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Understanding of DevOps technologies (IaC, Configuration Management, Containerisation, CI/CD, Test Automation). CI/CD - Azure DevOps. Understanding of DevOps technologies (IaC, Configuration Management, Containerisation, CI/CD, Test Automation.
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Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up.
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Job Title: DevOps Engineer (SC Cleared) Are you an experienced DevOps Engineer looking for your next challenge? My client is one of the leading Global IT Consultancy Houses and they are currently looking for skilled and passionate DevOps Engineers to join their team of World-Renowned IT Professionals right away.
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Oliver Bernard are currently working with a FinTech company who are looking to take on a Snr DevOps Engineer as part of current expansion plans across tech, due to a surge in demand for their platform.
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Senior Test Architect – QA, Client Engagement, Automation, DevOps, Consultancy – Permanent – London/ Hybrid – Paying £100,000-£120,000 base + package. In addition, this individual should have technical experience in modern QA practices, e.g. Automation, DevOps, Cloud, and various programming languages.
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Site Reliability Engineer- Lead, Mentoring, Kubernetes, PaaS, IaaS, SQL, Azure DevOps, CI/CD. Azure DevOps CI/CD Automation & Hands-on Azure Pipelines. Site Reliability Engineer- Lead, Mentoring, Kubernetes, PaaS, IaaS, SQL, Azure DevOps, CI/CD.
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With CI/CD tools such as Azure DevOps or Jenkins for automating the deployment and testing of data engineering solutions. With expertise in tools like Airflow for orchestration and GitHub for version control, you will champion DevOps practices to ensure seamless collaboration and automation across the data engineering lifecycle.
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Technical Expertise: Expert knowledge of Python and its popular libraries like NumPy, Pandas, SciPy, Scikit-learn, Statsmodels ,QuantLib ,Matplotlib, TensorFlow ,PyTorch ,Zipline and Dash. Technical Expertise: Expert knowledge of Python and its popular libraries like NumPy, Pandas, SciPy, Scikit-learn, Statsmodels ,QuantLib ,Matplotlib, TensorFlow ,PyTorch ,Zipline and Dash.
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Working knowledge of Azure DevOps. Pearson Carter is the Global Leader in Microsoft Technology, Microsoft Dynamics CRM/Dynamics 365 and Power Platform Recruitment with specialist roles across the globe - www.
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Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement. Working knowledge of Azure DevOps (Git, build and release pipelines), Python, databricks, and snowflake as a requirement.
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Experience of managing infrastructure within a DevOps organisation – including Infrastructure-as-Code (IaC), automation and enterprise monitoring and reporting tools such as Ansible, Terraform, Zabbix, and Azure Monitor.
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Proficiency in PyTorch, Tensorflow, Jax, or equivalent. Strong understanding of software development life cycle (SDLC), agile methodologies, and DevOps practices. There will be opportunities to get involved with state-of-the-art deep learning research thanks to our partnership with the University of Cambridge and also UI / UX design and frontend development if desired.
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The DevOps Engineer will have deep knowledge of the AWS data engineering stack: Kinesis, Redshift, Glue, EMR and be passionate about writing high-quality code that not only solves problems but improves the overall estate.
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Now, as we prepare to scale exponentially and introduce a series of new products to market, we are seeking a proactive Technical Infrastructure Manager to lead a team of two principal-level engineers.
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As a DevOps Engineer at Modo Energy, you will not be starting from scratch but will play a crucial role in optimizing and expanding our existing infrastructure. 2+ years of experience in a DevOps role, ideally within a startup environment.
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