Could you explain the tradeoff between bias and variance in machine learning and share an instance where you have observed this phenomenon in a model's performance?

Interview question asked to Machine Learning Engineers interviewing at GoCardless, Palo Alto Networks, Venmo and others: Could you explain the tradeoff between bias and variance in machine learning and share an instance where you have observed this phenomenon in a model's performance?.