18 of 18 Remote Neural Network Jobs in London

Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCGs mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What youll … least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar 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, diffusion-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 similar Desired qualifications: Publications, e.g. in top-tier conferences and journals: IEEE Transactions More ❯

Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG's mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you … least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar 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, diffusion-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 similar Desired qualifications: Publications, e.g. in top-tier conferences and journals: IEEE Transactions More ❯

looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. You will be instrumental in pushing the boundaries of what … processing pipelines and devise effective solutions, improving performance and reliability. Maintain high standards of code quality, organization, and automatization across all projects. Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. Write and revise papers, participate in conferences, communicate and disseminate results. Basic Qualifications: Degree in Computer … and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs. Experience with data and model visualization tools. Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep More ❯

systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. More ❯

and common ML libraries such as TensorFlow, PyTorch, or similar. Experience with Jupyter Notebooks and version control (Git/GitHub). Basic understanding of supervised/unsupervised learning, neural networks, or clustering. Analytical Abilities Ability to interpret data trends, visualize outputs, and debug model behaviour. More ❯

leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture Experience with 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 biological ontologies Experience with complex More ❯

go-to expert in one or more technical areas. Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.). Conduct rigorous data analysis and statistical modelling to explain and improve models. Report results clearly and efficiently, both More ❯

environment. A background leading Data 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 language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing More ❯

and a growth mindset. What You’ll Do Design, build, and scale machine learning models using environmental and observational data. Apply advanced causal inference techniques such as Bayesian Neural Networks, Gaussian Processes, Difference-in-Differences, and Synthetic Control methods. Leverage foundation models (e.g. Prithvi, Clay) and transformers to extract insights from complex datasets. Work cross-functionally with science More ❯

We are very passionate about 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? Play an active role in hiring, mentoring and career development More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. **Please note, as projects are defence related, you will need to More ❯

working together to deliver an 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. Youll be working across our embodied AI org team to build, integrate, test and scale algorithms, tools, and machine learning solutions for autonomous driving. Challenges More ❯

Previous experience within Personal Lines Pricing is advantageous Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A good quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science More ❯

Experience in SOME of the following predictive modelling techniques e.g. Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave) Experience of using Emblem and Radar Highly numerate with excellent attention to detail Ability More ❯

You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to More ❯

highly distributed models- over uniquely decentralised and heterogeneous infrastructure, rather than GPU clusters Research novel model architectures- design, build, test, and iterate over completely new ways of building neural networks; with an eye towards achieving byzantine tolerance in a trustless compute setting Publish & collaborate- write research papers targeting top-tier AI conferences such as AAAI, ICML, IJCAI and More ❯

engineers in Hardware Design and Hardware Verification to join us on this mission. If you thrive on innovation and want to work on cutting-edge vector processing and neural compute technologies, this is your opportunity. Design Responsibilities: Architect and implement RTL for critical blocks within our RISC-V vector core GPU Design high-performance, power-efficient compute units … computer architecture Experience with GPU, vector processors, or AI accelerator design Familiarity with RISC-V instruction set architecture (preferred) Understanding of graphics pipelines and/or neural network accelerators Awareness of physical design implications (DFT, timing, floorplanning) Proficiency with EDA tools (Synopsys, Cadence, Mentor, etc.) Strong scripting skills in Python, TCL, or similar BS/MS in More ❯

multi-disciplinary team, with diverse trading strategies across spot FX, NDFs, and swaps. The ideal people for these roles have eFX modelling experience and practical experience with applying neural nets to time series modelling. People who lack eFX experience, but have several years of real-world experience applying neural nets to time series in any industry More ❯