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Machine Learning Engineer

Method Resourcing
Posted 16 days ago, valid for a month
Location

York, North Yorkshire YO60, England

Salary

£40,000 - £70,000 per annum

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Contract type

Full Time

Retirement Plan

Sonic Summary

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  • Job Title: Machine Learning Engineer
  • Location: York
  • Salary: £65,000
  • Experience Required: Strong Python programming expertise, experience with cloud-based deployments, familiarity with managed endpoints and orchestration tools like AKS, ability to identify and solve business problems using machine learning techniques, proven track record in developing predictive and prescriptive models.
  • Desirable Skills: Advanced degrees in fields such as engineering, mathematics, physics, or statistics, background in data science within finance, insurance, or eCommerce sectors, experience with neural networks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas.

Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000

Overview: Join a cutting-edge data science team as a Machine Learning Engineer and play a pivotal role in developing and maintaining the infrastructure that powers our advanced data analytics. This role provides a unique opportunity to transition innovative models from research to production, collaborating closely with data scientists to influence key business decisions through data-driven insights.

Responsibilities:
  • Deployment Framework: Design and manage the deployment framework for data science services, ensuring seamless data flow from our business data warehouse into the data science lifecycle.
  • Lifecycle Automation: Lead the automation of the data science process, from dataset creation to model deployment, monitoring, and updates.
  • Collaboration: Partner with data scientists, data engineers, and other technical teams to enhance our analytics capabilities.
  • Coding Excellence: Develop and maintain high-quality Python code for model training and deployment, adhering to best practices.
Required Skills:
  • Strong Python programming expertise.
  • Solid understanding of software engineering principles.
  • Proficient in Test-Driven Development (TDD) with tools like pytest.
  • Experience with cloud-based deployments, particularly on Azure.
  • Skilled in using Databricks.
  • Familiarity with managed endpoints and orchestration tools like AKS.
  • Competent with Version Control Systems (VCS) and CI/CD pipelines.
  • Ability to identify and solve business problems using machine learning techniques.
  • Proven track record in developing predictive and prescriptive models.
Desirable Skills:
  • Advanced degrees in fields such as engineering, mathematics, physics, or statistics.
  • Background in data science within finance, insurance, or eCommerce sectors.
  • Experience with neural networks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas.
Benefits:
  • Competitive salary.
  • 25 days annual leave, plus additional company-specific days.
  • 4-week paid sabbatical after every 5 years of service.
  • Performance-based bonuses.
  • Contributory pension scheme.
  • Additional perks, including gym membership contributions and holiday gifts.

Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000

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