Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI solutions with real-world impact.
- Company: Join a forward-thinking tech company in the UK with a hybrid work model.
- Benefits: Competitive daily rate, flexible working, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and shape the future of technology.
- Qualifications: 5-12 years in AI/ML engineering with hands-on experience in GenAI or LLM frameworks.
- Other info: Collaborative environment with a focus on responsible AI practices.
Location: United Kingdom (Hybrid, 2 days in office)
Contract Type: 6-month contract
Rate: £465/day (Inside IR35)
About the Role: We are looking for a skilled AI Engineer to design, build, and deploy production-ready AI and GenAI solutions. You will work on advanced LLM applications, RAG pipelines, and scalable AI platforms. This role involves end-to-end ownership of AI/ML features from data ingestion to model deployment, integrating solutions into real-world applications.
Responsibilities:
- Develop and deploy GenAI and LLM solutions, including prompt engineering and RAG pipelines
- Build scalable data pipelines and production ML workflows
- Implement MLOps/LLMOps processes for model versioning, CI/CD, and monitoring
- Optimize model training and inference performance using modern hardware and frameworks
- Embed Responsible AI practices (fairness, explainability, bias testing)
- Collaborate with architects, data scientists, and product teams for solution integration
Essential Skills:
- 5–12 years experience in AI/ML engineering
- Hands-on experience with GenAI or LLM frameworks
- Experience with RAG pipelines, embeddings, and vector databases
- Python development, API creation, microservices, and cloud platforms (preferably GCP)
- CI/CD pipelines, Docker/Kubernetes, and MLOps/LLMOps
- Production deployment and monitoring of AI/ML solutions
Desirable Skills:
- Knowledge of TensorFlow, PyTorch, scikit-learn, or Hugging Face libraries
- API gateways, secure engineering, and performance optimization techniques
- Experience with observability tools and auto-scaling solutions
To apply: Please submit your CV and a brief summary of relevant experience.
AI Engineer employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online forums. The more people you know, the better your chances of landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GenAI and LLM solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with MLOps, CI/CD, and any relevant frameworks like TensorFlow or PyTorch.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 GenAI, LLM frameworks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include a brief summary of your relevant experience in your application. If you've built scalable data pipelines or deployed AI solutions, let us know! This is your chance to shine and show us what you can do.
Keep It Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so don’t be afraid to get straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of GenAI and LLM frameworks. Be ready to discuss your hands-on experience with RAG pipelines and how you've implemented them in past projects. This will show that you’re not just familiar with the concepts but have actually applied them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in AI/ML engineering and how you overcame them. Use examples that highlight your ability to optimise model training and inference performance, as well as your experience with MLOps processes. This will demonstrate your end-to-end ownership of AI features.
✨Get Technical with CI/CD
Since this role involves deploying production-ready solutions, be ready to dive into your experience with CI/CD pipelines, Docker, and Kubernetes. Discuss how you've used these tools to streamline workflows and ensure smooth deployments. This shows you understand the importance of operational efficiency.
✨Emphasise Responsible AI Practices
Familiarise yourself with Responsible AI principles like fairness, explainability, and bias testing. Be prepared to discuss how you've embedded these practices in your previous work. This will resonate well with the company's commitment to ethical AI development.