7 of 7 Permanent Deep Learning Jobs in Oxford

Grenoble IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference 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 More ❯

Competent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced deep learning techniques in practical scenarios Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and … like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasks Aware of the software development lifecycle of AI projects, machine learning operationalization processes Experienced with AI solutions deployment to main cloud providers Hands-on with Python and TensorFlow or PyTorch Possessing strong interpersonal, analytical, and … Capable of maintaining business communication in English at the upper-intermediate level AND YOU WANT TO Work with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in production Choose relevant computational More ❯

retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering. Build … experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports, and … by our marketing team. Essential skills PhD in Computer Science or related field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in … machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and … they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work More ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive … relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute across More ❯

and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high … impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI … Master's or Ph.D. in Computer Science, Electrical Engineering, Music Technology, or a related field. Strong background in digital signal processing (DSP) and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch More ❯

combat the mental health epidemic unfolding around the world by ensuring that people have access to affordable and reliable mental health tools. We deploy deep learning AI to screen for common mental health symptoms in order to tailor digitally delivered therapeutics to a person's unique symptom profile. More ❯