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  • Python Developer
    Permanent

    55,000 GBP Annually

    Python Developer with Machine Learning
    Python / Machine Learning / Life Sciences
    Salary: £35k - £50k
    Location: Cambridge
     
    With their client base covering major pharmaceutical companies, this AI Company are focussed in the domain of Healthcare and Life Science. They have created an innovative platform to transform content into connected data for the likes of Business Intelligence and Machine Learning.
     
    Responsibilities

    • Support the Ontology curation team to update and build new Named Entity
    • Recognition (NER) vocabularies and ontologies by developing scripts and workflows.
    • Develop pipeline to help automate vocabulary updates.
    • Develop Python scripts to improve curation productivity, and work with software developers to turn these into plugins for other tools.
    • R&D with Machine Learning experts to incorporate their tools into curation workflows.
     
    Qualifications
    • BSc/MSc/PhD life sciences or related subject
    • Proficient at Python
    • UNIX/command line, GitHub
    • Excellent teamwork skills
    • Machine Learning
    • Natural Language Processing modules e.g. Python NLTK
    • Experience working in production environment
    • MySQL, Java
     
    Benefits
    • Bonus
    • Share eligibility
    • 25 days holiday
    • AXA PPP Healthcare
    • Pension (7%)
    • Onsite Gym
    • Perkbox account
    • Flexible working environment
    • Very relaxed and modern feel to the office
     
     
    Key words: Machine Learning / Python / Tensorflow / Pytorch / Scikit-Learn
     
    If this sounds like you and you would like to apply for this unique Machine Learning opportunity please send an up-to-date CV via the relevant link 
     
    Empiric focus solely on finding roles for the best engineers, developers, researchers and Data candidates in the Cambridge area.
     
    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
     
     
     
     
     
     
     
     
     

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