At a Glance
- Tasks: Build and deploy AI applications that make a real-world impact.
- Company: Leading AI tech firm in defence and national security.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced environment with exciting challenges and career advancement.
- Why this job: Join a cutting-edge team solving complex problems with advanced AI technologies.
- Qualifications: Experience in AI development and a passion for innovative technology.
The predicted salary is between 60000 - 80000 £ per year.
Location: London / Hybrid (2-3 days a week in office)
Security Clearance: MUST be a sole British Citizen
We’re supporting a rapidly growing AI and intelligence technology business delivering cutting edge solutions within the defence and national security space. This organisation is building advanced AI driven platforms that help turn complex, high-volume data into actionable intelligence used in real world operational environments.
As part of continued growth, they’re looking for AI Engineers to help design, develop, and deploy scalable AI systems across a variety of greenfield and mission critical projects. You’ll work alongside high calibre engineers, data scientists, and product teams building next generation capabilities leveraging LLMs, machine learning, knowledge graphs, retrieval systems, and modern cloud infrastructure.
The environment is highly technical, fast moving, and engineering focused, making it an ideal opportunity for someone who enjoys solving difficult problems and building production ready AI systems with real world impact.
What you’ll be doing:
- Building and deploying AI powered applications and services
- Working with LLMs, RAG pipelines, vector databases, and agent-based workflows
- Designing scalable backend systems and data pipelines
- Collaborating with cross functional engineering and product teams
Tech stack / experience of interest:
- LLMs and Generative AI
The ideal person will likely come from an AI startup, advanced technology business, or engineering led environment where they’ve had exposure to building real AI products rather than purely academic research. Candidates who’ve demonstrated initiative through side projects, startups, open-source contributions, or personal AI experimentation will be viewed very positively.
This is a fantastic opportunity to join a business at the forefront of applied AI within a genuinely meaningful domain, with strong funding, exciting technical challenges, and the ability to work on technology deployed in real world scenarios.
AI Engineer employer: Future Talent Group
Join a pioneering AI and intelligence technology firm in London, where you'll collaborate with top-tier engineers and data scientists to develop cutting-edge AI solutions for defence and national security. Our hybrid work culture promotes flexibility while fostering innovation and teamwork, ensuring you have the resources and support for professional growth. With a focus on real-world impact and advanced technology, this is an exceptional opportunity to contribute to meaningful projects in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, whether they're from work, side gigs, or personal experiments. This is your chance to demonstrate your hands-on experience with LLMs and other tech mentioned in the job description.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant concepts and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight how your experience aligns with the role, and don’t forget to mention any cool projects you've worked on!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, machine learning, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention any side projects or contributions that showcase your initiative.
Showcase Your Technical Skills:In your application, be sure to highlight your technical skills and experiences that relate to building AI systems. Mention specific technologies you've worked with, like vector databases or agent-based workflows, to catch our eye!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application quickly. Plus, it shows you’re serious about joining us at StudySmarter!
How to prepare for a job interview at Future Talent Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like LLMs and generative AI. Brush up on your knowledge of vector databases and RAG pipelines, as these are likely to come up during technical discussions.
✨Showcase Your Projects
Be ready to discuss any side projects, open-source contributions, or personal experiments you've worked on. This is your chance to demonstrate initiative and real-world application of your skills, which will resonate well with the interviewers.
✨Understand the Business Context
Familiarise yourself with the defence and national security space. Understanding how AI can impact this sector will help you articulate your ideas better and show that you’re genuinely interested in the role and its implications.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or problem-solving scenarios during the interview. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to tackle complex issues in a fast-paced environment.
