25 Permanent Neural Network Jobs in London

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 »

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 … how the brain makes sense of the world. The project team will work on the development of a novel enhanced convolutional neural network based on a proprietary approach already developed by the company. Applied Computer Vision Data Scientist - job responsibilities: Enhance our machine learning software with the …/computer vision algorithms. Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neural network systems based on our research outputs. Work to customise and implement our machine learning solutions for use by prestigious and demanding customers. Contribute to more »

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 how the brain makes sense of the world.The project team will work on the development of a novel enhanced convolutional neural network based on a proprietary approach already developed by the company.Applied Computer Vision Data Scientist - job responsibilities:Enhance our machine learning software with the latest … learning/computer vision algorithms.Apply existing knowledge of Transformers and CNNs, machine vision & image analysis techniques to the development of enhanced neural network systems based on our research outputs.Work to customise and implement our machine learning solutions for use by prestigious and demanding customers.Contribute to development and more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

consultative approach to distil complex requirements into robust data science models such as regression and propensity models, time-series modelling, ensemble methods, or neural networks for optimal decision-making. Spearhead initiatives with cross-functional stakeholders. ● Opportunity Identification: Partner with business stakeholders to unearth untapped data science applications utilising more »

cluster computing and containerization Experience working in parallel/scalable languages such as Spark or Dask Experience working with knowledge graphs and graph neural networks Biotech or biopharma experience, ideally within R&D Experience in a startup or scale-up environment Dewpoint Therapeutics is the first company founded 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 »

documentation, code refactoring...)· A love of data and understanding of some algorithmic/analytics such as decision tree, clustering, NLP, regression, graph theory, neural networks etc.· Expertise in some aspects of Data Management and readiness to grow in others: o Data analytics architectures;o Data governance processes 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 »

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 »

forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be 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 »

closely with other ML-oriented teams at Liftoff. We use many modern ML frameworks and architectures, including Spark and PyTorch to build deep neural networks.Location:This role is located in Liftoff's Hub in Paris, France or can be in any of the following locations: England or Germany. 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 »

SysML, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR, or similar.Expertise in at least one of the following areas:Distributed learning and optimization.Recommendation systems.Graph neural networks.AI/ML Security and Privacy.Proficiency in Python, Tensorflow, and C++.Proven ability to design and implement complex algorithms and models.Strong problem-solving skills 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 NetworksDeep LearningDefine, evaluate and assess AI systems performanceExplore and implement state-of-the-art algorithms to keep our product on more »

as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model 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 »

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 adhered 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 »

forefront of research in computer science, mathematical finance, and portfolio management. Exercise the freedom to explore and implement captivating ideas in machine learning, neural networks, and mathematical finance. Immerse yourself in a meritocratic, collaborative, and entrepreneurial culture that promotes innovation and personal growth. Are you ready to revolutionize more »

experience in configuring training and inference setups for open-source models. Proficiency with vector databases such as Milvus and Pinecone. Excellent understanding of neural networks and advanced LLM architectures. Good experience in programming with languages such as Java, Python, or Go. more »