AI/ML Engineer (Healthcare)

TL;DR

AI/ML Engineer (Healthcare): Developing a forecasting solution for a large healthcare network to predict clinic usage and staffing needs with an accent on time-series modeling and resource allocation. Focus on designing, training, and deploying scalable ML models using Prophet, ARIMA, and LSTM to improve operational efficiency.

Location: Remote (Europe)

Company

hirify.global connects top talent with high-growth companies, currently recruiting for a UK-based client in the healthcare and pharmacy domain.

What you will do

• Design, train, and deploy ML models for time-series forecasting and related data tasks.
• Build and maintain data pipelines using cloud-native tools such as AWS, GCP, or Azure.
• Develop and optimize forecasting models using Prophet, ARIMA, LSTM, and TimeGPT.
• Collaborate with data, product, and cloud engineers to deliver reliable and scalable solutions.
• Participate in the full project lifecycle from discovery and PoC to production deployment and stakeholder presentation.

Requirements

• 4+ years of experience in Machine Learning and Data Science.
• Proven expertise in forecasting and time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost).
• Strong Python skills, including Pandas, NumPy, scikit-learn, and PyTorch.
• Experience with model deployment and production ML systems.
• Familiarity with cloud environments (Azure, AWS, or GCP), Git, and SQL.
• Advanced English level (C1) required.
• Must be based in Europe.

Nice to have

• Experience with Generative AI, LLMs, and RAG pipelines.
• Experience with vector databases such as Weaviate or Milvus.
• Familiarity with LLM evaluation frameworks like DeepEval.

Culture & Benefits

• Opportunity to work on high-impact projects within the healthcare and pharmacy sector.
• Flexible start date with the possibility of a part-time start.
• Environment promoting a strong sense of ownership, accountability, and independence.
• Collaborative culture focusing on strategic thinking and business impact.

Hiring process

• Interview with GT Recruiter.
• Technical interview.
• Final interview.