Logikk

Staffing - London, N/A, UK

Logikk Employees
John Stephenson

Principal Consultant | Machine Learning | Computer Vision | Reinforcement Learning

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Stelina Encheva

Junior Delivery Consultant

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Adam Boutouili

Consultant | Data Science

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Thomas Cafolla

Director - Renewables and AI Specialist

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Henry Kemp

Senior ML Ecosystem Consultant

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Timmy The

CCO - Chief Cuddles Officer

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Logikk Details

We're Logikk - A specialist AI Talent Consultancy with a focus on Applied ML Research, and Engineering across the entire ML Ecosystem; operating in the USA, Canada, UK and Mainland Europe. We’ve been helping our clients push the boundaries of ML Research and build end-to-end ML Platforms (through the people we supply) since our inception in 2012. Our deep, global candidate networks span the entire ML stack - from Hardware, through Infrastructure and Software, to Models. Our core delivery capability includes: - Hardware: CPU / GPU / NPU / TPU / Compliers / Kernels - Architecture: On Prem / Hybrid / Cloud / HPC - Infrastructure: MLOps / SRE - Software: Scalable / Distributed / Throughput / Latency - Models: Applied AI R&D / Serving / Deployment / Optimisation - Product: Vision / Strategy / Roadmap Our Service-first, Community-led approach to Recruitment ensures we create value and build long-lasting relationships with both our clients and candidates. We pride ourselves on having deep knowledge and understanding of the roles we recruit for. We form true partnerships with our clients, with the aim of becoming an ongoing extension of their brands. Finding, engaging and onboarding talent in this ultra-competitive space is challenging for most organisations... This is where we come in. Check out our Impactful AI London MeetUp here - https://www.meetup.com/impactful-ai-london/ ... and our Let's Talk MLOps Podcast here - https://www.youtube.com/@logikk955

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Employees: 13
HQ: 02030054968
Location: London, N/A, UK
Revenue: 2.5 - 5 Million
Recruitment Insight Data Science Machine Learning Predictive Analytics Data Mining Prescriptive Analytics Advanced Analytics Data Engineering Business Intelligence Data Architecture Big Data Deep Learning Computer Vision Deep Learning Artificial Intelligence Natural Language Processing Data Management Predictive Analaytics Insight IoT Blockchain Data Modelling Product Development Data Governance Data Strategies
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