MachineLearning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) Join to apply for the MachineLearning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) role at University of Cambridge MachineLearning Engineer, Accelerate Programme for Scientific Discovery (Fixed Term) Join to apply for … Data Science (https://mlatcl.github.io/resources/). We're Looking For Experienced MachineLearning Engineers Who Have Deployed in ML-oriented software projects (e.g. the use of agile development techniques to respond to emerging research needs or experience in designing, testing and maintaining scalable data … pipelines) Sufficient breadth and depth of specialist knowledge in ML software packages to support ML-oriented software projects (e.g. expertise in helping scientists who are not machinelearning experts debug and resolve errors encountered when using popular machinelearning packages such as Scikit-learn, Hugging Face More ❯
AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machinelearning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created. … Where You Fit In We are seeking a MachineLearning Scientist to help expand our AI workbench for drug discovery. Pioneered by our company, the application of machinelearning and AI to drug discovery is a rapidly advancing field with many unsolved and exciting challenges. Whether … learning models for RNA biology, systems biology, and structural biology to solve frontier challenges in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies More ❯
Applied Science Manager, Traffic Quality ML Amazon is looking for an Applied Scientist with a machinelearning background to help build industry-leading Speech and Language technology. Key job responsibilities Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected … human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machinelearning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of … reviewed publications and whitepapers • Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production • Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution. • Learn More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machinelearning team. Responsibilities … Lead the end-to-end development of machinelearning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and … iterate rapidly to improve model performance. Stay current with the latest research and developments in machinelearning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, MachineLearning, Data Science, Statistics More ❯
MachineLearning Research Engineer A brilliant opportunity for a MachineLearning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to MachineLearning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape. Location: Cambridge - 3 days in office, 2 days remote Salary: Up to £100,000 depending on experience Requirements for MachineLearning Research Engineer A … Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in MachineLearning/AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level Published papers Good understanding of software engineering More ❯
What You Will Contribute To Altos As a MachineLearning Engineer, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology. We are looking for a hands-on, senior level creative and collaborative person to join our multidisciplinary team of … Partner with world-class scientists across Altos to help generate biological insights with the goal of developing novel therapies; Design and implement large-scale machinelearning algorithms and systems applied to biological datasets; Train, evaluate, and optimize machinelearning models at scale; Communicate effectively with internal … demonstrated by high-impact GitHub repository; Track record of high-caliber scientific work, e.g., demonstrated through publications in peer-reviewed scientific journals or major ML conferences; Experience with one lower level language (not limited to, but such as C++, Rust); Experience with large scale data processing and database tools such More ❯
Saffron Walden, Essex, United Kingdom Hybrid / WFH Options
Karlstad University
including millions of cells across multiple tissues and conditions (e.g., disease, healthy). This involves a detailed understanding of the training of large-scale ML models and a track record of undertaking large data-science projects. What you'll be doing: Independently manage and lead machinelearning projects … helps us understand biological processes and disease progression more deeply . You will work within an interdisciplinary team of life scientists and computer/ML scientists, with a shared objective of advancing biological research through these foundational models. This role will sit within the AI/ML Faculty group led … Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machinelearning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as work experience) Strong knowledge of Python, including core data science libraries such More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
Samsung Electronics UK
AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machinelearning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus … on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and … AI group collaborates closely with the Generative AI and Speech AI teams within the Embedded AI division, to develop innovate machinelearning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
NLP PEOPLE
Job Description: Arm's MachineLearning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team! This MachineLearning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large … optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems. Responsibilities : Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm … Tensorflow Lite • Experience of developing and maintaining CI/testing components to improve automation of model analysis • Good knowledge of Python for working with ML frameworks • Good knowledge of C++ for working with optimised ML libraries • Previous experience of machinelearning projects • Experience with deployment optimizations on machineMore ❯
role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Essential Skills … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors More ❯
Job DescriptionJob DescriptionSalary: Oxipital AI is on a mission to revolutionize the manufacturing industry with its cutting-edge AI-enabled machine vision solutions. These solutions drive greater resilience, operational efficiency, and sustainability in the most complex and critical manufacturing processes. As a fast-growing company striving to make a … difference every day, we are seeking a MachineLearning Operations Engineer to help build and maintain our cutting-edge machinelearning pipeline and the critical tools and infrastructure that support it. This role entails a particular focus on cloud-based pipeline infrastructure, CI/CD, deep … and is comfortable working in a fast-paced dynamic environment. We are looking for hands-on work experience in several of the following areas: ML model training using AWS resources, CI/CD pipelines for machinelearning, vision-based deep learning, edge deployment, neural network architecture design More ❯
MachineLearning Engineer MachineLearning Engineer - Remote UK - £80000 We are helping an innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine … Learning Engineer to help bolster their team. This role would suit a MachineLearning Engineer who is already confident working in ML environments, especially with NLP tools. This role is remote within the UK. Their office is based in Milton Keynes - you may need to visit the … office on rare occasions. To be a successful, the ideal MachineLearning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow or PyTest Excellent communication and problem solving skills. What is in it for you? As More ❯
Milton Keynes, Clapham Green, Bedfordshire, United Kingdom
Noa Recruitment Ltd
MachineLearning Engineer MachineLearning Engineer - Remote UK - £80000 We are helping an innovative tech business scale their technology team in the UK. Due to continued growth and demand for their products they now urgently need a Machine … Learning Engineer to help bolster their team. This role would suit a MachineLearning Engineer who is already confident working in ML environments, especially with NLP tools. This role is remote within the UK. Their office is based in Milton Keynes - you may need to visit the … office on rare occasions. To be a successful, the ideal MachineLearning Engineer candidate will have: · Highly skilled in Python. · Knowledge of AWS or GCP. · Ideally experience of SKLearn/Docker/MLFlow or PyTest · Excellent communication and problem solving skills. What is in it for you? As More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems (New)
mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in MachineLearning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems Applied Intelligence
mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in MachineLearning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have the opportunity to mix technical challenges with customer-facing and project support tasks. In … mining, knowledge graphs and/or graph machinelearning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. Lead technical delivery of More ❯