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For Companies At a Glance
- Tasks: Architect and develop AI solutions, focusing on both frontend and backend excellence.
- Company: Join a well-funded seed-stage AI startup in the vibrant Old Street area of London.
- Benefits: Enjoy competitive salary, equity options, health insurance, and 25 days of paid vacation.
- Why this job: Shape the future of AI while collaborating with a passionate team in a dynamic environment.
- Qualifications: 3+ years in software engineering, with strong skills in Python, JavaScript, and AI applications.
- Other info: This is an on-site role; no agencies, only direct applications.
The predicted salary is between 43200 - 72000 £ per year.
About the Role ( No Agencies – only direct applications )
As a Senior Software Engineer (Full-Stack) at our seed-stage AI startup based in Old Street, London, you will:
Architect and develop comprehensive solutions for our AI applications, guiding projects from proof-of-concept through to production.
Frontend Excellence: Create responsive and intuitive front-end experiences that enhance user interaction and satisfaction.
Backend Excellence: Develop and maintain robust backend systems, ensuring high performance, scalability, and reliability.
AI Integration: Utilize and master AI platforms such as OpenAI, Anthropic, Gemini, etc., Prototype Building: Rapidly develop prototypes to test and iterate on new ideas, ensuring swift progression from concept to viable product.
Product Collaboration: Work closely with the team on product strategy, UX design, and integrating machine learning models.
A degree in Computer Science, Machine Learning, Mathematics, Statistics, or a related field.
~ 3+ years of software engineering experience working on complex systems.
~ At least 1 year of experience working with AI applications in a startup or leading tech company.
~ Strong proficiency in Python for backend development.
~ Solid expertise in JavaScript, TypeScript, React for frontend development.
~ Experience with DevOps practices and CI/CD pipelines.
~ Proven success in building products from the ground up within a dynamic, early-stage environment.
Experience with additional AI tools and frameworks.
Key Qualities
Entrepreneurial Spirit: Self-starter who takes full responsibility for features or entire products, with a passion for building impactful solutions.
Agile Development: Competitive Compensation: Attractive salary and meaningful equity (EMI share options)
Comprehensive Benefits: Pension scheme and health insurance coverage
Generous Time Off: 25 days of paid vacation plus National Holidays ️
Impactful Role: Opportunity to shape the direction of an exciting AI startup
On-Site Collaboration: Work alongside a passionate team in our vibrant Old Street, London office.
Location: Seed-stage AI startup based in Old Street, London (on-site role).
Well-funded by top venture capital firms and angel investors.
Passionate about leveraging AI to create transformative solutions.
London onsite role, Old Street area, and have the legal right to work in the UK.
****No Agencies – only direct applications****
Senior Software Developer - Machine Learning employer: Skippr
Contact Detail:
Skippr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Developer - Machine Learning
✨Tip Number 1
Familiarize yourself with the latest AI platforms like OpenAI and Anthropic. Being able to discuss your experience or knowledge of these tools during the interview will show that you're proactive and well-prepared.
✨Tip Number 2
Highlight any previous experience you have in a startup environment. Share specific examples of how you've contributed to building products from scratch, as this aligns perfectly with our entrepreneurial spirit.
✨Tip Number 3
Demonstrate your full-stack capabilities by preparing to discuss both frontend and backend projects you've worked on. Be ready to explain your approach to creating responsive user interfaces and robust backend systems.
✨Tip Number 4
Show your understanding of Agile development practices. Discuss how you've successfully collaborated with teams in fast-paced environments, as this is crucial for thriving in our dynamic startup culture.
We think you need these skills to ace Senior Software Developer - Machine Learning
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description. Understand the key responsibilities and required skills, especially in AI applications, software engineering, and the specific technologies mentioned like Python and JavaScript.
Tailor Your CV: Customize your CV to highlight relevant experience in software development, particularly in AI and full-stack roles. Emphasize your entrepreneurial spirit and any experience in startup environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your ability to contribute to a seed-stage startup. Mention specific projects or experiences that align with the company's goals and values.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio showcasing relevant projects, especially those involving AI integration or full-stack development. This will demonstrate your practical skills and experience.
How to prepare for a job interview at Skippr
✨Showcase Your AI Knowledge
Make sure to highlight your experience with AI platforms like OpenAI and Anthropic. Be prepared to discuss specific projects where you've integrated machine learning models, as this will demonstrate your hands-on expertise.
✨Demonstrate Full-Stack Proficiency
Since the role requires both frontend and backend skills, be ready to talk about your experience with Python for backend development and JavaScript/TypeScript for frontend. Share examples of how you've built responsive and intuitive user interfaces.
✨Emphasize Your Startup Experience
Discuss your previous roles in startup environments, focusing on how you contributed to building products from the ground up. Highlight your ability to adapt quickly and take ownership of features or entire products.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and coding abilities. Brush up on algorithms, data structures, and system design principles, as these are likely to come up during the interview.
