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- Tasks: Lead software architecture and delivery for web applications and ML infrastructure.
- Company: Innovative agricultural tech firm in Greater London.
- Benefits: Exciting role with opportunities to drive innovation in agriculture.
- Why this job: Make a real impact in the agricultural sector while mentoring a diverse team.
- Qualifications: 7+ years in software development with expertise in web applications.
- Other info: Join a dynamic team focused on cutting-edge technology and sustainability.
The predicted salary is between 54000 - 84000 £ per year.
An innovative agricultural technology firm in Greater London is looking for a Head of Software Development. In this strategic role, you will lead the architecture and delivery of software for web applications and ML infrastructure, mentoring a diverse team while ensuring seamless integration with hardware systems.
The ideal candidate has over 7 years of experience in software development and proven expertise in web application development. This position offers an exciting opportunity to drive innovation in the agricultural sector.
Chief Software Architect & ML Leader in London employer: ZELP LTD
Contact Detail:
ZELP LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Chief Software Architect & ML Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the agricultural tech space and let them know you're on the hunt for a role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Showcase your expertise! When you get the chance to chat with potential employers, highlight your experience in software development and ML. Share specific projects you've led that demonstrate your skills and how they align with the company's goals.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in web applications and ML infrastructure. Be ready to discuss how you can drive innovation in their tech stack and mentor their team effectively.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Chief Software Architect & ML Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and web applications. We want to see how your skills align with the role of Chief Software Architect & ML Leader, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about agricultural technology and how your leadership experience can drive innovation. We love seeing genuine enthusiasm for the industry.
Showcase Your Team Leadership Skills: Since this role involves mentoring a diverse team, make sure to highlight your leadership style and any relevant experiences. We’re looking for someone who can inspire and guide others, so share examples of how you’ve done this in the past.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at ZELP LTD
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest web application technologies and machine learning frameworks. Brush up on your past projects and be ready to discuss specific challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Chief Software Architect, you'll be leading a team. Prepare examples of how you've mentored others and fostered collaboration. Highlight any successful projects where your leadership made a difference.
✨Understand the Business Context
Research the agricultural technology sector and understand how software can drive innovation in this field. Be prepared to discuss how your technical decisions can impact business outcomes and improve efficiency.
✨Prepare for Technical Questions
Expect in-depth technical questions related to software architecture and ML infrastructure. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders.
