9 of 9 Remote Deep Learning Jobs in South Wales

stage of growth as they prepare to scale. You should consider this opportunity if the following appeals to you: ✔️ You have a passion and deep expertise in Computer Vision ✔️ You’ve worked in a startup before and prefer all that it entails over a job in a large corporation … You are excited about Generative AI and what the future holds About the role : Develop Deep Learning solutions Develop the methodology and assessment criteria to measure solution performance Track and implement advancements in Deep Learning and Computer Vision Maintain Machine Learning products Help shape the … team as it scales About you : Current or recent experience in a tech startup or scale-up with a fast-paced environment Expertise in Deep Learning and Computer Vision (incl. image classification, detection, facial recognition, etc.) Understanding of transfer learning and popular augmentation techniques Able to apply 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 ❯

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 ❯

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 ❯

and mental condition to effectively work with the SEAL team during operations. Who you are Proficient in programming languages like Python, Java, or C++; Deep understanding of machine learning and deep learning architectures; Experience with cloud platforms such as AWS, Azure, or GCP; Strong problem-solving 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 ❯

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 ❯

deploy predictive models and ML algorithms Develop pre-processing pipelines to clean, transform, and prepare data for modelling Apply advanced techniques, including NLP and deep learning, where appropriate Conduct statistical analysis and hypothesis testing to validate assumptions Lead discovery workshops to understand client needs and define future-state … essential Strong Python skills with hands-on experience using libraries like Pandas, Scikit-learn, and NumPy Solid understanding of statistics, data modelling, and machine learning techniques Experience delivering data science solutions in a business or client-facing environment Clear communication skills and confidence engaging with stakeholders Familiarity with tools … such as Power BI, Excel, and the wider Microsoft suite A collaborative mindset and desire to keep learning 💡 Why Join? £50,000 - £55,000 salary Hybrid working - typically 1–2 days in Bristol or on-site Private healthcare Supportive, people-first culture with room to grow Work on real More ❯