Machine Learning Engineer

Octagon Group; Cambridge; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

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

Qualifications

• 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.

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

Model Training

Speech Recognition

PyTorch

TensorFlow

Education

MSc/PhD in a relevant field

Job description

This range is provided by Octagon Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Octagon Group

Principal Talent Partner at Octagon Group

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering, Design, and Other

• Industries

  Software Development, IT System Design Services, and IT Services and IT Consulting

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