4 of 4 Transfer Learning Jobs in the UK

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial A FTSE 100 retail client are on the look for a Data Scientist/Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working … as a Data Scientist/Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. … Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision-making … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques More ❯

model performance. Work with ML engineers to productionise AI models effectively. Ensure customer success and adoption of AI-driven features and insights. Required Experience 5+ years working with deep learning frameworks such as PyTorch and TensorFlow . 2+ years of experience in object detection models, including YOLO , Faster R-CNN , and ViT . Proven track record of training, fine … tuning, quantising, and deploying computer vision models in production. Expertise in data augmentation , transfer learning , and hyperparameter tuning for complex datasets. Strong understanding of hybrid search and retrieval-augmented generation (RAG) techniques. Solid experience with Large Language Models (LLMs) , including multi-modal models and applying prompt engineering and fine-tuning . Experience deploying models via cloud platforms (AWS … and using Docker , Linux , and edge device optimisation . Additional Requirements Advanced degree in Computer Science , Statistics , Data Science , or a related field. Proven experience building and commercialising machine learning models. Deep knowledge of the ML lifecycle: data annotation, model training, serving, scoring, productionisation, and feedback loops. Understanding of modern data ecosystems and tools across ingestion, engineering, quality, orchestration More ❯

detection models, including but not limited to YOLO, Faster R-CNN, and VIT Experience in training, fine-tuning, quantisation, and deploying computer vision models in production Apply data augmentation, transfer learning, and hyperparameter tuning to optimise model performance on complex datasets Expertise in implementing hybrid search and retrieval-augmented generation (RAG) techniques Solid understanding of Large Language Models More ❯