1 to 25 of 63 Permanent Neural Network Jobs

PCA and clustering to glean real-time data from inline process measurements for enhanced process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design more »

The Role: Your day-to-day responsibilities will include: Working on core segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 8 reporting to the Head of Data Science - working closely with a wider Engineering more »

batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance measurement & optimization more »

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 »

relevant degree. Experaince with ML libraries and frameworks like TensorFlow, PyTorch, Keras. Hands-on experience of building ML solutions experience with neural network architectures, deep learning techniques Knowledge of AI tools Want to hear more about this Senior Machine Learning Consultant role? Apply today or drop me 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 »

Big Data and AI technologies such as Hadoop, Spark, OpenAI and Claude as well as architectures and domains such as Computer Vision, NLP, Neural Networks, Machine Learning, Generative AI, Data Warehouse and LakeHouse to name a few. Solid understanding of one or more of the Data & AI portfolios more »

/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ARTIFICIAL INTELLIGENCE/INNOVATION/SECURITY CLEARANCE/DV CLEARED/SC CLEARED/SC CLEARANCE/SECURITY CLEARANCE more »

We are looking for a goal oriented and driven AI/ML Engineers with relevant experiences. Key Responsibilities: Neural Network Training : Develop and train advanced neural network models to meet specific functional requirements. Deployment and Integration : Efficiently deploy these neural networks on … trends. Skills and Qualifications: Minimum 2 years of experience in building AI/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and frameworks such as TensorFlow or PyTorch. Experience with server deployment, cloud computing environments, and API development. 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 »

knowledge graphs (KG) by reasoning over and inferencing from existing KG data using graph data science (GDS), graph machine learning (GML), and Graph Neural Networks (GNNs) approaches. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy more »

in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group more »

management skills, with a proven track record of delivering projects on time and within scope. fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS more »

influences business strategy. Provides subject matter expertise in operationalizing recommendations. Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Seeks opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera more »

Job DescriptionPerformance Tools Engineer in Cambridge, UKAbout NeublaAs 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 and … 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 »

and AI algorithms to unlock valuable insights.ResponsibilitiesSpearhead projects with cross functional leadersUse models like regression and propensity models, time-series, ensemble methods and neural networksSeek out opportunities to make an impact using the latest ML methods (NLP and Gen AI)Be the go-to authority for data products 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. Benefits (Remote must be within 4-5 hours of CET timezone more »

business problems, using coding in SAS/Python/R or similar Have deep knowledge of different advanced techniques, such as Gradient Boosting, Neural Networks, Support Vector Machines, unsupervised learning methodologies etc., including of their merits and limitations Have hands-on experience of leading, motivating and mentoring a more »

project management skills, with a proven track record of delivering projects on time and within scope.fundamentals in programming, statistics, mathematics, and ML algorithms (neural networks, tree-based methods, optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python requiredunderstanding of the ML/DS frameworks more »

Job DescriptionAI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMsRole: Lead Data ScientistLocation: Remote - Occasional Meetings in London (Client)Company: AI Analytics Start-UpSalary: up to £130,000 + BonusProjects: Neural Networks, NLP, Machine Learning, Deep LearningResponsibilitiesAnalyse … prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsLead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLPNLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/… Deep LearningRequirementsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)Experience with applied Neural Networks (CNN & RNN), LLMsDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Experience Managing more »

NPU Architect to join their new NPU development centre in Cambridge.This company is developing never-before-seen technology for next generation neural network accelerators for edge devices and datacenters. They are building their Architecture team, seeking a NPU Architect with to innovate NPU (Neural Processing … and assembly code, with strong knowledge of either:architecture (CPU/GPU), dataflow architecture, ISA design– AI acceleration, machine learning, dataflow architecture, or Neural Processing Unit (NPU)The successful candidate will earn an excellent salary and really enjoy working within this friendly, fast-paced and hugely innovative team. more »

including developing multiple aspects of the SDK. The Senior Compiler Engineer will be working alongside AI experts developing algorithms for transforming and optimising Neural Networks for In-Memory Computing and for creating tools for high quality software development processes. You will be an experienced Compiler Engineer with a more »

to enhance the performance and efficiency of blockchain execution environments. Blockchain Integration: Work closely with blockchain engineers to integrate advanced machine learning algorithms, neural networks, and deep learning techniques into blockchain frameworks. Explore new approaches to enhance blockchain scalability, security, and performance using cutting-edge technologies. Research and 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 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 »