Lead Instructor Data Science & Machine Learning (Freelance-Remote)
About Ironhack
Ironhack is an education startup founded to disrupt the way tech education works.
Doesn’t it seem odd that we’ve been learning the same way since the Industrial Revolution? While most industries constantly innovate to become faster, better, and more efficient, education often follows a long, costly path that doesn’t always lead to fulfilling careers.
At Ironhack, we empower students to create a new path—one that leads to meaningful careers in software development, product design, data analytics, and data science in a fraction of the time and cost of traditional education.
Our mission is to be unapologetically outcomes-driven. Whether our students want to change careers, advance professionally, skip university, or start their own company, we work tirelessly to make learning immersive, practical, and accessible. Seeing our students succeed is what motivates us every day.
About the Role
We are looking for a full-time Lead Instructor for our Data Science & Machine Learning Bootcamp at our Remote Campus.
This role is ideal for someone passionate about data science, machine learning, and education, who is excited to take ownership of the academic experience and guide students through an intensive, immersive bootcamp.
The bootcamp will start on February 16th, with an onboarding period prior to the program start to ensure full alignment with Ironhack’s methodology, tools, and curriculum.
Schedule & Modality
Onboarding: 2 weeks prior to the bootcamp start
Bootcamp dates: February 16th – April 18th
Full-time position
Remote Campus
Monday to Friday 09:00 – 18:00 (CET)
Responsibilities
The Ironhack Experience
Oversee the full academic experience of the Data Science & Machine Learning Bootcamp.
Teach live sessions at our Remote Campus following a full-time schedule.
Lead and support students throughout the program, ensuring engagement, progress, and achievement of learning outcomes.
Manage and collaborate with Teaching Assistants to ensure student success.
Foster a safe, inclusive, and energetic learning environment that supports different learning styles.
Challenge students to think critically and strategically while working on real-world data problems.
Inspire and mentor students to continue developing their skills beyond the bootcamp.
Collaborate closely with Program Managers and Outcomes Managers to support students’ career goals.
Design, administer, and evaluate assessments, providing timely and constructive feedback.
Teaching & Curriculum
Teach core topics including:
Python programming
Data handling and SQL
Machine learning algorithms
Deep learning principles
Specialized topics such as NLP and computer vision
Lead hands-on projects and practical activities to ensure job-ready skills.
Ensure students meet program outcomes, including model deployment, neural network creation, and exposure to MLOps practices.
Collaboration with Global Teams
Collaborate with Curriculum Engineers to continuously improve course content.
Work with global teams on the rollout of new teaching materials.
Adapt and enrich Ironhack’s global curriculum, creating lesson plans as needed and sharing insights and improvements.
Contribute to the creation of engaging educational content such as lessons, exercises, and mini-projects.
Community Building
Actively contribute to the student experience by participating in events and community initiatives.
Build a strong learning community that continues beyond the bootcamp duration.
Requirements
3–5 years of experience in Data Science, Machine Learning, or a related field, ideally in a leadership or mentoring role.
Full professional fluency in English (all classes and internal communication are conducted in English).
Strong passion for data technologies and teaching.
Experience with deep learning frameworks (TensorFlow, PyTorch).
Experience working with cloud platforms (AWS, Azure).
Proven ability to create and adapt teaching materials and methodologies.
Ability to tailor lesson plans based on student progress and learning challenges.
Strong classroom management and facilitation skills, including group and pair work.
Experience managing or mentoring teams and keeping them motivated.
Proactive problem-solver with strong organizational skills.
Excellent communication skills and ability to engage and inspire learners.
Reliable, open to feedback, and highly collaborative.
Enjoys mentoring and contributing to the tech education community.
What You’ll Gain
The opportunity to lead and shape a full Data Science & Machine Learning bootcamp.
A platform to grow as an educator and technical leader.
The chance to make a tangible impact on students’ careers.
Collaboration with a global, experienced education team.
Development of leadership, coaching, and curriculum design skills.
A fully remote, dynamic, and collaborative work environment.
- Department
- Instructional Staff
- Remote status
- Fully Remote
- Employment type
- Full-time
Madrid
We believe in global benefits that help us feel our best and do our best
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Flexible work environment
We believe in individual responsibility and autonomy. Enjoy a hybrid work culture and a very flexible environment that promotes your work-live balance
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Growth and development
Boost your career with our individual development plans and keep your skills up to date with top-notch training
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Fitness and wellness
Access a global network of gyms and studios and enjoy wellness programs thanks to Gympass
Our culture
Our mission is to impact the lives of our students and of the people working here. We are a global community of passionate Ironhackers and together we are shaping and changing the future of education in a working environment with flat hierarchies
About Ironhack
Ironhack is a Global Tech School ranked top 2 worldwide.
Our mission is to help people transform their careers and join a thriving community of tech professionals that love what they do.
We do this through Intensive courses & bootcamps in Web Development, UX/UI Design, Data Analytics & Cybersecurity, as well as Career Services aimed at helping our students to be prepared to look for a job after the course.
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