Machine Learning Engineer

We are looking for someone who is ready to help us solve hard and exciting problems as simply and quickly as possible.
You will have the resource and capability to use equipment and/or methods that are unimaginable elsewhere. You will have a substantial sense of urgency around your work, doing whatever it takes to move at a speed commensurate with the time-sensitive nature of plastic pollution and climate change, and importantly, move faster than our competitors. Success at Epoch is building the solution to some of humanity’s greatest challenges, without delay.
You have the opportunity to join a start up at the early stages, work with a passionate group of people, team players with a high-growth mindset and work on some of society’s biggest challenges. We value play, creativity and initiative as much as problem solving, intellectual curiosity and critical thinking. This approach is helping us grow a healthy, sustainable work culture and company. As a Machine Learning Engineer at Epoch you will: Drive the strategy for applying machine learning method to a diverse range of experimental datasets across the Epoch Biodesign R&D activities. Working closely with computational and lab biologists, you will be responsible for requirements gathering, prototyping and development of machine learning methods. Experience in the life sciences would be preferred, but primarily the ability to learn quickly and adapt to changing requirements are more important. You will drive forward activities such as:
Acting as primary contact with computational and lab biologists to understand their machine learning requirements.
Prototyping, developing, and maintaining machine learning methods based on both publicly available and proprietary data.
Reporting results from the developed methods in a clear manner that can be understood by wet- and dry-lab biologists and management.
Training colleagues in the use of any deployed machine learning methods.
Keeping abreast of current machine learning methods and best practices and bringing these into the company. Qualifications and experience A degree in mathematics, computer science, or a similar numerical field
Strong technical background, including skills in Python and related data science libraries, such as NumPy, SciPy, and pandas
Experience in developing machine learning methods using common frameworks such as scikit-learn, PyTorch and Tensorflow
Skills in data engineering, cleaning and pre-processing
Skills in data visualisation, utilising packages such as matplotlib and plotly
Excellent interpersonal skills, with demonstrable evidence of working collaboratively in an interdisciplinary environment
Experience with version control systems such as Git
An understanding of data security issues Further skills would be: Experience in applying machine learning in the biotechnology or life science domain
Experience with large language models (LLMs)
Experience with cloud computing, ideally Google Cloud
Skills in automated testing
Experience in project management Benefits and perks Epoch Biodesign offers a comprehensive benefits program. At the moment this includes:
A generous allowance of 30 days paid holiday (plus the usual 8 bank holidays)
Meaningful EMI Share Options
A non-contributory pension of 9% employer contribution
Flexible working around the core times of 10am to 4pm
Cycle to work scheme
Optional private medical insurance with Vitality
Group Income Protection
Group Critical Illness
The opportunity to be part of building something remarkable
Complementary fresh fruit, coffee, tea and snacks
Onsite gym
And we are always in the process of reviewing and implementing further benefits and on-the-job perks!
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