1 to 11 of 11 Neural Network Jobs with Hybrid or WFH Options

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 »

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 »

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 »

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 »

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 »

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 »

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 »

2+ years of leading teams of 50+ engineers at large companies or 25+ at startupsExecution skills: resource allocation, program planning and executionDomain skills: neural net understanding/introspection and/or validationDomain skills: simulation of embodied/physical systemsEngineering skills: code development practices, testing, serviceabilityProduct delivery skills: roadmap more »

in all aspects of computer architecture relating to CPU's, GPU's and customer accelerators! My client also integrates advanced machine learning algorithms, neural networks, and state-of-the-art deep learning techniques into modern blockchain grafts. What’s Required? For this ML/LLVM Compiler Engineer role 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 »

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 »