76 to 97 of 97 Permanent Machine Learning Scientist Jobs

deeply engaging pursuit. Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development Academic … Collaboration: Collaborate with leading universities and contribute to the broader scientific community Benefit from a hybrid work model, combining remote and on-site collaboration Conduct innovative research in machine learning and artificial intelligence Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date with the latest … advancements in AI and related fields PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Proficiency in programming languages such as Python, C++, or similar Experience in optimization, reinforcement learning, and/or large language models (LLMs) Work on groundbreaking AI research with real-world applications and a strong commitment to open More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term … Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Experience … communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML Preferred Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly More ❯

Machine Learning Scientists/Engineers, Cambridge, UK Astex Pharmaceuticals is a global leader in innovative drug discovery, utilizing its proprietary Fragment-Based Drug Discovery platform to develop new drug candidates, with several progressing in clinical trials. The company focuses on Neurological Disorders and Oncology. The Role We are seeking Machine Learning Scientists/Engineers for permanent … and 3-year fixed-term contracts to develop innovative machine learning methods for structure-based drug discovery. You will work on advancing computational tools that impact the design and optimization of therapeutics, leveraging extensive proprietary datasets and cutting-edge AI techniques in a collaborative environment. Responsibilities: Design and implement ML models for structure-based drug design, including protein … with multidisciplinary teams to translate research into production solutions. Profile and Skills: PhD or equivalent in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity More ❯

first 25 applicants Direct message the job poster from Enigma Founder @ Enigma | Creator of Vision to Venture Podcast & The Neural Network Community We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

The Role: Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts, and other Machine Learning Scientists, playing a key role in building machine learning models. Responsibilities: Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space. Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems. Design and conduct large-scale experiments to test hypotheses and drive product development. Keep up to date with applied research, contribute to knowledge sharing, and apply new techniques … and present technical findings to both technical and non-technical audiences. Skills and Experience: Experience developing ML models to solve real-world problems, with a background as a Data Scientist or Machine Learning Scientist. Proficiency in Python. Solid understanding of machine learning concepts, with familiarity working with frameworks such as TensorFlow or PyTorch. Collaborative and More ❯

Machine Learning Researcher - Deep Tech A highly skilled Machine Learning Researcher is required to join an innovative deep-tech bio company, focusing on leading development efforts in generative AI, including diffusion models, language models, and novel algorithm development. This role is ideal for someone who thrives on designing foundational models and developing novel AI methodologies from … of AI and life sciences, developing proprietary algorithms that identify and accelerate the discovery of promising drug candidates. Their team is pushing the boundaries of what's possible in machine learning, working on fundamental advancements that have real-world impact. What You'll Do: Design and develop novel machine learning algorithms tailored to address complex and … conferences such as NeurIPS, ICML, and ICLR. Shape and implement proprietary AI solutions that redefine how drug candidates are identified and validated. Who You Are: PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline. A strong publication record as a first author in leading AI venues (e.g., NeurIPS, ICML, ICLR). Expertise in generative AI More ❯

Join to apply for the Machine Learning Scientist - Rosalind role at Relation Join to apply for the Machine Learning Scientist - Rosalind role at Relation About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies … to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. Machine Learning Scientist – Rosalind About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our … human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing More ❯

Machine Learning Scientist – Ada London About Relation RRelation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and … machine learning to drive disease understanding—from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and … talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives. Opportunity As a Machine Learning Scientist within the Ada team, you will focus on designing and applying machine learning techniques to advance our understanding of gene regulatory networks and More ❯

Come join an exciting new project utilizing cutting edge technologies in Chantilly, Virginia. Skill-sets: Python, Databricks, LLM (Large Language Model), NLP (Natural Language Processing), model tuning, containerization (Docker/Kubernetes), model validation/testing, prompt engineering, scaling/optimization More ❯

Associate Machine Learning Scientist page is loaded Associate Machine Learning Scientist Apply remote type Partially Remote locations London, UK time type Full time posted on Posted 6 Days Ago job requisition id JR4784 Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With … to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. The Role: Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts and other Machine Learning Scientist, playing a key role in building machine learning models. Responsibilities: Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems Design and conduct large-scale experiments More ❯

which is their vision. You should apply for this role if you are : From a PhD or MSc background in a highly numerate subject with strong experience in NLP & Machine Learning projects Programming skills in Python & knowledge of scikit-learn You can be either a recent graduate or have commercial experience Ideally you will have a background of … trying to change the everyday life of almost everyone on the planet Not interested in a hierarchical environment Intellectually curious The firm will also offer successful NLP Research Data Scientist the opportunity to indulge their own passion projects within the company. Send me your CV to apply now for the NLP Research Data Scientist role with this Stealth More ❯

