Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a multidisciplinary team to innovate AI and data platforms.
- Company: Global tech business in the UK with a focus on cutting-edge technology.
- Benefits: Salary between £110,000-£130,000 plus competitive bonuses.
- Why this job: Shape the future of AI and data while leading a talented team.
- Qualifications: Experience in ML delivery, AWS, and modern web frameworks required.
- Other info: Opportunity for significant impact and career advancement in a dynamic environment.
The predicted salary is between 110000 - 130000 £ per year.
A global technology business in the UK is seeking a Head of Engineering to lead a multidisciplinary team for an innovative AI and data platform. This role demands ownership over engineering roadmaps and architectural technical decisions while ensuring excellence throughout the design process.
The ideal candidate will have significant experience in ML delivery, AWS cloud technologies, and modern web frameworks.
The position offers a salary between £110,000 and £130,000 based on experience, along with a competitive bonus package.
Engineering Lead — AI & Data Platform in Manchester employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Lead — AI & Data Platform in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to ML delivery and AWS cloud technologies. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your experience with modern web frameworks and how you've led teams to success in past projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining our innovative team.
We think you need these skills to ace Engineering Lead — AI & Data Platform in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Engineering Lead role. Highlight your experience in ML delivery, AWS cloud technologies, and any modern web frameworks you've worked with.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of your leadership in engineering projects and how you've driven innovation in AI and data platforms.
Showcase Your Technical Expertise: In your application, don't shy away from showcasing your technical skills. Mention any relevant projects or achievements that demonstrate your ownership over engineering roadmaps and architectural decisions.
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!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in ML delivery, AWS cloud technologies, and modern web frameworks. Brush up on the latest trends and be ready to discuss how you've applied these technologies in your previous roles.
✨Showcase Your Leadership Skills
As an Engineering Lead, you'll need to demonstrate your ability to lead a multidisciplinary team. Prepare examples of how you've successfully managed teams, resolved conflicts, and driven projects to completion.
✨Prepare for Technical Questions
Expect in-depth technical questions about engineering roadmaps and architectural decisions. Practice articulating your thought process and decision-making criteria when it comes to design excellence.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company’s vision for the AI and data platform, or how they measure success in engineering projects. This shows your genuine interest and strategic thinking.
