Head of Artificial Intelligence in Oxford

Head of Artificial Intelligence in Oxford

Oxford Full-Time 72000 - 88000 £ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead and develop cutting-edge AI solutions, guiding a talented team.
  • Company: Innovative tech firm focused on real-world AI applications.
  • Benefits: Competitive salary, bonus, equity, and fully remote work.
  • Other info: Join a dynamic team with significant growth opportunities.
  • Why this job: Shape the future of AI while making a tangible impact.
  • Qualifications: Strong background in software engineering and AI leadership.

The predicted salary is between 72000 - 88000 £ per year.

I'm working on a key leadership hire to build and lead its Applied AI capability. We're looking for someone who can combine deep technical AI expertise, client leadership and people management, while helping shape the future direction and commercial growth of an established engineering capability.

You'll lead a team delivering real-world AI solutions, working across Generative AI, Agentic AI, Machine Learning and intelligent automation. Crucially, these aren't innovation-lab projects that stop at proof of concept. The focus is on taking AI from an initial idea through to secure, reliable production systems that deliver measurable business outcomes.

The role

  • You'll have overall responsibility for the technical direction and development of the Applied AI capability.
  • Leading senior client conversations around AI strategy and implementation.
  • Taking AI opportunities from discovery through to production.
  • Leading engineers building AI systems from the ground up.
  • Setting technical direction across Generative, Agentic and Predictive AI.
  • Remaining close enough to engineering to challenge architecture and solution design.
  • Leading important client engagements and remaining approximately 20–30% billable.
  • Developing and mentoring senior technical people.
  • Building and scaling the team as demand increases.
  • Working alongside Sales and Pre-Sales to shape and win new engagements.
  • Contributing to proposals, solution design and statements of work.
  • Developing repeatable AI offerings and technical accelerators.
  • Driving innovation and evaluating emerging AI technologies.
  • Acting as a senior technical voice with both executive and engineering stakeholders.
  • Helping the wider organisation adopt AI effectively.

Who we're looking for

The ideal person will have grown from a strong Software Engineering, Data, Machine Learning or Data Science background before progressing into architecture, technical leadership or management. You should still be highly technically literate. We're not looking for someone who has spent the last several years entirely removed from engineering.

You'll ideally bring experience across areas such as:

  • Production LLM applications.
  • Generative AI.
  • Agentic AI and agent orchestration.
  • RAG.
  • Machine Learning.
  • AI architecture.
  • Cloud-based AI platforms.
  • MLOps / LLMOps.
  • Evaluation and observability.
  • AI governance.
  • Software Engineering and system design.

Specific tooling is less important than demonstrating that you've designed and delivered AI systems that people actually use in production. You'll also need to be comfortable operating in front of clients. That could mean discussing business value and AI strategy with senior leadership in the morning, reviewing an architecture with engineers in the afternoon, and helping shape a proposal for a new engagement later that day.

You don't necessarily need to have previously run an entire AI practice either. This could suit an existing Head of AI / Practice Lead, but we're also interested in ambitious Principal AI Engineers, AI Architects, Engineering Managers and senior technical leaders who are ready to take the next step. What's important is that you can demonstrate technical credibility, leadership, client impact and an entrepreneurial approach to building something.

Package

  • £120,000–£160,000 base salary.
  • Up to 30% bonus.
  • Equity.
  • Fully remote within the UK.
  • Brilliant benefits package.
  • Significant autonomy to shape and grow the capability.

UK right to work is required and sponsorship isn't available for this position. If this sounds like you then please click apply now!

Head of Artificial Intelligence in Oxford employer: develop

As a Central Government Sector Leader at our client, you will join an innovative AI-native consultancy that prioritises employee growth and offers a dynamic work culture. With a competitive salary and substantial bonus potential, you will have the opportunity to shape the future of public sector consulting while enjoying a flexible work environment in Farringdon, fostering collaboration and creativity among talented professionals dedicated to making a meaningful impact.

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Contact Details:

develop Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Head of Artificial Intelligence in Oxford

Join Local Tech Meetups

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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 develop.

Tap into Online Developer Communities

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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 develop 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 Artificial Intelligence in Oxford

Technical AI Expertise
Client Leadership
People Management
Generative AI
Agentic AI
Machine Learning
Intelligent Automation

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 develop.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at develop 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 develop

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 develop 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.