Site Name: UK – London – New Oxford Street Posted Date: Jan 9 2025 GSK is seeking a highly skilled and experienced Senior Engineer – NetDevOps to join our dynamic IT infrastructure team. This role is pivotal in the ongoing development, deployment, and maintenance of our network infrastructure, with a specialized focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) to enhance network automation, observability, and incident management. The ideal candidate will bring a strong background in network engineering, AI/ML technologies, and automation, contributing to the modernization of GSK’s network and observability platforms. In this role you will AI Ops and ML Development Design and implement AI-driven solutions for anomaly detection, predictive analytics, and automated remediation. Build and fine-tune machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn to optimize network operations. Integrate AI Ops frameworks with tools such as Moogsoft, Dynatrace, or Splunk ITSI to deliver actionable insights. Network Automation and Optimization Automate network tasks, configurations, and maintenance using tools like Ansible, Terraform, and scripting languages such as Python or PowerShell. Develop and maintain CI/CD pipelines for deploying AI Ops and ML solutions in network environments. Enhance monitoring capabilities using AI to reduce alert noise and prioritize critical issues. Observability and Incident Management Collaborate with teams managing tools like SolarWinds, Zscaler ZDX, Elastic, and Juniper Mist to improve data collection, correlation, and visualization. Use AI/ML to proactively identify and resolve network vulnerabilities and performance issues. Conduct root cause analysis (RCA) for network incidents and implement long-term improvements based on AI insights. Mentorship and Continuous Improvement Mentor junior engineers, providing guidance on adopting AI/ML technologies, automation, and NetDevOps best practices. Stay updated on industry trends in AI Ops, network automation, and observability, applying innovations to improve operational efficiency. Proactively identify opportunities for optimization and implement solutions to enhance network performance, reliability, and security. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Minimum of 8 years of experience in network engineering, with at least 2 years focusing on AI Ops or ML applications. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI Ops platforms (e.g., Moogsoft, Dynatrace, Splunk ITSI). Expertise in network automation tools and frameworks like Ansible, Terraform, Puppet, or Chef. Strong understanding of network engineering principles, including routing, switching, firewalls, and load balancers. Advanced scripting skills in Python, PowerShell, or Bash. Relevant certifications such as AWS Certified Machine Learning, CCNP, or equivalent. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Bachelor’s degree in Computer Science, Data Science, Network Engineering, or a related field. Master’s degree preferred. Experience in the pharmaceutical industry, with knowledge of its technological trends. Proven ability to deliver large-scale operational programs. Familiarity with agile delivery methodologies and the DevOps operational model. Passionate about enhancing the customer experience through AI/ML innovations. Network and Observability Tools SolarWinds Zscaler ZDX Elastic Myst Monitoring Tools Root Cause Analysis (RCA) Self-Healing Networks Certifications AWS Certified Machine Learning CCNP (Cisco Certified Network Professional) CCIE (Cisco Certified Internetwork Expert) DevOps Certifications GCP Professional Machine Learning Engineer Microsoft Certified: Azure AI Engineer Associate Closing Date for Applications: Thursday 23rd January 2025 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process. #LI-GSK Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. 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