1,201 to 1,225 of 1,746 Machine Learning Jobs in London

and analytical skills. Previous experience in a research or structuring department of an investment bank or relevant buy-side experience. Excellent coding skills in Python. In-depth knowledge of machine learning and big data. Strong communication, presentation, and writing skills. Team-player attitude. Preferred Qualifications, Capabilities, and Skills: Previous experience in quant fixed income and/or credit More ❯

candidate to help them in a variety of projects, with pricing modelling at the core. THE ROLE You can expect to: Develop cutting edge pricing models using Python and Machine Learning techniques Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement Implement models into pricing strategy to enhance business performance Share More ❯

Looking for a mathematical software engineer role at a growing company that's starting their adoption of machine learning technology? This company creates mathematical tools for solving numerical optimisation problems for logistics and trading. Their unique software toolkit is relied upon by clients worldwide. Due to their continued success, they are seeking to recruit an additional engineer to More ❯

controllers) into experimental workflows. Build pipelines for real-time or post-run data processing e.g., images from microscopes. Develop software for data analysis, data QC checks, statistical analysis, or machine learning models to interpret experimental data. Understand experimental goals and help translate scientific requirements into technical solutions. The ideal Software Engineer will hold a PhD in Computer Science More ❯

Responsibilities Analyse Customer Behaviour to identify trends in lifetime value (CLV), churn risk, and retention drivers. Build and maintain predictive models for customer retention and churn using statistical and machine learning techniques. Partner with marketing and CRM teams to deliver pre- and post-campaign analytics, including A/B test evaluations and ROI analysis. Develop and present actionable More ❯

Responsibilities Analyse Customer Behaviour to identify trends in lifetime value (CLV), churn risk, and retention drivers. Build and maintain predictive models for customer retention and churn using statistical and machine learning techniques. Partner with marketing and CRM teams to deliver pre- and post-campaign analytics, including A/B test evaluations and ROI analysis. Develop and present actionable More ❯

This role will allow you to partner analytics teams to review and enhance data categorization for key income and expense transactions, develop a specification for both rules based and machine learning driven enhancements to categorization by defining transaction types. You will also interact closely with the Financial Product team to provide requirements to localize the financial management tools More ❯

monitoring and investigation of suspicious activities. Develop and implement fraud risk management strategies and policies aligned with regulatory requirements and industry best practices. Utilize data analytics, rules engines, and machine learning models to detect unusual patterns and prevent fraudulent transactions. Collaborate with Product, Engineering, Customer Service, Compliance, and Legal teams to enhance fraud controls across customer journeys. Manage More ❯

We’re Looking For: 🏆 Experience: 3+ years in product management (2+ focused on AI/mobile). 📱 Mobile Expertise: Proven success launching innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver More ❯

We’re Looking For: 🏆 Experience: 3+ years in product management (2+ focused on AI/mobile). 📱 Mobile Expertise: Proven success launching innovative digital products. 🔍 AI Knowledge: Familiarity with machine learning concepts and application limitations. 🌍 Industry Fit: Experience working in high-growth fintech or tech startups. 🤝 Team Player: Work across engineering, data science, and design teams to deliver More ❯

and implements changes within the team with minimal guidance Clearly communicate in a timely and collaborative way Qualifications Hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence Currently has or is pursuing a Bachelor's and/or Master’s degree in Computer Science, Computer More ❯

with some of the following tools and technologies (or an eagerness to learn): , Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch) , Statistical methods and machine learning (e.g., A/B testing, model validation) , Data pipelining tools like SQL, dbt, BigQuery, or Spark , A strong communicator with the ability to communicate technical concepts into More ❯

of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

of statistical analysis and experiment design. Ideally a bachelor’s degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity firms and high-growth businesses. Their work spans strategic data science engagements, AI More ❯

s strategic objectives. Conduct comprehensive research to stay abreast of the latest advancements in AI technology and apply them effectively to drive innovation within the company. Optimise and scale machine learning models for performance and efficiency, leveraging best practices in AI engineering. Integrate using Microsoft Graph API or prebuilt plugins Requirements Strong experience with LLMs (OpenAI, Mistral, Claude More ❯

footballers' legs. Ki's mission is simple: digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine learning models using advanced techniques. Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets. Experience with dbt, Python More ❯

policies, procedures, and documentation related to data enablement. Contributing to the development of data visualizations and dashboards. Supporting data science projects by assisting in the design and development of machine learning models, predictive analytics, and other data science applications. Lead on team communications - producing monthly internal infographics and newsletters. Manage user acceptance testing and compliance auditing. Embrace Agile More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

quants - A quantitative or technical background (e.g., in finance, economics, engineering, mathematics or physics) is strongly preferred We'd love to see: - Programming experience, preferably with Python - Knowledge of Machine Learning Algorithms More ❯

concise manner. Campaign Optimization: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel data analysis, and More ❯

involve? Lead on the build of personalisation and recommendation models that enhance customer experience (CX). Help design a reliable, secure, scalable platform that allows Data Scientists to bring machine learning models to production. Drive the optimisation of performance analyses, landing page testing and funnel optimisation. Act as a bridge across teams, fostering an environment that allows for More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience More ❯