51 to 64 of 64 Machine Learning Scientist Jobs

core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. ...

reshape how nature is valued in real‐world decision‐making, we’d love to hear from you. Role Purpose & Responsibilities We are hiring a Machine Learning Scientist to contribute to the development of models – from classical statistics and gradient‐boosted methods through to deep learning when … Must‐have requirements Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine‐learning experience, including time spent in an industry, product, or startup setting (shipping models). Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL ...

Partners. The Recommendations team builds models that power discovery at Depop, helping millions of users find items that they will love. As a Staff Machine Learning Scientist, you’ll set the technical vision for our next-generation recommendation models, lead high-impact initiatives, and mentor others … designing, deploying, and optimizing large-scale recommendation systems, including candidate retrieval and ranking models, with measurable impact in production environments. Deep understanding of machine learning fundamentals and applied experience with architectures including collaborative filtering, deep learning, and hybrid recommendation approaches. Proven ability to productionize ML models ...

more connected world.About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy … strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice ...

more connected world.About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy … strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice ...

more connected world.About the role: This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy … strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects.Skills and Experience RequirementsBSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice ...

ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push … will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Machine Learning Scientist to help build the next generation of generative and predictive models of cellular behaviour. Your work will be central ...

Machine Learning & AI Materials Scientist, you will be a part of Dassault Systèmes Gen7 vision and actively contribute towards its implementation. Materials AI is a strategically important, rapidly growing, and evolving core technology that will underpin the future of all Dassault Systèmes brands materials-related products … openness, innovation, quality, and continuous improvement. Qualifications PhD or Master in materials science, chemistry, mathematics, computer science or related fields. Practical experience with deep learning and machine learning algorithms and the use of popular AI/ML frameworks. Experience in coding (web, cloud, algorithms, industry processes...). ...

core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. ...

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams ...

Chase UK is seeking a Lead Machine Learning Scientist to drive end-to-end, cloud-native ML solutions for our International Consumer Bank. You will design and implement production-grade models, mentor junior colleagues and lead cross-functional teams through the SDLC lifecycle. Leverage data to solve ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … world model that is faithful enough, and fast enough, to train and evaluate driving models in closed loop — not only to replay logs.As a Machine Learning Engineer in the Simulation team, you’ll play a key role in developing next-generation world models and planners that can simulate ...

Applied Scientist (AI & Machine Learning) City, London (Hybrid - 3 days per week) £90,000 - 120,000, 15 - 20% bonus target We're looking for an experienced Applied Scientist to help shape the future of AI within a leading global insurance organisation click apply for full ...

000London AreaMachine Learning Research ScientistHelp define the research agenda for Physical AI from day one.We’re hiring a Founding Research Scientist for an ambitious UK startup building the models that will enable robots to understand, learn and act in the real world.You’ll tackle open-ended research across … robot learning, vision-language-action models and world models - developing new ideas, testing them on real robotic systems and turning promising research into working technology.What you’ll doLead research across robot learning, VLAs and world modelsDevelop new model architectures, training methods and data strategiesExplore how models can generalise ...