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- Tasks: Lead the design of innovative features using TypeScript, React, and Python for AI-driven materials.
- Company: Exciting deep-tech AI startup with strong university ties and a dynamic team.
- Benefits: Competitive salary, equity options, and high autonomy in your role.
- Why this job: Join a fast-growing team at the forefront of AI and materials science.
- Qualifications: 5+ years in product-focused engineering with expertise in cloud infrastructure.
- Other info: Opportunity to shape product direction and work on complex scientific challenges.
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 performance visual interfaces.
Location: London, UK
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.
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 (£95k–£115k + Equity) at Deep-tech AI materials 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 Senior Software Engineer (£95k–£115k + Equity) at Deep-tech AI materials startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript, React, and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud infrastructure. Practice common algorithms and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. Tailor your application to highlight your experience with machine learning and cloud technologies to catch our eye.
We think you need these skills to ace Senior Software Engineer (£95k–£115k + 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 passionate about AI and materials science. Share specific examples of how you've tackled complex engineering problems in the past and how you can contribute to our mission at the startup.
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 the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity to join our innovative team!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, React, and Python, as these are crucial for the role. Brush up on your knowledge of AWS, Terraform, Docker, and Kubernetes too, as you might be asked to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your experience in tackling complex engineering challenges. Think about specific instances where you’ve applied your STEM-oriented mindset to solve scientific problems, and be ready to discuss your thought process.
✨Understand the Company’s Vision
Research the startup's mission and recent developments in AI and materials science. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the role and the company.
✨Prepare Questions for Them
Have a list of insightful questions ready to ask during the interview. This could include inquiries about their architectural decisions or how they envision the future of their SaaS platform. It shows you’re engaged and thinking critically about the role.
