Staff NLP Data Engineer and Team Lead, GSK
£96-129k
+ Annual bonus based on company performance
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
Job no longer available
£96-129k
+ Annual bonus based on company performance
2-5 days a week in office
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
- Bachelor’s degree in Data Engineering, Computer Science, Software Engineering or related field
- 8+ years of Data Engineering experience
- Experience in Natural Language Processing algorithms and deep learning methods
- Experience with building end-to-end systems based on machine learning or deep learning methods
- Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes)
Desirable
- Demonstratable experience overcoming high volume, high compute challenges
- Familiarity with orchestrating tooling
- Experience in automated testing and design
- Experience with DevOps-forward ways of working
- Nice to have good understanding of ontologies and semantic harmonization of data across sources
- Deep knowledge and use of at least one common programming language: e.g., Python, Scala, Java
- Deep experience with common big data tools (e.g., Spark, Kafka, Storm, …)
- Proven experience with machine learning algorithms and NLP frameworks like Pytorch, Tensorflow, Spacy, etc
- Proven track record of working with knowledge graphs and graph databases, and in general good understanding of database concepts
- Proficiency in semantic web technologies (SPARQL, RDF, OWL) and harmonization of data
- Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps)
- Experience with agile software development environments using tools like Jira and Confluence
- Experience with Infrastructure as a Code and automation tools (i.e. Terraform)
What the job involves
- The Onyx Research Data Tech organization is GSK’s Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale
- Data Engineering is responsible for the design, delivery, support, and maintenance of industrialized automated end to end data services and pipelines
- They apply standardized data models and mapping to ensure data is accessible for end users in end-to-end user tools through use of APIs
- They define and embed best practices and ensure compliance with Quality Management practices and alignment to automated data governance
- They also acquire and process internal and external, structure and unstructured data in line with Product requirements
- This role is responsible for building and leading a scrum team of world-class NLP data engineers focused on building automated, scalable, and sustainable pipelines to account for evolving scientific needs
- They support the head of Data Engineering in building a strong culture of accountability and ownership in their team, as well as instilling best-in-class engineering practices (e.g., testing, code reviews, DevOps-forward ways of working)
- They work in close partnership with our Platforms teams to ensure we have the right tools and ways of working, and with our Bioinformatics teams to ensure the use of appropriate schemas, vocabularies, and ontologies
- Lead a team of NLP data engineers in delivering data and knowledge products that advance GSK R&D
- Architect the data delivery and operational strategy for the NLP data engineering team; Deconstruct a complex and ambiguous data or knowledge request into a detailed strategy to make decision, anticipates future issues, and drive engineering efficiencies
- Partner with AIML and knowledge graph platform team to build, test, and deploy NLP pipelines, systems and solutions
- Partner closely with other data engineering leads to conceptualize the design of new data flows aimed at maximizing reuse and aligning with an event-driven microservice enable architecture
- Partner with other data engineering leads to architect an engagement model and optimal ways of working with the product management teams
- Apply graph-based data modelling techniques for efficient organization, integration, and data retrieval to ensure system flexibility and maintainability
- Design innovative strategies beyond the current enterprise way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve
- Create standards for proper ways of working and engineering discipline, including the QMS framework and CI/CD best practices and proactively spearhead improvement within their engineering area
- Exemplar leader in their field of technical knowledge, keen on bettering their understanding and acting as the knowledge holder for the organization
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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