ECS Resource Group
We are recruiting on behalf of our clients, leading global healthcare organisation, who, at the forefront of digital health innovation, is seeking an experienced ML Engineer to join their AI and Data Science Team. They are pioneering next-generation natural language health information products and applications, leveraging cutting-edge AI, machine learning, and natural language understanding (NLU) to make healthcare smarter, safer, and more human‑centered.
This is a rare opportunity to work alongside world‑class researchers, engineers, and clinicians on technologies that improve patient outcomes and empower healthcare professionals globally.
Impact You’ll Make in this Role
Collaborating cross‑functionally with domain experts, data scientists, and stakeholders to translate business requirements to technical requirements
Implementing automated pipelines for data processing and the training, evaluation and deployment of deep learning or LLM models including Agentic AI
Designing scalable infrastructure for model training and inference, both in the cloud and on‑premises
Setting up monitoring to enable the implementation of proactive countermeasures for model degradation
Enabling data privacy and compliance with healthcare regulations such as GDPR and HIPAA during model development and deployment
Your Skills and Expertise
Master's degree or PhD in computer science, mathematics or related fields or Bachelor’s degree with at least 5 years of experience
Experience creating engineering solutions that support an AI / ML model’s lifecycle including data ingestion, training, evaluation, and deployment
Familiarity with a cloud provider, preferably AWS
Proficiency in large‑scale data processing technologies, such as Hadoop and Spark
Hands‑on experience with scalable model deployment, e.g., using Docker and Kubernetes
Capability of providing maintainable and reusable code including source control with Git, unit and integration testing and a solid knowledge of CI/CD concepts
Additional qualifications that could help you succeed even further in this role include
Solid understanding of Machine Learning methods
Familiarity with the integration of LLMs and Agentic AI into real‑world software solutions, for example via MCP. Demonstrated ability of working in interdisciplinary environments
Seniority level Associate
Employment type Full‑time
Job function Information Technology and Engineering
Industries Manufacturing, Technology, Information and Media, and Hospitals and Health Care
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This is a rare opportunity to work alongside world‑class researchers, engineers, and clinicians on technologies that improve patient outcomes and empower healthcare professionals globally.
Impact You’ll Make in this Role
Collaborating cross‑functionally with domain experts, data scientists, and stakeholders to translate business requirements to technical requirements
Implementing automated pipelines for data processing and the training, evaluation and deployment of deep learning or LLM models including Agentic AI
Designing scalable infrastructure for model training and inference, both in the cloud and on‑premises
Setting up monitoring to enable the implementation of proactive countermeasures for model degradation
Enabling data privacy and compliance with healthcare regulations such as GDPR and HIPAA during model development and deployment
Your Skills and Expertise
Master's degree or PhD in computer science, mathematics or related fields or Bachelor’s degree with at least 5 years of experience
Experience creating engineering solutions that support an AI / ML model’s lifecycle including data ingestion, training, evaluation, and deployment
Familiarity with a cloud provider, preferably AWS
Proficiency in large‑scale data processing technologies, such as Hadoop and Spark
Hands‑on experience with scalable model deployment, e.g., using Docker and Kubernetes
Capability of providing maintainable and reusable code including source control with Git, unit and integration testing and a solid knowledge of CI/CD concepts
Additional qualifications that could help you succeed even further in this role include
Solid understanding of Machine Learning methods
Familiarity with the integration of LLMs and Agentic AI into real‑world software solutions, for example via MCP. Demonstrated ability of working in interdisciplinary environments
Seniority level Associate
Employment type Full‑time
Job function Information Technology and Engineering
Industries Manufacturing, Technology, Information and Media, and Hospitals and Health Care
#J-18808-Ljbffr