AI Ops & ML Engineer

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centred on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.

Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

AI Ops & ML Engineer

GSK is looking for a skilled and forward thinking AI Ops & ML Engineer to join our Connectivity NetDevOps & AI team. This role plays a pivotal part in transforming the way GSK manages its global network infrastructure, embedding intelligence, automation, and predictive analytics into our operations.

We're seeking someone with a passion for data science, observability, and applied machine learning. This position focuses less on traditional network engineering and more on how data driven solutions can improve reliability, reduce incident response time, and automate complex network tasks.

Responsibilities

• Develop, deploy, and maintain AI and ML models to support business needs.
• Collaborate with data scientists, engineers, and stakeholders to understand requirements and deliver solutions.
• Optimize machine learning pipelines for scalability, reliability, and performance.
• Monitor and improve the performance of deployed models and systems.
• Stay updated on emerging AI and ML technologies and apply them to solve challenges.
• Ensure compliance with data privacy and security standards in all solutions.

Basic Qualification

• Bachelor's degree in computer science, engineering, mathematics, or a related field.
• Strong Python skills and fluency in ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost).
• Experience with time series data, anomaly detection, or predictive analytics.
• Exposure to observability platforms (e.g. Elastic, Splunk, ZDX, Moogsoft) or telemetry processing systems.
• Ability to turn complex data into actionable insights and automation logic.
• Experience with AI Ops or self healing platforms in enterprise environments.

Preferred Qualification

• Understanding of infrastructure logs, syslogs, SNMP, or NetFlow data.
• Hands on experience with AWS SageMaker, Azure ML, or GCP Vertex AI.
• Familiarity with CI/CD, GitOps, or infrastructure as code.
• Bachelor's or Master's in Data Science, Computer Science, Engineering, or a related discipline.

Tech Stack You May Use

• ML & Data Science: TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy
• Data Pipelines: Kafka, Logstash, Fluentd, ELK Stack, SQL/NoSQL
• Automation: Python, Git, Terraform, Ansible, Itential
• Observability: Elastic, Zscaler ZDX, SolarWinds, Dynatrace, Moogsoft
• Cloud: AWS, Azure, GCP

This role is based in the United Kingdom and offers a hybrid working model. If you're ready to make a difference and grow your career, we encourage you to apply today!

Closing date for applications: 20th November 2025

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines.

People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.

To learn more about the UK Recruitment FAQ guide, please click the link and scroll to the Careers Section where you will find answers to multiple questions we receive.