/or industry experience. Experience Extensive experience solving computer vision problems – such as object detection and human pose estimation – with the application of appropriate machinelearning methods, such as CNNs and ViTs, in conjunction with non-ML algorithms. Demonstrated experience using leading-edge methods for modelling human and … novel techniques for extracting value (building insights) from multi-disciplinary high-fidelity and unstructured data. Examples of working with large spatio-temporal datasets, and machinelearning expertise for solving time-series domain issues. Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development more »
Role: Senior ML Engineer Salary: £80,000-£100,000 + Stock Location: Remote First (UK only) Join an AI-driven Climate technology business as a Senior MachineLearning where you'll work on cutting edge AI data platforms. Why join: Be part of a unique opportunity to … across a whole ML platform, building new capabilities alongside a high calibre tech team. The ideal candidate will have: Strong Data Science/ML engineer background Experience working on very complex systems Strong experience with Computer vision Longevity in their previous roles Experience with Remote Sensing highly desirable Stack more »
We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from an … level summary to the research team Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machinelearning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or more »
ML Engineer – Founding team – LLM Startup (AI Alignment) – upto £200k Do you have experience with quantization techniques (e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with Deep Learning using PyTorch Library? Do you … languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...) inference servers like multi-LoRa, LoRA Exchange, TitanML ️ multi-node HPC clusters like a pro ️ Deep Learning with PyTorch containers with Kubernetes LLMs (OpenAI, Mistral, Claude, LLaMA...) inside and out LLMs for GPU usage, scaling, and data movement ️ The Perks? They more »
