14 of 14 Algorithms Jobs in East London

underlying mathematical foundations of statistics and machine learning. Can build scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping ...

their skills. Shape the architecture and technical direction of our products, balancing scalability with speed of delivery. Design and integrate AI models and algorithms that unlock insights from national connectivity data to tackle real-world challenges. Leverage unique datasets from Ofcom, Openreach, independent networks and ISPs to uncover problems that ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

long-term position at a secondary school in East London. Job Overview: As a Computer Science Teacher, you'll inspire students to understand programming, algorithms, and computing concepts. You will plan and deliver engaging lessons, assess progress, and collaborate with colleagues. The ideal Computer Science Teacher will hold a PGCE ...

could be the perfect opportunity for you. Responsibilities: Plan and deliver engaging Computer Science lessons to KS3 - KS5 pupils. Teach topics such as programming, algorithms, data representation, and e-safety. Assess, track, and report on student progress in line with school policies. Create a positive and inclusive classroom environment ...

will directly improve user experiences at scale and help drive fairer, more effective outcomes across the labour market. Youwill build and optimize in-house algorithms, work with the latest NLP and generative AI techniques, and develop intelligent conversational agents. Your work will directly improve how jobseekers and employers find … Leverage large proprietary datasets to understand, segment, and predict user engagement, helpinganticipateuser needs before they arise. Reinvent job matching: Build and optimize in-house algorithms that go beyond traditional search and recommendation engines, solving complex, multi-faceted problems across the platform. Build conversational agents: Work with agentic frameworks and fine ...