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For Companies At a Glance
- Tasks: Lead engineering teams and drive innovative AI-driven solutions for enterprise clients.
- Company: Market-leading tech company at the forefront of AI and data intelligence.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Why this job: Shape the future of AI in a dynamic, forward-thinking environment.
- Qualifications: Proven leadership in engineering and expertise in data-driven platforms.
- Other info: Join a growing team and influence modern AI-assisted engineering practices.
The predicted salary is between 78000 - 156000 ÂŁ per year.
Own the engineering engine behind enterprise search intelligence, where GenAI, massive data, and leadership at scale collide. This is an opportunity to join and help scale a marketâleading technology business operating at the intersection of largeâscale data, AI, and the future of search. The company works with global enterprise clients, delivering missionâcritical intelligence that directly informs commercial decisionâmaking at scale. It is already a mature, revenueâgenerating platform, but is now entering a significant growth phase as search evolves beyond traditional engines into LLMâdriven experiences.
AI and automation are embedded into both the product and the way engineering teams operate, creating a genuinely forwardâthinking environment. For the right leader, this offers the chance to shape the next phase of a proven business while influencing how modern, AIâenabled software organisations are built.
Role and Responsibilities
- The role is responsible for leading multiple engineering teams and owning endâtoâend delivery across a complex, dataâdriven platform used by enterprise customers.
- You will set technical direction and guide architecture across distributed systems, largeâscale data processing (Scala, Spark, Databricks), machine learning pipelines, and cloudânative infrastructure on AWS.
- A core focus is driving highâquality execution through strong engineering practices including CI/CD, observability, DevOps, and reliable production operations.
- You will partner closely with Product, Data Science, and Analytics to turn advanced models and insights into scalable, customerâfacing solutions, while overseeing web development built on TypeScript and React.
- Alongside handsâon technical leadership, the role carries full ownership of team growth, performance, and shaping how modern AIâassisted engineering is embedded across the organisation.
Interview Process
- Introduction Conversation with CTO
- Discussion with Team
If youâre looking to shape a roadmap within the AI space, working with industry leaders, apply now!
Head of Engineering in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Head of Engineering in London
â¨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at tech meetups. We all know that sometimes itâs not just what you know, but who you know that can get you in the door.
â¨Tip Number 2
Prepare for those interviews! Research the company and its tech stack, especially around AI and data processing. We want to see you shine when discussing how you can lead engineering teams and drive innovation.
â¨Tip Number 3
Show off your leadership skills! Be ready to share examples of how you've successfully managed teams and projects. We love hearing about your hands-on experience with CI/CD and cloud-native infrastructure.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets the attention it deserves. Plus, weâre excited to see how you can help shape the future of AI-driven engineering!
We think you need these skills to ace Head of Engineering in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Engineering role. Highlight your leadership in engineering, experience with large-scale data processing, and any work with AI technologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this opportunity. Share specific examples of how you've driven high-quality execution in previous roles and how you envision shaping the future of AI-driven software.
Showcase Your Technical Expertise: In your application, donât shy away from detailing your technical skills. Mention your experience with Scala, Spark, Databricks, and cloud-native infrastructure on AWS, as these are key to the role.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity to lead in the AI space!
How to prepare for a job interview at Harnham
â¨Know Your Tech Inside Out
As a Head of Engineering, you'll need to demonstrate a deep understanding of large-scale data processing and cloud-native infrastructure. Brush up on your knowledge of Scala, Spark, Databricks, and AWS. Be ready to discuss how you've applied these technologies in past projects.
â¨Showcase Leadership Experience
This role involves leading multiple engineering teams, so it's crucial to highlight your leadership skills. Prepare examples of how you've successfully guided teams through complex projects, focusing on your approach to fostering collaboration and driving high-quality execution.
â¨Align with Company Vision
Understand the company's mission and how they leverage AI and automation. Be prepared to discuss how you can contribute to their growth phase and shape the future of AI-enabled software. This shows you're not just looking for a job, but are genuinely interested in their vision.
â¨Prepare for Technical Discussions
Expect technical discussions during the interview process. Brush up on CI/CD practices, observability, and DevOps principles. You might be asked to solve problems or provide insights on engineering challenges, so practice articulating your thought process clearly.
