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Lead Machine Learning Engineer

£65,000 - £70,000
Surrey
NW17981
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This really is an exciting opportunity to join our client on this journey to transform education with cutting-edge AI technology as our Lead Machine Learning Engineer.

This education focused spinout based in Caterham is ready to transform the landscape of education with its intelligent tracking and monitoring systems. With hundreds of years of innovation and success behind us, this new enterprise is looking to build a motivated, mission-driven team who want to work on a project which could change lives across the educational landscape.

Salary: c£70,000

Location: Caterham or fully remote

Start: September 2023

Please Note: Enhanced DBS clearance will be carried out for the successful candidate

Interested, here’s more….

Our client is building a platform which utilises automation and AI to radically change the way schools monitor academic progress and mental health whilst reducing teacher workload. They are looking for a highly motivated Machine Learning Engineer to take a leading role in the development of the platform and the development of algorithms which have the potential to positively enhance the lives of millions of learners.

What will your working week be like?

  • Apply and develop new machine learning techniques to improve the platforms recommendations and predictions.
  • Write production-level code and deploy ML-powered applications for a range of functions within the platform.
  • Collaborate with product, engineering, and business teams to define and prioritize data-driven projects.
  • Analyse large and complex datasets to identify trends, patterns, and insights that inform decision-making and drive business growth.
  • Design and implement experiments to test hypotheses, evaluate model performance, and optimize algorithms.
  • Design, implement, and evaluate machine learning models for applications, including sentiment analysis, entity recognition, and natural language understanding.
  • Help to define and drive forward looking ML strategy for the team and across the company.
  • Stay up-to-date with the latest NLP research and apply new techniques to our applications.

Do you have the required skills and experience?

  • Master’s degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 3+ years of experience in data science, machine learning, or a related field.
  • Experience with state of the art ML modelling techniques and approaches like transformers, self supervised pre-training, generative modelling, LLMs, etc.
  • Experience with large scale data processing (e.g. Hive, Scalding, Spark, Hadoop, Mapreduce).
  • Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Strong problem-solving skills and attention to detail.
  • Experience in working with user-facing products.

Beneficial to have the following:

  • Experience with cloud-based machine learning platforms such as Azure, AWS SageMaker or Google Cloud AI Platform
  • Deep understanding of SQL and related query languages.
  • Deep understanding of statistical modelling, machine learning techniques, and algorithms, including regression, classification, clustering and optimization
  • Demonstrated ability to work with large datasets and develop scalable solutions.

Benefits:

  • An avenue to make a positive impact on young people’s lives.
  • Positive, happy team environment.
  • Flexible working arrangements.
  • Discounted school fees.
  • A range of discounts through Benefithub.
  • Free meals if you are on site.

Don't miss this opportunity to work on a project that could change lives across the educational landscape. Apply now and join their motivated, mission-driven team!

Due to the large numbers of responses we receive, despite our best efforts it is not possible to respond to every application. Therefore only short-listed candidates will be contacted for this particular role and if you haven't heard from us within 7 days please assume you have been unsuccessful on this occasion. Please feel free however to apply for further roles and we will certainly keep your details on file and contact you with suitable vacancies.

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