Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform research into impactful machine learning solutions and tackle real-world challenges.
- Company: Join a forward-thinking studio at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of AI while collaborating with diverse teams on exciting projects.
- Qualifications: Degree in computer science or related field; strong Python programming skills required.
- Other info: Dynamic environment with a focus on continuous improvement and shared learning.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Machine Learning Specialist/Programmer who can translate research into real-world impact. You are curious, hands on and motivated by turning ideas into working systems that improve how things are done. Comfortable navigating uncertainty, you experiment, challenge convention and focus on what truly adds value. In this role, you will help shape how machine learning is applied across the Studio, ensuring solutions are robust, usable and widely adopted.
Working at the intersection of research, engineering and delivery, you will collaborate with cross-disciplinary teams to take ideas from early exploration through to production ready systems. You will focus on solving real workflow challenges, developing scalable ML/AI applications and embedding them into everyday practice, while continuously improving systems based on feedback and contributing to shared learning.
What makes you eligible:
- Degree or equivalent experience in computer science, data science, machine learning or a related field
- Proven experience developing and deploying machine learning systems in production environments
- Strong programming skills in Python, with working knowledge of JavaScript or TypeScript
- Experience building and maintaining data pipelines, APIs and integrated systems
- Familiarity with modern development practices, including version control (e.g. Git), testing and CI/CD
- Experience deploying, monitoring and maintaining systems in production environments
This is an opportunity to shape how AI is used in practice, growing your impact while helping define what comes next.
Machine Learning Specialist employer: Heatherwick Studio
Contact Detail:
Heatherwick Studio Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with cross-disciplinary teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our mission to turn ideas into impactful systems.
We think you need these skills to ace Machine Learning Specialist
Some tips for your application 🫡
Show Your Curiosity: We want to see your passion for machine learning! In your application, highlight any projects or experiences that showcase your curiosity and hands-on approach. Tell us about how you've turned ideas into working systems before.
Be Specific About Your Skills: When listing your skills, be specific! Mention your programming prowess in Python and any experience with JavaScript or TypeScript. We love seeing how you’ve built and maintained data pipelines or APIs, so don’t hold back!
Highlight Collaboration: This role is all about teamwork, so make sure to mention any cross-disciplinary projects you've worked on. Share examples of how you’ve collaborated with others to take ideas from concept to production-ready systems.
Apply Through Our Website: Ready to take the plunge? We encourage you to apply through our website! It’s the best way for us to see your application and get to know you better. Don’t miss out on this opportunity to shape the future of AI with us!
How to prepare for a job interview at Heatherwick Studio
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and programming skills, especially in Python. Be ready to discuss your past projects and how you've turned research into practical applications. This shows you're not just knowledgeable but also hands-on.
✨Show Your Curiosity
Demonstrate your curiosity by asking insightful questions about the company's current ML projects and challenges. This not only shows your interest but also helps you understand how you can contribute to their goals.
✨Be Ready to Collaborate
Since this role involves working with cross-disciplinary teams, be prepared to discuss how you've successfully collaborated in the past. Share examples of how you’ve navigated uncertainty and worked with others to solve complex problems.
✨Highlight Your Adaptability
Talk about your experience with modern development practices like CI/CD and version control. Emphasise your ability to adapt and improve systems based on feedback, as this aligns perfectly with the role's focus on continuous improvement.