Machine Learning/ Generative AI Consultant
Job description
As a Data Analyst, the work centres on analysing large datasets to uncover patterns, insights, and opportunities for machine learning applications. It would suit someone who can bring strong professional approach to the role.
How the role is set up
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Where someone would start
Analysing large datasets to uncover patterns, insights, and opportunities for machine learning applications. Build and maintain scalable data pipelines for model training and deployment. Develop and present client deliverables, including project plans, progress reports, and final presentations.
What helps someone build confidence
Strong professional approach.
What is expected
- Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GANs, VAEs, transformers, or diffusion models.
- Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and MLops tools for model deployment and management.
Job details
- Flexible work hours and the possibility of hybrid work.
- A collaborative and innovative work environment with a team of industry experts.
- London, England, United Kingdom 2 weeks ago.
- Opportunities for professional growth and career advancement.
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