Computer ScienceData ScienceNatural Language ProcessingNumpyPattern RecognitionPythonScientific ComputingSpeech RecognitionWorkload Prioritization
Senior (5-8 years) -
UK
20455+ employees
Healthcare
Role
Who you are
Build custom machine learning models using ML and NLP technology
Design, implement, and document new ML/NLP modeling techniques
Develop Back-end/server-side software to support AI solution development and serving
Build internal frameworks, libraries, and infrastructure for rapid prototyping and new product delivery
Review and adapt recent research in ML and NLP into prototypes and production solutions
Review and improve the code of other engineers
Develop custom models and AI/NLP solutions to meet business needs
Design experiments and evaluations based on best practices in ML
Carry out AI solution prototyping and experimentation
Define and implement features to meet customer requirements with Product Team
Build high-quality AI-based production software
Identify customer needs, potential roadblocks and solutions with application engineering
Support software solution lifecycle from an AI perspective
Establish standards of practice in applied ML/AI to the life sciences industry
Create educational content to improve AI literacy and guide AI usage
Advise on AI for Parexel AI Labs
Master’s or PhD in engineering or computer science with a focus on ML/NLP or equivalent qualification/experience
Strong skills in ML, NLP, Deep Learning, and deploying NLP systems
Strong CS fundamentals in data structures, algorithms, and distributed systems
Proficiency in probability, statistical NLP algorithms, and modern ML technologies
Software engineering skills to write production ready code, architect packages, and make sound architectural choices
Knowledge of Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow)
Experience with database technologies (ElasticSearch, Neo4j, SQL)
Excellent communication skills
Flexible attitude towards work assignments and new learning
Ability to manage multiple tasks and prioritize workload with detail
Willingness to work in a matrix environment
Experience as an NLP Engineer or Machine Learning Engineer in a commercial setting essential
Advanced experience with tools like Git, Github, AWS or Azure, JIRA, Confluence, Docker
High expertise in Python
Experience producing high-quality code in shared context
Up to date with ML and NLP techniques/models
Research experience in Machine Learning/AI (NLP) preferred
Leading delivery of production-quality AI solutions and models in a professional engineering context
Desirables
Flexibility
Teamwork
Detail-oriented
What the job involves
Develop AI Labs’ machine learning platform and create AI-based solutions and models for high impact areas in Parexel’s business.
Write, test, and release code and internal libraries according to the technology and product roadmaps.
Work collaboratively with application engineering, product, and business stakeholders to develop innovative ML solutions and models from research to POC to production.
Serve as experts within Parexel, driving AI education and providing expert guidance across the company.
Parexel is dedicated to advancing clinical research in healthcare's most complex areas and making a difference in patients' lives by providing innovative solutions and increasing access to clinical trials worldwide.