Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract … and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. In the first instance, please submit your CV. More ❯
PLEASE APPLY THROUGH THIS LINK: DO NOT APPLY BELOW Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
of back-end/server-side/systems programming topics such as distributed systems, multi-threading, memory and performance optimization . Our software is deployed to the cloud using Kubernetes , so were interested in candidates with expertise in Kubernetes, microservices, AWS , Docker, and the ability to productively use and maintain Linux systems. As we accelerate the integration of AI within More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Cumulocity
of back-end/server-side/systems programming topics such as distributed systems, multi-threading, memory and performance optimization . Our software is deployed to the cloud using Kubernetes , so we’re interested in candidates with expertise in Kubernetes, microservices, AWS , Docker, and the ability to productively use and maintain Linux systems. As we accelerate the integration of AI More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
Cumulocity
of back-end/server-side/systems programming topics such as distributed systems, multi-threading, memory and performance optimization . Our software is deployed to the cloud using Kubernetes , so we’re interested in candidates with expertise in Kubernetes, microservices, AWS , Docker, and the ability to productively use and maintain Linux systems. As we accelerate the integration of AI More ❯
Job: Site Reliability Engineer (SRE) Location: Basildon (5 days on-site) What you'll do: Run and automate Kubernetes clusters on cloud platforms (AWS, Azure, or GCP). Use tools like Terraform to build and manage infrastructure. Monitor systems, find problems, and fix them (including an on-call rotation). Build and manage CI/CD pipelines for fast, reliable … software delivery. What you need: 3+ years of SRE or DevOps experience. Expertise in Kubernetes and at least one major cloud provider. Strong skills in automation, monitoring, and incident response. Experience with scripting (Python/Bash) and Infrastructure as Code (Terraform). Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due More ❯
Job: Site Reliability Engineer (SRE) Location: Basildon (5 days on-site) What you'll do: Run and automate Kubernetes clusters on cloud platforms (AWS, Azure, or GCP). Use tools like Terraform to build and manage infrastructure. Monitor systems, find problems, and fix them (including an on-call rotation). Build and manage CI/CD pipelines for fast, reliable … software delivery. What you need: 3+ years of SRE or DevOps experience. Expertise in Kubernetes and at least one major cloud provider. Strong skills in automation, monitoring, and incident response. Experience with scripting (Python/Bash) and Infrastructure as Code (Terraform). Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due More ❯
This is a hands-on role focused on cloud configuration, microservices orchestration, and deployment automation across multiple tenants. Responsibilities Support AWS services including Transfer Family, EC2, and EFS Manage Kubernetes clusters with 70+ microservices across environments Maintain and promote Helm Charts from development to production Implement blue-green and canary deployments using Argo Rollouts Daily usage and support of ArgoCD … and deployment strategies Required Skills Minimum 7 years of IT experience in large-scale environments (preferably financial) At least 4 years of hands-on DevOps experience Strong command of Kubernetes and kubectl Helm chart management AWS infrastructure and services GitLab CI/CD and Git branching strategies Linux and bash scripting SSL diagnostics and connectivity troubleshooting Familiarity with incident, change More ❯
best practices Background of the Senior PostgreSQL Analyst (SRE): - Experience as a DBA with a focus on PostgreSQL essential - Experience in implementing and leading SRE practices helpful - Experience of Kubernetes and Containerisation helpful - Experience of DevOps automation tools Eg. GIT, JIRA, CI/CD etc - Experience of scripting languages for automation/migration handy - Experience of sys config man tools … such as Chef and Ansible helpful Is this job for you? At Meraki, we love recruitment and love words. Is this you? Gordon wants: PostgreSQL, SRE, DBA, Kubernetes , Chef, Containerisation More ❯
best practices Background of the Senior PostgreSQL Analyst (SRE): - Experience as a DBA with a focus on PostgreSQL essential - Experience in implementing and leading SRE practices helpful - Experience of Kubernetes and Containerisation helpful - Experience of DevOps automation tools Eg. GIT, JIRA, CI/CD etc - Experience of scripting languages for automation/migration handy - Experience of sys config man tools … such as Chef and Ansible helpful Is this job for you? At Meraki, we love recruitment and love words. Is this you? Gordon wants: PostgreSQL, SRE, DBA, Kubernetes , Chef, Containerisation More ❯
hertfordshire, east anglia, united kingdom Hybrid / WFH Options
Rightmove
performance degradation, and setting up rollback/recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics … ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML lifecycle. Can design for long-term scalability, reliability, and resilience. Has strong programming skills with Python More ❯
