Machine Learning Lead

Summary

Join SweedPos, a product-driven startup, as their Machine Learning Lead to contribute to scaling and optimizing their all-in-one cannabis retail platform. This remote position involves driving the strategy, architecture, and execution of ML initiatives, from recommendation systems to predictive analytics. You will lead a small ML team, define best practices, and build systems impacting product and business outcomes. Responsibilities include owning the ML roadmap, leading end-to-end development of ML features, designing and improving core ML systems, building and leading the ML team, mentoring team members, establishing standards for model development, and collaborating cross-functionally. The ideal candidate possesses 4+ years of experience in Machine Learning with production-level model deployment, strong Python and SQL skills, and a proven track record of delivering ML projects. SweedPos offers a competitive salary, 100% remote work, flexible hours, paid vacation and holidays, sick leave, medical insurance, and equipment reimbursement.

Requirements

• 4+ years of experience in Machine Learning, including production-level model deployment
• Strong experience with Python and SQL; experience with AWS (especially SageMaker) and Docker is a plus
• Proven track record of owning and delivering ML projects end-to-end
• Experience with modern ML workflows (e.g. MLOps, CI/CD for ML)
• Ability to lead and mentor others while remaining hands-on
• Excellent communication and prioritization skills

Responsibilities

• Own the ML roadmap – work closely with product, engineering, and leadership to align ML initiatives with company goals
• Lead end-to-end development of ML features: from ideation and prototyping to deployment and monitoring
• Design and improve core ML systems, including recommendation engines, time series forecasting, and personalization algorithms
• Build and lead the ML team – take part in hiring, onboarding, and performance management of engineers and data scientists
• Mentor and guide team members, fostering a culture of ownership, learning, and continuous improvement
• Establish standards for model development, evaluation, versioning, and deployment in production
• Collaborate cross-functionally with backend, data, and product teams to deliver scalable and maintainable solutions
• Stay ahead of the curve by evaluating and introducing new tools, technologies, and ML practices

Preferred Qualifications

• Bonus: experience in retail, personalization, or regulated industries
• Proactivity – We love team members who take initiative and provide feedback
• Critical thinking – We value problem-solvers who think beyond just writing code
• Adaptability – Our industry is evolving fast, and we need people who thrive in change

Benefits

• Salary in USD (B2B contract with the US company)
• 100% remote – We’re a remote-first company, no offices needed!
• Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team)
• 20 paid vacation days per year
• 12 holidays per year
• 3 sick leave days
• Medical insurance after probation
• Equipment reimbursement (laptops, monitors, etc.)