1 to 25 of 44 Permanent Neural Network Jobs in the UK

Architect to join their new NPU development centre in Cambridge. This company is developing never-before-seen technology for next generation neural network accelerators for edge devices and datacenters. They are building their Architecture team, seeking a NPU Architect with to innovate NPU (Neural Processing … code, with strong knowledge of either: Computer architecture (CPU/GPU), dataflow architecture, ISA design OR - AI acceleration, machine learning, dataflow architecture, or Neural Processing Unit (NPU)The successful candidate will earn an excellent salary and really enjoy working within this friendly, fast-paced and hugely innovative team. more »

behavior. Job Summary: We are seeking passionate Senior Developers and Data Scientists to join our team. You will work on novel Deep-Learning Neural Networks for machine vision applications, serving key clients in the UK public sector and defense and aerospace industries. Our eDNNs bridge the gap between … current Transformer and CNN solutions and future Spiking Neural Networks (SNN). These eDNNs address challenges in computer vision and object recognition, with continuous enhancements from our neuroscience-inspired research. Joining us means engaging in cutting-edge research, directly impacting product development and customer relationships. Your contributions will … Meet project milestones and deliverables. Job Skills & Qualifications: Required: Strong experience in Python and Pytorch Ability to create and explain customized neural network solutions. Proficiency in discussing and applying the latest deep learning/computer vision research. Experience in developing Transformer and CNN-based applications. Proven track more »

The Role: Your day-to-day responsibilities will include: Deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data more »

HMM based systems like Kaldi Experience in ASR systems with modern End2End architecture Hands-on experience in Acoustic Modelling with different Neural Network architectures and frameworks like Pytorch and TensorFlow Experience in language model training and adaptation pipeline. Experience in lattice rescoring with RNN or LLM models more »

whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph Neural Networks for healthcare related applications. We have a strong preference for the development of AI techniques that can be applied in the real … world and that directly contribute to social good. Your role will involve: The development of new state-of-the-art Graph Neural Network techniques to be applied to large scale data coming from healthcare applications Implementation of these techniques into proof-of-concept code and demonstrations that more »

understanding of the Retrieval Augmented Generation architecture and ideally deploying solutions leveraging RAG. GML/GNNs: expertise in graph machine learning/graph neural networks and practical applications. Technical expertise: Comprehensive knowledge of software engineering and industry experience using Python. Domain: ideally worked in the biological/science 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 »

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 »

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 »

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 clients Part of a team of 12 reporting to the Head of Data Science Chance to have 1 direct report more »

and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and more »

of a full time role depending on the outcome of the project. Qualifications Strong background in Computer Science Experience with pattern recognition and neural networks Knowledge of algorithms and data structures Proficiency in programming languages such as Python Ability to work independently and remotely Currently pursuing or recently more »

academic publications Excellent written and verbal communication skills The following skills are optional but desirable: · Experience with Graph based algorithms such as Graph Neural Networks · Working with knowledge graphs and graph databases · Experience in a healthcare related field such as cell simulation, bio-informatics or genomics Achieve together 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 »

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 unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data more »

Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural network training. Have practical experience with various Data Science and ML frameworks or tools. Excellent verbal and written communication skills Proficient in using MS Office 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 … 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 »

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 join a new and growing company working on Analog AI accelerator projects which utilizes Analog processing-in-memory to expedite neural network workloads. They are looking for an experienced Analog IC Design Engineer with team leadership experience who can take responsibility for growing a team of more »

Performance Tools Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise … CPU. However, in AI accelerator domain, the performance model has often been taken lightly due to the regular computation patterns of neural network models. However neural network models are getting bigger and much more complex every month, and it became almost impossible to estimate more »

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 »

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 »

PCA and clustering to glean real-time data from inline process measurements for enhanced process monitoring Developing soft sensors based on PLS and neural net models to predict slurry particle size and viscosity Implementing Bayesian methods and/or state-of-the-art methods for optimising the Design 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 »