ml engineer in controllable biology

Enfint; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive program

Health care for employees and families

Retirement benefits

Paid holidays and leaves

On-site work 2 days per week

Job summary

GSK ищет специалиста по машинному обучению и искусственному интеллекту для разработки и внедрения полноценных AI/ML‑решений: от подбора обучающих данных до тестирования и бенчмаркинга на биологических данных и сетях.

Кандидат должен иметь степень магистра, владеть Python и PyTorch, опыт работы с геномикой/сетями и готовность работать на кампусе Лондона два дня в неделю; удаленная работа не доступна.

Qualifications

• Магистр по смежной области; опыт обучения и применения ML/AI.
• Знание стандартных алгоритмов глубокого обучения и архитектур моделей.

Responsibilities

• Разрабатывать и внедрять AI/ML‑решения на протяжении всего цикла проекта.
• Проводить benchmarking моделей на биологических данных и сетях.
• Сотрудничать с командами для внедрения моделей в рабочие процессы.

Skills

Machine learning

Software engineering

PyTorch

Python

Genomics data

Biological networks

Deep learning

Education

Master’s degree in computer science, mathematics or natural sciences

Advanced degree in quantitative field

Tools

Python

PyTorch

Job description

Описание: GSK is a global biopharma company that develops specialty medicines and vaccines to prevent and treat disease. It focuses on respiratory, immunology and inflammation, oncology, HIV, and infectious diseases.

Задачи:

Execute and deliver full AI/ML-driven solutions from sourcing training data through model design, implementation, testing, and benchmarking; Apply machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell experiments.

Требования:

Hold a Master’s degree in a related field such as computer science, mathematics, or natural sciences; Know machine learning, software engineering, and agentic development best practices; Demonstrate proficiency with standard deep learning algorithms and model architectures; Have experience with Python and PyTorch, or equivalent languages and machine learning frameworks; Have experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks, or related biological datasets; Nice to have: Advanced degree in a quantitative or computational field, knowledge of systems biology, disease biology, molecular biology and biochemistry, peer-reviewed publications in major AI conferences, track record of contributing to open-source projects.

Условия:

• Annual bonus;
• Eligibility to participate in the share-based long-term incentive program;
• Health care and other insurance benefits for employees and families;
• Retirement benefits;
• Paid holidays, vacation, and paid caregiver, parental, and medical leave;
• On-site work is required 2 days per week; remote or fully home-working arrangements are not available.