326 to 350 of 1,880 Kubernetes Jobs in London

solutions in collaboration with data scientists and product teams Design and build model pipelines for training, validation, and deployment using modern tooling (e.g.MLflow, Kubernetes) Contribute hands‐on code to model packaging, deployment, and lifecycle automation Build systems thatmonitormodel performance, drift,reliabilityand operational health in real time Support both batch ...

VAEs; diffusion models a plus).Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).Strong communication skills for both technical and non-technical audiences.Preferred qualificationsExperience fine-tuning small language models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation ...

design and deploy automated preventive and detective guardrails at scale. Expertise in leveraging IaC scanning to detect misconfigurations and compliance violations across Terraform and Kubernetes manifests. Hands‐on experience in integrating a comprehensive DevSecOps tooling stack, including SAST, SCA, RASP, IAST, container and image scanning, secrets detection, and AI‐powered ...

/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong ...

DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event‐driven systems, as well as experience with containerization and orchestration (Docker, Kubernetes). Strong operational mindset: expert in observability, monitoring, incident response, performance engineering, and adherence to security best practices. Familiarity with CI/CD pipelines, automated ...

APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data ...

/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong ...

cloud systems. Experience operating GPU‐backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Strong Kubernetes experience, including operating production clusters. Hands‐on experience running production workloads in AWS, GCP, or Azure. Experience operating complex distributed systems in production, ideally including ...

/ctp/rdb/hdb and differences between real-time vs historical queries and usage of gateways.• Containerised data workloads using Docker and Kubernetes, with reproducible, environment-agnostic deployment of data infrastructure.• Analytical data modelling expertise, including dimensional models or data vaults, schema evolution, slowly changing dimensions, and downstream ...

maintainability, and cost Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL ...

KafkaExperience designing and implementing stream processing applications with FlinkExperience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)Experience with Kubernetes (either self-hosted or on the cloud)Experience with SQL databasesExperience working with Docker, container deployment and managementExperience describing infrastructure as code (Terraform or similar ...

cloud platforms (e.g., AWS, Azure, Google Cloud) Expertise in architectural design, data pipelines, cloud platforms, and API development Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards Familiarity with agile methodologies and agile delivery Experience with SOLID principles and application architecture design Proficiency ...

batch and stream data processing systems.Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, Cloudwatch), GCP (BigQuery).Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial.Good understanding of AI platforms, experience building the infrastructure for LLM orchestration (e.g., Vector DBs, RAG pipelines, or GPU scaling) is a significant ...

Strong commercial experience developing backend applications in Golang* Experience building and supporting microservices architectures* Experience deploying and operating applications in containerised environments, ideally Kubernetes* Knowledge of relational and NoSQL databases* Experience working within agile development environments* Ability to diagnose and resolve issues across the application stack, including network, server ...

experience designing and operating distributed systems or cloud-native services. Experience building APIs, platform services, and infrastructure that other engineers depend on. Familiarity with Kubernetes, Docker, and modern cloud platforms such as AWS, GCP, or Azure. Strong understanding of software quality, automated testing, observability, and continuous delivery. Proven ability ...

onboarding and optimizationYou’re a hands-on security engineer interested in automating controlsYou have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environmentsFamiliiarty with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI)You have experience with one or more ...

maintainability, and cost• Expert knowledge of cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, with strong experience using Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments• Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL ...

DevOps adoption for a Java/Springboot development department. You'll combine people management with hands-on proficiency in Jenkins, ArgoCD, AWS/Kubernetes, Terraform, and DevSecOps/GitOps practices. You'll be architecting build systems, designing scalable build infrastructure, improving team processes, and collaborating across leadership to deliver technical ...

including designing and implementing services/data models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent experience with cloud hosted AI platforms (Bedrock ...

internal stakeholders. Create a modern, cloud‐native platform that is resilient, cost‐effective, and secure by default. Scale cloud infrastructure to support our Kubernetes‐based ecosystem. Maintain the freshness and utility of platform services. Improve the security posture of our products. Design automation, orchestration, observability, and disaster readiness into ...

developmentExperience building APIs with technologies such as C# or JavaExperience with NoSQL databases including Couchbase or MongoDBFamiliarity with CI/CD pipelines, Docker, Kubernetes, and modern DevOps practicesWhy join Verisk Work on challenging technical problems with real-world impactHelp shape products used by leading organizations across the global insurance industryInfluence ...

relational databases) and data‐intensive workloads. Experience running services on a major cloud provider (e.g. AWS, GCP) and with containerisation/orchestration (e.g. Docker, Kubernetes). Exposure to regulated or high‐assurance environments and the constraints they introduce. Benefits Opportunity to travel (if applicable) Flexible vacation policy Private Healthcare Employee ...

hands‐on approach to building and supporting production systems. You have strong experience working with AWS and/or Azure and are comfortable operating Kubernetes‐based platforms such as EKS, along with a solid Linux foundation.You are familiar with SRE concepts and observability practices, and you have experience working with ...

getting good quickly. People who wait to be trained will find this uncomfortable.Nice to have: Experience building Data Mesh or Lakehouse architectures.Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks.BenefitsWhat it’s like to work at ZegoAt Zego ...

getting good quickly. People who wait to be trained will find this uncomfortable.Nice to Have:Familiarity with Data Mesh or Lakehouse architectures.Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks.What’s it like to work at Zego At Zego ...