16 of 16 Natural Language Processing Jobs in the South East

time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings … join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

enjoys working closely with clients, running workshops, delivering innovative projects who has an interest in learning more about Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. Professional Services Engineer The role: Youll be responsible for configuring, deploying, and commissioning advanced applications, ensuring projects ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

data tool such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices and agile mindset. Skills & Core competences Strong Analytical and Problem-Solving Skills with attention ...

. 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 natural language processing. Proficiency with machine learning … 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 ...

offering the chance to shape architecture, build scalable pipelines, and ship features that directly impact users. Responsibilities Develop, integrate, and fine-tune LLMs for natural-language understanding, reasoning, and workflow automation. Build agentic/LLM-driven workflows for multi-step decision making across diverse data sources. Architect … containerisation and cloud infrastructure (Docker, AWS, Terraform, etc.). Experience deploying production AI systems with a strong focus on reliability and safety. Background in NLP, information extraction, or large-scale unstructured data processing. Experience in security, intelligence, or data-heavy platforms is a plus but not required. Education & Experience Degree ...

carried through to production Desired Skills/Experience Experience of working with .NET 5/.NET Core Experience of .NET stack AI technologies (ML.NET, NLP etc.) Experience of working with Rx (Reactive Extensions) Experience of working with Python Experience of working with HTML5 and JS A working knowledge of Fixed ...

z2bz0 years in leadership roles. Deep understanding and experience of AI technologies, trends and strategies with expertise in machine learning, deep learning, NLP, computer vision, or other AI domains such as Generative AI and Agentic AI. Track record of deploying AI solutions at scale with experience in leveraging and building ...

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 … 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 ...

fairness, transparency, and user trust. What You'll Bring Strong hands-on experience in testing and evaluation of AI or software systems, ideally with NLP or LLM-based applications. Understanding of prompt evaluation, semantic search, and LLM behaviour (accuracy, hallucination, bias, tone, etc.). Familiarity with tools like Trulens, HumanLoop ...

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 … 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 ...

Engineer to join our team. The ideal candidate will bring deep expertise in building and deploying AI/ML solutions, particularly in areas like NLP, document understanding, and search/retrieval systems. You will work in a dynamic environment, collaborating across teams to design scalable AI-driven solutions and bring … them into production. Key Responsibilities: Design, develop, and deploy AI/ML solutions with a focus on NLP, document understanding, and information retrieval. Integrate AI models into systems using APIs and message brokers such as REST and Kafka. Implement secure systems using modern authentication and authorization standards like OAuth2 ...