Machine Learning Expert
3 days ago
About Oxford Nanopore Technologies
">Oxford Nanopore Technologies is a leading biotechnology company headquartered at the Oxford Science Park in the UK, with satellite offices and a commercial presence in multiple global locations across the US, APAC, and Europe.
">Job Opportunity
">We are seeking a talented Machine Learning Intern to join our team of experienced researchers and engineers in Oxford, UK. The successful candidate will work on various projects contributing to improving sequencing accuracy, speed, and efficiency.
">Key Responsibilities
">- ">
- Assist in designing, developing, and testing machine learning algorithms for signal processing, basecalling, or data analysis.">
- Work with large datasets, including pre-processing, labeling, and structuring for model training and evaluation.">
- Collaborate with team members to implement efficient and scalable ML solutions, optimizing for high-throughput genomic sequencing.">
Requirements
">To be successful in this role, you should have a strong foundation in machine learning and deep learning fundamentals, including hands-on experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in Python and familiarity with libraries like NumPy, Pandas, and scikit-learn are also essential. Experience with data manipulation and processing for machine learning purposes is highly valued.
">Eligibility and Benefits
">Suitable candidates will be available to accept a minimum 3-month placement, commencing from spring/summer 2025. Full-time hours are required for the duration of the placement, and the intern must be present in our Oxford HQ, located on the Oxford Science Park. Compensation and networking opportunities within the industry are provided.
">Estimated Salary: £20,000 - £25,000 per annum
">If you're passionate about applying machine learning to real-world scientific challenges and want to contribute to impactful, life-changing technology, we would love to hear from you.
">Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability, or sexual orientation.
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