AI Engineer

DeWinter Group; Plymouth; Hybrid; GBP 66,000 - 90,000; Full time

Job summary

A leading company in healthcare solutions is seeking an AI Engineer to develop cutting-edge AI applications that positively impact the healthcare sector. The role demands expertise in machine learning engineering and a strong capability in Python and ML frameworks. The candidate should thrive in fast-paced environments and possess a deep understanding of regulatory compliance in biotech. This position offers a hybrid work structure based in the Southeast Michigan area, requiring the ability to efficiently manage project goals.

Qualifications

• 3-5 years of experience in machine learning engineering with production deployment experience.
• Strong expertise in Python and relevant ML frameworks such as TensorFlow or PyTorch.
• 2+ years of experience in biotech or healthcare domains.

Responsibilities

• Design and implement production-ready AI agents interacting with scientific data.
• Build scalable machine learning infrastructure and implement MLOps practices.
• Ensure AI systems meet regulatory compliance requirements.

Skills

Machine learning engineering

Python

TensorFlow

PyTorch

Hugging Face

Communication skills

Tools

Data engineering tools

Job description

Title: AI Engineer
Job Type: Perm/Full Time
Target Start Date: ASAP
Work Location/Structure: Hybrid, Southeast Michigan area.

About the Opportunity:

Our client, a leader in Healthcare and Life Sciences, is looking for a skilled AI Engineer to join their team for a permanent engagement. This project involves developing and deploying cutting‑edge artificial intelligence solutions that can make a meaningful impact in healthcare and life sciences. This is a high‑impact, hands‑on role that requires a self‑motivated professional who can hit the ground running and deliver results quickly, blending research, engineering, problem‑solving, and collaboration.

Key Responsibilities & Deliverables:

• Design and implement production‑ready AI agents that interact with scientific data, tools, and APIs.
• Build scalable machine learning infrastructure and implement MLOps practices, including model versioning, monitoring Schwangerschaft, and automated retraining.
• Collaborate with product management and scientific teams to identify high‑impact opportunities and translate scientific requirements into technical solutions.
خارج foundation models (language, multimodal, generative) for biological and clinical data.
• Ensure AI systems meet regulatory compliance requirements relevant to biotech and healthcare, aligning with FDA and other regulatory frameworks.

Required Skills & Experience:

• 3‑5 years of experience in machine learning engineering with production deployment experience. sigui
• Deep expertise in Python, relevant ML frameworks (TensorFlow, PyTorch, Hugging Face, or equivalent), and hands‑on experience building or fine‑tuning large models (transformers, diffusion, multimodal). This isn't a learning role—you need to be a subject matter expert.
• Demonstrated ability to work autonomously and manage yours time effectively to meet project goals, with experience in startup or fast‑paced environments.
• Experience with creating AI agents and multi‑agent systems, proficiency in data engineering tools, and practical experience deploying models as services.elastic agents Tee production.
• Strong communication skills to provide clear and concise status updates to the project team and present to both technical and business audiences.
• 2+ years of experience applying AI/ML in biotech, pharmaceutical, or healthcare domains, with familiarity with biological data types and analysis pipelines.