76 to 100 of 102 Neural Network Jobs in the UK

Mathematics, Physics, Statistics, or Engineering. Demonstrated experience developing systematic cash equity/statistical arbitrage strategies. Experience with machine learning models and/or statistical learning models (e.g. LLMs, neural networks, Deep Learning models, etc.). Capacity to excel in a fast-paced environment. Strong coding skills in at least one of the following programming languages: Python, R, MATLAB More ❯

a prototyping role, with proven cross-functional collaboration. At least 2 years of experience in AI/ML prototyping. Technical expertise in large language models, deep learning, and neural networks. Proficiency in C#, and familiarity with Python and shell scripting. Ability to build prototypes within short timeframes. Strong storytelling and communication skills. Broad engineering competence and experience in … as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply … information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area More ❯

experience. Key Responsibilities: Develop and 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 (e.g., TensorFlow, ONNX). Produce More ❯

Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models More ❯

into senior technical or leadership 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 technologies. Responsibilities: Develop robust algorithms … track record of successfully collaborating 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 benefits available to our people. More ❯

quantitative analysis of flows and market data, driving business strategy and the design of our quantitative market making platform. Use advanced statistical analysis and quantitative techniques such as neural networks to build models that drive market making and risk management decisions in real time. Be involved in platform software development across a range of technologies, and collaborate closely More ❯

trading strategies. Strong programming skills in C Python in a Linux environment. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks, or support vector machines. Strong experience developing statistical models in a trading environment. Proven success working with large data sets and developing statistical models. Fascinated and interested in More ❯

Models" (UCL , Oxford, Imperial, Edinburgh, Cardiff, Manchester and Surrey) and with its industrial partners. Key responsibilities include working on deep learning, probabilistic modelling, deep generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and networking with colleagues and students; planning and organising research resources and workshops. … a strong publication record. Excellent mathematical and programming skills are essential, with experience in two or more of Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees can submit their letters before such date. The interviews will be done via More ❯

and deep learning. On the one hand, Bayesian learning provides a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the art … The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to be … grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the interaction between these two learning paradigms is relatively under-explored, there is a More ❯

and attention to detail. Strong communication and collaboration skills. Excellent organizational and time management skills. Attentive listening skills. Additional skills that are desirable but not mandatory include: Understanding Neural Networks: Proficiency in neural networks, including architectures like Convolutional Neural Networks (CNNs) and Transformers, is essential. This includes knowledge of activation functions and backpropagation techniques. More ❯

computing environments An interest in computational approaches to molecule & materials design. An interest in working with experimental scientists on discovering breakthrough new materials. Bonus: Experience working with graph neural networks, message passing neural networks, or computational methods on graphs, 3D point clouds, or other 3D data. Experience training, evaluating or building with large language models. What More ❯

Machine Learning & Engineering Job ID: Amazon UK Services Ltd. Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. how to reach net zero carbon … delivery. Our software systems include services that use tens of thousands of signals every second to make business decisions impacting billions of dollars a year, that integrate with a network of small and large carriers worldwide, that manage business rules for millions of unique products, and that improve experience of over hundreds of millions of online shoppers. As part … buy anything online, and deliver in the most efficient and greenest way possible, this is your chance to make history. About the team EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on More ❯

algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written More ❯

the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for spoken language applications - Develop and/or apply statistical modelling methods (e.g. deep neural networks), optimizations, and other ML techniques to different applications in spoken language engineering Company: Amazon Qualifications: BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE More ❯

Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical and quantitative techniques, including neural networks, to build models that support systematic trading strategies and real-time risk management decisions. Develop risk management frameworks and construct optimal portfolios across asset classes using factor models More ❯

our Quantitative Trading & Market Making desk by developing market-making and quoting strategies across equity products, from cash to derivatives. Employ advanced statistical and quantitative techniques, such as neural networks, to develop models that inform systematic trading and risk management decisions in real-time. Implement risk management frameworks and construct optimal portfolios across asset classes using factor models More ❯

. Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures. Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving. Strong software engineering skills, ability to More ❯

history with good grades throughout Skilled in building computer vision solutions, with a focus on object detection and motion tracking. Knowledgeable in modern machine learning techniques, including convolutional neural networks (CNNs) and transformer models. Experience with tracking methods, including the use of Kalman filters. Aware of traditional, lower-resource image processing techniques such as blob detection. Proficient in More ❯

subject. Hands-on coding skills in Java, C#, C++, Rust, or similar. (Regrettably, scripting languages alone won't be sufficient.) A strong understanding of large language models or neural networks would be advantageous. The company are based in Central London location with excellent transport hubs and amenities nearby. Interested? Send your CV to ECM Selection; whilst we can More ❯

customer knowledge to ensure proposals meet their needs. 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. Advanced statistics and experience operationalising academic research. Security clearance: You must be able to gain and maintain the relevant UK More ❯

turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are seeking an experienced Neural Network Optimization Engineer who will specialize in enhancing the performance, latency, and throughput of neural network inference workflows. The ideal candidate will have substantial hands-on experience … You will collaborate closely with ML researchers to ensure that our machine learning models run at peak efficiency and reliability in production environments. Key Responsibilities Optimize neural network models for inference performance and latency reduction Benchmark, analyze, and improve inference performance on targeted hardware platforms. Collaborate with the ML researchers to deploy optimized models in production environments. … Stay updated with the latest developments in model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network quantization techniques. Proficiency in Python and PyTorch. Deep understanding of GPU architectures and performance optimization. Excellent problem More ❯

Cloud products (i.e., Photoshop, Illustrator, InDesign, and After Effects) or Adobe Experience Cloud products (i.e., AEM, AEP) is a plus. Knowledge of generative AI technologies, including deep learning, neural networks, and generative models is a plus. Strong knowledge of creative workflows and the design process, with the ability to find opportunities for integrating generative AI techniques. Strong problem More ❯

Cloud products (i.e., Photoshop, Illustrator, InDesign, and After Effects) or Adobe Experience Cloud products (i.e., AEM, AEP) is a plus. Knowledge of generative AI technologies, including deep learning, neural networks, and generative models is a plus. Strong knowledge of creative workflows and the design process, with the ability to find opportunities for integrating generative AI techniques. Strong problem More ❯

advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world by using trillions of contextual bidding signals coupled with proprietary neural net based models. Our platform includes a full-service team and Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 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 ❯