1 to 25 of 50 Neural Network Jobs in the UK

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 »

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 »

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 »

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 »

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 »

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 »

and Large Language Models (LLMs). Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph Neural Networks would be a plus. Strong publication record in relevant conferences or journals. more »

other database languages Experience Desirable Software Development experience, especially with containerised software in Docker and/or Singularity Experience Desirable Experience implementing deep neural networks in PyTorch or TensorFlow Experience Desirable Experience analysing Genomic/Transcriptomic datasets Skills Essential Ability to develop computational approaches to analyse data to 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 »

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 internal projects Part of a team of 7 reporting to the Head of Data Science Chance to upskill and mentor 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 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 »

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 »

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 »

Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data 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 »

web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile delivery, preferably Kanban and Scrum. Ability to communicate 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 »

languages such as Haskell, Idris, or Scala Practical experience with leading deep learning frameworks, including JAX, PyTorch, and TensorFlow Expertise in neural network architectures and a strong interest in category theory or type theory Exceptional communication and interpersonal skills Location: London, UK We offer competitive compensation, including more »

languages such as Haskell, Idris, or Scala Practical experience with leading deep learning frameworks, including JAX, PyTorch, and TensorFlow Expertise in neural network architectures and a strong interest in category theory or type theory Exceptional communication and interpersonal skills Location: London, UK We offer competitive compensation, including more »

languages such as Haskell, Idris, or Scala Practical experience with leading deep learning frameworks, including JAX, PyTorch, and TensorFlow Expertise in neural network architectures and a strong interest in category theory or type theory Exceptional communication and interpersonal skills Location: London, UK We offer competitive compensation, including 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 »

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 »

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 »

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 »