At a Glance
- Tasks: Build AI-driven systems that automate security workflows and develop scalable features.
- Company: Leading cloud security firm focused on applied AI and collaboration.
- Benefits: Competitive salary, pension fund, medical aid, and hybrid working.
- Other info: Join a dynamic team tackling real-world challenges with cutting-edge technology.
- Why this job: Make a real impact in AI and security, shaping intelligent systems.
- Qualifications: 4+ years software engineering and 2+ years AI/ML experience required.
The predicted salary is between 72000 - 88000 £ per year.
AI Engineer, working across applied AI and platform engineering in Belfast, hybrid (3 days in office). Circa £80,000 to £120,000, dependent on experience.
4+ years software engineering, 2+ years dedicated AI/ML engineering.
Stack: Go or Java, LLMs, ML platforms, cloud-native infrastructure.
About the Company:
Our client operates in the cloud security space, building intelligent systems that protect organisations at scale. They are investing heavily in applied AI 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.
The Role:
You'll work across the full lifecycle of AI-driven systems, from platform infrastructure through to production features. Day to day, you'll build autonomous systems that automate complex security workflows end to end, develop and ship AI-driven features into live production environments, and contribute to an internal AI platform designed for scalable, reusable model deployment. You'll work on adaptive models that learn and evolve from real customer environments, develop systems that correlate data across multiple sources to quantify and surface risk, and contribute 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.
What You'll Need:
- 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 / Nice to Have:
- 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
Why Apply?
- Circa £80,000 to £120,000, dependent on experience
- 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
Next Steps:
If this sounds like your next move, get in touch with Eve Geddis directly on LinkedIn or via email to find out more and apply.
Skills: AI/ML, Java, Go, AWS
Benefits: Pension Fund, Medical Aid / Health Care
AI Engineer in London employer: Ocho
Join a forward-thinking UK technology company that is at the forefront of AI innovation, where you will have the opportunity to develop your skills in a supportive and fast-paced environment. With a strong emphasis on mentorship from senior engineers, flexible working patterns, and the chance to own your projects early on, this role offers a unique pathway for professional growth in AI engineering. The company's commitment to an AI-first culture ensures that you will be working with cutting-edge tools and technologies, making a real impact in complex customer environments.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨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 Ocho 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 Ocho.
✨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 Ocho.
✨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 Ocho 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 AI Engineer in London
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 Ocho.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Ocho 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 Ocho
✨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 Ocho 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.
