Software Engineer, GSK
£60.6-82k
Annual bonus based on company performance
2-5 days a week in office (The Stanley Building, 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
Annual bonus based on company performance
2-5 days a week in office (The Stanley Building, 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
- Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry
- Candidates should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms to large user populations
- Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory
- Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience
- Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure
- Strong skills in Python
- Unit testing experience (e.g. pytest)
- Knowledge of agile practices and able to perform in agile software development environments
- Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) – should be able to show practice of commit early and deploy often
Desirable
- Demonstrated experience of Python backend development (e.g. using FastAPI)
- Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience
- Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches
- Experience with Docker or containerized applications, especially architecture of multi-container applications
- Technical leadership and experience leading development projects and/or teams is preferred. Huge bonus points for experience leading large software projects involving multiple cross-functional teams/stakeholders
- Experience upholding software/production best practices, as well as mentorship/coaching is strongly preferred. A willingness and demonstrated ability in these domains are sufficient
- Some experience with frontend software development (e.g. React, Vue)
What the job involves
- The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration
- Back end development for a Python web application
- Integration of AI/ML components with frontend, data and compute infrastructure
- Responsible for high quality software implementations according to best practices, including automated test suites and documentation
- Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
- Participate in code reviews, continuously improving personal standards as well as the wider team and product
- Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data products
Application process
- Closing Date for Applications: Tuesday 12th November 2024 (COB)
- 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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