Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Software Engineer
✨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 to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past experiences leading teams and developing AI solutions. Practice common interview questions and have a few questions of your own ready to ask.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead AI Software Engineer
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. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this is a hands-on role, make sure to highlight your technical expertise in Python, AI/ML frameworks, and cloud infrastructure. We’re looking for someone who can not only lead but also get their hands dirty with code!
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 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
Since this role involves mentoring and managing a team, prepare examples of how you've led engineers in previous positions. Highlight your approach to fostering collaboration and innovation within your team.
✨Understand the Company’s Product
Take some time to research the company’s AI-powered automation platform. Familiarise yourself with its features and think about how you could contribute to its development. This will show your genuine interest and help you ask insightful questions.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving scenarios during the interview. Practice coding challenges and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to tackle real-world problems.