Senior Machine Learning (ML) Engineer

Parexel; United Kingdom; Hybrid; GBP 65,000 - 70,000; Full time

Job summary

An established industry player is seeking a Senior Machine Learning Engineer to join their innovative AI Labs team. This role offers the opportunity to develop cutting-edge machine learning solutions that enhance workflows across the life sciences sector. You will leverage your expertise in ML and NLP to create impactful AI-driven applications while collaborating with a diverse team of professionals. This position allows for flexibility, as it can be office-based in Uxbridge or fully remote anywhere in the UK. With a commitment to patient-first values, this role promises a rewarding career path in a supportive environment, where your contributions will drive significant advancements in healthcare technology.

Benefits

Private Healthcare

Dental Insurance

Competitive Base Salary

Structured Career Pathway

Holiday Benefits

Qualifications

• Master’s or PhD in Engineering or Computer Science with a focus on Machine Learning.
• Strong previous NLP Engineer or Machine Learning Engineer experience in a commercial environment.

Responsibilities

• Develop AI Labs’ machine learning platform and create production-ready AI solutions.
• Collaborate with stakeholders to develop innovative ML solutions from research to production.

Skills

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Python

Data Structures and Algorithms

Statistical NLP Algorithms

Software Engineering Fundamentals

Interpersonal Communication

Education

Master’s or PhD in Engineering or Computer Science

Tools

Pytorch

Numpy

Scikit-learn

TensorFlow

Git

Docker

AWS

Azure

JIRA

Confluence

Job description

Join to apply for the Senior Machine Learning (ML) Engineer role at Parexel

Join to apply for the Senior Machine Learning (ML) Engineer role at Parexel

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 partner and support 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 Senior Machine Learning (ML) Engineer you will be responsible for developing AI Labs’ machine learning platform and creating production ready AI-based solutions and models for high 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 and models from research to POC to production. Within the role you will also serve as experts within Parexel, driving AI education and providing expert guidance across the company.

Key Accountabilities:

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

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

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

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 nontechnical 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
• Advanced experience owning the delivery of cutting-edge production-quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context

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, bonus 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!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Information Technology, and Science

• Industries

  Biotechnology Research and Technology, Information and Media

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