Senior Machine Learning Engineer

  • Wellcome Trust
  • Hybrid (215 Euston Road, London, UK)
  • 02/04/2024
Full time Machine Learning Artificial Intelligence Biostatistics Data Warehouse

Job Description

Salary: £ 67,983.00
Closing date: Monday 15th April
Contract type: Permanent
 
The Wellcome Trust is a global charitable foundation. We improve health for everyone by funding science, leading policy and advocacy campaigns, and building partnerships.
We plan to spend £16bn over the next ten years, funding new discoveries in life, health, and wellbeing, and taking on three global health challenges: mental health, infectious disease and climate and health.
These challenges need the bold science we support, but they won’t be solved by science alone.
We are looking for a Senior Machine Learning Engineer to join our team.
 
Where in Wellcome will I be working?
You will be working for the Wellcome Collection which is a free museum and library that aims to challenge how we all think and feel about health. Through exhibitions, collections, live programming, digital, broadcast and publishing, we create opportunities for people to think deeply about the links between science, medicine, life, and art.
You will join an agile interdisciplinary team of machine learning engineers, data scientists, analysts, software and data engineers, visualisation specialists, product managers, qualitative researchers, and designers. We all learn from each other and work together in supporting Wellcome's mission to address worldwide health challenges.
 
What will I be doing?
You will have the opportunity to work on and lead specific machine learning projects across both the Wellcome Collection and the wider Wellcome Trust. With a focus on developing tools that enable the Wellcome Collection to manage and make accessible its extensive digital collection. With particular emphasis on working with open-source software to develop natural language processing and computer vision to create search algorithms and tools.
 
As a insert Senior Machine Learning Engineer you will :
  • Support and enable research into Wellcome Collection by championing the use of machine learning techniques across our text and image collections.
  • Take the lead on technical research and the development of machine learning solutions, including leading other machine learning engineers where appropriate.
  • Present complex analysis or solutions to both internal and external non-technical audiences in an understandable manner.
  • Mentor and support the development of data science and machine learning related skills in more junior or less technical colleagues.
  • Stay up to date with the latest advances in data science and machine learning research, ensuring Wellcome is taking full advantage of meaningful technological advances
  • Contribute to a diverse and inclusive culture across the organisation, collaborating across departments.
Is this job for me?
We are looking for an experienced senior machine learning engineer who has a passion for our mission in reducing global health inequalities to join out team with a focus on The Wellcome Collection's image archive.
 
To be successful in this role you will have:
  • Proven experience using advanced statistical techniques, machine learning, modern natural language processing and computer vision techniques to deliver impactfull solutions.
  • Strong knowledge of SQL and Python, including core machine learning libraries such as: PyTorch, Torchvision, Hugging Face and Scikit-Learn.
  • Knowledge of software development good practices and collaboration tools, including git-based version control, python package management and code reviews.
  • Experience cleaning, exploring, and visualising data using packages such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh or Plotly.
  • Experience working with Postgres or other SQL databases and unstructured data stores. Any experience working with Neo4j graph databases is a bonus.
  • Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders.
  • Experience working with cloud environments and tools such as Amazon AWS S3, EC2, etc is a bonus.
For the recruitment of this role we are using Workday’s anonymised application functionality.
To apply please upload your CV and complete our short application. Please ensure that when you are applying you complete all sections on the application form, we will not be able to accept any applications that are incomplete.
Interview dates: W/C 29th April 2024
You can view the full
job description
here.
You can read more about the benefits we offer our employees on our
website
 
Our Hybrid Way of Working
We understand that our colleagues have commitments and personal interests outside of work and we strive to build a flexible working environment, in which people can perform at their best. We are currently working 2 days per week (Tuesdays and Wednesdays) from our Euston Road offices (as part of our hybrid Ways of Working) with the remaining 3 days working either remotely or in the office.
From 1st September 2024 we will move to 3 days in the office (Tuesday, Wednesday and Thursday) with the remaining 2 days working either remotely or in the office.
Diversity and Inclusion is at the heart of everything we do
 
Diversity and Inclusion is a priority at Wellcome
. We are committed to cultivating a fair and inclusive environment, where everyone can be themselves and thrive. We are happy to discuss flexible working options for all roles. We work to ensure that our recruitment processes are as inclusive as possible to everyone. This includes making adjustments for people who have a disability or long-term condition. Please visit our
website
for more information on adjustments and accessibility, or contact us at
jobs@wellcome.org
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