Lead Edge Engineer – Industrial AI for Climate Tech (Flexible)

Lead Edge Engineer – Industrial AI for Climate Tech (Flexible)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Gigaton

At a Glance

  • Tasks: Lead the design of AI solutions for industrial applications and mentor a dynamic team.
  • Company: Gigaton, a forward-thinking company focused on climate tech in Greater London.
  • Benefits: Competitive salary, flexible working arrangements, and opportunities for professional growth.
  • Other info: Join a passionate team dedicated to innovative climate solutions.
  • Why this job: Make a real difference in reducing carbon footprints while working with cutting-edge technology.
  • Qualifications: Strong Python skills, experience in plant automation, and edge computing knowledge.

The predicted salary is between 60000 - 80000 £ per year.

Gigaton in Greater London is looking for a Lead Engineer (Edge) to spearhead the design and implementation of AI-powered solutions for industrial applications. This role involves mentoring, enhancing DevSecOps practices, and customer engagement to optimize operations and reduce carbon footprints.

The ideal candidate has strong Python skills, familiarity with plant automation, and experience with edge computing. The position offers a competitive salary and flexible working arrangements.

Lead Edge Engineer – Industrial AI for Climate Tech (Flexible) employer: Gigaton

At Gigaton, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through mentorship opportunities and a focus on enhancing DevSecOps practices, all while providing flexible working arrangements that support a healthy work-life balance. Join us in making a meaningful impact on climate tech as we develop cutting-edge AI solutions that not only optimise operations but also contribute to a sustainable future.

Gigaton

Contact Details:

Gigaton Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Edge Engineer – Industrial AI for Climate Tech (Flexible)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and edge computing. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on common technical questions and scenarios related to industrial AI. Practice explaining your thought process clearly, as communication is key in this role.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Lead Edge Engineer – Industrial AI for Climate Tech (Flexible)

Python
AI-powered Solutions
DevSecOps Practices
Customer Engagement
Plant Automation
Edge Computing
Design and Implementation

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your Python skills and any experience you have with plant automation and edge computing. We want to see how your background aligns with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your experience can help us design and implement AI-powered solutions that reduce carbon footprints. It shows you’re genuinely interested!

Be Yourself:We love authenticity! Let your personality shine through in your application. Share your passion for climate tech and how you envision contributing to our mission at Gigaton.

Apply Through Our Website:Don’t forget to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the Lead Edge Engineer position. We can’t wait to hear from you!

How to prepare for a job interview at Gigaton

Know Your Tech Inside Out

Make sure you brush up on your Python skills and understand the latest in edge computing. Be ready to discuss specific projects where you've implemented AI solutions, especially in industrial settings. This will show your technical prowess and how you can contribute to their goals.

Showcase Your Mentoring Skills

Since this role involves mentoring, think of examples where you've guided others or improved team practices. Prepare to share how you’ve enhanced DevSecOps in previous roles, as this will demonstrate your leadership capabilities and commitment to team success.

Engage with Their Mission

Gigaton is focused on reducing carbon footprints, so it’s crucial to express your passion for climate tech. Research their projects and be ready to discuss how your work aligns with their mission. This shows that you’re not just looking for a job, but are genuinely interested in making a difference.

Prepare Questions That Matter

Think of insightful questions to ask during the interview. Inquire about their current challenges in implementing AI solutions or how they envision the future of plant automation. This not only shows your interest but also helps you gauge if the company is the right fit for you.