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For Companies At a Glance
- Tasks: Lead a dynamic team in AI-driven engineering and data initiatives.
- Company: Innovative AI company with a fully remote work culture.
- Benefits: Competitive salary up to £130,000 and opportunities for professional growth.
- Why this job: Shape the future of AI technology and drive impactful projects.
- Qualifications: Proven leadership in data engineering and a passion for AI.
- Other info: Collaborative environment with a focus on continuous improvement.
The predicted salary is between 78000 - 156000 £ per year.
Location: Fully remote
Salary: up to £130,000
I'm partnered with an AI driven company who are hiring a Head of Engineering.
What You’ll Do
- Lead a 30-person multidisciplinary organisation across Data Engineering, BI, and Data Science
- Own and evolve the engineering and data roadmap in partnership with the CTO
- Drive architecture, scalability, and platform evolution for enterprise clients
- Extend existing systems into new AI-driven search and intelligence use cases
- Champion engineering best practices, delivery standards, and continuous improvement
- Act as a bridge between technical teams, product, and leadership
- Provide leadership across ML, GenAI, and distributed systems initiatives
What We’re Looking For
- Proven experience leading data and/or engineering organisations at scale
- Strong background in data engineering, with close collaboration with data science and MLOps
- Strategic mindset with the ability to go deep technically when required
- Solid understanding of engineering processes, architecture, and modern delivery practices
- Genuine interest in AI, ML, and GenAI systems
Interview Process
- CTO interview
- Meet the wider team
Head of Engineering in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and engineering space. Let them know you're on the lookout for opportunities, especially in AI and data engineering. You never know who might have the inside scoop on a role that’s perfect for you!
✨Tip Number 2
Prepare for those interviews! Research the company’s projects and their approach to AI and ML. Be ready to discuss how your experience aligns with their needs, especially around leading teams and driving engineering best practices.
✨Tip Number 3
Showcase your leadership skills! When chatting with potential employers, highlight your experience in managing multidisciplinary teams and how you've successfully bridged gaps between technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, including Head of Engineering positions. It’s a great way to get noticed and show your enthusiasm for joining our innovative team.
We think you need these skills to ace Head of Engineering in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of Engineering role. Highlight your leadership experience in data engineering and any relevant projects you've led, especially those involving AI and ML.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about engineering and AI. Share specific examples of how you've driven architectural changes or improved processes in previous roles to show us what you can bring to the table.
Showcase Your Technical Skills: Don’t shy away from getting technical! We want to see your understanding of engineering processes and architecture. Mention any tools or methodologies you’ve used that are relevant to the role, especially in data engineering and MLOps.
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 us you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
As a Head of Engineering, you'll need to demonstrate a solid understanding of engineering processes and architecture. Brush up on your knowledge of data engineering, ML, and GenAI systems. Be ready to discuss specific projects where you've led teams or implemented best practices.
✨Showcase Your Leadership Skills
This role requires strong leadership across multidisciplinary teams. Prepare examples of how you've successfully led diverse groups, driven architectural changes, or championed continuous improvement. Highlight your ability to bridge the gap between technical teams and leadership.
✨Align with Their Vision
Understand the company's mission and how they leverage AI in their products. Be prepared to discuss how you can contribute to their engineering and data roadmap. Show genuine interest in their AI-driven initiatives and be ready to share your thoughts on future trends in the industry.
✨Prepare for Team Dynamics
You'll be meeting the wider team, so it's crucial to demonstrate your collaborative spirit. Think about how you can foster a positive team environment and encourage innovation. Be ready to discuss how you handle conflicts and promote engineering best practices within a team setting.
