Senior Machine Learning Engineer

4 weeks ago

Manchester, United Kingdom Janes Full time

Janes is a leading provider of open-source intelligence solutions. As a Senior Machine Learning Engineer, you will play a crucial role in the development and implementation of cutting-edge artificial intelligence products.

Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems.

To thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles.

Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over time, pushing the boundaries of AI technology.

Key Responsibilities
  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Stay up-to-date with developments in the field

Requirements

  • Proven experience as a Machine Learning Engineer or similar role
  • Ability to write robust code in Python and preferably also in JavaScript
  • Strong understanding of Natural Language Processing (NLP)
  • Familiarity with machine learning frameworks (Pytorch, HuggingFace) and libraries (like scikit-learn)
  • Experience in AWS or other similar cloud platforms
  • Excellent communication skills
  • Ability to work in a team

Desirable skills

  • Understanding of data structures, data modelling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Understanding and ability to orchestrate resources in cloud (Terraform)
  • Defining data augmentation pipelines
  • Analysing the errors of the model and designing strategies to overcome them
  • Deploying models to production
  • Outstanding analytical and problem-solving skills

Benefits

  • 27 days of annual leave
  • Healthy half (0.5 day leave every 6 months for wellbeing)
  • Leave (study / volunteer / reserve forces)
  • Pension plan (6% employer contribution)
  • Private medical insurance – Vitality
  • Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay)
  • Paternity (100% of basic salary for 6 weeks)
  • Life cover
  • Access to GoodHabitz

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