferably Azure (Data Lake, Functions, App Services) Containerisation with Docker and CI/CD pipelines MLOps tooling (MLFlow, Git-based versioning, environment tracking) Desirable Skills & Interests LangChain, Langflow, or similar frameworks for building AI agents LLMs or intelligent More ❯

SQL . Familiarity with front-end technologies such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus More ❯

SQL . Familiarity with front-end technologies such as HTML , CSS , and JavaScript . Experience in Web API design and implementation. Desirable: Commercial experience with Typescript . Experience with containerization (e.g., Docker ) and container orchestration (e.g., Kubernetes ). Experience in SPAs and responsive web development, particularly with Angular . Familiarity with enterprise messaging systems (e.g., NServiceBus , Azure Service Bus More ❯

development with a focus on JavaScript, Angular, and API integration. • Proficiency in developing and deploying applications in the AWS cloud environment using native development tools. • Hands-on experience with containerization technologies such as Docker and Kubernetes. • Strong working knowledge of ElasticSearch for data indexing, querying, and integration. • Demonstrated experience in AI/ML, including AI modeling with Large Language Models More ❯

bit Intel/AMD, MIPS) Experience with source control and code repository tools Preferred Qualifications: Experience with embedded HW/SW Reverse Engineering and JTAG Experience with virtualization and containerization (VM, Kubernetes, Docker, etc. More ❯

TypeScript. Backend: Node.js, TypeScript, Express, or NestJS. Databases: Experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) . Cloud & DevOps: Experience with AWS services (Lambda, S3, Cognito, RDS) and containerization (Docker, Kubernetes). Security & Compliance: Familiarity with OAuth, JWT, HIPAA/GDPR compliance. Join a purpose-driven startup focused on improving patient outcomes. Collaborate with experts in healthcare, neuroscience, game More ❯

an active TS/SCI clearance (can hold up to TS/SCI FSP) • Strong programming skills in Python • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) • Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. • Understanding More ❯

Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods. Hands-on experience building and deploying ML models in cloud environments (GCP, AWS, or Azure Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX Familiarity with big data technologies such as Spark, Hive, or Hadoop. Experience with Google Vertex AI and writing Terraform scripts for More ❯

applications. • Experience building real-time data processing applications using streaming libraries like Kafka Streams. • Understanding of common Enterprise Integration Patterns (EIP) and how to apply them. • Experience with service containerization and deployment using Docker and/or Kubernetes. • Experience with Extract, Transform, Load (ETL) software patterns to ingest large and complex datasets. • Familiarity with Git and GitLab CI/CD. More ❯

TO HAVE To be successful, you should have: Strong hands-on experience with Linux (RedHat preferred) Shell scripting skills (e.g., Bash, KornShell) Knowledge of AWS cloud environments Familiarity with containerisation (Kubernetes) and IaC tools (Terraform) Experience with server storage and volume management (RAID, LVM) Exposure to hardware/infrastructure (especially Dell) NICE TO HAVE Experience automating OS and middleware builds More ❯

for: 3+ years' experience in a cloud-related role (ML-related is a big plus). Strong scripting ability (Bash, Python, PowerShell, etc.) for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus More ❯

data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting More ❯

discipline. Strong problem-solving ability with an innovative and independent mindset. Effective communication and teamwork skills. Desirable: C programming skills for low-level or performance-critical development. Experience with containerisation (Docker, Kubernetes). Familiarity with endpoint security, intrusion detection, or system hardening. Contributions to Linux or open-source projects. Experience with debugging, profiling, or performance optimisation tools. Why Join Us More ❯

SOSA, FACE Experience with the use of Agile processes and tools Desired Experience: Previous experience working in the defense industry desired Familiar with Type1/2 Hypervisor Familiar with containerization (Docker, Kubernetes) Familiar with IOT concepts Experience with Cameo Systems Modeler Data Distribution Service (DDS) experience Experience with User Datagram Protocol (UDP) and Transmission Control Protocol (TCP) Multicast network experience More ❯

data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and iterative product development. Knowledge of graph databases and graph analysis. Benefits Our client offers an exciting More ❯

discipline. Strong problem-solving ability with an innovative and independent mindset. Effective communication and teamwork skills. Desirable: C programming skills for low-level or performance-critical development. Experience with containerisation (Docker, Kubernetes). Familiarity with endpoint security, intrusion detection, or system hardening. Contributions to Linux or open-source projects. Experience with debugging, profiling, or performance optimisation tools. Why Join Us More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯

learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid Working : A flexible mix of office and remote work 📈 Career Growth : Structured professional development, mentorship, and training More ❯