At a Glance
- Tasks: Design and implement advanced machine learning models using cutting-edge technologies.
- Company: Global leader in technology with a focus on innovation and collaboration.
- Benefits: Competitive pay up to £1000 per day, hybrid work model, and flexible hours.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
- Why this job: Join a pioneering team and shape the future of machine learning.
- Qualifications: Expertise in machine learning frameworks and experience with large language models.
A global leading business is hiring a Senior Machine Learning Engineer. This is a hybrid position paying up to £1000 per day, outside IR35.
Experience and skills required:
- In-depth experience with Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT
- Deep Learning with PyTorch
- Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML
- Previous industry exposure to multi-node HPC clusters
- Experience with Large Language Models - OpenAI, Mistral, Claude, LLaMA
- Large language model for GPU usage, scaling, and data movement
Package:
- Hybrid
- Outside IR35
- Paying between £800 to £1000 per day depending on experience
Machine Learning Engineer in City of London employer: Emporia Consulting Group Limited
Join a global leader in technology as a Senior Machine Learning Engineer, where you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. With competitive pay rates of up to £1000 per day and a strong emphasis on employee growth, you will have access to cutting-edge projects and the opportunity to work with advanced machine learning technologies. Our inclusive work culture encourages continuous learning and development, making it an ideal place for professionals seeking meaningful and rewarding careers.
Contact Details:
Emporia Consulting Group Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Quantization, PEFT, and DeepSpeed. 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 technical knowledge and problem-solving skills. Be ready to discuss your experience with PyTorch and large language models, as these are hot topics right now!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Machine Learning Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with the specific technologies mentioned in the job description, like PyTorch and TensorRT. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how your previous projects relate to our needs. This is your chance to show off your personality and enthusiasm!
Showcase Relevant Projects:If you've worked on any projects involving quantization or large language models, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at Emporia Consulting Group Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Quantization, PEFT, and DeepSpeed. Brush up on your experience with PyTorch and inference servers, as these will likely come up during technical discussions.
✨Prepare Real-World Examples
Think of concrete examples from your past work that showcase your skills with large language models and multi-node HPC clusters. Be ready to discuss challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects or their approach to machine learning. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
✨Practice Makes Perfect
Conduct mock interviews with a friend or use online platforms to simulate the interview environment. Focus on articulating your thoughts clearly, especially when discussing complex topics like GPU usage and data movement.
