Aveni Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. We're using the latest in AI to automate and innovate, empowering … guide more junior solutions/presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills, Experience & Qualification Requirements Must-haves … Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice-to-haves: Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech-to-text, etc.). Familiarity with More ❯
Aveni Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NaturalLanguageProcessing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. We're using the latest in AI to automate and innovate, empowering … guide more junior solutions/presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills, Experience & Qualification Requirements Must-haves … Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice-to-haves: Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech-to-text, etc.). Familiarity with More ❯
or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech enhancement, audio analysis, text-to-speech synthesis, and naturallanguage processing. Proficiency with machine learning frameworks such as TensorFlow or … Desirable Skills Experience with in generative AI, particularly in the context of audio/speech technologies. A strong publication record in top-tier machine learning, artificial intelligence, or signal processing conferences and journals (e.g., ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, ICASSP, IEEE/ACM TASLP, IEEE TPAMI, JMLR). Experience with open-source speech processing toolkits (e.g., Hugging More ❯
This Surrey based role involves hands-on research, software development, and collaboration with a multidisciplinary team in a dynamic environment. Responsibilities include: Conduct independent research in audio and speech processing, including signal processing, machine learning, and deep learning. Design, develop, and implement algorithms and systems for audio/speech analysis, enhancement, separation, and understanding. Lead development of software … in Python; experience in C++ is a plus. Solid understanding of machine learning and deep learning, including model architectures, training, and evaluation. Proven research experience in audio/speech processing with publications in top-tier conferences/journals. Proficiency with ML frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills; ability to design and execute rigorous … experiments. Excellent communication and teamwork skills. Desirable skills: Experience in audio signal processing (e.G., Filter design, spectral analysis). Experience with speech recognition, TTS, speech enhancement, or NLP. Experience with generative AI in audio/speech contexts. Familiarity with version control (Git), software development best practices, cloud platforms (AWS, Azure, GCP), and large-scale distributed data processing. Apply now More ❯
algorithms for speech, audio, and generative AI applications. The Senior ML Research Engineer in Surrey, will be expected to expand their expertise in machine learning and audio/speech processing, learning from peers and senior engineers while applying best practices in research, software development, and deployment to mobile platforms. This may include implementing and optimising deep learning models, designing … Python; C++, Java, or Kotlin is a plus. Strong expertise in machine learning and deep learning, including training, evaluation, and model deployment. Hands-on experience in audio/speech processing, including speech recognition, speech enhancement, audio analysis, TTS, and NLP. Proficiency with ML frameworks such as TensorFlow or PyTorch. Solid software engineering skills, including Git, CI/CD, and More ❯
Mathematics, or a related field. Deep understanding of machine learning and deep learning fundamentals. Proven experience in speech/audio processing (e.g., ASR, speech enhancement, audio analysis, TTS, NLP). Experience training models, not only using pre-trained ones. Ability to modify model architectures, retrain, and adapt research papers into production-ready systems. Strong grounding in speech/audio More ❯
