london, south east england, united kingdom Hybrid / WFH Options
Undisclosed
commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Undisclosed
commit early and deploy often Preferred qualifications: Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph More ❯
production-ready solutions Degree in a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable More ❯
production-ready solutions Degree in a computational, numerate, or life sciences discipline (or equivalent experience) Preferred: Docker and containerized application experience Experience in scientific or pharmaceutical domains (e.g. genomics, proteomics) Familiarity with AI/ML-powered applications and agent-based frameworks (LangGraph, PydanticAI, AutoGen) Knowledge of AI/ML evaluation and iterative model improvement Exposure to frontend technologies (React desirable More ❯
unit testing (e.g., pytest) and automated quality checks Understanding of agile software delivery and collaborative development Nice to Have: Experience with bioinformatics or large-scale biological data (e.g., genomics, proteomics) Familiarity with orchestration tools such as Airflow or Google Workflows Experience with containerisation (Docker) Exposure to NLP, unstructured data processing, or vector databases Knowledge of ML and AI-powered data More ❯
development practices (git/GitHub, CI/CD, agile). Experience with automated testing frameworks such as pytest. Preferred Qualifications Experience working with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI More ❯
Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems What You'll Bring A track record of delivering clean, production More ❯
Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based systems What You'll Bring A track record of delivering clean, production More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Adecco
for healthcare innovation and continuous learning Bonus: Background in biological sciences or pharmaceutical industry Preferred Skills Experience with Docker and multi-container architectures Exposure to scientific datasets (e.g. genomics, proteomics) Familiarity with AI/ML deployment, especially NLP tools (LangGraph, AutoGen) Understanding of AI/ML evaluation and iterative improvement Some experience with frontend development (e.g. React) If this opportunity More ❯
🌍 Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex More ❯
🌍 Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex More ❯
london (city of london), south east england, united kingdom
Understanding Recruitment
🌍 Lead Data Scientist | Biotech & Machine Learning | London (3/4 days per week onsite) About Excited to apply advanced machine learning to real-world biomedical discovery? This fast-growing biotech startup is building breakthrough algorithms that extract insight from complex More ❯
