26 to 43 of 43 Remote Neural Network Jobs

the team. You'll have 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 the Marketing & Personalisation team and More ❯

extraction and transfer between LLMs 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 could enhance Rainbird's capabilities … relentless passion for driving innovation 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 relationships and inferencing. A background More ❯

Master's degree in Computer Science, Cybersecurity, AI, or related field. 8+ years of experience in cybersecurity, with expertise in AI security . Deep understanding of machine learning, neural networks, and adversarial attacks . Proficiency in cryptographic techniques and secure AI model development . Strong experience with penetration testing, threat intelligence, and security auditing . Familiarity with frameworks More ❯

with Lustre, NFS, file system • Working with customer/user representatives • Agile process and Core Digital Transformation, knowledge of Atlassian suite (confluence, JIRA etc) • AI/ML/Neural Networks experience Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI w/Poly Other 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

3rd generation programming languages such as Java, Python, C#, or C++ desired. Experience with data science packages desired. Knowledge of various machine learning techniques (e.g., clustering, decision trees, neural networks), model evaluation, and deployment desired. Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS). Experience working with Application Lifecycle and Configuration and Knowledge More ❯

list of benefits, speak to 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 gain and maintain the relevant More ❯

Security, CISA, CISSP, GCED, GCIH, CCSP). Preferred Qualifications: Published research or contributions in the GPU industry, especially related to Linux. Experience with machine learning and neural network frameworks on GPUs in Linux. Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field. Proficiency in programming languages such as GPU-specific languages. Experience More ❯

implementation and operational expertise. 2+ years directly running a technology pre-sales engineering organization and leading cross functional teams. Domain knowledge of service assurance, performance monitoring, routing, optical, optics, network automation, automation tools, SDN, ROADM, DWDM, metro core, access, edge, and aggregation network. Strong awareness and understanding of TWAMP, RON, SDN, SRv6, BNG, MPLS-SR, VxLAN, EVPN and ECMP. … as well as technical messaging with marketing as the voice of the customer. Strong understanding of AI/ML concepts, techniques & infrastructure (learning models, LLM, GenAI, AGI, NLP, neural networks, deep learning, AI Frameworks, GPU and DPU). Strong knowledge of customer networks, their current challenges, ability to act as consultant and guide the customers - particularly Service Providers 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 ❯

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 ❯

our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas. You should … of the following domains: AI/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 Desirable Knowledge, Skills and Experience: Evidence of publication in relevant journals and conferences is highly advantageous. Why 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 ❯

candidates with a range of experience levels. Responsibilities: Joining our growing and versatile team, you'll contribute to the development and verification of groundbreaking ML and Neural Network hardware. Collaborating with experts across global design centers, you'll drive impactful projects and help deliver Arm's next-generation IP using the most sophisticated tools and methodologies. As …/C++ models of a microarchitecture. Familiarity with Arm architecture and AMBA bus protocols. Experience with CI platforms and version control tools. Practical knowledge of machine learning and neural networks. In Return: With offices around the world, Arm is a diverse organisation of dedicated, innovative and highly proficient engineers. As well as a friendly and high-performance working More ❯