1 to 25 of 25 Permanent Neural Network Jobs in London

/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 »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 Bonus Projects: Neural Networks, NLP, Machine Learning … with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR …/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C more »

with numerous publications at prestigious conferences. As a Research Engineer, you'll collaborate globally to tackle complex deep learning challenges, focusing on graph neural networks and pioneering new foundation models in healthcare. The Impact Your research will directly contribute to real-world applications with a profound social impact more »

/graphics processing or computer vision (minimum of 36 months experience) Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design … and test of advanced convolutional, recurrent, transformer-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or more »

/graphics processing or computer vision (minimum of 36 months experience) Solid background in one or more of the following: (i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design; (ii) design … and test of advanced convolutional, recurrent, transformer-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or 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 membersIf this more »

Corporation or Microsoft would be a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in Data mining, Data warehousing, ETL more »

techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional … diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs more »

stakeholders, so it s equally important that IT Project Managers understand how to manage stakeholder relationships. Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy at least three or more) Experience in in management either at a more »

PowerPoint and presentation/communication skills Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering/random forest (desirable) Tech Stack: SQL, Python, R, Tableau, Power BI, AWS Athena more »

management experience, with a knack for leading cross-functional teams and mentoring. - Advanced analytical skills, with experience in deep learning and knowledge of neural networks (TensorFlow, PyTorch). - Familiarity with cloud computing platforms (AWS, GCP, Azure) and MLOps practices, including tools like MLFlow, BentoML, and Evidently AI. - Awareness more »

well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with more »

engineering role, with exposure to: Implementing python libraries using OOP principles Experience applying DL or NN model architectures to geometric data (e.g., graph neural networks) Extensive experience with numerical and DL libraries (e.g., JAX and PyTorch) Using distributed computing frameworks (e.g., Ray) Docker for development and deployment Experience more »

advanced analytics or machine learning algorithms. An understanding of data science and machine learning concepts and algorithms such as clustering, regression, classification, forecasting, neural networks, hyperparameter tuning, NLP, and utilising LLMs. An understanding of the importance of effective communication with clients and experience of relaying complex technical concepts more »

using techniques such as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen more »

using techniques such as Multi-Touch Attribution, Marketing Mix Modelling or similar would be highly desirable Knowledge of machine learning techniques such as Neural Nets, Random Forest or XgBoost and working with LLMs and associated techniques would be beneficial You are highly driven, dedicated, and have a keen more »

market data, driving business strategy and the design of our quantitative market making platform Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive market making and risk management decisions in real time Be in the platform software development across a range more »

to solve real world financial problems Build/run in-house developed and third party ML models in production Deep learning research (Graph Neural Networks) Natural language processing (Semantic search, Generative LLMs) Datapoint extraction Develop novel methods to facilitate financial research from unstructured data. We are a research more »

and achieve acceptable performance. At Kumo, we are building a machine learning platform for data lakehouses, enabling data scientists to train powerful Graph Neural Net models directly on their relational data, with only a few lines of declarative syntax known as Predictive Query Language. The Kumo platform enables more »

Autonomous Driving product. We are looking for an experienced Machine Learning Engineer to help us in our journey to scale end-to-end neural networks for autonomous driving. You ll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine more »

Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ … jobs/1707297412-NLP-Machine-Learning-Engineer?utm_campaign=nlppeople&utm_source=nlppeople&utm_medium=organic Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified #J-18808-Ljbffr more »

benefit of the team. QUALIFICATIONS A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity … Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom #J-18808-Ljbffr more »

Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data ScienceChance to have 1 direct report within an 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 »

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 »