ML Engineer II

Job title:

ML Engineer II

Firm

UST

Job description

Job Description:We’re recruiting for a ML Engineer to work inside our UK information science workforce, utilizing MLOps instruments and processes to drive the manufacturing of ML and AI at scale for our shopper’s.Location: East MidlandsWorking mannequin: HybridSort: Full time common employmentPosition:

  • This function will likely be a part of the UST UK Knowledge Science workforce, which has achieved nice recognition and ends in its quick life. The Knowledge Scientist will have interaction with exterior Purchasers and inner prospects, perceive their wants, and ship insights, suggestions, and instruments to form their actions.
  • As a Machine Studying Engineer working within the cloud and large information atmosphere, your main duty is to design, develop, and deploy scalable and environment friendly ML fashions that may leverage the huge computing energy and storage capabilities of cloud platforms and large information applied sciences. This function requires a deep understanding of each cloud-based providers, similar to Azure, and large information processing frameworks, similar to Apache Spark, to create end-to-end ML pipelines that may deal with large-scale information processing and mannequin coaching.
  • You’ll often work as a part of a scrum workforce, along with information scientists, ML engineers and analyst builders, to onboard datasets for evaluation, and fashions scaled and automatic for implementation.

Duties:

  • Oversee the monitoring and assist of information science merchandise, guaranteeing their sturdy and dependable efficiency.
  • Function the dear hyperlink between the engineering and information science groups, facilitating seamless collaboration and information sharing.
  • Spearhead the migration of information science merchandise to our Knowledge Lynx platform, guaranteeing a clean and environment friendly transition.
  • Enhance the general productiveness of the info science workforce by taking up extra engineering-oriented duties, permitting them to give attention to their core strengths.
  • Develop and implement finest practices for the productionisation, administration, and upkeep of information science merchandise.
  • Mentor and information junior members of the workforce, fostering their skilled development and improvement.
  • Keep abreast of the most recent developments in machine studying and information engineering and drive the adoption of progressive applied sciences and methods.

Abilities/Expertise:

  • BSc/MSc/PhD in Maths, Statistics, Knowledge Science, Laptop Science or associated topic, or equal work expertise.
  • Intensive expertise (3+ years) as a Machine Studying Engineer or an analogous function.
  • Confirmed monitor report of efficiently deploying, sustaining, and monitoring machine studying fashions in a manufacturing atmosphere; expertise with MLflow is helpful.
  • Proficient in programming languages similar to Python, R, or SQL, and familiarity with machine studying frameworks like Spark ML, PyTorch, or Scikit-Study.
  • Robust understanding of information engineering ideas, together with information pipelines, ETL processes, and cloud-based information platforms. Related certifications are advantageous.
  • Expertise in engaged on Azure Databricks is helpful

Hurry & apply for a extra detailed dialog!Abilities:Machine Studying,Knowledge Science,PythonAbout Firm:UST is a worldwide digital transformation options supplier. For greater than 20 years, UST has labored aspect by aspect with the world’s finest corporations to make an actual influence via transformation. Powered by expertise, impressed by folks and led by function, UST companions with their purchasers from design to operation. With deep area experience and a future-proof philosophy, UST embeds innovation and agility into their purchasers’ organizations. With over 30,000 staff in 30 nations, UST builds for boundless influence—touching billions of lives within the course of.

Anticipated wage

Location

Nottingham

Job date

Sat, 06 Apr 2024 01:30:55 GMT

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