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- Tasks: Lead engineering teams and drive AI-driven software development across a complex platform.
- Company: A leading UK technology firm with a focus on innovation.
- Benefits: Remote work, competitive salary, and the chance to shape AI technology.
- Why this job: Influence the future of AI in a dynamic and forward-thinking environment.
- Qualifications: Proven leadership in engineering and experience with AI technologies.
- Other info: Opportunity for significant impact and career advancement.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology firm in the UK is seeking a Head of Engineering to lead multiple teams and drive end-to-end delivery across a complex, data-driven platform. This remote role offers the chance to set technical direction and influence AI-enabled software development at scale. You will collaborate with Product and Data Science teams, focusing on high-quality execution and modern engineering practices. If you are ready to shape the AI roadmap in a forward-thinking environment, apply now!
Remote: Lead Engineering for AI-Driven Enterprise Search in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote: Lead Engineering for AI-Driven Enterprise Search in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and engineering. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to engineering leadership. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote: Lead Engineering for AI-Driven Enterprise Search in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it drives your work. Share specific examples of projects or experiences that highlight your interest in AI-driven solutions.
Highlight Leadership Experience: As a Lead Engineer, we want to know about your leadership style. Include details about how you've successfully led teams, managed projects, and influenced technical direction in previous roles.
Tailor Your Application: Make sure your application speaks directly to the job description. Use keywords from the posting to demonstrate that you understand what we're looking for and how your skills align with our needs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI technologies and engineering practices. Brush up on your knowledge of data-driven platforms and be ready to discuss how you've applied these in past roles.
✨Showcase Leadership Experience
As a Lead Engineer, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've driven projects from start to finish and how you've influenced team dynamics positively.
✨Collaborate Like a Pro
Since this role involves working closely with Product and Data Science teams, think of specific instances where you’ve successfully collaborated across departments. Highlight your communication skills and how they’ve contributed to project success.
✨Prepare for Scenario Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to AI and software development.