Senior/Principal Machine Learning Scientist - Causality London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue … functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment … extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity We are seeking an exceptional Machine Learning Scientist with expertise in causal inference to help build the next generation of predictive, mechanism-aware models of cellular behaviour. Your work will be central to More ❯

breakthroughs, revolutionise maternal and early childhood health through precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour throughout pregnancy, enabling a holistic understanding of … as contribute to academic publications. The post holder is expected to hold a PhD degree in Bioinformatics, Computer Science or other relevant discipline. They will have skills in deep learning for wearable data analysis. Experience of studying health data science and/or machine learning for healthcare would be beneficial. This is a full time post … successful in this role, we are looking for candidates to have the following skills and experience: PhD in Bioinformatics, Computer Science or other closely related discipline Experience in deep learning with a focus on predictive modelling for healthcare applications using wearable data (e.g., physical activity, heart rate, heart rate variability, sleep patterns) Sufficient breadth or depth of specialist knowledge More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Machine Learning Research Scientist | Generative Models | Protein Design | Deep Learning | Python | Hybrid, LDN We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling is sought to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

We are looking for multiple highly skilled machine learning researchers with strong expertise in generative modeling to join an interdisciplinary team of machine learning experts, protein engineers, and biologists. The team collaborates to transform how biology is controlled and diseases are cured. The role involves architecting innovative generative models aimed at designing new proteins that demonstrate … team is driven by innovation, curiosity, and a commitment to creating significant positive global impact. Requirements Expertise in generative modeling: The ideal candidate has a proven track record in machine learning, with experience leading or contributing to high-profile projects, as evidenced by widely used open-source libraries, major product launches, or impactful publications (e.g., NeurIPS, ICML, ICLR … running models on cloud hardware and parallelizing data and models across accelerators. Data engineering capabilities: The candidate is experienced in building ML data pipelines for training and evaluating deep learning models, including raw data analysis, dataset management, and scalable pipeline construction. Passion for optimization: They possess in-depth knowledge of ML libraries, hardware interactions, and optimization techniques for model More ❯

Social network you want to login/join with: Customer Facing Machine Learning Scientist, london col-narrow-left Client: Skills Alliance Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 23.05.2025 Expiry Date: 07.07.2025 col-wide Job Description: Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python programming. Familiarity with data processing pipelines and cloud-based … to open-source projects in computational biology. Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization. Track record of scientific publications in machine learning or computational biology. Experience in therapeutic or diagnostic development program #J-18808-Ljbffr More ❯

Machine Learning Scientist – Rosalind About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering … team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients’ lives. The Opportunity As a Machine Learning Scientist within the Rosalind team, you will design and apply advanced machine learning techniques to DNA and genetic data. This role is ideal for More ❯

Machine Learning Scientists and Engineers: AI for Quantum Join to apply for the Machine Learning Scientists and Engineers: AI for Quantum role at Quantinuum Quantinuum is building a new AI team, currently comprising 14 employees, and is talent pooling for future roles. Please register your interest to be considered for upcoming opportunities. Note that responses may … and using quantum computers pose numerous challenges. Modern AI methods show promise in addressing these challenges, requiring quantum computing scientists to identify use cases and design experiments. As a Machine Learning Scientist in the AI for Quantum team, your role involves designing ML experiments in collaboration with ML engineers and quantum scientists, developing tools and frameworks to … quantum stack. You will have access to Quantinuum’s top-tier quantum computers, with applications including circuit optimization, quantum algorithm design, and error mitigation or correction strategies. As a Machine Learning Engineer, you will utilize state-of-the-art methods alongside quantum scientists to solve problems such as circuit compilation, error-correcting code discovery, and demonstrating quantum advantage More ❯

poses numerous challenges. Modern AI methods show promise in tackling them, requiring quantum computing scientists to identify use cases and design experiments. Roles in the AI for Quantum Team Machine Learning Scientist Design ML experiments in collaboration with ML engineers and quantum scientists. Lead the development of tools applying AI to quantum computing, with access to Quantinuum … s quantum computers. Applications include circuit optimization, quantum algorithm design, and error mitigation strategies. Machine Learning Engineer Use state-of-the-art methods with quantum scientists to solve problems in the quantum stack, such as circuit compilation and error correction, and explore quantum advantage by integrating quantum computers with AI systems. Responsibilities Research novel AI use cases for … Experience in applied AI for scientific problems. Previous quantum computing experience. Knowledge of quantum advantage literature. Desirable Skills Knowledge of quantum physics or related fields. Experience with large-scale machine learning and high-performance computing. Benefits Work with a talented team, competitive package, equity, paid holidays, pension, flexible working, and parental benefits. About Quantinuum Quantinuum is a leading More ❯

Machine Learning Scientist (General Interest) Date: Aug 1, 2024 We are looking for a Machine Learning Scientist in Bayesian Optimisation. You will be working closely with scientists in the materials space to build machine learning models (OptApps) that will inform laboratory experimentation schedules, anywhere from complete-manual to fully self-driving. Responsibilities … ease of usability and interpretation. Validating the effectiveness of the models and tackling deeper research challenges, with the opportunity to publish. Minimum Requirements: You must have relevant experience in Machine Learning, specifically Bayesian Optimisation, at MSc/PhD level to complete the above work. Location: Hybrid/Oxford/London (anywhere in the UK) Matterhorn Studio is leading More ❯