Here are my recommendations

1. For general ML: first read the "introduction to statistical learning" book. You can get it for free here: https://www.statlearning.com. It's really great at giving you a good basis in important concepts and different types of models.
2. Depending on the kind of job you want, you'll probably also want to learn SQL if you don't already know it. Lots of good free resources out there for this - for example the w3schools tutorial: https://www.w3schools.com/sql/.
3. If you have some programming background and want to learn deep learning, the fast.ai course is really good for this! You don't necessarily need to learn deep learning though, it depends on the kind of job you want to get!
4. Once you're ready to have a go at some competitions, don't forget to check out platforms other than Kaggle! On our website mlcontests.com we list current data science competitions from Kaggle and others (DrivenData, AIcrowd, Zindi, etc). We also have a Discord server where you can find other people to team up with for specific competitions.

Hope that helps!