Salary : £63,349.00
Closing Date : Thursday, 11 July 2024
Contract Type : Fixed Term Contract - 18 months
Wellcome 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.
These challenges need the bold research our funding supports, but they won’t be solved by science alone. We are looking for a Machine Learning Engineer to join our growing Machine Learning team.
In this role, you will work together with an interdisciplinary team of software engineers, data engineers, analysts, and designers to help Wellcome gain a deeper understanding of its funding data and inform decision-making.
You will have the opportunity to develop machine learning models understand our research funding and it’s impacts. With an emphasis on natural language processing and network analysis. You will work with open-source software in a highly collaborative team, developing, maintaining, and proposing new solutions to enhance our data science offering to the organisation

In this role you will:

• Propose, develop, and evaluate machine learning models with an emphasis on natural language processing
• Translate business problems to data science tasks and present complex results to stakeholders
• Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling
• Identify opportunities where machine learning can help Wellcome make better decisions
• Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across departments

Is this job for me?

To be successful in this role you will have:

• Good knowledge of Python and SQL.
• Good experience with core data science libraries such as: Scikit-Learn, Pandas, PyTorch/TensorFlow, Hugging Face.
• Knowledge of core machine learning and natural language processing techniques such as supervised/unsupervised learning, text classification, text mining and topic modelling
• Experience with version control systems such as git/GitHub, python package management, unit testing and code reviews
• Experience working with data exploration and data visualisation packages, such as: Pandas, Matplotlib, Bokeh, Plotly, Tableau

To apply please upload your current CV and complete our short application form.
Interview dates: W/C 22nd July for 1st interview and W/C 5th August for 2nd interview
You can view the full job description on our
website
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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LI-Hybrid

In this role you will:

• Propose, develop, and evaluate machine learning models with an emphasis on natural language processing
• Translate business problems to data science tasks and present complex results to stakeholders
• Collaborate on a cross-functional team, sharing ideas, doing code reviews, maintaining, and improving our internal data science tooling
• Identify opportunities where machine learning can help Wellcome make better decisions
• Identify opportunities where machine learning can help Wellcome make better decisions Contribute to a diverse and inclusive culture across the organisation, collaborating across department

To be successful in this role you will have:

• Good knowledge of Python and SQL.
• Good experience with core data science libraries such as: Scikit-Learn, Pandas, PyTorch/TensorFlow, Hugging Face.
• Knowledge of core machine learning and natural language processing techniques such as supervised/unsupervised learning, text classification, text mining and topic modelling
• Experience with version control systems such as git/GitHub, python package management, unit testing and code reviews
• Experience working with data exploration and data visualisation packages, such as: Pandas, Matplotlib, Bokeh, Plotly, Tablea