76 to 100 of 189 Neural Network Jobs in the UK

large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek ...

Domain experience. You have worked in credit risk, lending, or customer lifetime value modelling. Non-linear methods. You have shipped gradient boosting or neural networks on tabular data in production. Bayesian methods. You have used hierarchical models, MCMC, or Bayesian updating in real work. Time series modelling. ...

divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal ...

divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ...

debuggers, oscilloscopes, spectrum analysers, signal generators, and logic analysers, and lab bring-up of custom boards. What makes you stand out Synchronised FPGA interconnect network within a scalable cluster approach. Demonstrated experience with implementing stochastic problems, optimisation algorithms, neural network, or artificial intelligence/machine learning ...

Mentor and support Bind’s interdisciplinary team in machine-learning and data analysis methods Driving Innovation Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies Contribute to the design and execution of cutting-edge machine learning and NMR research projects that advance Bind … years of machine learning or model-building experience or a PhD with a similar focus Extensive knowledge of machine learning approaches, neural network architectures, training methods, and data preparation best practices Experience in applying machine learning and modelling techniques to graph-based data such as molecules ...

programming skills in Python and deep learning frameworks such as TensorFlow or PyTorch. Experience with training and fine-tuning large-scale neural network models on extensive datasets. Demonstrated ability to innovate and solve complex problems in AI research and development. Excellent communication and collaboration skills suitable ...

Responsibilities These include but are not limited to: Developing advanced AI/ML methods for analysing spatial genomics and histology datasets. Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions. Integrating spatial transcriptomics, single-cell sequencing and imaging datasets. Designing benchmarking strategies ...

trade sports markets. Strong Python skills, including NumPy, pandas, SciPy and scikit-learn, plus solid SQL. Hands-on experience with machine learning and neural networks using TensorFlow/Keras or PyTorch. Strong understanding of probability, statistical modelling and model calibration. Practical understanding of betting markets, odds, overround, liquidity ...

senior client audiences Nice-to-have: Experience shaping proposals, statements of work, roadmaps or discovery phases within a consultancy setting Experience building neural networks, transformers, LLM-based architectures or production AI platforms This role might not be the right fit if you're looking for: A highly structured ...

plane‐fitting (e.g., RANSAC, PnP) to achieve sub‐centimetre overlay accuracy and eliminate tracking drift. Translate research papers into real‐time algorithms, optimising neural networks and spatial pipelines for low‐latency execution on mobile NPUs, DSPs, and GPUs. Build spatial foundations that deliver seamless on‐device AR experiences ...

degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Preferred Skills Experience with gradient-boosted tree models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data ...

with ability to execute and prioritize well in a complex matrixed environment.Relevant areas of desired expertise:Molecular representation learning for small molecules, graph neural networks, geometric deep learning, property prediction for ADME PK, physiochemical properties, safety, de novo design, chemical space exploration, foundation models for chemistry, uncertainty quantification ...

advantage: A background in decision making (Bayesian optimization, bandits, reinforcement learning, active learning) and/or probabilistic modelling and methods (Gaussian processes, Bayesian neural networks, Variational inference, etc). Experience in numerical programming (Python/NumPy/Tensorflow/PyTorch). Experience or interest in applying machine learning ...

plane-fitting (e.g., RANSAC, PnP) to achieve sub-centimetre overlay accuracy and eliminate tracking drift.Translate research papers into real-time algorithms, optimising neural networks and spatial pipelines for low-latency execution on mobile NPUs, DSPs, and GPUs.Build spatial foundations that deliver seamless on-device AR experiences, barcode/ ...

services lending.Familiarity with transfer learning, domain adaptation, or techniques for combining datasets of different sizes and relevance.Experience with non-linear models (gradient boosting, neural networks on tabular data) in production settings.Python proficiency – it's what the team uses day to day.The salaryWe expect to pay from ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes ...

applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes ...

search or adsStrong CS fundamentals. Should be able to convert ideas to code with easeGood understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plusWe'd love to see that ...

seeking a Senior Solutions Architect with deep expertise in large-scale neural network inference and a proven ability to lead technical collaboration with frontier AI labs and enterprises deploying AI at scale across EMEA. In this role, you will define the technical direction for AI inference across ...

hardware-aware ML. Help shape the long-term direction of Rivian’s edge AI stack, including support forincreasingly large and complex neural network models. Qualifications Deep experience in machine learning systems, model deployment, or AI infrastructure. Strong background in model optimization for edge or accelerated inference, includingquantization …/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking ...

aware ML. Help shape the long-term direction of Rivian’s edge AI stack, including support for increasingly large and complex neural network models. Qualifications Qualifications Proven experience leading or managing teams in machine learning systems, model deployment, or AI infrastructure. Strong background in model optimization …/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking ...

systems in early-stage startups or small greenfield teams. This is a strong positive signal. Hands-on production experience with graph neural networks, anomaly detection, or behavioural biometrics, beyond prototyping or fine-tuning. Familiarity with AWS (SageMaker, Lambda, S3, Athena) and CI/CD practices. Experience mentoring ...

trading strategies have evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. XTX Markets has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently ...