Software Engineer, GSK
Computational Pathology
£60.6-82k
2-5 days a week in office (Kings Cross, London)
Building a cutting-edge digital and tech team.
Job no longer available
Building a cutting-edge digital and tech team.
1001+ employees
Job no longer available
£60.6-82k
2-5 days a week in office (Kings Cross, London)
1001+ employees
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.
Role
Who you are
- A degree in a quantitative or engineering discipline (e.g., computer science, engineering, among others)
- 3+ years of work experience as a professional software engineer for AI/ML products
- Advanced programming expertise in Python and in developing and delivering robust software solutions, including code testing
- Experience with MLOps and DevOps best practices (e.g. continuous integration (CI) and continuous deployment (CD), containerization, shell scripting etc)
- Experience in deploying AI/ML solutions with cloud computing Platforms, such as Google Cloud Platform or Azure and engineering AI/ML pipelines to optimise cloud resources (GPUs, CPUs)
- Advanced expertise of modern software development tools and practices (agile frameworks)
- Experience in working with large-size images at scale, e.g. histopathology images and their format, and/or biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images, histopathology images)
Desirable
- Exposure with at least one major deep learning framework (PyTorch preferred)
- Understanding of GPUs architectures and CUDA programming
- Experience in design and development of AI/ML software, scalable training, and deployment of AI/ML models
- Experience with software systems design
What the job involves
- We're looking for a Software Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record of shipping robust deep learning and computer vision products with production best practices
- In particular, the team is working on developing cutting-edge solutions for Computational Pathology, hence previous experience with production-level AI/ML for medical imaging will be an added value
- The team you will be working with has a diverse background, ranging from highly experienced machine learning engineers, professional software engineers to board certified medical doctors
- Deliver robust, fully tested, and performant code for our imaging-based AI/ML pipelines (computational pathology) that can be deployed in production at scale in the cloud environment, including maintenance and integration with solutions provided by the platform engineers
- Be fully integrated with AI/ML engineers to lead, design, and implement well decoupled, modularized, reusable, and scalable deep learning training and inference pipelines
- Be accountable for best software engineering, MLOps and DevOps practices, and coach AI/ML engineers
- Develop, maintain and scale data pipelines for the agile ingestion, retrieval and processing of large-scale histopathology images into the AI/ML pipeline (i.e. each one with order of magnitude of gigabytes)
Application process
- Closing Date for Applications: Wednesday 2nd October 2024 (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
Salary benchmarks
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
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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