Lead/Senior Machine Learning Engineer

4 weeks ago

Bristol, United Kingdom Enigma (formerly DS Group) Full time

AI-First Biotech Start-up - working on stem cell differentiation using Live cell microscopy and AI
Would require at-least 1 day/week on-site - Bristol based office.

As the Lead Machine Learning Engineer, you will oversee the development and implementation of computer vision and other machine learning models used to predict cell behavior. Your responsibilities will include collaborating with the Machine Learning Science team to create and deploy these models, as you play a key role in enhancing the machine learning infrastructure. Additionally, you will work closely with the Biology team to integrate microscopy data and protocols for cell differentiation.

5+ years of experience as a Machine Learning Engineer, including experience working in a top tier tech or AI-bio company, with a focus on taking models from concept to production.
~ Proven leadership in technical involvement and guidance of a team of ML and software engineers, including project planning, mentoring, and implementing agile methodology.
~ Experience in supporting/leading MLOps and Data Engineer operations and teams.
~ Strong background in computer vision ML models and using modern frameworks for deploying these models.
~ Proficient in Python, and familiar with deep learning frameworks like PyTorch (required) and Tensorflow.
~ Skilled in using cloud services, containerisation, handling distributed systems, and familiar with continuous integration, unit testing, and code review practices.
~ Experience in architecting and maintaining scalable ML infrastructure, including big data pipelines, large-scale model training/inference, and serving infrastructure, as well as experience implementing best practices for retraining, version control, reproducibility, and automation.
~ Excellent at communicating complex data insights in a clear and actionable way.


Qualities/skills that the company hiring are looking for

The successful candidate will have a background in architecting and maintaining scalable ML infrastructure, including big data pipelines and model training. Excellent communication skills are crucial for conveying complex data insights effectively. Nice-to-have qualifications include experience with DevOps practices, MLOps tools, and a genuine interest in biotechnology or biology.

Join a rapidly growing technology company backed by top-tier venture capital firms, working at the forefront of artificial intelligence and stem cell biology. Enjoy a dynamic, inclusive, and collaborative work culture that emphasizes scientific innovation. Benefit from competitive salary, founding equity compensation, and the opportunity to work in a hybrid setting or at the company's headquarters in Bristol, UK. Participate in bi-annual week-long company off-sites to foster team bonding and collaboration.

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