1,226 to 1,250 of 2,193 Machine Learning Jobs in London

field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to More ❯

ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds like you then please do reach out and let's More ❯

ecosystem elements like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks If this sounds like you then please do reach out and let's More ❯

field such as Mathematics, Physics, Statistics, Computer Science, or related fields. Proven track record of designing, implementing, and optimizing algorithmic trading strategies. Proficient in machine learning techniques and tools. Excellent analytical and problem-solving skills. Strong coding skills in languages such as Python, C++, or Java. Ability to More ❯

running AI models in production on Azure. Expertise in AI deployment patterns and architectures on Azure, including self-hosted LLMs . Strong knowledge of machine learning algorithms and data analytics . Experience in designing and implementing Azure AI environments (e.g., Landing Zones, end-to-end Azure infrastructure ). More ❯

statistical techniques to solve business problems. Excellent communication skills with the ability to lead projects, a team and client presentations. Desirable: Any experience with Machine learning tools/technologies and Cloud services (AWS, GCP). This is a permanent opportunity which provides a base salary of up to More ❯

statistical techniques to solve business problems. Excellent communication skills with the ability to lead projects, a team and client presentations. Desirable: Any experience with Machine learning tools/technologies and Cloud services (AWS, GCP). This is a permanent opportunity which provides a base salary of up to More ❯

models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and machine learning methods. Ensure effective project planning, prioritization, and alignment with stakeholder needs. Collaborate across cross-functional teams and departments to solve complex business More ❯

or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. The Process A More ❯

models and tools that enhance decision-making and portfolio profitability. Drive the development and deployment of advanced analytics techniques including GLMs, GBMs, NLP, and machine learning methods. Ensure effective project planning, prioritization, and alignment with stakeholder needs. Collaborate across cross-functional teams and departments to solve complex business More ❯

or a related field, or a Master’s degree. Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus. A background in finance or exposure to financial data is advantageous but not required. The Process A More ❯

a new, greenfield division of the business, using a brand-new technology stack including Snowflake, dbt, Airflow and AWS. This function provide data for Machine Learning and Artificial Intelligence capabilities, helping them to provide the best possible service offering to their customers. You'll work on delivering end More ❯

Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data More ❯

Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data More ❯

performance, separating exogenous from endogenous drivers. Develop and implement data models to support decision-making across marketing, pricing, customer support, and product. Partner with machine learning engineers to productionise data models that you've prototyped. Effectively communicate insights and recommendations to stakeholders, influencing strategy and decision-making. You More ❯

analysis of results 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 SQL Experience with data More ❯

build and deploy models that influence customer strategy across areas like propensity, churn, segmentation , and more. Key responsibilities include: Developing and deploying statistical and machine learning models to support client objectives Working end-to-end on analytics projects, from discovery through to insight delivery Translating complex data into More ❯

and technology sectors, promoting continuous learning. Champion the selection, implementation, and maintenance of cutting-edge technologies. Identify opportunities for integration and innovation in AI, machine learning, RPA, NLP, computer vision, and other relevant technologies. Collaborate with stakeholders across product, operations, sales, and customer teams to address business needs. More ❯

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 managing, analyzing and communicating results More ❯

functional teams to integrate AI-powered solutions into the Explore platform, optimise models for better content discovery, and support the deployment and maintenance of machine learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills More ❯

computing (e.g., AWS or GCP), containerization tools like Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in statistics and/or machine learning, including common approaches like clustering, classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data More ❯

computing (e.g., AWS or GCP), containerization tools like Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in statistics and/or machine learning, including common approaches like clustering, classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data More ❯

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the More ❯

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 More ❯

retailers in North America and Europe doing more than $2 trillion in revenue. At Sparkinity , we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite local shop in town - we help them discover the More ❯