20 of 20 Remote Neural Network Jobs in the UK

ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply and innovate on methods like Bayesian neural networks , variational autoencoders , diffusion models , and Gaussian processes for modern AI use cases. Collaborate closely with product, engineering, and business teams to build end More ❯

strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with a focus on optimizing performance and scalability for real-world applications. Demonstrated ability to mentor and lead technical More ❯

ability to implement robust, efficient, and scalable solutions. Excellent communication and collaboration skills in cross-functional environments. Preferred Experience: Expertise in neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud More ❯

Science teams in an eCommerce or conversion rate optimisation-focused environment is a plus. Hands-on experience with Machine & Deep Learning, AI and Neural Networks tools including Python, Spark, Tensor Flow. Competencies across core programming languages including Python, Java, C/C++, R. Ability to work in a More ❯

Vision, Deep Learning, Machine Learning, AI, or NLP. * Strong mathematical and analytical skills, including knowledge of statistics and probability. * Experience with neural network architecture and deep learning techniques. * Proficiency in programming languages such as Python and Java. * Familiarity with big data and distributed computing. * Ability to explore More ❯

Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification, deep embeddings More ❯

analysts, fostering a culture of technical excellence and innovation. Key Skills & Experience Strong expertise in statistical modelling and machine learning techniques (GLMs, GBMs, neural networks, etc.). Experience in pricing or market modelling, preferably in insurance. Proficiency in Python and SQL for data analysis and model development. Hands More ❯

Bonus Experience: Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks Following funds on chain by using block explorers. Job Benefits Hybrid working and the option to work from almost anywhere for up to More ❯

roles, supported by tailored mentoring and professional training opportunities. You will be encouraged to actively engage in industry and academic events, expanding your professional network and visibility within the quantum technology community. Our collaborative environment ensures that your contributions are recognised and that your career grows alongside our innovative … in cross-functional teams and handing off algorithms to software development teams. Nice to have experience Experience in machine learning, particularly neural network approaches to optical data analysis. Knowledge of anti-counterfeiting technologies or authentication processes. Benefits We are always listening to our team and evolving the More ❯

our recruitment team. We are looking for: We are particularly interested in candidates with experience in ONE of the following: Neuromorphic Computing, Spiking Neural Networks and event-based event monitoring/sparse data. Or: Advanced statistics and experience operationalising academic research Security clearance: You must be able to More ❯

great technical understanding of various machine learning approaches, which would include regression methods, probabilistic pricing models, tree based gradient boosting approaches, information theory, neural networks, transfer learning, etc. While your focus will be primarily on the Valuations and Pricing Team you'll also work alongside your peers in More ❯

reliability. Experience with large-scale data analysis, manipulation, and distributed computing platforms (e.g., Hive, Hadoop). Familiarity with advanced machine learning methods, including neural networks, reinforcement learning, and other cutting-edge Gen AI approaches. Skilled in API development and deployment, with a focus on performance and scalability. Interview More ❯

maintain PyTorch integration for a custom AI platform. Build and optimize kernels and libraries for core AI operations. Create tooling for neural network deployment and optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks More ❯

in product managementbuying and building applications Experience working for a law firms or legal operations - mandatory Deep understanding of AI technologies: ML, NLP, neural networks Strong project management skills with multitasking ability Exceptional written and verbal communication Analytical mindset with proficiency in data tools Why Apply? Hybrid working More ❯

ARM (Cortex-M and -A) is the main target. We work on new technologies like AI IoT devices with TensorFlow Lite Micro for neural networks. We have some work in quality controlled industries, like medical and intrinsic safety (SIL/IEC61508/ISO13485). Not all work is More ❯

ARM (Cortex-M and -A) is the main target. We work on new technologies like AI IoT devices with TensorFlow Lite Micro for neural networks. We have some work in quality controlled industries, like medical and intrinsic safety (SIL/IEC61508/ISO13485). Not all work is More ❯

for various functions including control state machine DSP, and multiple clock domain interface management. Their technology provides fast and easy conversion of trained Neural Networks into miniscule AI silicon chips with ultra-low power consumption, low latency and small size. Key Responsibilities Develop test benches and test cases More ❯

play a pivotal role in the architecture, design, and implementation of future ASIC solutions. Their technology provides fast and easy conversion of trained Neural Networks into minuscule AI silicon chips with ultra-low power consumption, low latency and small size. Responsibilities Lead architectural discussions and drive design decisions More ❯

and symbolic systems. You'll design and implement neurosymbolic architectures that preserve the interpretability advantages of symbolic AI while incorporating the flexibility of neural networks. Beyond the neurosymbolic integration work, you'll contribute to broader innovation around our core platform. You'll explore emerging technologies and methodologies that … within the AI landscape. Preferred Experience Candidates who stand out will also bring: Experience in creating integrated AI systems that blend symbolic and neural methodologies, pushing the boundaries of conventional AI applications. Exposure to graph-based reasoning and the construction and utilization of knowledge graphs, facilitating sophisticated data More ❯

AI/ML. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networkss; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote …/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. Autonomy In addition: Current right to work in the UK is essential. Ability More ❯