Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise AI architectures while collaborating on transformative projects.
- Company: Innovative tech firm in London with a focus on cutting-edge AI technologies.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and make a real impact in the AI field.
- Qualifications: Experience with AI technologies and strong collaboration skills.
- Other info: Dynamic environment with mentorship opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Location: London
Type: Full-Time
Salary: Competitive + Benefits
Remote Work: Hybrid options available
About the Role
We are looking for a talented and forward-thinking AI Engineer to join our innovative team in the London area. This is a unique opportunity to work on cutting-edge AI technologies and contribute to transformative projects across multiple domains.
Key Responsibilities
- Design, develop, and optimize Transformer-based architectures (GPT, LLaMA, Mistral, Claude)
- Fine-tune large language models for domain-specific applications
- Implement advanced prompt engineering strategies
- Leverage Retrieval-Augmented Generation (RAG) for enhanced contextual performance
- Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen
- Apply reinforcement learning techniques including Q-learning, policy gradients, and RLlib
- Collaborate with cross-functional teams to integrate AI solutions into scalable products
- Ensure best practices in data engineering and contribute to architectural decisions
- Contribute to the mentoring and development of junior team members
- Support senior team members in identifying and addressing data science opportunities
Required Skills
Ai Engineer in England employer: GBA5 EntServ UK Limited
Contact Detail:
GBA5 EntServ UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ai Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Transformer-based architectures or prompt engineering. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on reinforcement learning techniques and familiarising yourself with frameworks like LangChain and AutoGen. We want you to feel confident and ready to tackle any technical questions that come your way!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Ai Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Transformer-based architectures 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 you can contribute to our team. Be sure to mention specific technologies or methodologies from the job description that excite you.
Showcase Your Projects: If you've worked on any cool AI projects, don’t hold back! Include links to your GitHub or portfolio where we can see your work in action. This gives us a better idea of your hands-on experience and creativity.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at GBA5 EntServ UK Limited
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies, especially Transformer-based architectures like GPT and LLaMA. Be ready to discuss your experience with fine-tuning large language models and any projects you've worked on that involved advanced prompt engineering.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've applied reinforcement learning techniques, such as Q-learning or policy gradients, in real-world scenarios. This will demonstrate your practical knowledge and ability to tackle complex challenges.
✨Collaboration is Key
Since the role involves working with cross-functional teams, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you’ve integrated AI solutions into scalable products, as this will show you're a team player.
✨Mentorship Matters
If you've had experience mentoring junior team members, be sure to mention it! Discuss how you've contributed to their development and how you can bring that same support to the team at the new company. It shows leadership potential and a commitment to growth.
