151 to 175 of 294 Containerisation Jobs in London

sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation, or AWS SAM). Demonstrated ability to own and operate More ❯

QUALIFICATIONS - Experience with AWS cloud infrastructure development tools and workflows - Knowledge of GenAI applications in development automation - LLM tuning, LLM Distillation and sagemaker, Prompt Engineering - Experience with serverless computing, containerization and orchestration (Lambda, Docker, Kubernetes) - Background in build systems and CI/CD pipelines using CDK Our inclusive culture empowers Amazonians to deliver the best results for our customers. If More ❯

latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio, MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and More ❯

Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison between the Digital Delivery Automation Chapter and various Pods, ensuring alignment with overall product More ❯

to deployment. Proven ability to provide technical oversight and mentorship . Desirable: Experience within Financial Services/Insurance environments. Familiarity with API-first solution architectures . Prior exposure to containerisation (Azure Container Apps, Kubernetes, Docker). More ❯

with JavaScript (React preferred) and knowledge of cloud platforms (AWS, Azure, Cloudflare). Experience in solution design and delivering end-to-end digital services. Background in consultancy Knowledge of containerisation tools (Docker or Kubernetes) is a plus. A proactive, "get things done" mindset with the confidence to challenge the status quo. Technically hands-on! Why join? Influence how digital services More ❯

and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications More ❯

and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications More ❯

and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications More ❯

and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast-paced environment. Preferred Qualifications More ❯

design documentation and knowledge bases for transparency and collaboration Skills & Experience Required: 3+ years’ experience as a Platform Engineer in secure or regulated environments Strong knowledge of Kubernetes administration , containerisation, and CI/CD tooling Hands-on experience with Windows Server/Desktop and Red Hat Linux (RHEL) Proficiency with scripting languages (PowerShell, Bash, Python preferred) Understanding of network fundamentals More ❯

to liaise directly with business stakeholders. Desirable Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate More ❯

to liaise directly with business stakeholders. Desirable Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate More ❯

About you: You have backend C# .Net, ASP.Net MCV application development skills You also have experience with TypeScript, Angular or React You have a good understanding of Docker for Containerisation You have a good knowledge of cloud based systems (Azure/AWS) You have strong analysis and problem solving skills You're collaborative with great communication skills What's in More ❯

NoSQL databases. Strong knowledge of data structures, data modelling, and database schema design. Experience in supporting data science workloads and working with both structured and unstructured data. Familiarity with containerization technologies, such as Docker or Kubernetes. Experience with data visualization tools, such as Tableau or Power BI is a plus. Satalia , a VML Enterprise Solutions Company, is a community of More ❯

and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up; knowledge of emerging AI hardware accelerators and architectures; experience with containerization and orchestration technologies (Docker, Kubernetes); experience with cloud computing platforms (AWS, Azure, GCP) and their offerings. About the team Join our AGI team and work at the forefront of AI. More ❯

understanding and application of SOLID principles to create maintainable and scalable software. Significant demonstrable experience with cloud technologies, including designing, developing, and deploying microservices-based architectures, proficiency in using containerization technologies such as Docker and Kubernetes, and broad knowledge of cloud services and platforms with a focus on scalability, security, and performance. Demonstrable experience in effectively collaborating with Business Analysts More ❯

develop. Nice to Have Experience leading applied ML projects end-to-end, with a focus on code quality, runtime efficiency, and measurable impact. Familiarity with cloud platforms (e.g. AWS), containerisation (Docker, Kubernetes), and orchestration tools. Experience mentoring and coaching other data scientists and setting technical direction in high-impact domains. Background in mobility, insurance, user behaviour modelling, or driver risk More ❯

to work on and deliver technical solutions within the defence and government sector. Essential expertise: Python development expertise Frontend experience with React (or other JavaScript frameworks) AWS cloud experience Containerisation experience Offered: Salary up to £70,000 - £75,000 Flexible WFH options - only 1-2 days per month in London 25 days holidays Up to 5% matched pension contribution This More ❯

to work on and deliver technical solutions within the defence and government sector. Essential expertise: Python development expertise Frontend experience with React (or other JavaScript frameworks) AWS cloud experience Containerisation experience Offered: Salary up to £70,000 - £75,000 Flexible WFH options - only 1-2 days per month in London 25 days holidays Up to 5% matched pension contribution This More ❯

to work on and deliver technical solutions within the defence and government sector. Essential expertise: Python development expertise Frontend experience with React (or other JavaScript frameworks) AWS cloud experience Containerisation experience Offered: Salary up to £70,000 - £75,000 Flexible WFH options - only 1-2 days per month in London 25 days holidays Up to 5% matched pension contribution This More ❯

experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/CD pipelines, and containerisation (e.g., Docker). Ability to troubleshoot BI tool connections (e.g., Power BI). Desirable Skills Experience with Infrastructure as Code (e.g., CloudFormation). Please send me a copy of your More ❯

experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/CD pipelines, and containerisation (e.g., Docker). Ability to troubleshoot BI tool connections (e.g., Power BI). Desirable Skills Experience with Infrastructure as Code (e.g., CloudFormation). Please send me a copy of your More ❯

LLMs. Requirements Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally More ❯

LLMs. Requirements: Proven experience with LLM frameworks and transformer-based architectures. Strong Python skills and familiarity with key ML/DL libraries. Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools. Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling. Strong communication skills and ability to work cross-functionally More ❯