Applied AI Engineer

• Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co-design prototypes and proof-of-concepts (PoCs) with product and domain teams to validate ideas quickly and de-risk larger investments.
• Translate complex stakeholder requirements into well-scoped technical solutions with clear success criteria and handover plans.

• Build, train, evaluate, and iterate on ML models for real-world scientific and business problems—including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling.
• Package trained models into production-ready services (APIs, containerized deployments) using GSK’s cloud infrastructure (GCP/AWS/Azure).
• Develop and maintain agentic AI systems, multi-agent architectures, and LLM-based tools where appropriate.
• Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks.
• Embed privacy, ethics, and regulatory considerations into every engagement from the outset.

• Run workshops, seminars, and hands-on training sessions to increase AI literacy across the organization.
• Embed within business/research units for time-limited engagements (typically 6–8 weeks) to accelerate delivery and transfer skills.
• Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads.

• Bachelor’s degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer.
• 2+ years of professional experience developing and deploying machine learning models (with a Bachelor’s); 2+ years with a Master’s or PhD.
• Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit-learn, pandas, numpy).
• Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).
• Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking.
• Experience working in cross-functional teams and communicating technical concepts to non-technical stakeholders.
• Experience working in healthcare, pharma, or biological domains.

• Experience in pharma, biotech, or life sciences—particularly in drug discovery, genomics, clinical data, or biological data analysis.
• Hands-on experience building LLM-based applications, agentic AI systems, RAG pipelines, or multi-agent architectures (e.g., LangChain, LangGraph, AutoGen).
• Experience with knowledge graph construction, causal inference, or large perturbation models.
• Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high-dimensional biological datasets.
• Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows.
• Contributions to open-source ML/AI projects or peer-reviewed publications in applied ML.
• Background or demonstrated interest in responsible AI, AI ethics, or model governance.
• Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation.
• Experience evaluating and integrating third-party AI/ML vendor tools and platforms.

#LI-GSK #GSKAIML

Artificial Intelligence (AI), Artificial Intelligence Ethics, Artificial Neural Networks (ANNS), Classification Models, Deep Learning, Intelligent Automation (IA), Machine Learning (ML), Model Evaluation, Model Validation, Predictive Modeling, Probabilistic Modeling, Python (Programming Language), Test Documentation

• If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.

Please visit  GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.