Machine Learning (ML) Engineer II

Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. We believe in our values, Patients First, Quality, Respect, Empowerment & Accountability.

This role will work within our AI Labs’ department which is an innovative team that will build and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. The team partners and supports the business in building best-in-class AI-driven solutions when nothing suitable exists.

This role is to be based in the UK and can be either office-based (Uxbridge) or fully home-based anywhere in the UK. The office is open planned, and you will be working in an innovative and collaborative environment with your international peers and colleagues.

As the Machine Learning (ML) Engineer II, you will be responsible for developing AI Labs’ machine learning platform and creating production-ready AI-based solutions for key impact areas in Parexel’s business. In this role, you will write, test, and release code and internal libraries according to the technology and product roadmaps. You will work collaboratively with application engineering, product, and business stakeholders to develop principled and innovative ML solutions from research to POC to production. You will also serve as an expert within Parexel, driving AI education and providing expert guidance to other parts of the business.

Key Accountabilities:

1. ML and Natural Language Processing (NLP) Technology:
   • Leverage proprietary technology stack to build custom machine learning models
   • Design, implement, and document new ML/NLP modeling techniques and strategies
   • Develop Back-end / server-side software to support AI solution development and serving
   • Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow 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 to enhance ML quality and security
2. Applied ML POCs and Experimentation:
   • Understand business needs and user workflows and interpret in the context of potential AI solutions
   • Develop custom models and AI/NLP solutions to address business needs
   • Lead experiment and evaluation design based on well-founded best practices in machine learning to ensure safe, effective, and principled AI development practices
   • Carry out AI solution prototyping and experimentation
3. AI-based Production Solutions:
   • Collaborate with Product to define and implement features to satisfy customer requirements
   • Partner with application engineering to build high-quality AI-based production software
   • Participate in planning and check-in meetings to identify customer needs, potential roadblocks and solutions and support the software solution lifecycle from an AI perspective
4. AI Expertise, Education, and Advocacy:
   • Contribute to establishing standards of practice in applied ML/AI to the life sciences industry
   • Create educational content for the AI Center of Excellence and other contexts to improve AI literacy and guide appropriate AI usage and communication across the company
   • Act as an AI expert advisor across Parexel on behalf of AI Labs

Education:

• Educated to Master’s or PhD level in engineering or computer science with a focus on Machine Learning (and NLP) or other equivalent qualification/experience.

Skills:

• Machine Learning, Natural Language Processing (NLP), Deep Learning (building and deploying NLP systems)
• Strong CS fundamentals including data structures, algorithms, and distributed systems
• Theoretical and practical proficiency in probability, statistical NLP algorithms, and modern ML technologies, including: transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc.
• Strong software engineering fundamentals, including the ability to write production-ready code, architect packages, and make sound architectural and procedural choices for effective shared codebases
• Python and scientific computing packages (pytorch, numpy, scikit-learn, tensorflow)
• Database technologies such as ElasticSearch, Neo4j, and SQL
• Excellent interpersonal, verbal, and written communication skills
• A flexible attitude with respect to work assignments and new learning
• Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail
• Willingness to work in a matrix environment with a variety of non-technical stakeholders and technical collaborators, and to value the importance of teamwork.

Knowledge and Experience:

• Strong previous NLP Engineer or Machine Learning Engineer experience working in a commercial environment is essential.
• Advanced level experience with the following tools: Git, Github, scientific computing packages (pytorch, numpy, tensorflow), AWS or Azure cloud platforms, JIRA, Confluence, Docker
• High level expertise in the use of Python is essential.
• Experience producing high-quality code in a shared context
• Up to date with state of the art in Machine Learning (and NLP techniques/models)
• Experience conducting and publishing research in Machine Learning/AI(NLP) preferred
• Intermediate experience owning the delivery of cutting-edge production-quality AI solutions and models

In return we will be able to offer you a structured career pathway and encouragement to develop within the role including awareness and understanding of the industry. You will be well supported and for your hard work you will be rewarded with a competitive base salary as well as a benefits package including holiday, private healthcare, dental insurance as well as other benefits that you would expect with a top company in the CRO Industry.

Apply today to begin your Parexel journey!

#LI-REMOTE

Company:

Parexel

Qualifications:Language requirements:Specific requirements:Educational level:Level of experience (years):

Senior (5+ years of experience)

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