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- Tasks: Design and develop cutting-edge ML systems for next-gen chat experiences.
- Company: Fast-growing conversational AI startup with a mission to redefine personal chatbots.
- Benefits: 100% remote work, competitive salary, equity, and annual learning stipend.
- Why this job: Shape the future of personal AI in a creative and impactful environment.
- Qualifications: Strong experience in ML systems, Next.js, TypeScript, and collaborative mindset.
- Other info: Enjoy minimal meetings, regular team retreats, and a clear growth path.
The predicted salary is between 45000 - 75000 £ per year.
I’m partnered with a fast-growing conversational AI startup that’s redefining how people interact with personal chatbots. Their mission? To create intelligent, intuitive digital companions that genuinely feel human.
As they expand their engineering team, they’re looking for a Machine Learning Engineer who’s passionate about building high-performing, scalable AI systems — not just models, but end-to-end products that people love using.
What you’ll be doing:
- Designing and developing cutting-edge ML systems that power next-gen chat experiences
- Collaborating with product, UX, and engineering teams to bring new features to life
- Building with modern frameworks like Python, TypeScript, Next.js, Supabase, and Tailwind
- Keeping the AI stack performant, reliable, and ever-evolving
- Staying ahead of emerging ML trends and applying them to real-world product impact
What you’ll bring:
- Strong experience across ML systems and algorithms
- Solid technical grounding in Next.js, TypeScript, Tailwind, and Supabase
- Experience with APIs, RESTful design, and data modeling
- A collaborative mindset and genuine curiosity for AI innovation
Why join?
- 100% remote (EU ±4h)
- Work when you’re most productive — minimal meetings, maximum output
- Competitive salary + equity
- Inclusive, mission-led culture
- Annual learning stipend + clear growth path
- Regular team retreats & optional Mexico City office
If you’re excited by the idea of shaping the future of personal AI and want to work somewhere that values creativity, autonomy, and impact — this could be the one.
Drop me a message if you’d like to learn more — I’d love to share what makes this opportunity stand out.
Machine Learning Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML systems and frameworks like Python and TypeScript. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search — it shows you’re genuinely interested in joining our mission!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Machine Learning Engineer role. Highlight your experience with ML systems, Python, TypeScript, and any relevant projects that showcase your ability to build scalable AI products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of your work and how it relates to creating intuitive digital companions. This is your chance to show your personality!
Showcase Your Projects: If you've worked on any interesting ML projects or have a portfolio, make sure to include links in your application. We love seeing real-world applications of your skills, especially if they involve modern frameworks like Next.js or Tailwind.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation
✨Know Your ML Stuff
Make sure you brush up on your machine learning algorithms and systems. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios. They’ll want to see your passion for building scalable AI systems, so come prepared with examples!
✨Familiarise Yourself with the Tech Stack
Since the role involves working with Python, TypeScript, Next.js, Supabase, and Tailwind, it’s crucial to have a solid understanding of these technologies. Try to showcase any relevant experience you have with them during the interview, as this will demonstrate your readiness to hit the ground running.
✨Collaboration is Key
This startup values teamwork, so be prepared to talk about how you’ve collaborated with product, UX, and engineering teams in the past. Share specific examples of how your collaborative mindset has led to successful outcomes in your projects.
✨Stay Ahead of Trends
Show your genuine curiosity for AI innovation by discussing emerging ML trends and how they could impact the products you’ll be working on. This not only highlights your knowledge but also your enthusiasm for contributing to the company’s mission of redefining personal chatbots.
