ML Engineer- Electric Twin Ltd London W1U £70,000 – £125,000 a year – Full-time Electric Twin Ltd London W1U £70,000 – £125,000 a year

Full time @Data Science Career in Machine Learning
  • Apply Before : September 6, 2024
  • Salary: £70.00 - £125.00 / Annual
  • 1 Application(s)
  • View(s) 26
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Job Detail

  • Job ID 24029
  • Sector  Machine Learning

Job Description

Data Science Jobs

Full job description

Electric Twin is building advanced systems to predict human behaviour. We are backed by Europe’s leading seed-stage investors and have assembled an exceptional team. We are hiring an ML engineer to work on improving our ability to predict human behaviour and play a central role in our work with customers.



  • Design and implement state-of-the-art machine learning models to predict human decision making.
  • Propose areas of research to improve our ability to predict human behaviour, and the performance of our models and systems.
  • Use focus group conversations, surveys and other contextual data in order to fine-tune language models to achieve better representations of target populations.
  • Develop evaluation methodologies to de-blackbox LLM decision pathways for the underlying dataset.
  • Successfully implement machine learning techniques to interpret and analyse data; iterate on feedback to improve the value of our models in customer use cases.


  • Experience of implementing and deploying machine learning research ideas within industry.
  • Strong problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly.
  • Strong statistical modelling experience with examples of using these in real-world applications.
  • Proficiency in Python, with a focus on statistical, ML, data analysis and visualisation libraries: pandas, numpy, statsmodels, scikit-learn, pytorch.
  • Deep Learning knowledge with examples of completing projects in this area.
  • Keen interest in using LLMs.



  • Not afraid of using and developing unorthodox methods to make progress on difficult problems.
  • Product-minded outlook: You can build for customers and iterate on their feedback.
  • Startup mindset: You value the importance of moving quickly, getting things done and picking up tasks which are not on your to-do list.


  • Stock Option Plan
  • Pension
  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Training & Development

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