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AI/ML Project Lead
2 months ago
Henderson Brown is a dynamic, AI-driven technology company that's changing the game in healthcare and manufacturing. We're seeking an experienced AI/ML Project Lead to join our rapidly expanding team.
As a key member of our team, you'll be instrumental in leading AI/ML projects related to video-based workflow optimisation and supply chain tracking, with a focus on healthcare and manufacturing use cases.
Key Responsibilities:- Work closely with our CTO and COO to install and implement AI-driven vision systems for hospitals and manufacturing companies.
- Lead the team in annotating videos, programming AI models, and crunching data to present actionable insights.
- Oversee projects such as tracking medical devices through supply chains, optimising operating room changeover times, and performing quality control on production lines.
- Provide strategic leadership for the deployment of these systems, ensuring they meet the needs of our end users, such as healthcare professionals and manufacturers.
- Strong coding skills, particularly in machine learning, computer vision, and video analysis.
- Experience in AI/ML model development and data-heavy projects.
- PhD with a Computer Science, AI/ML focus.
- Proficiency in AI/ML programming languages such as Python, TensorFlow, or PyTorch.
- Experience with computer vision and video annotation techniques.
- Solid knowledge of data science, data analytics, and workflow optimisation.
- A background in AI/ML use cases in healthcare or manufacturing would be advantageous.
- Competitive salary: £70,000 - £85,000, depending on experience and skills.
- Bonus scheme.
- 25 days annual leave + 8 bank holidays.
- Flexible working.
- Development opportunities.
This is an exciting opportunity to be at the forefront of AI/ML innovation, working on groundbreaking projects in both healthcare and manufacturing. With significant growth potential, share incentives, and the flexibility to work remotely, this is an ideal position for a candidate looking to make a real-world impact by optimising critical processes in medical and industrial environments.
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