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- Tasks: Integrate innovative language technologies and deploy models using Python.
- Company: Dynamic recruitment firm offering exciting AI projects.
- Benefits: Competitive contract, hands-on experience, and collaboration with talented teams.
- Why this job: Join a fast-paced environment and build impactful GenAI solutions.
- Qualifications: Strong Python skills and experience with ML/LLM techniques.
- Other info: Exciting challenges await in this 6-12 month contract role.
The predicted salary is between 36000 - 60000 £ per year.
A recruitment firm is seeking an AI Engineer for an initial 6-12 month contract in London. This role involves integrating innovative language technologies and requires strong skills in Python, along with experience in deploying models and working with APIs.
Applicants should be passionate about building impactful GenAI solutions, collaborating with cross-functional teams, and understanding ML/LLM techniques. This is a chance to be part of a fast-paced environment with exciting challenges.
GenAI Engineer - LLMs, Python & MLOps (London Onsite) employer: Advantage Resourcing UK Ltd
Contact Detail:
Advantage Resourcing UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer - LLMs, Python & MLOps (London Onsite)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow GenAI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and MLOps. Highlight any innovative language technologies you've worked with. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your ML/LLM knowledge. Be ready to discuss your experience with deploying models and working with APIs. Practice common interview questions and think about how your skills align with the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and passions. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace GenAI Engineer - LLMs, Python & MLOps (London Onsite)
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for GenAI solutions shine through. We want to see how excited you are about integrating language technologies and making an impact!
Highlight Relevant Skills: Make sure to emphasise your Python skills and any experience you have with deploying models and working with APIs. We’re looking for someone who can hit the ground running, so showcase your expertise!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to this specific role. Mention how your background aligns with the requirements and how you can contribute to our team.
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 us!
How to prepare for a job interview at Advantage Resourcing UK Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the latest in ML/LLM techniques. Be ready to discuss specific projects where you've deployed models or worked with APIs, as this will show your hands-on experience.
✨Show Your Passion for GenAI
During the interview, express your enthusiasm for building impactful GenAI solutions. Share examples of how you've collaborated with cross-functional teams in the past, as this will highlight your teamwork skills and commitment to innovation.
✨Prepare for Technical Questions
Expect some technical questions related to language technologies and MLOps. Practise explaining complex concepts in simple terms, as this will demonstrate your understanding and ability to communicate effectively with non-technical team members.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the challenges they face in integrating language technologies or how they measure the impact of their GenAI solutions. This shows you're thinking ahead and genuinely interested in contributing.
