Machine Learning Engineer (Oxford)

Machine Learning Engineer (Medical & Drug Discovery)

Oxford (2 days a week onsite)

Competitive (Up to £85,000, DOE)

Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this is your chance to make a real impact.

Role Overview:

As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights.

Key Responsibilities:

• Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery.
• Build data pipelines for large biomedical datasets (genomics, clinical, molecular).
• Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis.
• Apply NLP to process biomedical literature and clinical data.
• Collaborate with cross-disciplinary teams to ensure models meet scientific goals.
• Continuously monitor and improve model performance.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with bioinformatics tools (e.g., Biopython, RDKit).
• Strong knowledge of statistical models, deep learning, and data preprocessing.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker).
• Strong problem-solving and communication skills.

Desirable:

• Experience with generative models (e.g., GANs, VAEs).
• Knowledge of molecular docking, cheminformatics, or systems biology.
• Understanding of regulatory and data privacy in healthcare AI.

Benefits:

• Competitive salary and equity options.
• Comprehensive health, dental, and vision coverage.
• Opportunities for professional growth and research collaboration.
• Flexible working environment, including remote options.

Help us drive the future of healthcare through AI-powered discoveries. Your work could lead to the next breakthrough drug or life-saving treatment.

Please apply ASAP to discuss further