At a Glance
- Tasks: Lead AI projects from concept to production in a dynamic cybersecurity environment.
- Company: Join a growing tech business at the forefront of AI innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: High ownership role with exciting R&D projects and career advancement potential.
- Why this job: Shape the future of AI in cybersecurity and make a real impact.
- Qualifications: Strong AI/ML engineering experience and Python development skills required.
The predicted salary is between 70000 - 90000 £ per year.
You will join a growing technology business at a pivotal stage in its AI journey. These are the first dedicated AI engineering hires in the team, so you will have the chance to shape how AI is designed, built, and deployed across a live cybersecurity product environment. Initially, your focus will sit within the cyber division, where you will work on AI-driven initiatives tied to vulnerability management, penetration testing workflows, remediation checking, intelligent reporting, and automation. Longer term, there is scope for the role to expand into wider product areas across the group.
This is a hands-on engineering role with real ownership. You will take AI projects from concept through to production, not just build prototypes and hand them over. You will be expected to design, develop, deploy, monitor, and maintain scalable AI services that integrate into existing platforms via APIs and microservices.
What They’re Looking For:
- The key requirement is strong, real-world AI engineering capability. They need someone who can build and deliver, not someone who has only experimented on the edges of AI.
- You will ideally bring:
- AI/ML engineering experience in production environments
- LLM development and orchestration experience
- Python development
- Cloud platform experience across AWS or Azure or GCP
- End-to-end delivery experience from idea and prototyping through to deployment and support
- Experience building scalable services and APIs
- Strong communication skills and the ability to work closely with developers and stakeholders
- A self-starting approach with the confidence to own your workload and move initiatives forward
- Cybersecurity knowledge is not essential. That can be taught. The non-negotiable is deep AI and machine learning expertise.
What You’ll Work With:
You will work across a modern AI and product environment, with plenty of room to influence standards and tooling as the function matures. Likely technologies and themes include:
- Python development
- OpenAI models
- Anthropic models
- AWS Bedrock
- LLM workflows
- Agentic AI systems
- Machine learning algorithms
- API-led microservices
- Cloud platforms
- Monitoring, management, and alerting
- Vulnerability management workflows
- AI-assisted report generation
- Security testing automation
The current product direction is centred on building AI capabilities as services outside the main platform, then integrating them back in via APIs. That means the work has a genuine R&D feel, but always with a clear path into production.
Nice to Haves:
- These are helpful, but not essential:
- Cybersecurity experience
- Penetration testing exposure
- Vulnerability management knowledge
- Agent-based system design
- Content analysis or anomaly detection experience
- MLOps understanding
- Enterprise environment experience
- Change control awareness
- KPI or ROI tracking experience
- Leadership or mentoring capability
- Product or solutions thinking
Why Join / Projects?
You will be joining very early in the AI build-out, which means high ownership, a broad remit, and the chance to make a visible impact. Early projects are expected to include:
- AI-powered remediation checking following penetration tests
- Worker or agent-style services that perform specific testing tasks and report findings back
- LLM-powered reporting and consultant support tools
- AI modules for external, web, cloud, and later internal testing use cases
- Statistical analysis and machine learning models for wider business applications over time
- Reusable AI services that can eventually support multiple products and business units
This role will suit someone who enjoys solving complex problems, working in ambiguity, and building things properly from the ground up. There is likely to be a blend of seniority across the hires, so candidates with leadership potential or experience guiding others will be particularly valuable. You will report initially into the cyber product and technology function, with close collaboration across product, architecture, engineering, and technical leadership.
Lead AI Engineer in Warrington employer: Prism Digital
Join a pioneering technology business at the forefront of AI innovation in cybersecurity, where you will have the unique opportunity to shape the future of AI engineering. With a strong emphasis on employee growth and a collaborative work culture, you will enjoy the flexibility of remote work while also engaging in meaningful projects that have a direct impact on the company's success. The company fosters an environment that encourages creativity and ownership, making it an excellent employer for those looking to make a significant contribution in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your end-to-end delivery experience. This will give you an edge when discussing your capabilities during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and cloud platform knowledge. Be ready to discuss your real-world AI engineering experiences and how you've tackled challenges in production environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our exciting AI journey.
We think you need these skills to ace Lead AI Engineer in Warrington
Some tips for your application 🫡
Show Off Your AI Skills:Make sure to highlight your real-world AI engineering experience in your application. We want to see how you've built and delivered AI solutions, not just dabbled in them. Use specific examples to demonstrate your expertise!
Tailor Your Application:Don’t just send a generic CV and cover letter. Tailor your application to reflect the key requirements from the job description. Mention your experience with LLMs, Python development, and cloud platforms like AWS or Azure to catch our eye!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and fluff. Make it easy for us to see why you’re the perfect fit for the Lead AI Engineer role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Prism Digital
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge. Be ready to discuss your real-world experience with LLMs, Python development, and cloud platforms like AWS or Azure. They want someone who can build and deliver, so have examples of your past projects at the ready!
✨Showcase Your Problem-Solving Skills
This role is all about solving complex problems in a live cybersecurity environment. Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight your hands-on experience in taking projects from concept to production.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining your technical work in simple terms, as you'll need to collaborate closely with developers and stakeholders. Think about how you can convey complex ideas effectively during the interview.
✨Demonstrate Ownership and Initiative
They’re looking for a self-starter who can own their workload. Be prepared to share examples of how you've taken the lead on projects or initiatives in the past. Show them that you’re confident in moving things forward and making an impact!
