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:
- Quantisation
- PEFT
- DeepSpeed
- ONNX
- TensorRT
- PyTorch
- Experience 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
Machine Learning Engineer employer: Emporia Consulting Group
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 and a strong emphasis on employee growth, this role offers the opportunity to work with cutting-edge technologies and contribute to impactful projects. The company culture prioritises professional development and encourages a diverse range of ideas, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨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 to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Quantisation, PEFT, and Deep Learning with PyTorch. 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 knowledge of inference servers and large language models. Be ready to discuss your experience with tools like ONNX and TensorRT, as well as your approach to scaling and data movement.
✨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. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Machine Learning Engineer
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 ONNX. 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 quantisation or large language models, make sure to mention them! 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 it reaches the right people quickly!
How to prepare for a job interview at Emporia Consulting Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Quantisation, PEFT, and DeepSpeed. Brush up on your PyTorch skills and be ready to discuss how you've used these tools in past projects.
✨Prepare Real-World Examples
Think of concrete examples from your previous work that showcase your experience with inference servers and large language models. Be ready to explain your thought process and the impact of your contributions.
✨Stay Current with Trends
The field of machine learning is always evolving, so make sure you’re up-to-date with the latest advancements. Familiarise yourself with recent developments in ONNX and TensorRT, and be prepared to discuss how they can benefit the company.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to machine learning and their future projects. This shows your genuine interest and helps you assess if it’s the right fit for you.
