3 of 3 Deep Learning Jobs in Central London

Contribute to the development of a fantastic visualisation layer for analytics, making complex insights accessible and actionable. Key Skills and Experience NLP Mastery Proficiency in LLMs and transformer architecture. Deep understanding of traditional NLP techniques. Data & Visualisation Solid grasp of data visualisation tools (Tableau, Power BI, Cognos, etc.) Proficiency in Python visualisation libraries (Matplotlib, Seaborn.) SQL for data extraction … datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series … analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

Help drive improvements in data quality, including identification and resolution of issues. Deliver to a high standard, within agreed timescales. Continuous development of own capability through on the job learning and other external learning activity. Maintain a knowledge of developments in data science within and outside of the insurance industry. Understand and comply with legal and regulatory provisions … feature engineering, modelling, evaluation), with ability to implement best practise solutions according to the demands of a project. Has expertise of a narrower range of specialisms (e.g. LLMs or Deep Learning). Starts to apply emerging theory to practical situations. Understands and able to work to MLOps best practice. Ability to organise, analyse and draw appropriate insight from More ❯

of Senior Full Stack Systems Developer include: Experience of developing software products for use within a Water/Hydrological Environment (e.g. flood risk and mitigation, etc.) Prior experience with Deep Learning Neural Network Platforms Previous experience with Enterprise Linux Platforms Experience of leading/mentoring a team of developers If you are interested in the role of Senior More ❯