226 to 250 of 1,450 Containerisation Jobs in England

Experience with MLOps, MLflow, Weights & Biases or similar experiment management platforms. Knowledge of cloud‐based AI platforms such as AWS, Azure or GCP and containerisation technologies including Docker. Experience with explainable AI, adversarial robustness, privacy‐preserving techniques or other Responsible AI practices. Proficiency in C++ and development within safety‐critical ...

pipelines* VxRail and hyper-converged infrastructure* Automation of VCF lifecycle (patching, upgrades, deployment)* Integration with enterprise identity and security services (AD, PKI, PAM)* Containerisation platforms (Kubernetes, Docker)This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

fairness, accountability, and transparency Nice to have: Experience with LLM fine‐tuning techniques including LoRA adapters, preference optimisation (RLHF/DPO), and model distillation Containerisation and orchestration experience with Docker, Kubernetes, and ML‐specific operators AI model serving experience with modern inference servers and API gateways for AI applications Infrastructure ...

Data: SQL, data pipelines/ETL/ELT, caching strategies, data quality checks, reproducible inputs/outputs. DevOps: CI/CD, infrastructure as code, containerisation (e.g., Docker), monitoring/alerting, incident management. Quality: unit/integration tests, performance tests, model validation frameworks, feature flags. Location & Hours of Work We operate ...

data transfer systems* Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code* Hands-on use of DevSecOps tools and CI/CD pipelines* Containerisation platforms (Kubernetes, Docker)## ## Security ClearanceThis role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard ...

/attestation, and experience in consolidating fragmented user identities into a unified identity model. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and containerisation technologies (e.g., Docker, Kubernetes). Contributions to open‐source projects or a personal portfolio demonstrating technical curiosity and skill. Experience with Domain‐Driven Design ...

mentoring abilities. Effective communication with development, operations, and security teams. Ability to advocate for security best practices in a DevOps culture. Desirable Skills Containerization Security Expertise in Kubernetes security (e.g., RBAC, network policies, pod security standards, secrets management). Knowledge of container runtime security (e.g., container escapes, rootless containers, sandboxing ...

appetite to move across technologies. Exposure to Kubernetes and Kafka a plus. Knowledge of microservices, APIs, and cloud‐based deployment. CI/CD, containerisation, and DevOps practices as part of how you work day to day. Security best practices applied in day‐to‐day development. An interest in AI‐assisted ...

Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks. Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms. Contributions to the AI community through publications, patents, conference presentations, research, or open‐source projects. EDUCATION Bachelor's degree or equivalent experience ...

event‐driven communication (e.g. via Kafka) — and an understanding of how those decisions play out once services are running in production. CI/CD, containerisation, and modern DevOps practices applied as part of everyday delivery. Security best practices embedded in day‐to‐day development. An interest in AI‐assisted development ...

NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation tools like Docker or Kubernetes o Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation) Strong understanding of data modelling and system architecture Demonstrable experience ...

Databricks accreditation or certification. Relevant Microsoft Azure, AWS or comparable cloud certification. Experience with AI/ML data workflows and advanced analytics. Experience with containerisation technologies such as Docker or Kubernetes. Your Educational & Professional Qualifications A degree in Computer Science, Information Technology or a related discipline, or equivalent relevant professional ...

similar). Experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Pulumi), and a sharp eye for insecure configurations within it. Knowledge of containerisation (e.g., Docker) and how to secure images and container workloads. An understanding of the security risks AI-assisted development introduces, and how to manage them without slowing ...

Strong Python skills and experience building and operating machine learning solutions in cloud environments. Experience with MLOps tooling and practices, including CI/CD, containerisation, orchestration, model deployment, monitoring, and infrastructure automation. Experience using SQL and working with large-scale data platforms. Familiarity with modern cloud platforms such as Azure ...

infrastructure with limited oversight. GCP & Containers: Solid hands-on experience with Google Cloud Platform (Compute, IAM, VPC, GKE, Cloud Storage, managed data services) and containerisation with Docker and Kubernetes. Infrastructure-as-Code: Proficient with Terraform - modules, state management, and reviewing changes safely. CI/CD: Proficient at building and debugging ...

extensive cloud automation knowledge with DevOps culture. We ensure we document our architecture and infrastructure as code, using technologies such as Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding ...

wire up the MCP servers, deploy the agents, and harden the bits that survive contact with real users. Deploy on AWS, Azure, Cloudflare, orVercelusing containerization (Docker, Kubernetes) or serverless—chosen for fit, not preference. Treat evals as a first‐class discipline: hands‐on harnesses, not theoretical frameworks. Build with ...

code (for example Ansible, Terraform or Python) to manage configuration, deployment, testing and validation at scale.* Broad infrastructure and platform knowledge, including virtualisation, containerisation, Microsoft server, Linux, cloud, compute and storage technologies.* Exposure to platform engineering and DevOps practices, such as CI/CD, automation and orchestration, enabling effective collaboration ...

Respond to incidents and perform root cause analysis DevOps or infrastructure engineering experience Strong knowledge of cloud platforms (AWS, GCP, or Azure) Experience with containerization (Docker, Kubernetes) Proficiency with infrastructure as code (Terraform, CloudFormation) Understanding of networking, security, and monitoring Experience with CI/CD tools (GitHub Actions, Jenkins, etc. ...

design skills, including API contracts, versioning and integration patterns. JUnit - Automated unit testing. JSON - Experience working with API data structures and formats. Docker - Containerisation of microservices. Kubernetes - Hands-on experience deploying and managing microservices. Git/CI/CD - Version control and automated build and deployment pipelines. Desirable Skills ...

contracts, versioning, security, integration patterns and performance optimisation. Application Modernisation - Experience modernising legacy applications, service decomposition and integration with existing systems. Docker & Kubernetes - Containerisation, deployment and management of microservices. Technical Leadership - Leading developers, providing technical direction, mentoring and resolving complex engineering challenges. Engineering Standards - Establishing development standards, conducting code reviews ...

learn from senior members. Cloud and MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/unsupervised learning, model evaluation techniques, and feature engineering. Advanced ...

command-line and shell scripting skills, including Bash or Zsh. A demonstrable track record of delivering automation and operational improvements. Experience with Kubernetes and containerisation technologies. Strong troubleshooting, problem-solving and collaboration skills. Desirable Skills Experience working with Microsoft Azure. Experience supporting multi-cloud platforms or cloud control planes. Knowledge ...

proven experience of Infrastructure as Code technologies (ideally Terraform) and using and implementing version control strategies with these technologies Knowledge and proven experience of containerisation and deploying container workloads, ideally on Kubernetes Knowledge and proven experience with Continuous Delivery/Continuous Integration patterns and platforms e.g. Jenkins, GitHub actions ...

practices Proficiency with IaC and automation tools such as Bicep, Terraform, PowerShell, JSON, Azure DevOps or Jenkins Solid understanding of cloud-native architectures, microservices, containerisation and API Management real-time monitoring and observability tools such as Azure Monitor, Log Analytics, AppInsights and Grafana Hands-on experience with Microsoft technologies including ...