At a Glance
- Tasks: Shape AI design and deployment in a live cybersecurity product 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 and influence in a dynamic, collaborative team.
- Why this job: Make a real impact in AI R&D while solving complex problems.
- Qualifications: Strong AI/ML engineering skills and experience in production environments.
The predicted salary is between 60000 - 80000 £ 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:
- 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.
Artificial Intelligence Engineer in Manchester employer: Prism Digital
Prism Digital is an exceptional employer that values innovation and collaboration, offering a dynamic remote work environment where you can thrive as a WordPress Developer. With a strong focus on employee growth, we provide opportunities for skill enhancement and career advancement while working on a high-traffic platform that reaches millions. Join us to be part of a supportive team that encourages creativity and values your contributions to our success.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or cloud platforms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how you've tackled challenges in AI engineering. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and genuinely interested in joining our team. Plus, it gives you a direct line to us, making it easier to stand out.
We think you need these skills to ace Artificial Intelligence Engineer in Manchester
Some tips for your application 🫡
Show 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. Be specific about your projects and the impact they had!
Tailor Your Application:Don’t just send a generic CV and cover letter. We’re looking for candidates who can connect their skills to our needs in cybersecurity and AI. Take the time to align your experience with the job description and show us why you’re the perfect fit.
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point and showcases your strengths.
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 this exciting stage of our AI journey!
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 real-world applications and your hands-on experience with AI projects. They want someone who can build and deliver, so prepare examples of your work that showcase your engineering capabilities.
✨Showcase Your Python Skills
Since Python development is key for this role, be prepared to talk about your experience with it. Bring specific examples of projects where you've used Python to develop scalable services or APIs. If you can, highlight any cloud platform experience you've had with AWS, Azure, or GCP.
✨Demonstrate Problem-Solving Abilities
This role involves tackling complex problems, so think of scenarios where you've successfully navigated ambiguity. Share how you approached these challenges and the impact of your solutions. They’ll appreciate your ability to think critically and creatively.
✨Communicate Effectively
Strong communication skills are a must, especially since you'll be working closely with developers and stakeholders. Practice explaining your technical ideas clearly and concisely. Being able to convey complex concepts in an understandable way will set you apart.
