Lead Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team More ❯
Lead Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team More ❯
Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll More ❯
Our Shipamax Data Science team seeks a highly skilled and motivated Machine Learning Engineer with 2+ years' of experience. This team sits within Wisetech's Digital Document portfolio and develops AI-based software to extract information from documents, structuring critical More ❯
Lead/Principal Data Scientist London – Hybrid (3 days a week) £90,000 - £115,000 + Benefits Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data More ❯
Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. More ❯
end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for More ❯
UX that blends AI + human collaboration. Tech Stack Backend : Elixir (Erlang) & Phoenix (prior experience not required) Frontend : Vue.js (React experience transferable) AI Framework : PyTorch (no prior experience needed) Seeking 5+ years as a Full-Stack Engineer in a product-focused role. Passion for early-stage startups and small-team More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Venturi
UX that blends AI + human collaboration. Tech Stack Backend : Elixir (Erlang) & Phoenix (prior experience not required) Frontend : Vue.js (React experience transferable) AI Framework : PyTorch (no prior experience needed) Seeking 5+ years as a Full-Stack Engineer in a product-focused role. Passion for early-stage startups and small-team More ❯
Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their … a commercial Machine Learning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in … The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence +++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++ More ❯
Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday) Machine Learning Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their … a commercial Machine Learning role Solid experience of Java and Python A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Familiarity with cloud platforms (AWS) and Kubernetes for deploying A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in … The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Machine Learning Engineer - Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence +++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++ More ❯
Senor/Principal AI/ML Engineer – Biotech Salary: £80,000 - £120,000 Location: London/Remote A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data More ❯
Senor/Principal AI/ML Engineer – Biotech Salary: £80,000 - £120,000 Location: London/Remote A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data More ❯
hiring additional talent to our rapidly growing team The role will be exposed to a broad tech stack (e.g. ReactJS, Python, REST & GraphQL, OpenCV, PyTorch, GCP, AWS & CUDA, Kubernetes) and the cutting edge of computer vision and deep learning. Qualifications The right candidate will have a proven track record of … applied research teams. Requirements for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Entrust
We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯
We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
East London, London, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
london (city of london), south east england, United Kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
london (west end), south east england, united kingdom Hybrid / WFH Options
Owen Thomas | Pending B Corp™
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯
or pharmaceutical R&D problems. Deep experience building and deploying ADMET-focused models using graph neural networks (e.g., ChemProp) and transformer architectures. Proficiency with PyTorch or PyTorch Lightning and experience in designing large-scale model training workflows. Advanced understanding of assay protocols and methods for harmonizing heterogeneous ADMET datasets. Proven More ❯