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- Tasks: Design and implement AI solutions that transform healthcare and life sciences.
- Company: Leading company in Healthcare and Life Sciences with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by developing cutting-edge AI technologies.
- Qualifications: 3-5 years in machine learning engineering and expertise in Python and ML frameworks.
- Other info: Fast-paced environment with opportunities to work autonomously and grow your career.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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, and automated retraining.
- Collaborate with product management and scientific teams to identify high‑impact opportunities and translate scientific requirements into technical solutions.
- 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.
- 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).
- Demonstrated ability to work autonomously and manage 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.
- 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.
AI Engineer in Plymouth employer: DeWinter Group
Contact Detail:
DeWinter Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and AI sectors. Attend meetups, webinars, or conferences where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to healthcare. Share your GitHub or any relevant work during interviews to demonstrate your hands-on experience and expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that AI Engineer role!
We think you need these skills to ace AI Engineer in Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with machine learning, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your background makes you a perfect fit for this role. Let us know what excites you about the opportunity!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's building AI agents or deploying models, we love to see practical examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website: Don't forget to apply through our website! It's the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at DeWinter Group
✨Know Your AI Stuff
Make sure you brush up on your machine learning and AI knowledge. Be ready to discuss your experience with Python, TensorFlow, and PyTorch, as well as any large models you've worked on. They’ll want to see that you’re not just familiar with the tech but that you can talk about it confidently.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you designed and implemented AI solutions. Being able to articulate your thought process will show them you can hit the ground running.
✨Understand the Healthcare Context
Since this role is in healthcare and life sciences, do some homework on the industry. Familiarise yourself with regulatory compliance requirements and how AI is being used in biotech. This will help you connect your technical skills to their specific needs.
✨Practice Clear Communication
You’ll need to communicate effectively with both technical and non-technical teams. Practice explaining your past projects in simple terms. This will demonstrate your ability to bridge the gap between science and technology, which is crucial for this role.
