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- Tasks: Lead engineering teams to deliver cutting-edge data processing and machine learning solutions.
- Company: High-growth tech business at the forefront of AI and data innovation.
- Benefits: Competitive salary, remote work, performance bonuses, and healthcare options.
- Why this job: Shape the future of technology while leading diverse, talented teams.
- Qualifications: Proven leadership in engineering with expertise in data systems and ML.
- Other info: Join a dynamic environment with opportunities for significant career growth.
The predicted salary is between 72000 - 108000 £ per year.
We are looking for a Head of Engineering to join a high-growth technology business operating at the forefront of large-scale data processing, machine learning and next-generation search experiences.
About the Role
In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. You will shape engineering strategy, strengthen execution and drive the organisation's evolution as AI-assisted development becomes central to how software is built. This is a hands‑on leadership position where you will set technical direction, coach engineering managers and oversee delivery across a diverse and deeply technical organisation.
Responsibilities
- Own the execution of the engineering roadmap across all product and platform areas
- Lead architectural direction for data processing, machine learning pipelines and web application development
- Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads
- Introduce and measure engineering KPIs
- Drive improvements in delivery processes, release quality and development efficiency
- Collaborate with Product to prioritise work and align delivery with business objectives
- Contribute to long-term technology strategy, tooling choices, and platform investments
Skills and Experience
- Proven experience leading multi‑team engineering organisations
- Strong background in distributed systems, large-scale data pipelines and ML model deployment
- Deep understanding of modern data stacks such as Spark, Databricks or cloud‑native architectures
- Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems
- Strong communication, organisation and stakeholder engagement skills
What is on Offer
- Salary of up to £150,000
- Fully remote working within the UK
- Performance‑based bonus structure
- Pension scheme and private healthcare options
This is just a brief overview of the role. To access the full details, simply apply with your CV and we’ll be in touch to discuss it further.
Head of Engineering employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in engineering roles. A personal introduction can make all the difference when you're aiming for that Head of Engineering position.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with large-scale data processing and machine learning. This will help you stand out during interviews and demonstrate your hands-on leadership skills.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication and stakeholder engagement skills. Being able to articulate your vision and strategy is key for a role like this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Head of Engineering. Highlight your experience with large-scale data processing and machine learning, and don’t forget to showcase your leadership skills across multiple teams.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific projects where you've led engineering teams and how you’ve driven improvements in delivery processes.
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your experience with modern data stacks like Spark or Databricks, and any relevant DevOps knowledge. This will help us understand your fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get in touch with you. We can’t wait to hear from you!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like distributed systems and large-scale data pipelines. Brush up on your knowledge of modern data stacks such as Spark and Databricks, as well as cloud-native architectures. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Leadership Skills
As a Head of Engineering, you'll need to demonstrate your ability to lead multiple teams effectively. Prepare examples from your past experiences where you've successfully managed engineering teams, driven improvements, or shaped technical direction. Highlight your coaching style and how you engage with stakeholders to align delivery with business objectives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making abilities. Think about scenarios where you had to introduce engineering KPIs or improve delivery processes. Be ready to explain your thought process and the outcomes of your decisions, as this will showcase your strategic thinking and hands-on leadership approach.
✨Align with Company Vision
Research the company’s mission and values, especially their focus on AI-assisted development. Be prepared to discuss how your vision aligns with theirs and how you can contribute to their long-term technology strategy. This shows that you’re not just looking for a job, but are genuinely interested in being part of their evolution.