At a Glance
- Tasks: Lead the design of a cutting-edge cloud-based SaaS platform using AI and materials science.
- Company: Join a fast-growing deep-tech AI materials startup in London.
- Benefits: Competitive salary, equity options, and high autonomy in your role.
- Other info: Mentor junior engineers and shape the future of innovative technology.
- Why this job: Make a real impact at the forefront of AI and sustainable materials.
- Qualifications: 5+ years in product-focused engineering with strong API and database skills.
The predicted salary is between 95000 - 115000 € per year.
You will help build a cloud‑based SaaS platform that empowers engineers to utilize state‑of‑the‑art image‑based AI. By bridging the gap between machine learning and materials science, you will enable the design of sustainable, high‑performance materials. This high‑ownership role involves shaping architectural foundations, from backend infrastructure to high‑performance visual interfaces.
Why this role is remarkable:
- Work at the cutting edge of AI and materials science with a spin‑out from a world‑leading university.
- Join a well‑funded, fast‑growing team of 12 people backed by top‑tier engineering research and industry partnerships.
- High autonomy to make architectural decisions and directly influence the product direction while reporting to the CTO.
What You Will Do:
- Lead the design and delivery of end‑to‑end features using TypeScript, React, and Python‑based ML orchestration.
- Scale cloud infrastructure using AWS, Terraform, Docker, and Kubernetes to support complex machine learning workflows.
- Mentor junior engineers and establish best practices for well‑tested, maintainable code across a data‑intensive platform.
The Ideal Candidate:
- Has 5+ years of experience as a product‑focused engineer with strong fundamentals in API design and database modeling.
- Possesses a deep understanding of statically‑typed languages and experience deploying systems on modern cloud infrastructure.
- Demonstrates a STEM‑oriented mindset with a passion for solving complex, scientific problems through pragmatic engineering.
Senior Software Engineer (£95,000 – £115,000 + Equity) at Deep-tech AI materials startup in London employer: Jack & Jill
At our deep-tech AI materials startup in London, we pride ourselves on fostering a dynamic and innovative work culture that encourages high ownership and autonomy. Employees benefit from competitive salaries, equity options, and the opportunity to work at the forefront of AI and materials science, while also enjoying mentorship opportunities and a collaborative environment that supports personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (£95,000 – £115,000 + Equity) at Deep-tech AI materials startup in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI or materials science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, React, or Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer (£95,000 – £115,000 + Equity) at Deep-tech AI materials startup in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Software Engineer role. Highlight your experience with TypeScript, React, and Python, as well as any relevant projects that showcase your ability to work on cloud-based platforms.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background makes you a perfect fit. Don’t just repeat your CV; instead, share specific examples of how you've tackled challenges in previous roles, especially in AI or materials science.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical applications of your skills, especially those that demonstrate your understanding of machine learning and cloud infrastructure.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React, and Python, as these are key to the role. Brush up on your knowledge of AWS, Terraform, Docker, and Kubernetes too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex engineering challenges in the past. Be ready to discuss your thought process and the impact of your solutions, especially in relation to materials science or AI.
✨Demonstrate Leadership Qualities
Since this role involves mentoring junior engineers, think of instances where you've led a team or project. Highlight your ability to establish best practices and foster a collaborative environment.
✨Align with Their Vision
Research the company’s mission and recent projects. Be prepared to discuss how your experience aligns with their goals, particularly in bridging machine learning and materials science. Show genuine enthusiasm for their innovative approach!
