107 jobs for “Research Associate In Machine Learning A”
Outlier (by Scale AI)
Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated…
Outlier (by Scale AI)
Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated…
Isomorphic Labs · 201–500 people · Series A
Lead all externalised drug discovery and preclinical lab operations, building and scaling a global CRO infrastructure for an AI-first drug design platform. Oversee experimental throughput, data QC and turnaround times, embed data-generation-by-design standards, and manage vendor governance, budgets and a team of CRO leads and operations managers.
AlphaFold
Isomorphic Labs · 201–500 people · Series A
Lead medicinal chemistry strategy across drug discovery programmes, from hit identification through lead optimisation to candidate nomination, while working hands-on as an individual contributor. Partner closely with AI/ML platform teams to refine predictive models and manage CRO resources, mentoring junior colleagues in a hybrid London team.
AlphaFold
Faculty
A one-week unpaid work placement at Faculty's London offices for service veterans in their last 12 months of regular service, offering structured exposure to roles, processes and people across the Defence Business Unit. Participants gain insight into how a leading UK AI company operates and how machine learning is applied to defence challenges such as surveillance, reconnaissance and autonomous systems.
Metaview
Faculty
Owns and grows major Life Sciences accounts, acting as a strategic partner to pharma, academic and MedTech clients. Leads a cross-functional team of delivery and engagement specialists, driving commercial negotiations, sales planning and forecasting while translating complex AI concepts into client use cases. Combines business development with mentorship and thought leadership at industry events.
Metaview
University of Exeter
Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks, autoencoders and joint gene embeddings. The project is purely computational, with experimental pancreatic cancer data supplied by the AstraZeneca and Cancer Research Horizons Functional Genomics Centre for a lab-in-the-loop validation cycle.
Perturb-seq · DepMap · Project Score
