13 of 13 Remote/Hybrid Permanent Neural Network Jobs

Senior FPGA Engineer – AI & Neural Network Acceleration Salary: £100,000+ DOE + Benefits Location: Hybrid Working (Friday Work From Home) Type: Permanent, Full-Time Are you passionate about pushing the boundaries of artificial intelligence hardware? Our client is developing next-generation neural network acceleration … opportunity to play a key role in designing high-performance FPGA solutions that will power advanced machine learning and neural network applications. The Role You will be responsible for the design, implementation, optimisation and verification of FPGA-based systems focused on AI inference and neural ...

skilled multidisciplinary engineering team, you will be responsible for the design and layout of complex, high-performance PCBs supporting cutting-edge neural network and accelerated computing applications. Key Responsibilities Design and layout of high-speed, multi-layer PCBs using Altium Designer. Development of complex 12+ layer boards … comprehensive benefits package. Hybrid working model with one day per week working from home. Exposure to some of the most advanced neural network and high-performance computing technologies currently in development. Opportunity to work on technically challenging projects that push the boundaries of modern electronics design. Long ...

data foundations required to operate them. This role applies machine learning techniques in code (e.g., supervised/unsupervised learning, deep learning/neural networks where appropriate, and advanced modeling approaches) to build predictive systems at scale for identity, audience, and cross-platform measurement. The position also leads architecture ...

data professionals (including MLEs) within the organization Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization. Guide a team of MLEs across different areas: Mentoring: Mentor team members on design principles, coding ...

Estimation Deep Learning techniques : Detection, Classification, Tracking, Siamese Networks Inverse Problems/Computational Imaging : Sparse Coding, Compressive Sensing Machine Learning : Support Vector Machines, Neural Networks Domain Specific Signal Processing : Multi/Hyper-Spectral, RF, IR, SAR, STAP The primary development environments used within the department are Matlab/ ...

access to large-scale, unique data Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference ...

machine learning methods 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 DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. ...

imagery and computer vision , including remote sensing Reinforcement learning Natural language processing and large language models Knowledge graphs and graph‐based neural networks AI applied to RF, electronic warfare, radar, sonar, or acoustics Autonomy and intelligent systems Evidence of published research in relevant journals or conferences ...

cross-functional teams to identify challenges and implement innovative solutions tailored to the organization’s needs. Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills ...

within data science Experience in insurance pricing and modelling Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, Neural Networks and clustering techniques Knowledge of statistics and distributions commonly used in insurance Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient ...

AlphaFold, protein embeddings, or molecular simulation outputs Knowledge of antibody developability, binding affinity prediction, or therapeutic optimisation workflows Experience with diffusion models, graph neural networks, or generative protein design approaches Publications in machine learning, protein modelling, computational biology, or AI for Science Why Join? Build frontier AI systems ...

experience. Comprehensive benefits package including bonus potential. Flexible hybrid working arrangements. Opportunity to work on highly advanced computing platforms and neural network technologies. Exposure to cutting-edge hardware and software development programmes. Long-term projects with genuine technical depth and complexity. Due to the nature ...

appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when … have full rights to work in the UK without any restrictions. Keywords: Start-Up, Life Sciences/Biotech, Python, Platform Development, Machine Learning, Neural Networks, Data Science, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact ...