Software Engineer, GSK

AI/ML Services

$130.9-177.1k

+ Annual bonus + Eligibility to participate in our share based long term incentive program which is dependent on the level of the role

Docker

Kubernetes

GCP

Python

Tensorflow

PyTorch

Mid and Senior level

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

$130.9-177.1k

+ Annual bonus + Eligibility to participate in our share based long term incentive program which is dependent on the level of the role

Docker

Kubernetes

GCP

Python

Tensorflow

PyTorch

Mid and Senior level

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

Competitive candidates will have a track record of designing, building and shipping high-quality, well-documented and well-tested software – preferably in the AI/ML industry
Bachelor’s or graduate degree in Computer Science, preferably focused on software engineering, high-performance computing, or machine learning. Candidates not meeting these academic requirements will be considered if demonstrating 8+ years of industry experience in software/machine learning engineering
They should be comfortable with modern, cloud-native computing such as the Docker/Kubernetes/Helm ecosystem, distributed systems, or high-performance computing environments
2+ years of industry experience in software design or architecture
Candidates should have a strong sense of the abstractions needed to represent ML products and workflows and have demonstrated experience in database design, operations, and microservice development
Experience in Python and in deploying APIs/backend services
Strong candidates will have graduate studies in Computer Science, or equivalent demonstrated work experience
Experience developing services and infrastructure on GCP. Similar cloud software development
An educational or professional background in the biological sciences is a plus, but it is not required
Experience working with Docker and Kubernetes, or closely related containerization and cluster computing frameworks

Desirable

Our team is heavily invested in event-based orchestration for multi-tenant use. Software development experience on these platforms, distributed data systems, or similar systems will be strongly preferred
We partner with Platform and Infra teams, and machine learning product teams. Collaboration and a customer-first mindset are critically important; we will prioritize candidates who shine in those areas
Experience in DevOps and machine learning orchestration (using TensorFlow, Pytorch or similar) will have an added advantage
Experience on Search and Ranking, Knowledge Graphs, Feature Stores, or other AI/ML products will be highly preferred
Experience upholding software/production best practices in a larger org is strongly preferred
Preferred candidates will be agile-minded and demonstrate proficiency in iterative software development and prototyping

What the job involves

At GSK, we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning
AI will also play a role in diagnosing and using medicines to enable everyone to do more, feel better, and live longer
This ambitious vision will require developing products at the cutting edge of Machine Learning and AI
We’re seeking a highly skilled software engineer to help us realize this vision
We are building a first-in-class platform with tools and services covering high performance computing, model training and deployment, metrics calculation and metadata instrumentation; our goal is to decrease AI/ML cycle times and raise the quality bar on our shipped services by simplifying platform integration and accelerating R&D end-to-end
The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration

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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