AI/ML Engineer: LLMs, RAG & MLOps Specialist

AI/ML Engineer: LLMs, RAG & MLOps Specialist

Full-Time 130000 - 130000 € / year (est.) No home office possible
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At a Glance

  • Tasks: Build and deploy cutting-edge AI/ML solutions, focusing on LLMs and RAG pipelines.
  • Company: Join Lumora Solutions, a forward-thinking tech company in Greater London.
  • Benefits: Earn up to £725 daily with a 6-month contract inside IR35.
  • Other info: Collaborative environment with opportunities for problem-solving and innovation.
  • Why this job: Make an impact in the AI/ML field while enhancing your skills.
  • Qualifications: Strong AI/ML engineering experience and advanced Python skills required.

The predicted salary is between 130000 - 130000 € per year.

Lumora Solutions is looking for a Machine Learning Specialist for a 6-month contract in Greater London. The role focuses on building and deploying AI/ML solutions, specifically LLMs and RAG pipelines.

Candidates should have strong experience in AI/ML engineering, advanced Python skills, and familiarity with MLOps practices. Along with technical expertise, excellent problem-solving and collaboration skills are essential.

This contract operates inside IR35, offering a daily rate of up to £725.

AI/ML Engineer: LLMs, RAG & MLOps Specialist employer: Lumora Solutions

At Lumora Solutions, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an AI/ML Engineer in Greater London, you will have access to cutting-edge technology and the opportunity to collaborate with industry experts, enhancing your skills and career growth. Our commitment to employee development, coupled with competitive compensation and a supportive environment, makes us an exceptional employer for those seeking meaningful and rewarding work in the tech sector.

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Contact Detail:

Lumora Solutions Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI/ML Engineer: LLMs, RAG & MLOps Specialist

Tip Number 1

Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. Sometimes, a friendly chat can lead to a hidden gem of a job that’s not even advertised.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those involving LLMs and RAG pipelines. 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 problem-solving skills. Expect technical questions that test your knowledge of MLOps practices and Python. Practising with mock interviews can help you feel more confident when it’s time to shine.

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace AI/ML Engineer: LLMs, RAG & MLOps Specialist

AI/ML Engineering
LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation) Pipelines
Advanced Python Skills
MLOps Practices
Problem-Solving Skills
Collaboration Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI/ML engineering, especially focusing on LLMs and RAG pipelines. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your advanced Python skills!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your problem-solving and collaboration skills, as these are key for us at Lumora Solutions.

Showcase Your MLOps Knowledge:Since familiarity with MLOps practices is essential, make sure to mention any relevant projects or experiences. We love seeing how you’ve implemented MLOps in your previous work, so give us the details!

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 makes the process smoother for everyone involved!

How to prepare for a job interview at Lumora Solutions

Know Your LLMs Inside Out

Make sure you brush up on your knowledge of Large Language Models (LLMs) before the interview. Be ready to discuss their architecture, applications, and any recent advancements in the field. This will show that you're not just familiar with the concepts but are genuinely passionate about AI/ML.

Showcase Your Python Skills

Since advanced Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your proficiency and how you've used Python in real-world scenarios.

Understand MLOps Practices

Familiarise yourself with MLOps practices as they are crucial for deploying AI/ML solutions. Be prepared to discuss how you’ve implemented MLOps in past projects, including tools and frameworks you’ve used. This will help you stand out as someone who can bridge the gap between development and operations.

Emphasise Collaboration and Problem-Solving

Lumora Solutions values collaboration and problem-solving skills. Think of examples from your past experiences where you worked effectively in a team or tackled a challenging problem. Highlighting these soft skills will demonstrate that you’re not just a tech whiz but also a great team player.