4 of 4 Deep Learning Jobs in Surrey

field (or equivalent combination of education and experience). Proven experience as a Data Scientist with a strong focus on NLP and knowledge graphs. Practical experience with graph machine learning techniques such as graph neural networks and graph data science. Proficiency in Python and experience with key NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers, Hugging Face, BERT, Langchain … . Hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills, particularly in addressing complex NLP challenges. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. We support the government scheme "Access to Work" please feel free to ask us about the access to work scheme. Desirable … and Qualifications Company: Allianz Insurance Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Analysis, Industry, Language Understanding, Machine Learning, NLP, United Kingdom More ❯

experience (including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design … Strong problem-solving and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Familiarity with cloud AI platforms (AWS, Azure, GCP). Understanding of supervised, unsupervised, and deep learning methods. Refer a friend and earn up to £500! Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you More ❯

experience (including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design … Strong problem-solving and communication skills. Preferred Knowledge of data structures, algorithms, and solution architecture. Familiarity with cloud AI platforms (AWS, Azure, GCP). Understanding of supervised, unsupervised, and deep learning methods. Refer a friend and earn up to £500! Unfortunately, due to high numbers of applications, we are only able to respond to shortlisted applicants. If you More ❯

improving performance through strategic feature engineering and model optimization. Engage with the latest open-source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured datasets effectively. Prioritize AI implementation based on comprehensive … ensuring alignment with strategic goals. Communicate complex technical ideas to stakeholders across technical and non-technical backgrounds, ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge … Advantage - Understanding of data structures, algorithms, and solution architecture. Familiarity with major cloud AI platforms (AWS, Azure, GCP). Broad knowledge of various ML algorithms including supervised, unsupervised, and deep learning. Strong problem-solving and effective communication skills. Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, Engineering, or related field. Benefits: 25 days annual More ❯