Senior AI / Machine Learning Platform Engineer, GSK

$145.9-197.4k

+ Annual bonus

AWS

Docker

Kubernetes

GCP

Python

Airflow

Tensorflow

Terraform

Ansible

Azure

Kubeflow

PyTorch

Mid and Senior level

Boston

San Francisco Bay Area

2-5 days a week in office

Building a cutting-edge digital and tech team.

Job no longer available

Building a cutting-edge digital and tech team.

1001+ employees

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

Job no longer available

$145.9-197.4k

+ Annual bonus

AWS

Docker

Kubernetes

GCP

Python

Airflow

Tensorflow

Terraform

Ansible

Azure

Kubeflow

PyTorch

Mid and Senior level

Boston

San Francisco Bay Area

2-5 days a week in office

1001+ employees

HealthcareArtificial IntelligenceBig dataMachine LearningCyber SecurityData IntegrationDevOpsCloud ComputingBiotechnology MedTech

Company mission

At GSK, we use technology to deliver what matters most, better and faster. Whether it’s life-saving medicines or life-enhancing products, Tech at GSK helps scale and accelerate our expertise.

Job

Company

Role

Who you are

Bachelors or Masters in Computer Science or a related technical field, or equivalent experience
4+ years of industry and/or academic experience in software engineering
Experience in Python and deploying APIs and packages
Experience with Cloud Computing, Distributed Systems, and CI/CD
Experience with Docker, Kubernetes, and the larger CNCF ecosystem
Agile and distributed decision-making – using evidence and applying judgement to balance pace, rigour and risk
Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution
Implementing change initiatives and leading change
Sustaining energy and well-being, building resilience in teams
Continuously looking for opportunities to learn, build skills and share learning both internally and externally
Developing people and building a talent pipeline
Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation
Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally
Budgeting and forecasting, commercial and financial acumen

Desirable

Familiarity with ML frameworks such as PyTorch, TensorFlow, or Sci-kit Learn
Experience in the AI/ML and Big Data space
Experience working in a highly regulated industry such as Healthcare
Experience in workflow orchestration with tools such as Argo Workflow, Kubeflow, Airflow, etc
Experience with Cloud CI/CD infrastructure and tools such as Azure DevOps and CloudBuild
Experience with Infrastructure as Code tools such as Terraform, Ansible, and Packer
Knowledge of the wider CNCF ecosystem around build, deployment, orchestration, and monitoring
Familiarity with more than one cloud computing environment (AWS, Azure, GCP)
Familiarity with Event-Driven APIs

What the job involves

We're looking for a highly skilled Senior AI/ML Platform Engineer to help us make this vision a reality
Our AI/ML Platform Engineering team is building a first-in-class platform of tools and services covering ML Ops/DevOps across Cloud and High-Performance Computing. Our goal is to decrease development time and raise the quality bar on engineering across AI/ML teams and products
The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration
Design, develop, test, document and maintain platform services, tools, and infrastructure
Continuously scale and enhance operational efficiencies around platform’s CI/CD capabilities
Work closely with engineers, researchers, and other science domain experts on productionizing AI/ML models and pipelines
Drive and maintain development standards and processes across the team and wider organization
Mentor and stay up to date on the latest leading technologies in the AI/ML software ecosystem

Our take

GSK Tech is set to build a suite of next-generation platforms for data- and prediction-driven drug discovery in support of GSK's Research and AI/ML organizations, and an industry-leading data engineering function in support of AI/ML and Genomic Sciences.

GSK’s ambitions go far past the data lake: they’re building a comprehensive data and machine learning ecosystem that can speak to the customers in their own scientific and technical language and semantics. Enabled by GSK Knowledge Graph, powered by machine learning, and underpinned by natural language processing, GSK's vision is for accessibility to data (and, importantly, the knowledge it represents). GSK wants to increase this tenfold, taking mere moments to find, access, and integrate the right information.

The creation of GSK Tech shows GSK's commitment to making a major investment in changing how we think about data in the research space, and levelling up the data experience for GSK's researchers, scientists, computational scientists, AI/ML Engineers, and ultimately decision-makers. As of 2024, GSK is putting more energy into its Cyber Security features, thus widening its market reach.

Steph

Company Specialist at Welcome to the Jungle

Insights

45% female employees

6% employee growth in 12 months

Glassdoor (4.1)

Company

Company benefits

An annual bonus based on company performance
Access to healthcare and wellbeing programmes, pension plan membership, savings programmes, time off and childcare support
Employee recognition programmes which reward exceptional achievements
Long term incentives through share ownership link your rewards to our longer term performance
Coaching, mentoring and formal training programmes
Plenty of opportunities for open conversations with people who can help to shape your career
A range of health and wellbeing programmes and support services to help employees understand how to feel healthier, happier and more energised at work and at home

Company HQ

Brentford, UK

Leadership

Luke Miels

(CEO)

Luke became CEO on Jan 1, 2026, after serving as CEO designate since Sept 2025. He joined GSK in 2017 as Chief Commercial Officer, responsible for our commercial portfolio of medicines and vaccines.

Shobie Ramakrishnan

(Chief Digital and Technology Officer)

Has a broad experience in biotech and hi-tech companies. Has led Digital and Technology for GSK’s Global Commercial organisation, transforming the company’s capabilities in digital, data & analytics.

Michael Elmore

(SVP & Global Chief Information Security Officer)

Experienced in building and leading tech teams across cyber security, IT infrastructure, application development, and more. A trusted advisor to VCs and startups focusing on cybersecurity advancements.

Shubha Chaudhari

(SVP, Development Digital & Tech)

Previously worked at Novartis in several roles, including Head of Clinical Informatics, Global Head of Development Informatics, and Head of Digital Transformation.

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