Machine Learning Engineer

About Our Team

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

About The Role

We are seeking an ML Engineer to develop our AI/ML infrastructure. This role offers the opportunity to work with major pharmaceutical companies on projects that help discover the medicines of tomorrow. Additionally, you will have access to extensive data through our parent company, Elsevier, enabling the development of advanced models not possible with public data alone.

Responsibilities

1. Develop infrastructure to support AI models for processing large volumes of text-based data.
2. Create and support interfaces for model interaction.
3. Conduct testing and documentation.

Requirements

1. Experienced Python developer.
2. Proficiency with machine learning libraries such as TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy.
3. Experience with AWS (EC2, S3, SageMaker) or Azure/GCP equivalents.
4. Experience designing, developing, and deploying scalable infrastructure (e.g., Apache Airflow, Luigi).
5. Object-oriented programming concepts and design.
6. Ability to create well-documented, modular, and unit-tested code.
7. Understanding of Agile development and tools like pip, git, Docker, Terraform, AWS.
8. Passion for learning and applying new technologies.

Additional Skills (Advantageous)

1. Experience designing or using RESTful web services.
2. Experience deploying code in containers (e.g., Docker).
3. Background in life sciences or pharmaceuticals.
4. Experience with CI/CD pipelines.
5. Comfortable working in Linux environments.
6. Knowledge of text processing and Big Data.

Working For You

We value your wellbeing and happiness, offering benefits such as:

• Generous holiday allowance with options to buy extra days.
• Health screening, eye care vouchers, private medical benefits.
• Wellbeing programs and life assurance.
• Contributory pension scheme.
• Share options, travel loans, electric vehicle schemes, dental insurance.
• Maternity, paternity, and shared parental leave.
• Employee Assistance Program, charity support days, resource groups, learning resources, discounts.

About The Business

Elsevier is a global leader in information and analytics, supporting research and healthcare to improve health outcomes and advance science. We combine quality information with analytics to support research, education, healthcare, and clinical practice, contributing to a sustainable future. We are an equal opportunity employer committed to diversity and inclusion. For accommodations during the hiring process, please complete our support form or contact us at the provided number.

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