Jobs

Senior Machine Learning Engineer


Job details
  • 83data
  • London
  • 1 week ago
Applications closed

Senior Machine Learning Engineer

London (Hybrid)

£70,000 - £85,000 per annum (+Bonus and Bens)


83DATA are partnered with a dynamic, fast-growing tech company at the forefront of AI and machine learning innovation. Their mission is to leverage cutting-edge machine learning algorithms to drive real-world solutions across various industries, from healthcare to finance. We are looking for a talented Machine Learning Engineer to join the growing team and make a real impact on their AI product offerings.

As a Mid-Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that scale across large datasets. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to integrate advanced ML techniques into our products. This is a hybrid role with a mix of remote work and on-site presence at our London office, offers a competitive salary and a great bonus!


Key Responsibilities:

  • Build, train, and optimize scalable high level ML models.
  • Design and implement data pipelines to ensure smooth deployment and performance of models.
  • Experiment with and evaluate new ML algorithms and technologies.
  • Monitor model performance, identifying and resolving bottlenecks and issues.
  • Mentor junior engineers and contribute to the growth of the ML team.

What We’re Looking For:

  • Proven experience (3-5 years) in machine learning engineering, with a focus on model building and deployment.
  • Someone excited and passionate about AI
  • Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, Azure) and deploying ML models in a cloud environment.
  • Familiarity with data pipeline tools (e.g., Airflow, Spark) and version control systems like Git.


Please apply or email me on !

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