Our client, a pioneering BioTech company based in London and Cambridge, is at the forefront of innovative healthcare solutions. Specializing in disease detection for neurological disorders, the company merges cutting-edge machine learning techniques with scientific expertise to achieve early disease detection. They’ve recently finished raising their Series-A funding round and are now in their next phase of growth, where they will ultimately be looking to scale the power/effectiveness of their platform. They are backed by leading Biotech VC firms and have already formed a number of partnerships within the medical & pharmaceutical industries.
We are seeking a dynamic and experienced Machine Learning Engineering Lead to join our client's team. As the leader of a talented group of 5 engineers and data scientists, the successful candidate will play a pivotal role in driving advancements in disease detection through the integration of machine learning and software engineering. It’s a position that will require you to have a focus across cloud architecture and overall machine learning infrastructure.
Lead and mentor a team of 5 engineers and data scientists.
Drive the development of production-grade machine learning software for early disease detection.
Collaborate with cross-functional teams to integrate machine learning models into the company's healthcare platform.
Implement and optimize MLOps processes to ensure seamless deployment and maintenance of machine learning solutions.
Serve as a key technical expert in AWS, leveraging cloud services for efficient and scalable machine learning solutions.
Bridge the gap between machine learning research and software engineering, ensuring the robustness and reliability of deployed models.
Proven leadership experience in managing and mentoring engineering and data science teams.
Expertise in MLOps and deploying machine learning models in a production environment.
Strong software engineering skills, with proficiency in Python and relevant frameworks (e.g., TensorFlow, PyTorch).
In-depth knowledge of AWS services and infrastructure for machine learning applications.
Experience in the healthcare or BioTech industry is a plus.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
The salary banding for this role is between £90,000 - £110,000, with flexibility for the right person. You’ll be afforded lots of career progression and a clear path to managing a large, multi-disciplinary technical team should you so desire this. If you are a seasoned Machine Learning Engineering Lead with a passion for driving advancements in healthcare technology, we invite you to apply for this exciting opportunity. Join our client's team and contribute to the development of solutions that make a meaningful impact on the detection and treatment of neurological disorders.
Machine Learning Engineering Lead
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
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