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 science to generate new insights, enable analytics, gain efficiencies and automation.
Job Description
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 data science, 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, data scientists, other AI/ML engineers, 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.
A total of three Senior AI/ML Engineer positions are available, and we’re looking for demonstrable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems and software development. You should also be versed in agile ways of working, source control and the Azure cloud.
Responsibilities
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
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 Science: Data clustering algorithms, feature engineering
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
Minimum Qualifications and Experience
The post requires a healthy coverage of the following:
Bachelor’s degree in computer science
5+ years of experience working in AI/ML
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. 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.
AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems.
Hands on experience with ML tools like TensorFlow, PyTorch etc.
Some experience with MLOps would be very beneficial.
Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc.
Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not necessary.
Familiarity with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.), though you’ll work with experts to gain this skill as well.
Excellent problem-solving and programming skills in Python
Excellent communication skills
Preferred Qualifications
Master’s or PhD in Computer Science
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.
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