Machine Learning Engineer

JR United Kingdom; Cambridge; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading technology company in Cambridge is seeking a talented Machine Learning Engineer to join their innovative team. This hybrid role involves developing advanced AI solutions, including ultra-low-latency speech recognition and large-scale models. Ideal candidates will have a strong academic background and hands-on experience with ML frameworks like PyTorch or TensorFlow.

Qualifications

• Strong foundations in ML and deep learning.
• Hands-on experience with PyTorch or TensorFlow.
• Expertise in model training at scale.

Responsibilities

• Train and deploy SOTA models on production-scale datasets.
• Enhance speech features like multilingual and keyword boosting.
• Scale training workflows across multi-GPU systems.

Skills

Machine Learning

Deep Learning

PyTorch

TensorFlow

Model Training

GPU Systems

Speech Recognition

Education

MSc/PhD in a relevant field

Job description

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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.