14 Neural Network Jobs in the UK with Remote Work 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 »

Your meticulous attention to detail ensures data quality and integrity throughout the preprocessing phase. You excel in training and fine-tuning neural network-based language models, leveraging large-scale text corpora to optimise model performance for specific NLP tasks. Your experience extends to selecting appropriate model architectures … for specific NLP tasks through exploratory data analysis (EDA) and validation against ground truth or domain knowledge. Demonstrated experience in training neural network-based language models from scratch using large-scale text corpora. Proficiency in selecting appropriate model architectures, hyperparameters, and training strategies to optimize model performance 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 »

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 »

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 »

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 »

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 »

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 »

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 »

Random Forests Analyse large datasets by: Applying feature analysis Utilising Permutation Importance Implement machine learning methodologies: Utilise TensorFlow/keras Create and optimise neural networks. Improve model efficiency. Dive into online user interaction data to: Maximise conversion rates. Unlock incremental increases in ROI. Create automated marketing systems with 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 »

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 »

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 »