AI Engineer
Belfast (Hybrid – 3 days in office) | Full-time
At a Glance
- Role: AI Engineer
- Location: Belfast – Hybrid (3 days in office)
- Employment Type: Full-time
- Experience: 4+ years software engineering | 2+ years AI/ML engineering
- Stack Highlights: Go or Java | LLMs | ML Platforms | Cloud-native
- Domain: Applied AI within a cloud security environment
Who You'll Work For
Our client operates in the cloud security space, building intelligent systems that protect organisations at scale. They are investing heavily in applied AI – not as an experiment, but as a core part of their product and platform strategy. The engineering culture is technically rigorous, cross-functional and genuinely collaborative, with AI, security and engineering teams working in close alignment. This is a high-impact environment where the work you do shapes both the product and the platform that powers it.
What You'll Be Doing
You'll work across the full lifecycle of AI-driven systems – from platform infrastructure through to production features. Your day-to-day will span:
- Building autonomous systems to automate complex security workflows end-to-end
- Developing and shipping AI-driven features into live production environments
- Contributing to an internal AI platform designed for scalable, reusable model deployment
- Working on adaptive models that learn and evolve from real customer environments
- Developing systems that correlate data across multiple sources to quantify and surface risk
- Contributing to AI-driven threat detection capabilities
- Collaborating closely with engineering, research and security teams
Your Impact
This is a role with meaningful reach. The systems you build will directly influence how security threats are detected, triaged and resolved – at scale, in real environments. You'll help shape the internal AI platform that other engineers build on, and your contributions to adaptive modelling and risk quantification will have lasting product impact. In a domain where the stakes are high, the engineering needs to match and you'll be central to making that happen.
What We're Looking For
Essential
- 4+ years of commercial software engineering experience
- 2+ years of dedicated AI or machine learning engineering experience
- Strong programming skills in Go or Java
- Hands-on experience working with LLMs and modern AI frameworks
- Experience building or contributing to ML platforms or internal AI tooling
- Demonstrated ability to work across complex, multi-source data environments
Desirable
- Experience in a security, threat intelligence or data-intensive product domain
- Familiarity with MLOps practices and model lifecycle management
- Exposure to autonomous agents, agentic workflows or tool-use patterns with LLMs
- Experience with cloud-native infrastructure (AWS, GCP or Azure)
- A track record of shipping AI features into high-reliability production systems
What's In It For You
- Work at the forefront of applied AI in a genuinely complex, high-stakes domain
- High-impact role with direct influence over intelligent systems and platform direction
- Collaborative environment spanning AI, engineering, research and security
- Hybrid working with a Belfast-based team
- Real technical challenges with real-world consequences not toy problems
If you're interested or have any further questions on the role, please feel free to reach out to Eve Geddis directly on LinkedIn.
Skills:
AI ML Backend Engineering
Benefits:
Pension Fund Medical Aid / Health Care
WHJS1_NI
”, “datePosted”: “2026-05-20”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Ocho”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__437586430__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=936” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Belfast” } } }AI Engineer
Belfast (Hybrid – 3 days in office) | Full-time
At a Glance
- Role: AI Engineer
- Location: Belfast – Hybrid (3 days in office)
- Employment Type: Full-time
- Experience: 4+ years software engineering | 2+ years AI/ML engineering
- Stack Highlights: Go or Java | LLMs | ML Platforms | Cloud-native
- Domain: Applied AI within a cloud security environment
Who You’ll Work For
Our client operates in the cloud security space, building intelligent systems that protect organisations at scale. They are investing heavily in applied AI – not as an experiment, but as a core part of their product and platform strategy. The engineering culture is technically rigorous, cross-functional and genuinely collaborative, with AI, security and engineering teams working in close alignment. This is a high-impact environment where the work you do shapes both the product and the platform that powers it.
What You’ll Be Doing
You’ll work across the full lifecycle of AI-driven systems – from platform infrastructure through to production features. Your day-to-day will span:
- Building autonomous systems to automate complex security workflows end-to-end
- Developing and shipping AI-driven features into live production environments
- Contributing to an internal AI platform designed for scalable, reusable model deployment
- Working on adaptive models that learn and evolve from real customer environments
- Developing systems that correlate data across multiple sources to quantify and surface risk
- Contributing to AI-driven threat detection capabilities
- Collaborating closely with engineering, research and security teams
Your Impact
This is a role with meaningful reach. The systems you build will directly influence how security threats are detected, triaged and resolved – at scale, in real environments. You’ll help shape the internal AI platform that other engineers build on, and your contributions to adaptive modelling and risk quantification will have lasting product impact. In a domain where the stakes are high, the engineering needs to match and you’ll be central to making that happen.
What We’re Looking For
Essential
- 4+ years of commercial software engineering experience
- 2+ years of dedicated AI or machine learning engineering experience
- Strong programming skills in Go or Java
- Hands-on experience working with LLMs and modern AI frameworks
- Experience building or contributing to ML platforms or internal AI tooling
- Demonstrated ability to work across complex, multi-source data environments
Desirable
- Experience in a security, threat intelligence or data-intensive product domain
- Familiarity with MLOps practices and model lifecycle management
- Exposure to autonomous agents, agentic workflows or tool-use patterns with LLMs
- Experience with cloud-native infrastructure (AWS, GCP or Azure)
- A track record of shipping AI features into high-reliability production systems
What’s In It For You
- Work at the forefront of applied AI in a genuinely complex, high-stakes domain
- High-impact role with direct influence over intelligent systems and platform direction
- Collaborative environment spanning AI, engineering, research and security
- Hybrid working with a Belfast-based team
- Real technical challenges with real-world consequences not toy problems
If you’re interested or have any further questions on the role, please feel free to reach out to Eve Geddis directly on LinkedIn.
Skills:AI ML Backend Engineering
Benefits:Pension Fund Medical Aid / Health Care
WHJS1_NI
…