1 to 25 of 45 Remote Neural Network Jobs

ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end More ❯

to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Converting data into practical insights. Analysing and investigating data quality for identified More ❯

Strong foundation in data analytics and data science, including experience with data modeling, data mining, statistical computing, and machine learning methods (e.g., LLMs, neural networks, NLP, clustering, and predictive analytics). • Experience working with large data sets, ETL processes, and data visualization tools such as Power BI, Tableau More ❯

security clearance. Experience with machine learning methods, techniques and algorithms for natural language processing (NLP), computer vision (CV), and deep learning/deep neural networks. Experience in handling imperfection in data. Experience with statistical programming languages such as R, SQL, and Python. Experience with data visualization tools such More ❯

ability to implement robust, efficient, and scalable solutions. Excellent communication and collaboration skills in cross-functional environments. Preferred Experience: Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud More ❯

Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming languages including Python, Java, C/C++, R. Ability to work in a More ❯

Vision, Deep Learning, Machine Learning, AI, or NLP. * Strong mathematical and analytical skills, including knowledge of statistics and probability. * Experience with neural network architecture and deep learning techniques. * Proficiency in programming languages such as Python and Java. * Familiarity with big data and distributed computing. * Ability to explore More ❯

Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings More ❯

database solutions that are compliant with DISA STIG and NIST specifications (security controls). Develop data analytic models, incorporating machine learning (ML), deep neural networks (DNN), and large language models (LLM) to support business objectives. Support CI/CD initiatives and utilize static code analyzers to ensure high More ❯

analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands More ❯

Bonus Experience: Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks Following funds on chain by using block explorers. Job Benefits Hybrid working and the option to work from almost anywhere for up to More ❯

compliance certifications may be required in this position as directed by the customer. Scripting experience is a huge plus. Machine learning, artificial intelligence, neural networks experience is a huge plus (e.g. Tensorflow) NF We have many more additional great benefits/perks that you can find on our More ❯

best practices related to identity management, biometrics, facial recognition, and/or image quality. Experience with artificial intelligence (AI), to include machine learning, neural networks, and natural language processing (NLP), computer vision, or deep reinforcement learning. Experience in project management, including budgeting, scheduling, and resource allocation. Experience with More ❯

Working with customer/user representatives • Agile process and Core Digital Transformation, knowledge of Atlassian suite (confluence, JIRA etc) • AI/ML/Neural Networks experience Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/ More ❯

roles, supported by tailored mentoring and professional training opportunities. You will be encouraged to actively engage in industry and academic events, expanding your professional network and visibility within the quantum technology community. Our collaborative environment ensures that your contributions are recognised and that your career grows alongside our innovative … in cross-functional teams and handing off algorithms to software development teams. Nice to have experience Experience in machine learning, particularly neural network approaches to optical data analysis. Knowledge of anti-counterfeiting technologies or authentication processes. Benefits We are always listening to our team and evolving the More ❯

our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to More ❯

great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in More ❯

reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview More ❯

insights to executive audiences 5+ years of experience with a wide range of statistical methods, including descriptive and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms 5+ years of experience developing and deploying predictive models and other analytical tools More ❯

a remote position. We require candidates with a solid grasp of fundamental AI principles such as supervised learning, unsupervised learning, regression analysis, and neural networks. The role involves integrating AI models from different environments into existing BI tools to provide users with AI-enhanced visualizations and valuable insights. More ❯

maintain PyTorch integration for a custom AI platform. Build and optimize kernels and libraries for core AI operations. Create tooling for neural network deployment and optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks More ❯

algorithms, computer vision, image processing, point-cloud analysis - Simultaneous localization and mapping (SLAM), unscented Kalman filters (UKFs), particle filters - Artificial intelligence, machine learning, neural networks, optimization - Medium to large scale simulation or distributed simulation development using modern development practices - Flight software validation - Guidance, navigation, and control support for More ❯

in product managementbuying and building applications Experience working for a law firms or legal operations - mandatory Deep understanding of AI technologies: ML, NLP, neural networks Strong project management skills with multitasking ability Exceptional written and verbal communication Analytical mindset with proficiency in data tools Why Apply? Hybrid working More ❯

Company | AI/ML Drug Discovery | UK Remote, Up to £130,000 +Benefits Familiarity with foundation models in biology (e.g., protein folding, graph neural networks, molecular representations) Strong domain understanding of computational biology, cheminformatics, or molecular modeling Experience working on product discovery and delivery Strong experience working with More ❯

Company | AI/ML Drug Discovery | UK Remote, Up to £130,000 +Benefits Familiarity with foundation models in biology (e.g., protein folding, graph neural networks, molecular representations) Strong domain understanding of computational biology, cheminformatics, or molecular modeling Experience working on product discovery and delivery Strong experience working with More ❯