10 of 10 Permanent Machine Learning Engineer Jobs in Cambridgeshire

Job title: Principal/Senior Machine Learning Engineer Location: Central Cambridge, UK (Hybrid/Flexible) Reports to: Head of Platform Technology Our Company Ride Therapeutics is a recently formed transatlantic biotechnology company with the mission of unlocking the full potential of mRNA & gene editing therapeutics through targeted … deliver any molecular cargo, to any cell type, with a tunable release profile. The Opportunity Ride Therapeutics is seeking a highly adaptable and innovative Machine Learning Engineer to drive machine learning and broader data analysis workflows for the development of innovative new nanoparticle drug delivery … will directly contribute to advancing cutting-edge genetic medicines, transforming the landscape of biomedicine and potentially impacting millions of lives. In this role, the Machine Learning Engineer will harness massive, complex datasets related to nanoparticles being used for delivery gathered with Ride’s proprietary discovery platform spanning More ❯

Job title: Principal/Senior Machine Learning Engineer Location: Central Cambridge, UK (Hybrid/Flexible) Reports to: Head of Platform Technology Our Company Ride Therapeutics is a recently formed transatlantic biotechnology company with the mission of unlocking the full potential of mRNA & gene editing therapeutics through targeted … deliver any molecular cargo, to any cell type, with a tunable release profile. The Opportunity Ride Therapeutics is seeking a highly adaptable and innovative Machine Learning Engineer to drive machine learning and broader data analysis workflows for the development of innovative new nanoparticle drug delivery … medicines, transforming the landscape of biomedicine and potentially impacting millions of lives and enabling key scientific discoveries along the way. In this role, the Machine Learning Engineer will harness massive, complex datasets related to nanoparticles being used for delivery gathered with Ride’s proprietary discovery platform spanning More ❯

Job title: Principal/Senior Machine Learning Engineer Location: Central Cambridge, UK (Hybrid/Flexible) Reports to: Head of Platform Technology Our Company Ride Therapeutics is a recently formed transatlantic biotechnology company with the mission of unlocking the full potential of mRNA & gene editing therapeutics through targeted … deliver any molecular cargo, to any cell type, with a tunable release profile. The Opportunity Ride Therapeutics is seeking a highly adaptable and innovative Machine Learning Engineer to drive machine learning and broader data analysis workflows for the development of innovative new nanoparticle drug delivery … medicines, transforming the landscape of biomedicine and potentially impacting millions of lives and enabling key scientific discoveries along the way. In this role, the Machine Learning Engineer will harness massive, complex datasets related to nanoparticles being used for delivery gathered with Ride’s proprietary discovery platform spanning More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos Altos Labs is seeking a Staff Machine Learning Engineer who can accelerate and optimize our progress in developing foundation models for biology. This role is integral to our Computational … services, and expertise. It will involve close collaboration with computational scientists from a diverse range of disciplines, including molecular modeling, computational biology, discrete simulation, machine learning, and artificial intelligence. Responsibilities: Designing, building, and evaluating large-scale machine learning systems including data transformation pipelines, feature stores, distributed … training, architecture optimization, model management & serving, etc. Motivated to build, deploy, and manage systems to accelerate large-scale machine learning workflows in an integrated, usable framework. Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning, etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

Pathology up to functional analysis In Vivo. We will enable and accelerate the Altos mission by leveraging state of the art computer vision and machine learning, and collaborating with MLOps at Altos to make all our models easily trainable, findable, interpretable, and accessible across diverse research groups. Responsibilities … performance tracking to train large models with distributed training across multiple nodes. Build, deploy, and manage multi-modal analysis pipelines for scientific analysis, and machine learning workflows in an integrated, usable framework. Understand scientists' needs across a wide range of scientific disciplines by collaborating with both users and … should have relevant industry and/or academic experience. Experience with one or more programming languages commonly used for large-scale data management and machine learning, such as Python, C++, Pytorch/Tensorflow, Pytorch Lightning etc. Previous experience with Machine Learning at scale: Large Language Models More ❯

to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building … and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and … documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred More ❯

to work in, even if you only have some of the experience listed below, please apply. The Role We are seeking a mid-level Machine Learning Operations Engineer to join our growing team. In this role, you will focus on unifying data management at Lila by building … and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and … documentation for staff Qualifications: 3+ years of experience in software engineering, with a focus in data engineering or DevOps Demonstrated experience deploying and maintaining machine learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred More ❯

in a scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of … including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Requirements Master’s degree or Postgraduate (preferred) qualification More ❯