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- Tasks: Design and optimise AI/ML models while collaborating with stakeholders on innovative projects.
- Company: Dynamic tech company focused on bridging the digital skills gap.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Other info: Contract role with potential for growth in a vibrant Manchester setting.
- Why this job: Join a mission-driven team and make a real difference in the tech landscape.
- Qualifications: Experience with AI/ML, Azure services, Python, and performance optimisation required.
The predicted salary is between 50000 - 70000 £ per year.
A tech company focused on digital skills is seeking a Contract AI/ML Engineer to join their team in the UK. The role requires significant experience with AI/ML engineering, particularly in LLM-based applications and RAG architectures.
Responsibilities include:
- Designing model evaluation frameworks
- Optimising retrieval pipelines
- Collaborating with stakeholders
Ideal candidates will have strong hands-on experience with Azure AI services, Python, and performance optimisation techniques. This contract position is based in a commutable distance to Manchester and aims to address the digital skills gap.
Contract AI/ML Engineer: RAG & LLMs Innovator (Manchester) employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract AI/ML Engineer: RAG & LLMs Innovator (Manchester)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those who work with LLMs and RAG architectures. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/ML engineering. Highlight your experience with Azure AI services and Python to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML questions and case studies. Be ready to discuss your approach to designing model evaluation frameworks and optimising retrieval pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Contract AI/ML Engineer: RAG & LLMs Innovator (Manchester)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML engineering, especially in LLM-based applications and RAG architectures. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Be sure to mention your hands-on experience with Azure AI services and Python. We’re looking for someone who can hit the ground running, so any specific examples of performance optimisation techniques you've used will definitely catch our eye.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at NLP PEOPLE
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and ML, especially around LLMs and RAG architectures. Be ready to discuss your hands-on experience with Azure AI services and Python, as these are key for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed model evaluation frameworks or optimised retrieval pipelines in past projects. This will demonstrate your practical skills and ability to tackle real-world challenges.
✨Collaborate Like a Pro
Since the role involves working with stakeholders, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you’ve managed to align technical solutions with business needs.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s approach to addressing the digital skills gap. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.