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Machine Learning Engineer

Noir

Greater London

Hybrid

GBP 50,000 - 80,000

Full time

3 days ago
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Job summary

A leading AI company in London is seeking multiple Machine Learning Engineers to join their innovative team. The role involves developing scalable machine learning applications and contributing to the future of AI technology. Ideal candidates will have experience in Python and various ML frameworks, with training provided for any skill gaps.

Qualifications

  • Experience with listed technologies is required.
  • Full training will be provided for gaps in skills.
  • Must be based in the UK and authorized to work.

Responsibilities

  • Develop cutting-edge machine learning applications from scratch.
  • Collaborate with top AI talent to contribute to industry-leading AI solutions.

Skills

Python
TensorFlow
PyTorch
scikit-learn
NLP
Docker

Job description

I assist MDs, CTOs, Development Managers, business leaders, and recruitment managers in finding the best Microsoft professionals for their businesses.

Machine Learning Engineer – SaaS - London

(Tech stack: Python, TensorFlow, PyTorch, scikit-learn, Keras, NLP, Hugging Face Transformers, Pandas, NumPy, Jupyter, Matplotlib, Seaborn, Flask, FastAPI, Docker, MLflow, DVC, AWS SageMaker, Azure ML, Google Cloud AI, TensorFlow Serving, ONNX)

Join a forward-thinking AI company with multiple openings for Machine Learning Engineers. Collaborate with top AI talent and contribute to industry-leading AI solutions that are scalable and personalized. Be part of reshaping AI's future with innovative models surpassing current benchmarks.

Ideal candidates will have experience in the listed technologies; full training will be provided for gaps in skills.

This role involves developing cutting-edge machine learning applications from scratch in a rapidly advancing AI market.

Location: London/Hybrid Working

Apply by sending your CV to Sunny Bhalla at Noir. Applicants must be based in the UK and authorized to work there.

NOIRUKTECHREC, NOIRUKREC

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology
Industries
  • Information Services
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