1 to 25 of 43 Remote Neural Network Jobs

Master's degree in a science field (informatics engineering, computer science, mathematics, biomedical engineering, physics engineering, etc.) Good understanding of machine learning algorithms and concepts such as convolutional neural networks, recurrent neural networks, transformer architectures, decision trees, boosting, etc. Good programming knowledge in Python and its math & machine learning packages such as numpy, scikit-learn, pandas More ❯

and probabilistic representations for diverse 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-to-end modeling solutions. Conduct More ❯

to extract knowledge or insights 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 data and communicate it to More ❯

and differential privacy methods Familiarity with next-generation computing paradigms such as neuromorphic computing, brain-inspired architectures, or quantum machine learning Specialized knowledge in computational linguistics or graph neural networks for complex relational data Contributions to open-source machine learning projects or frameworks Please note: This role focuses on fundamental research that pushes beyond current AI paradigms to More ❯

into practical mission solutions. Preferred Experience and Qualifications: 5+ years of experience in AI/ML engineering, data science, or related fields. Strong background in machine learning algorithms, neural networks, natural language processing (NLP), and anomaly detection. Proficiency with Python and AI/ML libraries such as TensorFlow, PyTorch, Keras, scikit-learn, or similar. Experience with data engineering More ❯

from both structured and unstructured data. Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and precision. Design and implement algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes to manage More ❯

languages (e.g., Python, Java, R, Rust, C, C++ ), libraries (e.g., TensorFlow, Keras ) and platforms (e.g., MATLAB ) - Artificial Intelligence (AI) and Machine Learning (ML) techniques (e.g., reinforcement learning, graph neural networks, game theory, causal fusion, neuro-symbolic reasoning, GenAI ) - Formal methods for assurance, optimization, and verification/validation (e.g., formal specification, model-checking, theorem proving, reactive synthesis, cyber-physical More ❯

equivalent qualification, or other evidence of equivalent knowledge. Professional or research experience in some of the following: ML/NLP tools like PyTorch, Scikit-learn, Transformer architecture and Neural Networks. Coding and software engineering in mainstream programming languages, such as Python. Statistical packages for data manipulation and in development of predictive and prescriptive models (e.g. R, SAS). More ❯

Are Looking For Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV) Strong software engineering skills in Python and/or C++ Solid understanding of neural networks, image processing, and machine learning fundamentals Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration Experience with production-grade AI/ML systems is a big More ❯

Are Looking For Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV) Strong software engineering skills in Python and/or C++ Solid understanding of neural networks, image processing, and machine learning fundamentals Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration Experience with production-grade AI/ML systems is a big More ❯

ideally working with data engineering. Proficiency in statistical analysis, machine learning, and data mining techniques. A good understanding of key machine learning models, including Gradient Boosting Machines (GBMs), Neural Networks and Large language models (LLMs). Hands-on experience with popular machine learning libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Knowledge of AWS products and More ❯

scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops workflows Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine learning models in production. Proactive learning and researching … Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to … leave days per year Pension: Award winning pension scheme (up to 10% employer contribution) Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers) Lifestyle: Discounted Gym membership, Cycle to work scheme Training: Free access to more than More ❯

scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops workflows Work alongside Data Engineers and DevOps Engineers to ensure continuous integration and deployment of machine learning models in production. Proactive learning and researching … Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to … leave days per year Pension: Award winning pension scheme (up to 10% employer contribution) Wellbeing: Employee Assistance Programme with access to free mental health support, financial wellbeing support and network groups to demonstrate our ongoing commitment to diversity & inclusion (Enable, Pride, Equalise, Reservists, Carers) Lifestyle: Discounted Gym membership, Cycle to work scheme Training: Free access to more than More ❯

problem-solving skills with the 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-based AI/ML infrastructure More ❯

related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity with large language models and prompt engineering (desirable). A proactive More ❯

environment. A background leading Data 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 language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing More ❯

engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required Experience of deployment in a cloud environment Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas Experience with API development SQL experience Software engineering experience DevOps/MLOps experience Good working understanding of CI/CD If More ❯

or ergodic economics. • Familiarity working in cloud-based computing environments like Amazon Web Services, Google Cloud, or Microsoft Azure. • Experience applying various machine learning approaches (e.g., random forest, neural networks, support vector machines). • Experience working with databases (e.g., PostgreSQL, Oracle, MySQL, MongoDB, Neo4J). • Experience using version control (e.g., Git, Mercurial, SVN) to support collaborative development. • Experience More ❯

a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of More ❯

TS/SCI with polygraph 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 as Tableau. Experience in documenting More ❯

role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, 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 … allowing you to influence both IP and system architecture. Required Skills and Experience : • A background in computer science, software engineering or other comparable skills • Experience training and debugging neural networks with TensorFlow and PyTorch using Python • Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms. • Experience using software development platforms and continuous integration systems • Familiarity … a protected veteran. Company: ARM Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom More ❯

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 Python and PyTorch Hands-on experience with MLOps frameworks and platforms (We use ClearML!) Experience with additional programming languages More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to More ❯

equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics Experience of data science in finance, insurance or Ecommerce is an advantage but not required. Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply More ❯

background • Conducted research primarily in neuro-symbolic AI, combining methods such as answer set programming (ASP), ProbLog, Logic Tensor Networks (LTNs), or other logic-based frameworks with deep neural networks in semi/self-supervised tasks and/or reinforcement learning problems. • Expertise in working with Large Pre-trained Models (LPTMs), such as Large Language Models (LLMs), Vision More ❯