Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Create and fine-tune bespoke large language models for enterprise clients.
- Company: Leading AI consultancy in Greater London with a focus on innovation.
- Benefits: Diverse workplace, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the AI industry.
- Qualifications: Bachelor's or Master's degree in a relevant field and strong Python skills.
- Other info: Collaborative environment with a commitment to diversity and equal opportunities.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI consultancy in Greater London is seeking an AI Engineer to create and fine-tune large language models tailored to client needs. This role involves deploying AI solutions that achieve enterprise-grade performance while collaborating with cross-functional teams to translate business needs into impactful solutions.
A Bachelor's or Master's degree in a relevant field is essential, alongside strong experience in Python and machine learning frameworks. The company values diversity and provides equal opportunities to all employees.
Graduate AI Engineer: Build Bespoke LLMs for Enterprise employer: Reply, Inc.
Contact Detail:
Reply, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Engineer: Build Bespoke LLMs for Enterprise
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models. We want to see what you can do, so make sure to highlight your experience with Python and machine learning frameworks.
✨Tip Number 3
Prepare for interviews by practising common AI engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Graduate AI Engineer: Build Bespoke LLMs for Enterprise
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning frameworks. We want to see how your skills align with the role of creating bespoke LLMs for enterprise needs.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our team. Share specific examples of your work that demonstrate your ability to translate business needs into impactful AI solutions.
Showcase Your Projects: If you've worked on any relevant projects, whether in your studies or professionally, make sure to include them. We love seeing practical applications of your skills, especially those related to large language models.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Reply, Inc.
✨Know Your Models
Make sure you brush up on your knowledge of large language models and the specific frameworks mentioned in the job description. Be ready to discuss how you've used Python and machine learning frameworks in past projects, as this will show your technical expertise.
✨Understand the Business Side
Since the role involves translating business needs into AI solutions, do some research on common challenges faced by enterprises in your target industry. This will help you demonstrate how your skills can directly address their needs during the interview.
✨Showcase Collaboration Skills
Prepare examples of how you've successfully worked with cross-functional teams in the past. Highlight your ability to communicate complex technical concepts to non-technical stakeholders, as this is crucial for the role.
✨Embrace Diversity
Familiarise yourself with the company's commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a diverse workplace and why it matters in the context of AI development.
