TW8, Brentford, Greater London, United Kingdom Hybrid / WFH Options
MFK Recruitment
loss functions, optimisers, metrics. Able to discuss and apply latest state-of-art deep learning/computer vision papers. Experience in developing Transformer and CNN -based applications. Proven contribution to design, development and scaling of high quality, practical reliable software. Enthusiastic about working in a fast-paced engineering team. Develop … to ensure quality assurance in delivery of software and rapid resolution of bugs Applied Computer Vision Data Scientist - - Desirable skills: Experience using Transformer or CNNneural networks for real-time multiple object detection & localisation, tracking, segmentation, pose estimation or similar computer vision tasks. Experience modifying or creating novel Transformer … and CNN architectures to deliver increased classification and detection & localisation accuracy and in optimising performance. Work with high/low resolution aerial or satellite images. SCRUM or other agile/rapid development methodology experience. Kubeflow, Docker, Kubernetes experience. Worked with GANs, familiar with synthetic data generation/synthetic imagery. Familiarity more »
AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning ? LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning … to bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements … Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing more »
control systems, motor control systems or engine control systems Experience with advanced control strategies or machine learning approaches (e.g., fuzzy logic, adaptive systems, recursive neural networks, convolutionalneural networks) Analytical approach to developing control algorithms Extensive knowledge with a range of digital and analog interfaces including GPIB more »
Deep understanding of common machine learning problems and solid knowledge of mathematical foundations of ML algorithms. Proficiency in Deep Learning Architectures (e.g., MLP, RNN, CNN) and popular frameworks (e.g., TensorFlow, PyTorch, Keras). Expertise in multiple open-source machine learning libraries (e.g., scikit-learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, NLTK more »
an excellent understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics) • Previous experience in developing NLP applications preferable. • Solid programming experience in Python, Pytorch or TensorFlow more »
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
industry experience working on system performance analysis for NPUs/GPUs. Understanding of NPU (neural processing unit) hardware and software. Strong knowledge of CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at NPU, GPU, semiconductor more »
Primary Responsibilities Working closely with the modelling and performance team to apply ML models to investigate simulations and carry out performance analysis on NPUs (Neural Processing Unit). Required Experience Masters or PhD in … Computer Science, Electronic Engineering or similar. At least 4 years of industry experience working with ML models for system performance analysis. Strong background with CNN and Transformer Architecture. Experience with ML frameworks like Pytorch/Tensorflow and programming languages C++ and Python. Desired Experience Industry experience at leading NPU, CPU more »