OP, if you’re serious about wanting an ML-related job and skipping the education part, look for any data job to start, to get your foot in the door. Get work experience in the field.

Aside, there’s many things you can do to demonstrate your abilities.

• Work on interesting personal projects to build a portfolio to showcase. Interesting is in bold, because I suggest avoiding popular datasets like the Titanic one or the Housing market one - pick something to set you apart.
• You could enter Kaggle competitions and be very active on the platform. Not sure how much this would help get a job, but more experience is always positive.
• Alternatively, I’ve read that upworks can be a good place to start looking for independent projects. I’m not super familiar with the platform though.
• As someone else said, participate in the open source communities with contributions. That will demonstrate your skills and perhaps help you network with others in the field.
• Get certifications from respected platforms. Ie. Google cloud, AWS certs, etc.

The field is very difficult right now, and upskilling always needed. So being able to self teach and keep up to date is always gonna be positive.

One thing I would say though, is self-reflect on what you know and don’t know. When you say you “Know how to do everything”, that’s a red flag for many people - a lack of self awareness can result in critical errors and a lack of productivity. When you can admit the flaws in your work, it’s much easier to ask for help from others and use these opportunities to grow. It’s a good skill to develop and imo makes one a better learner and a better person to collaborate with.

That said, good luck achieving your goals! This field is pretty exciting right now!