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 ❯
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 ❯
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 ❯
Research Assistant/Associate in MachineLearning (Fixed Term) Join to apply for the Research Assistant/Associate in MachineLearning (Fixed Term) role at University of Cambridge Research Assistant/Associate in MachineLearning (Fixed Term) 1 day ago Be among the first … applicants Join to apply for the Research Assistant/Associate in MachineLearning (Fixed Term) role at University of Cambridge We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the MachineLearning Group in the Department of Engineering, University of … also expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the MachineLearning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the More ❯
Spearheading the integration of machinelearning into cutting-edge electronics This innovative team of engineers and scientists are using machinelearning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes … through a machinelearning revolution you can be here, leading the charge. You will work across the whole machinelearning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final … for the next. Requirements: Strong knowledge of Python and its use in machinelearning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machinelearning techniques across multiple domains and the ability to transition into new domains More ❯
Spearheading the integration of machinelearning into cutting-edge electronics This innovative team of engineers and scientists uses machinelearning integrated with modern electronics to create new products and improve existing ones. As the industry undergoes a machinelearning revolution, you can lead the … charge. You will work across the entire machinelearning development lifecycle, from initial concepts through data collection, cleaning, and preparation, to prototyping, testing, and evaluation. Your models will be integrated with advanced electronics, resulting in fully functional prototypes and demonstrator units manufactured at small scale. This group works … on multiple projects per year, ranging from computer vision to generative models. Requirements: Strong knowledge of Python and its use in machinelearning, including hands-on experience with frameworks such as TensorFlow and PyTorch Broad knowledge of machinelearning techniques across multiple domains with the ability More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics
At Speechmatics, we are searching for a Director of MachineLearning to help us push the boundaries of applied AI and transform how the world interacts with voice technology. As pioneers in machinelearning for speech, our mission is to Understand Every Voice-a vision that … steer our innovation in Conversational AI and guide us on the path to achieving and surpassing the "Speech-first Turing Test." As Director of ML, this is your chance to make an impact on a global scale. You will lead and inspire world-class teams of researchers and machinelearning engineers, driving breakthroughs that will shape the future of AI-driven speech technology. What you'll be doing: Shape and articulate a forward-looking vision for MachineLearning at Speechmatics, aligning research priorities with our ambitious product roadmap. Identify and execute high-impact research opportunities More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Speechmatics Limited
We are hiring a Principal MachineLearning Engineer to work on cutting-edge Research & Development. As innovators in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be world leaders of Voice AI, with STT, TTS, and Flow; our brand new … supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Drive diverse groups of engineers to achieve … Grow the engineers around you through mentorship and support, ensuring we are all continuously improving together. This position allows you to influence what the ML team is working towards, and to efficiently leverage other engineers to increase the output of your experience. Who we are looking for: Someone who can More ❯
New hybrid MachineLearning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented MachineLearning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key … models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the MachineLearning Engineer job: MSc/PhD in a relevant field with strong ML/… recognition would be beneficial This is a great opportunity for a MachineLearning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Candidates must live within 1 hour of Cambridge and be able to commute to the More ❯
Social network you want to login/join with: New hybrid MachineLearning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented MachineLearning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low … models on production-scale datasets Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research Key skills/experience required for the MachineLearning Engineer job: MSc/PhD in a relevant field with strong ML/… recognition would be beneficial This is a great opportunity for a MachineLearning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire. Apply now for the hybrid MachineLearning Engineer job in Cambridge, Cambridgeshire. #J More ❯
Applied Science Manager, Alexa Conversational Modeling & Learning Job ID: 2911993 | Evi Technologies Limited As an Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your … build LLMs including all phases (CPT, SFT, LHF) that work at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machinelearning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a … to impact the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS - PhD - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience directly managing scientists or machinelearning engineers - Experience programming in Java, C++, Python or related language - Experience More ❯
This innovative team of engineers and scientists are using machinelearning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machinelearning revolution you can be here, leading … the charge. You will work across the whole machinelearning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. … for the next. Requirements: Strong knowledge of Python and its use in machinelearning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machinelearning techniques across multiple domains and the ability to transition into new domains More ❯
the role As a MachineLearning Operations (MLOps) Engineer, you’ll be responsible for managing, releasing and monitoring MachineLearning (ML) and Artificial Intelligence (AI) artefacts using automated frameworks. You’ll also optimise ML/AI code written by our Data Scientists into Production-ready software … according to agreed performance and cost criteria. You’ll play a key role ensuring that ML/AI projects are setup for success via the automation of residual manual steps in the development and production lifecycle. You’ll also provide essential insights into the ongoing predictive capability and cost of … deployed ML/AI assets using language and visualisations appropriate for your audience. It’s an opportunity to work across multiple projects concurrently. You’ll use your judgement to determine which projects and teams need most of your time. You’ll contribute to early engagements through strong communication skills, domain 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 machinelearning, 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 machinelearning 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 machinelearning, such as Python, C++, Pytorch/Tensorfllow, Pytorch Lightning etc. Previous experience with MachineLearning at scale: Large Language Models More ❯
Peterborough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
Social network you want to login/join with: MachineLearning Engineer – London – Exciting Early-Stage Start-Up Are you looking for you next MachineLearning Engineering role? Do you want to be a part of an exciting and hard-working team? This may be the … position for you! This MachineLearning Engineer role is an early-stage position as the company is only beginning to scale this year. The founders have a very successful background with an incredible portfolio of previous projects. Working within a start-up company will provide you with the … a small and high performing team as well as the capability to work well independently. You should be driven to design and build elite machinelearning and computer vision software solutions. Ideally you should have: A solid academic background, preferably from a leading University with high grades in More ❯
University Assistant Professor in MachineLearning 2025-02-26 Cambridge The successful candidate will contribute to research and teaching in Information Engineering, developing an independent research portfolio, securing grants, and mentoring students. Teaching responsibilities span all four years of the undergraduate MEng program, with a focus on 3rd … and 4th-year modules in machinelearning, computer vision, and probabilistic modeling, as well as opportunities to teach and supervise graduate students. Research: The candidate will be expected to contribute to the research and teaching within Information Engineering. Assistant Professors are expected to develop their own research portfolio … undergraduate course, with an emphasis on 3rd and 4th year Information Engineering modules. The successful candidate can expect to contribute to courses related to machinelearning and/or computer science, such as the 3rd year module in Inference (3F8), and 4th year modules in Deep LearningMore ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Samsung Electronics Perú
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
Speechmatics
We are hiring a Senior MachineLearning Engineer to contribute to cutting-edge Research & Development. As pioneers in speech technology, our mission is to Understand Every Voice-a vision that has propelled us to be at the bleeding edge of Voice AI, consisting of STT, TTS, and Flow … platform. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced MachineLearning Engineer to accelerate our efforts towards exceptional Voice AI. Our Modelling Team trains diverse models, including large self-supervised ones … supporting Speechmatics towards being the most accurate speech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. What you'll be doing: Work with a diverse group of engineers More ❯
social and environmental impact through activities that are part of their core business strategies. Position Summary: We are seeking a visionary Senior AI/ML Scientist to be part of ground-breaking research at the forefront of somatic genomics . You will be part of a dynamic team at Quotient … quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras. Extensive experience with MachineLearning and Deep Learning models (e.g., tree-based methods … CNNs, Transformers) and developing robust, production-ready ML systems. Strong communication skills, with the ability to convey complex ideas to both experts and non-experts through discussion and clear documentation. Excellent problem-solving and prioritization skills, with a collaborative mindset suited to a fast-paced, evolving environment. Passion for applying More ❯