diff --git a/lifelines/fitters/log_logistic_aft_fitter.py b/lifelines/fitters/log_logistic_aft_fitter.py
index 8f806b883..a475082c9 100644
--- a/lifelines/fitters/log_logistic_aft_fitter.py
+++ b/lifelines/fitters/log_logistic_aft_fitter.py
@@ -64,6 +64,7 @@ class LogLogisticAFTFitter(ParametericAFTRegressionFitter):
 
     # about 25% faster than BFGS
     _scipy_fit_method = "SLSQP"
+    _scipy_fit_options = {"ftol": 1e-6, "maxiter": 200}
 
     def __init__(self, alpha=0.05, penalizer=0.0, l1_ratio=0.0, fit_intercept=True, model_ancillary=False):
         self._ancillary_parameter_name = "beta_"
diff --git a/lifelines/fitters/piecewise_exponential_regression_fitter.py b/lifelines/fitters/piecewise_exponential_regression_fitter.py
index 281202a52..9f90852d3 100644
--- a/lifelines/fitters/piecewise_exponential_regression_fitter.py
+++ b/lifelines/fitters/piecewise_exponential_regression_fitter.py
@@ -22,6 +22,7 @@ class PiecewiseExponentialRegressionFitter(ParametricRegressionFitter):
 
     # about 50% faster than BFGS
     _scipy_fit_method = "SLSQP"
+    _scipy_fit_options = {"ftol": 1e-6, "maxiter": 200}
 
     def __init__(self, breakpoints, alpha=0.05, penalizer=0.0):
         super(PiecewiseExponentialRegressionFitter, self).__init__(alpha=alpha)
diff --git a/lifelines/fitters/weibull_aft_fitter.py b/lifelines/fitters/weibull_aft_fitter.py
index 6483ec25b..3a86b16f5 100644
--- a/lifelines/fitters/weibull_aft_fitter.py
+++ b/lifelines/fitters/weibull_aft_fitter.py
@@ -65,6 +65,7 @@ class WeibullAFTFitter(ParametericAFTRegressionFitter):
 
     # about 25% faster than BFGS
     _scipy_fit_method = "SLSQP"
+    _scipy_fit_options = {"ftol": 1e-10, "maxiter": 200}
 
     def __init__(self, alpha=0.05, penalizer=0.0, l1_ratio=0.0, fit_intercept=True, model_ancillary=False):
         self._ancillary_parameter_name = "rho_"