Senior Machine Learning Engineer at Wellcome Trust | GB | Rezi

Senior Machine Learning Engineer at Wellcome Trust

Senior Machine Learning Engineer

Wellcome Trust · GB

4 days ago

Senior Machine Learning Engineer

Wellcome Trust · GB

4 days ago
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About the Role

The Wellcome Trust is seeking a Senior Machine Learning Engineer to join their team. This role involves collaborating with various teams to create models, tools, and services that leverage data, develop machine learning systems, and support decision-making to understand the impact of research. The position offers the opportunity to work on and lead machine learning projects, with a focus on natural language processing and computer vision for search algorithms.

Responsibilities

  • 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 internal data pipelines and machine learning tooling.
  • Contribute to a diverse and inclusive culture across both the department and the organisation.

Requirements

  • 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.

Skills

  • Machine Learning
  • Data Science
  • Computer Science
  • Statistics
  • Engineering
  • Mathematics
  • Python
  • SQL
  • Software Engineering
  • Deep Learning
  • PyTorch
  • TensorFlow
  • JAX
  • Natural Language Processing
  • Large Language Models
  • Transformer Models
  • Hugging Face
  • VLLM
  • LangChain
  • Data Pipelines
  • MLOps
  • Weights & Biases
  • AirFlow
  • AWS SageMaker
  • Docker
  • AWS
  • Azure
  • GCP
  • Computer Vision
  • Search Algorithms

Location

  • Euston Road offices

Work Type

  • Permanent
  • Hybrid

Experience Level

  • Senior

Education Level

  • MSc or PhD

Salary/Compensations

  • £65,360 - £81,700 p.a.

About the Company

  • 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.

Equal Opportunity

  • 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.