Machine Learning Engineer

Marylebone High Street
1 month ago
Applications closed

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Contract Machine Learning Engineer, mostly remote

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer / AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis.

The successful Machine Learning Engineer / AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate machine learning models into real-world applications.

Key Responsibilities:

  • Develop AI models for classification, segmentation, and processing of image and audio data.

  • Optimise machine learning models to ensure peak performance.

  • Work closely with software development teams to integrate AI models into applications.

  • Collect, clean, and manipulate data from multiple sources (SQL, Excel, Salesforce, etc.).

  • Contribute to the development and maintenance of the company’s Data Lakehouse and centralised data store.

  • Stay up to date with the latest developments in AI, machine learning, and data engineering.

    We’re looking for a Machine Learning Engineer / AI Engineer with:

  • Strong proficiency in deploying cloud-based machine learning pipelines, particularly on Google Cloud Platform (GCP) and Vertex AI.

  • Extensive experience in Python programming and using Jupyter notebooks.

  • Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML.

  • Strong knowledge of image processing techniques and algorithms.

  • Experience in data wrangling, processing, and technical documentation.

  • The ability to communicate complex technical concepts to non-technical stakeholders.

    If you’re a Machine Learning Engineer / AI Engineer ready to work on innovative AI-driven solutions in a fast-paced MedTech environment, we’d love to hear from you

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