Machine Learning Engineer

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.