1 to 25 of 40 Neural Network Jobs with Hybrid or WFH Options

AI) development and optimisation. As part of a team, you will be working on developing software tools and libraries to optimise neural network performance collaborating with hardware engineers, architects, and other developers. You will collaborate to push the limits of processor capabilities and develop software to leverage … these. You will gain an understanding of Neural network models and algorithms to optimise and improve performance and integration. They are looking for someone with a strong programming background in Python & C/C++ with experience of software optimisation techniques including parallelisation, vectorisation, and memory optimisation. You … will a solid understanding of neural network architecture and algorithms. They are looking for someone with a strong academic background coupled with solid industry experience within a challenging technical environment. You will need strong communication skills including good written and verbal experience as well as ideally some more »

client delivers systems that can perceive and understand the world with the same semantic richness as the human brain and using the same neural mechanisms they believe are at work in the brain. Their approaches are inspired by their recent advances in theoretical neuroscience, which are beginning to … how the brain makes sense of the world. The project team will work on the development of a novel enhanced convolutional neural network based on a proprietary approach already developed by the company. Applied Computer Vision Data Scientist - job responsibilities: Enhance our machine learning software with the …/computer vision algorithms. Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neural network systems based on our research outputs. Work to customise and implement our machine learning solutions for use by prestigious and demanding customers. Contribute to more »

client delivers systems that can perceive and understand the world with the same semantic richness as the human brain and using the same neural mechanisms they believe are at work in the brain.Their approaches are inspired by their recent advances in theoretical neuroscience, which are beginning to deliver … of how the brain makes sense of the world.The project team will work on the development of a novel enhanced convolutional neural network based on a proprietary approach already developed by the company.Applied Computer Vision Data Scientist - job responsibilities:Enhance our machine learning software with the latest … learning/computer vision algorithms.Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neural network systems based on our research outputs.Work to customise and implement our machine learning solutions for use by prestigious and demanding customers.Contribute to development and more »

industry. Embedded AI Software Development Engineer Responsibilities: Spearhead the development of software tools and libraries aimed at enhancing the performance of neural network inference. Foster collaboration with hardware engineers to grasp processor capabilities, facilitating the creation of tailored software solutions. Partner closely with machine learning researchers to … Development Engineer Requirements: You will need to be knowledgeable in Python & C/C++ programming languages and posses comprehensive knowledge of neural network architectures and algorithms. Providing a demonstrated expertise in software optimisation techniques is also a big plus. If you are interested in this position or more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

Science, Mathematics, Statistics, Physics, Engineering, or a related field. Strong background in deep learning, with hands-on experience in developing and implementing deep neural networks using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries more »

such as numpy, pandas, and scikit-learn Experience with deep learning frameworks (PyTorch, JAX, Keras, Tensorflow) Strong theoretical understanding of machine learning and neural networks Experience with containerized processes (Docker, Kubernetes) Familiarity with cloud services and distributed computing frameworks (AWS, PySpark, Ray Distributed) Problem-solving aptitude and creative more »

documentation, code refactoring...)· A love of data and understanding of some algorithmic/analytics such as decision tree, clustering, NLP, regression, graph theory, neural networks etc.· Expertise in some aspects of Data Management and readiness to grow in others: o Data analytics architectures;o Data governance processes and more »

Our client based in Brentford is seeking a Senior Data Scientist (Spiking Neural Networks) to join their team.MFK Recruitment has successfully recruited 4 individuals to the team in the past 3 years, all 4 candidates are still with the company and enjoying their roles!The Senior Data Scientist … client delivers systems that can perceive and understand the world with the same semantic richness as the human brain and using the same neural mechanisms they believe are at work in the brain.Their approaches are inspired by their recent advances in theoretical neuroscience, which are beginning to deliver … of practical usable applications to join a growing project team. The project team will work on the development of a Spiking Neural Network (SNN) Engine designed for practical engineering applications.The successful applicant will have current experience working on the development of SNNs, with strong coding skills in more »

Data Scientist that wants to design and push boundaries in the Remote Sensing and Environmental space using Python, Deep learning/ML and Neural networks and ideally some experience practically developing learning in Computer Vision Our clients mission is to empowers efforts to heal ecosystems globally. We champion more »

skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding of Big more »

Proficiency in Python Strong NLP experience – NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure more »

features, NumPy, keras, pandas, NLTK, scikit, SpaCy > Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector more »

or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience in statistical more »

features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version more »

features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version more »

features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version more »

forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be more »

you: Proficiency in Python Strong NLP experience – NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big more »

in Python Strong NLP experience with tools like NumPy and Pandas Demonstrable experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks, and ML frameworks such as TensorFlow and PyTorch Advocate of promoting MLOps best practices and continuous learning Experience mentoring junior engineers What's more »

and co-operative environmentKey Skills: Research Scientist (Geometric Vision); Machine Learning, Python, ML, AI, Artificial Intelligence, Deep Learning, Natural Language Processing, Computer Vision, Neural Networks, PyTorch, Infrastructure, Machine Vision, ICML, ICVPR, NIPS, Publications, Autonomous Driving, Autonomous Vehicles, Reinforcement LearningJob typePermanent more »

across the business personalising the customer shopping experience online through past behaviours and predictive modelling building and working with models from scratch, across neural networking, segmentation, regression, propensity to buy/churn/lapse analyse the performance and success of statistical modelling, personalisation and marketing performance overseeing a more »

SysML, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR, or similar.Expertise in at least one of the following areas:Distributed learning and optimization.Recommendation systems.Graph neural networks.AI/ML Security and Privacy.Proficiency in Python, Tensorflow, and C++.Proven ability to design and implement complex algorithms and models.Strong problem-solving skills and more »