Senior Machine Learning Engineer

2 weeks ago

London, Greater London, United Kingdom NLP PEOPLE Full time
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation.

With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London.

We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner.

We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times.

Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

InstaDeep is looking for Machine Learning Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences.

This necessarily requires expertise not just in machine learning, but also in the curation of experimental data and computational modelling techniques such as homology modelling, molecular dynamics with classical force fields, quantum chemistry calculations with density functional theory.

As a Machine Learning Engineer, you will work closely with our Research Scientists and Engineers to support our ambitious research agenda.

Lead the engineering components of long-term research projects encompassing all stages of the project lifecycle.

Responsibilities include data generation pipelines, database management, development and maintenance of codebases, as well as the design and execution of analysis pipelines and reporting mechanisms.


  • Align with engineering leads across other critical projects to improve standardisation and methodological best practices across the company.
  • Develop and maintain robust, high-quality software solutions. Work in collaboration with Research Scientists, Engineers, and technical leads from various projects to uphold high coding standards and foster standardisation and methodological best practices across the Research Team.
  • Deploy machine learning models and associated processes across large-scale, distributed computing infrastructures, including CPUs, GPUs, and TPUs, utilising both in-house and cloud-based platforms.
  • Manage the efficient, reproducible, and performant handling of complex, multi-modal biological data. This includes optimising data generation, storage, and retrieval processes, particularly through advanced database management systems like SQL.
  • Actively contribute to the team's research initiatives, including publishing results and participating in open-source projects.
  • Masters-level degree in Computational Science, Machine Learning or a related scientific field.
  • Strong software engineering experience (Object-Oriented Programming, Unit Testing, Profiling, CI, Docker) via previous work or contributions to open-source projects.
  • either industrial or through PhD/post-doctoral positions.
  • Experience with computational biology or molecular dynamics.
  • Published scientific papers in related domains such as ML or bioinformatics.

Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation.

Please note that you will require the legal right to work in the location you are applying for

Language requirements:
Senior (5+ years of experience)

Tagged as:
Academia , Machine Learning , NLP , United Kingdom
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