I

IQVIA

Runs drug trials and sells health data to pharma

Senior AI Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Experience building, operating, or supporting large-scale artificial intelligence, machine learning, cloud, or distributed systems platforms.
  • Strong understanding of cloud infrastructure, containerized environments, and modern platform engineering practices.
  • Experience working with machine learning workloads and the infrastructure that supports model training and deployment.
  • Knowledge of Amazon Web Services and infrastructure automation technologies.
  • Experience with Kubernetes, Slurm, Ray, or similar orchestration and distributed compute technologies.
  • Hands-on experience with Python and modern software engineering practices.
  • Ability to troubleshoot performance bottlenecks and improve the efficiency of complex workloads.

Responsibilities

  • Design, build, and support the artificial intelligence platform infrastructure that underpins large-scale machine learning and large language model initiatives.
  • Collaborate with artificial intelligence research teams to understand technical requirements and translate them into scalable infrastructure solutions.
  • Develop and optimize cloud and on-premises compute environments, including graphics processing unit-enabled platforms.
  • Improve the performance, reliability, and scalability of model training and inference workloads.
  • Help establish best practices for model lifecycle management, reproducibility, dataset versioning, and governance.
  • Contribute to the development and evolution of platform services that support artificial intelligence experimentation and production deployment.
  • Work with infrastructure, data engineering, and MLOps teams to improve automation, monitoring, and operational excellence.
  • Evaluate and implement new technologies that enhance platform capabilities and developer productivity.
  • Support the adoption of modern artificial intelligence infrastructure tooling and engineering standards across the organization.

Desired Qualifications

  • Experience with large language models and generative artificial intelligence platforms.
  • Experience with graphics processing unit infrastructure and optimization.
  • Experience with PyTorch and distributed training frameworks.
  • Experience with large language model inference technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, or similar tools.
  • Experience with model optimization techniques including quantization, LoRA, mixed precision training, and inference optimization.
  • Knowledge of knowledge graphs and large-scale data platforms.
  • Knowledge of high-performance computing environments.

About the Company

IQVIA

Runs drug trials and sells health data to pharma

IQVIA runs clinical trials for drug, biotech and medical device companies and sells them the health data, software and analytics they use to develop and market treatments. Its research arm designs studies, recruits trial sites and patients, and manages trials through to regulatory filing. Its commercial arm sells market data, consulting and software that pharma sales and marketing teams use to plan product launches. Clients pay through multi-year service contracts and data and software subscriptions. IQVIA was formed in 2016 when clinical research firm Quintiles merged with health data company IMS Health, and it is based in Durham, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Durham, NC
Founded
1998

Recently Posted Jobs

Explore more opportunities at IQVIA

See more jobs