At a Glance
- Tasks: Lead the development of a groundbreaking AI acceleration platform and mentor a talented engineering team.
- Company: Innovative deep-tech company focused on next-gen computing technology.
- Benefits: Competitive salary, equity, and comprehensive benefits package.
- Other info: Join a well-funded team tackling the biggest challenges in AI infrastructure.
- Why this job: Shape the future of AI with cutting-edge technology and make a real impact.
- Qualifications: Expertise in AI/ML, strong programming skills, and experience in high-performance environments.
The predicted salary is between 72000 - 88000 £ per year.
I'm working with an innovative deep-tech company developing next-generation computing technology designed to overcome some of the biggest performance and efficiency challenges facing modern AI. They're building a new class of AI acceleration platform that enables complex workloads to run faster, more efficiently, and at significantly lower cost than traditional approaches. This is an opportunity for a Head of AI to join a highly talented team to develop a breakthrough computing platform with the potential to transform large-scale AI deployment.
What they're looking for:
- AI/ML expertise - strong understanding of modern AI workloads, model deployment, inference, and optimisation
- Technical leadership - proven experience leading and mentoring high-performing engineering teams
- Software architecture - expertise designing scalable AI platforms, developer tools, and production-grade systems
- Cross-functional collaboration - comfortable working closely with hardware, systems, and product teams
- Strong programming skills - deep experience with Python and C/C++ in performance-critical environments
- ML infrastructure knowledge - familiarity with AI frameworks, compilers, runtimes, and tooling
- Relevant industry experience - background in AI infrastructure, high-performance computing, semiconductors, systems software, or deep-tech environments
- Team-building capability - experience hiring, developing, and scaling engineering organisations
Why consider it:
- Play a key role in bringing a groundbreaking compute platform to market
- Define the AI software strategy for a rapidly growing engineering organisation
- Influence product direction, technology decisions, and long-term roadmap planning
- Join a well-funded company tackling some of the most demanding challenges in AI infrastructure
- Competitive compensation package including salary, equity, and benefits
- Solve complex technical problems at the intersection of AI, systems engineering, and next-generation computing
Please contact Chris Amison for more information.
Head of AI in Oxford employer: Intellectual Capital Resources
Join a dynamic and innovative audio AI product company that prioritises employee growth and collaboration in a fully remote environment. With a strong focus on cutting-edge technology and a culture of mentorship, you'll have the opportunity to work alongside talented professionals while contributing to impactful projects that enhance sound experiences globally. Enjoy the flexibility of remote work, competitive benefits, and a commitment to fostering a supportive and inclusive workplace.
Contact Details:
Intellectual Capital Resources Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of AI in Oxford
✨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 Intellectual Capital Resources 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 Intellectual Capital Resources.
✨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 Intellectual Capital Resources.
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We think you need these skills to ace Head of AI in Oxford
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 Intellectual Capital Resources.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Intellectual Capital Resources 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 Intellectual Capital Resources
✨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 Intellectual Capital Resources 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.