1 to 25 of 50 Permanent Neural Network Jobs

Performance Tools Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neural network models. However neural network models are getting bigger and much more complex every month, and it became almost impossible to estimate more »

for deployment on mobile devices and user equipment. Utilize state-of-the-art deep learning architectures like ResNets, Transformers, and other neural network models, optimizing them for ondevice performance and energy efficiency. Integrate and optimize AI/CV models with mobile device hardware, including GPUs, specialized AI … ML frameworks such as PyTorch, TensorFlow, MXNet, JAX, and proficiency in programming languages like Python. Solid understanding of deep learning architectures, neural network design, and optimization techniques for efficient model deployment. Familiarity with mobile device platforms, Embedded systems, and hardware acceleration for AI/ML workloads. Knowledge more »

to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data 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 »

testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »

testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »

testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior team members If more »

selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity more »

and Large Language Models (LLMs). Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph Neural Networks would be a plus. Strong publication record in relevant conferences or journals. more »

well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Experience with graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with more »

candidates' extraction, model training as well as integration into our production systems. I ncorporate the latest academic and published research including neural network, transformers and reinforcement learning domains. Work closely with product managers, data scientists/engineers and designers on product teams to offer item recommendations for more »

of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses and more »

of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, Random Forest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of advanced quantitative analyses 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 »

Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance to upskill and mentor more »

and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and 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 »

Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have 1 direct report within an more »

Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data more »

Strong Python skills and understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting/predictive analytics, neural networks, hyperparameter tuning, NLP, and utilising LLMs. - **Communication:** Strong ability to communicate complex technical concepts to diverse audiences effectively. - **Management:** Previous line management experience. more »

generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neural network and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should possess basic Data Engineering experience to ingest, cleanse and more »

web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile delivery, preferably Kanban and Scrum. Ability to communicate more »

Role: Your day-to-day responsibilities will include: Deploying and productionising core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Engineering more »

Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to have 1 direct report more »

writing tests ● Familiarity with the Linux operating system ● Fluent in the core machine learning concepts, as well as training and optimising neural network models ● The ability to communicate complex ideas across a multidisciplinary team You get extra points if you: ● Solved sequence problems using deep learning ● Know more »