# Analyst, AI ML & Cloud Security

**Company**: GSK
**Location**: London
**Work arrangement**: hybrid
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Analyst--AI-ML-and-Cloud-Security_450144-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_3cc55b77-629

## Description

At GSK, we unite science, technology and talent to get ahead of disease together. We are a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together.

**Job Purpose:** Support AI engineering delivery on the platform and data fabric workstreams. You configure AI platform environments, document data fabric build outputs, maintain CI/CD pipeline documentation, and develop the automation that keeps the builds moving and surfaces failures before they affect delivery.

**About the team** : AI ML and Cloud Security is the function through which GSK is transforming security itself. The team designs and builds the agentic framework, a multi-agent platform moving security services across the Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that CAS designs, builds and tests before a managed service vendor operates it.

**Key Responsibilities:**

- Configure and maintain AI platform environments for development and test.

- Document data fabric build outputs and keep the build registry accurate.

- Maintain CI/CD pipeline documentation to the standard the vendor needs to operate the fabric once it transfers.

- Develop automation scripts for pipeline health monitoring so failures surface before they affect delivery.

- Build and execute test cases for platform and data fabric builds.

- Maintain build records so the platform estate stays traceable and auditable.

- Work to the architecture specifications provided and raise gaps rather than filling them informally.

- Support senior engineers across the platform and data fabric workstreams.

- Raise defects and blockers early with enough detail to be actionable.

- Build subject matter depth in AI platform engineering and data pipeline delivery.

**Basic Qualifications:**

- Experienced in AI, platform or software engineering with a relevant technical degree , domain focus: AI Engineering (AI platform and data fabric workstreams)

- Configuring AI platform environments and supporting LLM, agent and RAG pipeline builds , environment setup, embedding and vector index jobs, and evaluation runs

- Building and running test cases for AI components , prompt-injection, output-validation and regression tests for non-deterministic behaviour

- Python automation for AI pipeline health , data quality, ingestion failures, model and API latency, token usage and cost , with automated alerting

- Documenting data fabric builds and CI/CD pipelines to vendor-handover standard and maintaining build records, working to architecture specifications and raising gaps rather than filling them informally.

**Preferred Qualifications:**

- You have debugged a failing vector index rebuild and can explain what you changed.

- Azure or GCP fundamentals certification (AZ-900, AI-900 or equivalent)

- Working knowledge of prompt-injection test patterns from the OWASP Top 10 for LLM Applications, enough to extend an existing test suite.

- Terraform and Helm for environment provisioning, with enough Git discipline to work in a shared repository.

- Exposure to MLOps tooling , MLflow, model registries or CI/CD for model deployment.

**Benefits:** The company offers a hybrid working model, with 2/3 days a week onsite at their central London HQ.

## Skills

### Required
- AI for Cybersecurity
- AI Platforms
- Application Security
- CI/CD
- Cloud Security
- Computer Programming
- Data Security
- Google Cloud Platform (GCP)
- Identity Access Management (IAM)
- Information Systems
- Infrastructure Security
- Kubernetes
- Microsoft Azure
- ML Security
- Operating Systems Security
- PHP (Scripting Language)
- Scripting
- Security Engineering
- Security Technologies
- Security Testing
- Vector Databases
- Vulnerability Management

### Nice to have
- Azure or GCP fundamentals certification
- OWASP Top 10 for LLM Applications
- Terraform
- Helm
- MLOps tooling
- MLflow
- model registries
- CI/CD for model deployment

---

Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/UK--London--New-Oxford-Street/Analyst--AI-ML-and-Cloud-Security_450144-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)