MLOps Engineer

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London / £50000 - £70000 annum

INFO

Salary
SALARY:

£50000 - £70000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

MLOPS ENGINEER

REMOTE

COMPANY:

Harnham is working with an exciting Energy organisation who is provides engineering, consulting, and project delivery services to the energy, chemicals, and resources sectors.

RESPONSIBILITIES:

  • Collaborating closely with Data Scientists to enhance the efficiency of deploying Machine Learning models into production.
  • Devising and executing resilient, scalable MLOps pipelines to mechanize model training, testing, and deployment workflows.
  • Leveraging Python and other pertinent tools to construct and fine-tune the infrastructure, facilitating streamlined model operations.
  • Vigilantly overseeing and addressing issues in production ML systems, upholding their reliability and performance.
  • Assessing and integrating emerging technologies to bolster the effectiveness of MLOps procedures.
  • Engaging in dialogue with cross-functional teams to grasp their demands and furnish tailored solutions for their ML operational requirements.

REQUIREMENTS:

  • Hold a degree (BSc/MSc/PhD) in Computer Science, Data Science, or a related field.
  • Demonstrate a track record of successfully creating and managing MLOps pipelines in a corporate setting.
  • Possess a high level of expertise in Python and hands-on experience with pertinent frameworks and libraries including TensorFlow, Keras, and scikit-learn.
  • Exhibit proficiency in containerization technologies like Docker and proficiency with orchestration tools like Kubernetes.
  • Show proficiency in KubeFlow and/or MLFlow.
  • Display familiarity with major cloud platforms such as AWS, Azure, or GCP, along with a history of deploying ML models on these platforms.
  • Showcase exceptional problem-solving abilities and meticulous attention to enhancing MLOps workflows.
  • Communicate technical concepts effectively to individuals who may not have a technical background.

BENEFITS:

  • Earn a competitive annual salary between £50,000 and £70,000
  • Unlock avenues for professional development and career progression
  • Embrace flexible work arrangements that prioritize a harmonious work-life balance.
  • Join a dynamic, forward-thinking team that fosters collaboration and innovation at the cutting edge of the Machine Learning field.

NEXT STEPS:

If this role looks interesting to you, please reach out to Joseph Gregory

CONTACT

Joseph Gregory

Recruitment Consultant

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