7 of 7 MapReduce Jobs in London

alongside modern frameworks (React, Redux, Vue, or Angular). Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming). Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases. Cloud & DevOps: Proven experience deploying software ...

event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search engines, or other large-scale content platforms We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career ...

subset of the following technical skills:- Software engineering: modular code, software lifecycle processes, unit testing, regression testing Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software Modelling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Required Skills: Bachelor’s degree in Computer Science, a closely related ...

agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent verbal ...

agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent verbal ...

Several years of relevant work experience Software engineering: modular code, software lifecycle processes, unit testing, regression testing Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software Modelling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Bachelor’s degree in computer science, a closely related field ...

Several years of relevant work experience Software engineering: modular code, software lifecycle processes, unit testing, regression testing Big data: distributed computing paradigms (e.g., mapreduce, dataframes, etc), optimizing distributed software Modeling/quantitative: basic modelling techniques (regression, classification, clustering, etc) Bachelor’s degree in computer science, a closely related field ...