SonicJobs Logo
Login
Left arrow iconBack to search

AI Engineer

Opus Recruitment Solutions Ltd
Posted a day ago, valid for 17 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • Our client is seeking a visionary leader to enhance AI initiatives and predictive capabilities by capturing and analyzing high-frequency satellite data.
  • The role involves designing, building, and implementing advanced AI solutions while collaborating with engineering teams and the CTO to shape data science strategy.
  • Candidates should have at least 2 years of experience in machine learning and statistical modeling, with a proven track record in deploying ML models in production.
  • Proficiency in Python and its data science ecosystem, along with strong communication skills, is essential for explaining complex concepts to stakeholders.
  • The position offers a competitive salary, reflecting the candidate's expertise and experience in leading data science initiatives.
Our client captures and analyses high-frequency data from satellites to enhance risk assessment, prevent equipment failures, and optimize operational efficiency. They are in search of a visionary leader to spearhead AI initiatives and significantly enhance their predictive capabilities.The Role
  • Design, build, and implement advanced AI solutions
  • Work closely with engineering teams to bring models into production and enhance their performance
  • Collaborate with the CTO to shape the data science strategy and roadmap, identifying untapped potential in our datasets and the global satellite network
You Should…
  • Have 2+ years experience in machine learning and statistical modelling
  • Have a proven track record of building and deploying ML models in production environments, with strong CI/CD skills
  • Be proficient in Python and its data science ecosystem (pandas, scikit-learn, TensorFlow/PyTorch)
  • Have a solid understanding of time series analysis and anomaly detection
  • Possess excellent communication skills to explain complex concepts to various stakeholders
  • Have demonstrated experience leading data science initiatives
  • Be passionate about solving complex problems with messy, real-world data
Ideally, You…
  • Have experience with large-scale sensor data and real-time analytics
  • Have a solid understanding of physics and mechanical principles
  • Stay engaged with the rapidly-evolving AI ecosystem
  • Have experience with NoSQL databases (MongoDB) and platforms like Azure ML and Databricks
  • Have expertise in signal processing and condition monitoring
  • Have startup experience or have worked in fast-paced, startup-like environments

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.