Marshall Wolfe is seeking a Data Scientist in London, offering a hybrid role with three days in the office. You will join an engineering team building advanced machine learning solutions that help organisations make smarter, data-driven decisions.
The ideal candidate has a strong academic background in CS, statistics or math, with hands-on Python/SQL skills and experience with PyTorch or TensorFlow. You’ll own end-to-end modeling, experiments and deployment in production.
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Hybrid Data Scientist - ML & AI Modeling for Impact employer: Marshall Wolfe
Joining our team as an Infrastructure & Security Engineer in Luton offers you the chance to work within a dynamic and supportive environment that prioritises employee growth and development. With a hybrid working model, you can enjoy a balanced work-life while contributing to impactful technology initiatives that enhance security and infrastructure. Our commitment to fostering a culture of collaboration and innovation ensures that you will be part of a forward-thinking organisation dedicated to your professional advancement.
