GSK is a global leader in pharmaceuticals and healthcare, with a relentless commitment to advancing healthcare for the betterment of humanity. Our mission is to help people around the world do more, feel better, and live longer. We achieve this by researching, developing, and providing innovative medicines and vaccines. Our dedication to scientific excellence and ethical practices guides everything we do.
R&D at GSK is highly data-driven, and we're applying AI/ML and data engineering to generate new insights, enable analytics, gain efficiencies and automation.
This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification, and has won awards and recognition for its work. The team's future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions. You will interact with architects, software and data engineers, modelers, product owners as well as other team members in Clinical Solutions and R&D. You will actively participate in creating technical solutions, designs, implementations and participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.
We're looking for demonstratable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems, data engineering, and software development. You should also be versed in agile ways of working, source control and the Azure cloud.
In this role you will
You'll have the opportunity to work on a mixture of the following:
Generative AI
Design and develop RAG based applications
LLM fine-tuning, including preparation of training sets from internal data
Agent-based applications
Evaluating use-case specific LLMs
AI/ML Engineering
NLP: Named Entity Recognition across a variety of unstructured data
Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks
Analysing trade-offs between these models and LLMs for NLP tasks
Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG
Document and text Classification
Data Engineering
Designing and implementing data pipelines for model training and inference
Building scalable data processing systems
Optimizing data workflows and storage solutions
Implementing robust ETL processes
Evaluate and integrate new technologies and models
Cross-team collaboration, identifying innovations and architecting solutions
Provide leadership and technical direction to various business units and partners
Why you?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
Bachelor's degree in computer science
Significant experience working in AI/ML and Python
Strong Python programming skills with demonstrated expertise in building production-grade applications
Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa.
AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems
Data Engineering: Experience with data pipeline development, ETL processes, and working with large datasets
Hands on experience with ML tools like TensorFlow, PyTorch etc.
Experience with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.)
Excellent problem-solving skills and software engineering practices
Excellent communication skills
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
Master's or PhD in Computer Science
Generative AI: Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding complex documents and images. Experience in training, evaluating and hosting open source LLMs would be a major benefit.
Some experience with MLOps would be very beneficial
Full-stack development experience
Experience with UI technologies like React would be helpful
Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would be beneficial
Familiarity with containerization technologies (Docker, Kubernetes)
Closing Date for Applications: Friday 13th June 2025 (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.
During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process.
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Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.
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