At a Glance
- Tasks: Lead machine learning projects to enhance data value and support decision-making.
- Company: Join the Wellcome Trust, a global leader in health improvement.
- Benefits: Competitive salary, flexible hybrid working, and a commitment to diversity.
- Other info: Collaborative environment with opportunities for continuous learning and career growth.
- Why this job: Make a real impact on global health challenges through innovative machine learning solutions.
- Qualifications: Advanced degree in a quantitative field and strong Python skills required.
The predicted salary is between 65360 - 81700 £ per year.
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.
You will collaborate with software and data engineers, analysts, designers and the business to create models, tools and services that enhance the value of the data available to Wellcome. You will develop machine learning systems and analytics to support decision making within Wellcome and help us comprehend the reach and impact of the research we support.
As a Senior Machine Learning Engineer, you will:
- Identify opportunities where machine learning can help Wellcome make better decisions.
- Translate business problems to data science tasks and present complex results to stakeholders.
- Develop and evaluate machine learning models with an emphasis on natural language processing.
- Collaborate on a cross-functional team, sharing ideas, knowledge and reviewing code.
- Maintain and improve our internal data pipelines and machine learning tooling.
- Contribute to a diverse and inclusive culture across both the department and the organisation.
We are looking for an experienced senior machine learning engineer who has a passion for our mission in reducing global health inequalities to join our team. If you have a deep understanding of machine learning concepts and techniques and enjoy working on complex problems and making impactful contributions, continuous learning and tackling challenging problems will further hone your skills, keeping you at the forefront of the rapidly evolving field of machine learning.
To apply for this role please submit an updated CV and answer 2 application questions to demonstrate that you meet the minimum requirements for the role.
Minimum Criteria:
- Advanced degree (MSc or PhD) in a quantitative field such as machine learning, data science, computer science, statistics, engineering or mathematics.
- Strong Python and SQL skills with a grounding in software engineering best practices.
- In-depth understanding of a deep learning framework such as PyTorch, TensorFlow or JAX.
- Strong knowledge of modern natural language processing techniques, large language and transformer models, and libraries such as Hugging Face, VLLM and LangChain.
- Proven experience owning the development of large scale, high impact machine learning solutions from initial experimentation through to deployment.
- Strong knowledge of data science libraries such as Polars, Pandas, NumPy, Scikit-learn.
- Knowledge of MLOps tooling such as Weights & Biases, AirFlow, AWS SageMaker or Docker.
- Experience working with cloud platforms such as AWS, Azure or GCP.
- Experience working collaboratively in a multidisciplinary team.
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. At Wellcome we have a hybrid way of working which is 3 days in our Euston Road offices (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.
Senior Machine Learning Engineer in London employer: Wellcome Trust
The Wellcome Trust is an exceptional employer, offering a unique opportunity to contribute to global health initiatives while working in a collaborative and inclusive environment. With a strong commitment to diversity and continuous learning, employees are encouraged to grow their skills and tackle complex challenges in machine learning. The hybrid working model allows for flexibility, ensuring that team members can balance their professional and personal lives effectively while making a meaningful impact on health inequalities worldwide.
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We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
