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- Tasks: Design and build intelligent systems for enterprise clients using cutting-edge technology.
- Company: Join a pioneering Industrial AI and Optimization Startup with a dynamic culture.
- Benefits: Competitive salary of £40k plus equity, with remote work options.
- Why this job: Shape the future of technology and make a real impact from day one.
- Qualifications: BSc in Machine Learning or Computer Science with cloud product development experience.
- Other info: Be part of a fast-growing startup with significant career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
As the first engineering hire at this early-stage startup, you will design and industrialize intelligent systems for enterprise clients. You will build core technical foundations, from cloud infrastructure to advanced machine learning workflows. This is a unique opportunity to shape the technology stack and culture of a company solving complex operational challenges.
Why this role is remarkable:
- Founding-level impact with the authority to shape the entire technical strategy and engineering culture from day one.
- Work on mission-critical industrial applications where reliability and scalability are paramount for large enterprise clients.
- Significant equity potential in a fast-growing startup, offering high upside as the company scales its intelligence platform.
What you will do:
- Design and industrialize products on major cloud platforms including GCP, Azure, or AWS to support enterprise-grade operations.
- Build and optimize machine learning workflows for predictive modeling, anomaly detection, and reinforcement learning applications.
- Develop multi-modal LLM applications that fuse text, vision, and sensor data to drive intelligent industrial decision-making.
The ideal candidate:
- Minimum BSc in Machine Learning or Computer Science with proven experience in cloud-based product development and MLOps.
- Strong expertise in building machine learning workflows, specifically regarding anomaly detection, predictive modeling, and model deployment.
- Resourceful startup mindset with the ability to balance rapid prototyping with the creation of reliable, production-grade systems.
Founding Engineer (£40k + Equity) at Industrial AI and Optimization Startup in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer (£40k + Equity) at Industrial AI and Optimization Startup in London
✨Tip Number 1
Get to know Jack! He’s your go-to AI for understanding what you’re great at and what you want. A quick chat with him can really help tailor your approach and make you stand out.
✨Tip Number 2
Don’t just apply anywhere; focus on roles that excite you, like this Founding Engineer position. Use our website to connect with Jack and get the inside scoop on opportunities that match your skills.
✨Tip Number 3
Prepare for your chat with Jack by thinking about your past projects and how they relate to the role. Highlight your experience in cloud platforms and machine learning workflows to show you’re a perfect fit!
✨Tip Number 4
If Jill thinks you’re a great match, she’ll set up an introduction. But if it doesn’t work out, don’t sweat it! Jack will help you find other fantastic opportunities tailored just for you.
We think you need these skills to ace Founding Engineer (£40k + Equity) at Industrial AI and Optimization Startup in London
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for the role and the company! Share why you're excited about working in an early-stage startup and how you can contribute to shaping the technology stack.
Tailor Your CV: Make sure your CV highlights relevant experience in cloud-based product development and MLOps. We want to see how your skills align with the job description, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Use your cover letter to tell your story. Explain how your background in machine learning and your resourceful mindset make you the perfect fit for this founding engineer role. Keep it engaging and personal!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect you with Jack and ensure your application gets the attention it deserves. We’re here to help you every step of the way!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in the cloud platforms mentioned in the job description, like GCP, Azure, or AWS. Brush up on your knowledge of machine learning workflows and be ready to discuss how you've applied them in past projects.
✨Showcase Your Startup Mindset
This role requires a resourceful attitude, so come prepared with examples of how you've balanced rapid prototyping with building reliable systems. Share stories that highlight your adaptability and problem-solving skills in a fast-paced environment.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about anomaly detection, predictive modelling, and model deployment. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.
✨Cultural Fit Matters
As the first engineering hire, you'll shape the company culture. Be ready to discuss what kind of work environment you thrive in and how you can contribute to building a positive, collaborative atmosphere. Show enthusiasm for being part of something new!
