951 to 975 of 2,224 Machine Learning Jobs in London

candidate: Partner with retail business units (e.g., merchandising, supply chain, stores, digital) to design and deliver domain-aligned data products that power analytics and machine learning initiatives. Translate complex retail business needs into technical requirements and proactively identify opportunities for data-driven innovation. Lead the development and deployment More ❯

systems for processing and analysing big data sets. - Work with a global and diverse data set, including spatial data. - Develop and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data. - Work across teams to understand their requirements and advise on potential solutions to More ❯

harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. To meet the demands of our increasing commercial traction, we are looking for a smart, dedicated senior software More ❯

systems for processing and analysing big data sets. - Work with a global and diverse data set, including spatial data. - Develop and use algorithmic and machine learning techniques to extract, transform, derive, aggregate and validate data. - Work across teams to understand their requirements and advise on potential solutions to More ❯

etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech More ❯

you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Our Technology department of around 300 employees works largely in an agile way using a Scrumban approach More ❯

truly specialist in END-TO-END CONTENT INFRASTRUCTURE. A set of software focused applications designed to optimize powerful hidden patterns powered by AI and machine learning to configurable workflows. These incoming workloads get to the decision makers in real-time, intelligently processing data based on size, types, and More ❯

certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert. Experience with big data technologies like Hadoop, Spark, or Databricks. Familiarity with machine learning and AI concepts. If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at . More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Hands on experience with Kubernetes (or CKAD certification) Exposure to data analytics stacks About the More ❯

with large-scale, high-concurrency systems and ensuring high availability. Previous experience managing globally distributed teams, fostering collaboration across time zones. Experience in building machine learning solutions and data-driven software is a plus. You Have a Passion For: Solving complex data challenges and turning raw data into More ❯

who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every More ❯

Solid understanding of database design principles and normalization. Experience with ETL tools and processes and Apache Oozie or similar workflow management tools. Understanding of Machine Learning and AI concepts is a plus. Leadership & Interpersonal Skills: Proven track record of managing and executing automation projects from initiation to completion More ❯

architecture, and DevOps practices. Experience with large-scale distributed systems. Experience of implementing security best practices and compliance requirements. Experience in designing cloud-native, ML, and Generative AI solutions. Familiarity with agile development methodologies. Experience in a fast-paced, high-growth environment. Leadership: Proven track record of leading architectural initiatives More ❯

architecture, and DevOps practices. Experience with large-scale distributed systems. Experience of implementing security best practices and compliance requirements. Experience in designing cloud-native, ML, and Generative AI solutions. Familiarity with agile development methodologies. Experience in a fast-paced, high-growth environment. Leadership: Proven track record of leading architectural initiatives More ❯

environment Hands-on experience with Docker as big plus Solid and demonstrable background in pipeline performance and diagnostics Interest in Generative AI and other ML topics Kedro experience as a plus Holds their ground, opinionated, not afraid to speak up at any level Familiarity with agile principles and product development More ❯

environment Hands-on experience with Docker as big plus Solid and demonstrable background in pipeline performance and diagnostics Interest in Generative AI and other ML topics Kedro experience as a plus Holds their ground, opinionated, not afraid to speak up at any level Familiarity with agile principles and product development More ❯

SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . What's in It for You? We More ❯

CirlceCI etc. Awareness of the latest developments in testing tools and design patterns. Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects. Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud . Whats in It for You? We believe More ❯

deployments. Desired knowledge of cloud security principles (e.g., IAM policies, encryption, and compliance monitoring) and their cost trade-offs. Desired experience with AI/ML-powered tools for predictive analytics and resource optimization. Additional info Personal Attributes Proactive and strategic mindset, self-starter with a proactive approach to identifying and More ❯

deployments. Desired knowledge of cloud security principles (e.g., IAM policies, encryption, and compliance monitoring) and their cost trade-offs. Desired experience with AI/ML-powered tools for predictive analytics and resource optimization. Additional info Personal Attributes Proactive and strategic mindset, self-starter with a proactive approach to identifying and More ❯

analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control More ❯

best-practice design patterns Bachelor's or Master's degree in Computer Science or related field (or equivalent experience) Experience in applying AI/ML to solve customer problems would be a bonus Experience with Python3, Django, PostgreSQL, Redis, Rest APIs or similar modern programming languages and frameworks. Knowledge of More ❯

hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and Deep Learning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If More ❯