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- Tasks: Lead and code AI/ML systems while mentoring a dynamic team.
- Company: Innovative SaaS company focused on AI-powered automation.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI technology and make a real-world impact.
- Qualifications: 5+ years in software engineering with AI/ML experience.
The predicted salary is between 80000 - 100000 £ per year.
An innovative SaaS company is looking for a hands-on Lead AI Software Engineer to drive the development of their AI-powered automation platform. This role combines technical leadership with active coding, shaping both product and team.
Key Responsibilities:
- Lead and contribute to the development of AI/ML systems.
- Architect scalable, reliable, and secure solutions.
- Mentor and manage a team of engineers.
- Collaborate with product and design teams to deliver impactful features.
- Drive innovation in AI integration and automation.
Requirements:
- 5+ years in software engineering, with experience in AI/ML or SaaS platforms.
- Strong technical skills (Python, AI/ML frameworks, Node.js, cloud infrastructure).
- Proven experience leading engineers in a fast-paced environment.
- Excellent problem-solving and communication skills.
- Passion for building products that solve real-world problems.
Lead AI Software Engineer in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or contributions to open-source. This is your chance to demonstrate your hands-on experience and technical prowess beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to discuss your past projects in detail. Practice common technical questions and be prepared to explain your thought process when solving problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Lead AI Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and SaaS platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our innovative team. Let us know what excites you about this role and our company.
Showcase Your Technical Skills: Since this is a hands-on role, make sure to highlight your technical skills, especially in Python and AI/ML frameworks. We love seeing examples of your coding prowess, so feel free to include links to your GitHub or any relevant projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Harrington Starr
✨Showcase Your Technical Skills
Make sure to brush up on your Python and AI/ML frameworks before the interview. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Demonstrate Leadership Experience
Prepare examples that highlight your experience in leading teams. Discuss how you've mentored engineers and driven innovation in previous roles. This will show that you're not just a coder but also a capable leader.
✨Understand the Company’s Product
Take some time to explore the company’s AI-powered automation platform. Familiarise yourself with its features and think about how you could contribute to its development. This knowledge will help you ask insightful questions during the interview.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Good communication is key in collaborative environments, so demonstrate your ability to convey ideas effectively.