At a Glance
- Tasks: Design and deploy secure AI capabilities across various corporate functions.
- Company: A growing maritime tech and defence business with a focus on innovation.
- Benefits: 25 days holiday, flexi working, private medical insurance, and extra leave after 2 years.
- Other info: Opportunity for career growth in a supportive and innovative environment.
- Why this job: Join a dynamic team to revolutionise AI in the maritime industry.
- Qualifications: Experience in AI applications, Linux systems, and strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
Our client, a growing maritime technology and defence business, is seeking an AI Engineer to help design, develop and deploy secure AI capabilities across the organisation.
This role will focus on practical AI adoption across Engineering, Production, Manufacturing, IT & Security and wider corporate functions improving productivity, decision-making, access to information and operational efficiency.
The role
- Design, deploy and support secure AI applications, agents, assistants, knowledge systems and workflow automations across Microsoft, cloud and on-premise platforms.
- Develop RAG, semantic search and MCP solutions, integrating AI securely with business systems, databases, documents and APIs.
- Implement and maintain AI security controls including authentication, RBAC, least-privilege access, audit logging, input validation and approval workflows.
- Evaluate AI platforms, models and suppliers, ensuring solutions meet security, privacy, performance, compliance and supportability requirements.
- Define and uphold AI governance, risk frameworks and secure-by-design standards, including encryption, secrets management and environment segregation.
- Identify, monitor and mitigate AI-related threats such as data leakage, prompt injection, insecure outputs and excessive agent permissions.
- Deploy and manage AI services across Linux, containerised and virtualised environments, while supporting integrations, monitoring, patching, backup and recovery.
- What we’re looking for
- Practical experience designing, developing, deploying or supporting AI-enabled applications, integrations and workflow automations
- Working knowledge of LLMs, RAG, semantic search, AI agents and Model Context Protocol
- Experience deploying and operating applications across Linux systems, containers and virtual machines
- Experience of monitoring, patching, backup and recovery within application environments
- Experience working with APIs, structured data, system integrations, authentication and role-based access control
- Familiarity with source control and automation/scripting
- Understanding of secure development, AI governance, information security, data protection, auditability and responsible AI principles
- Strong analytical/troubleshooting skills with clear communication and documentation
- 25 days holiday per year, plus paid bank holidays
- Additional annual leave after 2 years’ service (up to 5 extra days)
- Holiday buy/sell (up to 5 days per calendar year)
- Flexi working (core hours 10:00–15:00, subject to departmental requirements)
- Private Medical Insurance (optional family cover)
Artificial Intelligence Engineer in England employer: Gattaca
Join a leading technology business in Central London as a Customer Success Manager, where you'll thrive in a dynamic and innovative environment. With a strong focus on employee growth, the company offers excellent training opportunities and a collaborative work culture that values your input and fosters professional development. Enjoy the unique advantage of working in a vibrant city, surrounded by like-minded professionals, while making a meaningful impact on customer success and satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨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 Gattaca 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 Gattaca.
✨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 Gattaca.
✨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 Gattaca 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 Artificial Intelligence Engineer in England
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 Gattaca.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gattaca 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 Gattaca
✨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 Gattaca 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.
