26 to 50 of 55 Neural Network Jobs

of these areas). You will look at the latest development within ML and design and deliver these across ML and Neural Network Methodologies. You will be involved in data analysis and statistical modelling. You will be writing high quality code and deploying these models both on 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 »

my client as well as having to license them through them. Key Skills for the role: Python AI Machine Learning Bonus Points: PyTorch Neural Networks OpenCV Single Shot Detector yolov text detection TensorFlow If at all interested please apply to job link or send your CV to (see more »

my client as well as having to license them through them. Key Skills for the role: Python AI Machine Learning Bonus Points: PyTorch Neural Networks OpenCV Single Shot Detector yolov text detection TensorFlow If at all interested please apply to job link or send your CV to Randstad more »

particularly the command line interface. - Demonstrable experience in common AI/ML frameworks such as PyTorch, TensorFlow, OpenNN. - Knowledgeable in different types of neural networks and other ML techniques, including Gaussian Processes, confidence measures, clustering techniques, and application of neural networking techniques. Desirable Requirements: - Ability to more »

develop multiple aspects of the associated SDK. The Senior Compiler Engineers 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 »

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 Python coding and knowledge of SQL. Experience of manipulating and making sense of data from disparate sources. Experience with the likes of Neural Networks and TensorFlow/PyTorch. Experience with cloud-based environments such as AWS, Azure, GCP etc. Snowflake experience is beneficial. Knowledge of tools such 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 »

top-tier conferences (e.g. NeurIPS, ICML, ICLR, AAAI, COLT) Experience with functional programming languages (e.g. Haskell, Idris, Scala) Deep expertise in neural network architectures and a strong interest in category theory or type theory Industrial or academic experience leading a research/technical team, and implementing novel more »

other database languages Experience Desirable Software Development experience, especially with containerised software in Docker and/or Singularity Experience Desirable Experience implementing deep neural networks in PyTorch or TensorFlow Experience Desirable Experience analysing Genomic/Transcriptomic datasets Skills Essential Ability to develop computational approaches to analyse data to more »

the following technical fields: Telecommunications, Computer Systems or other similar subject , with knowledge of one or more of the following: the air interface, core network, MIMO, small cell arrangements and network slicing in LTE and 5G, Wi-Fi network protocols and operation, cryptography or encryption, network security, quantum computing, computational physics, neural networks, virtualised and cloud computing, fault-tolerant computing, hardware design or database technologies. Working Location: This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to attend the office 1 day per week … be found via theCivil Service Pension Scheme Eligibility for special and office-wide bonus payments. The opportunity to form part of our many inclusive network groups, find out by looking atDisability Jobs,BME JobsandLGBT Jobs A variety of support functions including our excellent Staff Counselling Service which is a more »

an integral part of a growing team (20 to 40 people in 12 months!) Tech skills needed for this ML engineering role: Deep Neural Networks (DNN) Generative Adversarial Networks Deep Learning Define, evaluate and assess AI systems performance Explore and implement state-of-the-art algorithms to keep more »

ML group in the right direction, to the next latest thing in ML. Do you understand the inner workings of a neural network, as well having the know-how to implement on an AI accelerator? Have you spent at least 2 years building your leadership skills in more »

will have an in-depth knowledge of TVM and IREE coupled with strong C, C++ and Python skills. Any exposure to neural network design, DSP algorithm development, CUDA, Vulkan, DirectX, LLVM or GCC would be beneficial too. This is an exciting opportunity to work at the leading 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 »

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 »

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 »

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 »

following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab and Python. Very strong planning, prioritisation and organisational 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 »

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 »

to join a new and growing company working on Analog AI accelerator projects which utilises Analog processing-in-memory to expedite neural network workloads. Key Responsibilities will include: Design of RRAM-based computational memory arrays and sub-arrays. Working with system-level architects to ensure specifications are more »