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- Tasks: Join a dynamic team to develop cutting-edge AI solutions and enhance speech recognition features.
- Company: Be part of a pioneering company in Cambridge, focused on real-world AI applications.
- Benefits: Enjoy hybrid work options and the chance to work with state-of-the-art technology.
- Why this job: This role offers the chance to influence ML research and work on impactful projects.
- Qualifications: MSc/PhD in a relevant field with experience in PyTorch or TensorFlow required.
- Other info: Ideal for those passionate about machine learning and speech recognition.
The predicted salary is between 36000 - 60000 £ per year.
New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models.
Key responsibilities and requirements for the Machine Learning Engineer job:
- Train and deploy SOTA models on production-scale datasets
- Enhance speech features (diarization, multilingual, keyword boosting)
- Scale training workflows across multi-GPU systems
- Apply and influence the latest ML research
Key skills / experience required for the Machine Learning Engineer job:
- MSc/PhD in a relevant field with strong ML/deep learning foundations
- Hands-on experience with PyTorch or TensorFlow
- Expertise in model training at scale and GPU systems
- Knowledge of model compression and optimization techniques
- A background in speech recognition would be beneficial
This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire.
Machine Learning Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in speech recognition and model optimisation. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with the machine learning community by attending meetups or webinars focused on PyTorch and TensorFlow. Networking with professionals can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your hands-on experience with training models at scale. Be ready to share specific examples of projects where you've successfully implemented multi-GPU systems or enhanced speech features.
✨Tip Number 4
Research StudySmarter's current projects and values. Tailoring your conversation to align with our mission can demonstrate that you're not just looking for any job, but are genuinely interested in contributing to our team.
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 MSc/PhD qualifications and relevant experience in machine learning and deep learning. Emphasise your hands-on experience with PyTorch or TensorFlow, as well as any projects related to speech recognition.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention specific projects where you've trained and deployed models, and how your skills align with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on projects involving model training at scale or GPU systems, include these in your application. Provide links to your GitHub or portfolio to demonstrate your practical experience and expertise.
Highlight Continuous Learning: Mention any recent courses, certifications, or research you’ve undertaken in the field of machine learning. This shows your commitment to staying updated with the latest ML research and techniques, which is crucial for this role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with PyTorch or TensorFlow. Bring examples of projects where you've trained models at scale, and be ready to explain the techniques you used for model compression and optimisation.
✨Demonstrate Your Knowledge of Speech Recognition
Since a background in speech recognition is beneficial, brush up on the latest advancements in this area. Be ready to discuss any relevant projects or research you've conducted, especially those involving features like diarization or multilingual capabilities.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of machine learning concepts and algorithms. Review key topics such as SOTA models, training workflows across multi-GPU systems, and the latest ML research to ensure you're well-prepared.
✨Cultural Fit and Team Dynamics
Research the company culture and values. Be ready to discuss how you can contribute to the team and align with their passion for developing cutting-edge AI solutions. Show enthusiasm for collaboration and innovation.
