126 to 147 of 147 Permanent Machine Learning Scientist Jobs

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 … 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 … 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 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 … 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++ More ❯

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 … 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 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 … 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 More ❯

in the biotech and pharmaceutical sectors. Their mission is to identify novel therapeutic opportunities through rigorous preclinical science. They are seeking a Lead Data Scientist to accelerate their platform by building intelligent, scalable data systems that enhance our experimental rigor and translational insights. Role Summary As Lead Data Scientist, you will drive the development and application of machine learning and data infrastructure to support in vivo R&D efforts. This includes behavior analysis from video data, biosignal processing, and development of automation tools that improve speed, accuracy, and reproducibility in preclinical research. You will collaborate closely … functions, improving data access, standardization, and workflow efficiency. Implement robust documentation and data versioning practices to support reproducibility and regulatory compliance. Behavioral Analytics & Deep Learning Build and deploy deep learning pipelines for behavior classification and motion tracking in rodent models using tools like TensorFlow, Keras, and Ultralytics. Oversee More ❯

clinicians in the detection and diagnosis of disease, supporting higher quality care, improved patient outcomes, and better value for healthcare payers. As a Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You … years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with More ❯

Applied Scientist II, SFT Machine Learning This role is to solve business problems in Machine Learning for the Seller and Fulfilment Tech (SFT) org. The overarching goal of the team is to enhance ML expertise and fluency within SFT and across IST, championing engineering and … area: Selection Recommendations, Registration improvements, Bad actor detection and prevention Selection economics, Inventory recommendation, Delivery Promise Predictions, Seller success. Within the ML space, the scientist would have to solve intrinsically hard problems where neither problem nor solution is well defined. So, the leader should have high focus on building More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme … Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to explore-everything from simple tours to extreme … Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role is a remote position More ❯

Social network you want to login/join with: Data Scientist/Machine Learning Engineer – RNA Design, paisley col-narrow-left Client: SRG Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 8 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description … About this job SRG are seeking a highly motivated and skilled data scientist to join our client and to focus on leveraging their proprietary platform to develop novel gene control systems for the cell and gene therapy space. As one of the first hires in this growing company, you … NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. #J More ❯

of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world problems and explain the results to non-technical clients … it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models More ❯

accelerate our growth. About the role: The mission of Borrowing Decision Scientists is to improve customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation … Excellent SQL and Python skills with a good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience of … offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses, and conferences. And much more, see our full list of benefits here . Equal More ❯

expanding Data and Decision Support Capability. We are looking for candidates who are adaptable, enthusiastic and highly motivated. You should have solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries … groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph … electronic/electromagnetic warfare and CEMA, acoustic data processing, radar in general, object tracking, sensor data fusion, space-domain awareness, (A)PNT, autonomy, human machine teaming and edge ML. Prior experience in managing and leading the delivery of research projects and teams is high desirable. Typical Responsibilities: Lead technical More ❯

in, even if you only have some of the experience listed below, please apply. Responsibilities Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance Implement best practices and innovate methods for uncertainty quantification Combine datasets of multiple fidelities and sources … developing relationships with key opinion leaders Report findings to stakeholders and leadership in written reports and verbal presentations. Qualifications Experience with uncertainty quantification, active learning and Bayesian Optimization Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks … experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field Strong self-starter and independent thinker, with More ❯

re in it together . All we ask of our people is that they play all in . You'll continuously strive to keep learning - whether you're a trainee or a Partner - and you'll be brave , stepping out of your comfort zone to tackle new challenges. Above … such as Python, C++, R Knowledge of AI, APIs, RPA and other emerging technologies A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms Deep understanding of principles and best practice in machine learning, with a focus on More ❯

such as Python, C++, R. Knowledge of AI, APIs, RPA and other emerging technologies. A deep understanding of the principles and best practice in Machine Learning for both supervised and unsupervised algorithms. Deep understanding of principles and best practice in machine learning, with a focus on More ❯

work. We've built a global research collaboration platform, reference management tool and open research database. The Role We are looking for a Data Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems …/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start … English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom More ❯

Job Views: 3 Posted: 05.05.2025 Expiry Date: 19.06.2025 col-wide Job Description: About this job SRG are seeking a highly motivated and skilled data scientist to join our client and to focus on leveraging their proprietary platform to develop novel gene control systems for the cell and gene therapy … NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. #J More ❯

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 … 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 More ❯

We are seeking a senior researcher to join our expanding Data and Decision Support Capability. The ideal candidate will have a strong background in Machine Learning (ML) and/or statistical signal processing, with excellent Python programming skills and experience with relevant libraries and toolboxes. This role is … interests. The Data and Decision Support Capability encompasses teams working on AI/ML applications such as RF, EW, radar, sonar, data fusion, reinforcement learning, agent-based ML, autonomy, image analysis, generative AI, LLMs, NLP, and graph ML. You will collaborate with multidisciplinary teams and engage in both technical … processing to sensor time-series data and decision-making. Experience in domains like RF communications, electromagnetic warfare, radar, acoustic processing, sensor fusion, autonomy, human-machine teaming, or space-domain awareness is highly desirable. Leadership experience in research project delivery is a plus. Typical Responsibilities: Lead technical project delivery and More ❯

from design to implementation. These duties are initial guidelines and may evolve over time to meet changing circumstances. KEY REQUIREMENTS Cooper Parry values continuous learning, bravery, and kindness. As a candidate, you should have: Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent experience. MSc or … Computer Science, AI, Data Science, or equivalent experience. Programming skills in Python, C++, R. Knowledge of AI, APIs, RPA, and emerging technologies. Understanding of Machine Learning principles, especially NLP and LLMs. Experience with open-source libraries like Matplotlib, Plotly, Python for data analysis. Experience handling large, complex data 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 ❯