At a Glance
- Tasks: Lead and build an AI Engineering team, delivering cutting-edge AI solutions.
- Company: Dynamic AI engineering consultancy at the forefront of enterprise AI programmes.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join at a pivotal growth stage and make a significant impact.
- Why this job: Shape the future of AI while working with top-tier enterprise clients.
- Qualifications: Experience in AI platforms, consulting, and leading technical teams.
The predicted salary is between 180000 - 200000 £ per year.
I’m working with an AI engineering consultancy delivering some of the most exciting enterprise AI programmes in the UK. They’re looking for a Head of AI Engineering to build and lead their AI Engineering capability, partnering with enterprise customers to design, deploy and scale production AI systems.
This is a unique opportunity to join at a pivotal stage of growth. Rather than inheriting an established function, you’ll build an AI Engineering organisation from the ground up, shape the company’s technical direction and work on cutting-edge AI deployments for some of the world’s largest organisations.
The Opportunity
As Head of AI Engineering, you’ll lead a growing engineering organisation, combining strategic leadership with hands-on technical oversight. You’ll work closely with enterprise customers to deliver production-ready Generative AI and LLM solutions, designing scalable architectures and intelligent agent systems that solve complex business challenges. You’ll establish engineering standards, delivery methodologies and best practices while hiring, mentoring and developing a high-performing engineering team. Working alongside the senior leadership team, you’ll help define the company’s AI strategy and ensure customers successfully deploy and scale frontier AI technologies in production.
Skills and experience
- Delivering production AI, LLM or Generative AI platforms
- Building AI applications using modern foundation models
- Working in consulting, professional services or customer-facing engineering environments
- Delivering technology into large enterprise organisations
- Leading senior technical conversations with executives and stakeholders
If you’re looking for a role that combines technical leadership, customer engagement and the opportunity to shape how frontier AI is delivered at scale, we’d love to hear from you.
Head of AI Engineering employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI Engineering
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Data Science Festival or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Data Science Festival.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Data Science Festival.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Data Science Festival that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Head of AI Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Data Science Festival.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Data Science Festival and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Data Science Festival
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Data Science Festival uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
