Machine Learning Engineer

RELX; Cambridge; On-site; GBP 45,000 - 65,000; Full time

Job summary

Join a leading company in the life sciences sector as a Machine Learning Engineer in Cambridge. You'll develop AI/ML infrastructure and work on projects that aid major pharmaceutical companies, leveraging a vast dataset provided by Elsevier. This role is perfect for an experienced Python developer who is passionate about cutting-edge technology and aims to transform healthcare through AI.

Benefits

Generous holiday allowance

Health screening and private medical benefits

Wellbeing programs

Life assurance

Contributory pension scheme

Share option scheme

Travel season ticket loan

Electric Vehicle Scheme

Maternity and paternity leave

Qualifications

• Experienced Python developer.
• Experience with machine learning libraries like TensorFlow and scikit-learn.
• Some experience designing and deploying scalable infrastructure.

Responsibilities

• Develop AI infrastructure for processing large text-based data.
• Support the use of AI models through interfaces.
• Collaborate with data science teams to scale AI pipelines.

Skills

Python

TensorFlow

HuggingFace

scikit-learn

PyTorch

Pandas

NumPy

SciPy

Tools

AWS

Azure

GCP

Job description

6 days ago Be among the first 25 applicants

About Our Team

SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data.

About Our Team

SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data.

About The Role

We are looking for an ML Engineer to develop our AI/ML infrastructure. This is an opportunity to join a company actively working with the majority of the world’s major pharmaceutical companies on projects that directly help discover the medicines of tomorrow. In addition, you’ll have access to an unrivalled set of data through our parent, Elsevier, to build models that cannot be achieved using public data alone.

Responsibilities

You’ll be joining a DataOps team helping to scale AI pipelines. By closely collaborating with the Ontology and Data Science teams, we make access to the latest AI models a reality for our colleagues and customers. The main duties of this role include:

• Developing infrastructure to support the use of AI models for the processing of large volumes of text-based data
• Developing/supporting interfaces for interaction with the models
• Testing and documentation
  
  

Requirements

• Experienced Python developer
• Experience utilising machine learning libraries such as (in order of importance)
• TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy
• Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents
• Some experience of designing, developing and deploying scalable infrastructure (eg Apache Airflow, Luigi or other cluster management software)
• Object Orientated concepts and design
• The ability to design and build unit-tested and well documented modular code
• Understanding of Agile software development process and software management/deployment tools such as pip, git, docker, Terraform, AWS etc.
• A passion for learning and applying new technologies
  
  

Additionally, Any Experience In The Following Would Be Advantageous

• Experience of designing or using RESTful web services
• Understanding and experience of deploying code in containers, eg docker
• Experience in the life sciences or pharmaceutical domains
• Experience with CI/CD
• Confidence in Linux based environments
• Text Processing and Big Data
  
  

Working For You

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme
• Travel Season ticket loan
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts scheme via Perks at Work
  
  

About The Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Media

Referrals increase your chances of interviewing at RELX by 2x

Get notified about new Machine Learning Engineer jobs in Cambridge, England, United Kingdom.

25.03.25 Machine Learning Scientists/Engineers, Cambridge, UK

Cambridge, England, United Kingdom 2 days ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 5 days ago

Software Engineers (all levels - Graduates to principal Engineer)

Cambridge, England, United Kingdom 5 months ago

Cambridge, England, United Kingdom 1 week ago

Research Software Engineer (ICCS) (Fixed Term)

Cambridge, England, United Kingdom 4 weeks ago

Cambridge, England, United Kingdom 1 day ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 3 weeks ago

Cambridge, England, United Kingdom 1 week ago

Machine Learning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term)

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 3 hours ago

Cambridge, England, United Kingdom 2 days ago

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 4 days ago

Cambridge, England, United Kingdom 2 days ago

Cambridge, England, United Kingdom 3 weeks ago

Cambridge, England, United Kingdom 1 week ago

Cambridge, England, United Kingdom 1 month ago

Cambridge, England, United Kingdom 3 weeks ago

Cambridge, England, United Kingdom 23 hours ago

Cambridge, England, United Kingdom 1 week ago

Senior Research Engineer – Machine Learning – Microsoft Research

Cambridge, England, United Kingdom 5 days ago

Cambridge, England, United Kingdom 4 weeks ago

Senior Software Engineer, Python Automation

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 4 weeks ago

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 3 weeks ago

Software Engineer (Full Stack, Machine Learning)

Cambridge, England, United Kingdom 1 week ago

Researcher/Senior Researcher in Computer Vision and Machine Learning

Cambridge, England, United Kingdom 2 weeks ago

Cambridge, England, United Kingdom 1 week ago

Saffron Walden, England, United Kingdom 5 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.