Machine Learning Engineer

An award-winning innovative tech consultancy delivering solutions for leading organizations since 1993.
Machine Learning
Mid-Level Software Engineer
Hybrid
AI · Enterprise SaaS

Description For Machine Learning Engineer

BJSS is seeking a Machine Learning Engineer to join their team of creative problem solvers. As part of this role, you'll collaborate with top industry experts in multi-disciplinary teams, working in a fast-paced, agile environment. Your responsibilities will include implementing machine learning algorithms, building production Machine Learning systems, and developing MLOps processes.

Key aspects of the role:

  • Applying cross-disciplinary thinking to solve complex problems
  • Building a deep understanding of business domains and user needs
  • Ensuring business value is unlocked as early as possible
  • Thinking holistically and treating data as a business service

The ideal candidate should have:

  • Proven Machine Learning expertise with hands-on experience in developing and deploying ML models in production
  • Strong software engineering skills, particularly in Python
  • Deep understanding of key Data Science and ML libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow)
  • Experience in model productionization and MLOps
  • Familiarity with CI/CD pipelines in an ML context
  • Experience with major cloud platforms (Azure, AWS, GCP)
  • Exceptional problem-solving and analytical skills

BJSS offers a range of benefits, including:

  • Flexible benefits allowance
  • Comprehensive health and wellbeing plan
  • Life Assurance
  • 25 days annual leave plus bank holidays
  • Hybrid working model
  • Training opportunities and incentives
  • Electric vehicle scheme
  • Industry-leading referral scheme
  • Opportunities for community involvement and giving back

Join BJSS to work on exciting digital programmes for clients across various industries, collaborating with some of the brightest minds in the field.

Last updated 3 months ago

Responsibilities For Machine Learning Engineer

  • Collaborate with multi-disciplinary teams in a fast-moving, agile environment
  • Implement machine learning algorithms
  • Build production Machine Learning systems
  • Develop MLOps processes
  • Apply cross-disciplinary thinking to solve complex problems
  • Build deep understanding of business domains and user needs
  • Ensure business value is unlocked as early as possible
  • Think holistically and treat data as a business service

Requirements For Machine Learning Engineer

Python
  • Proven Machine Learning expertise with hands-on experience in production environments
  • Proficiency in Python, focusing on testable, modular code
  • Strong understanding of data structures, data modeling, and software architecture
  • Deep knowledge of Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow)
  • Experience in taking Machine Learning models from development to production
  • Familiarity with CI/CD and MLOps practices
  • Experience with major cloud platforms (Azure, AWS, GCP)
  • Exceptional problem-solving and analytical skills

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
401k
Equity
  • Flexible benefits allowance
  • Comprehensive health and wellbeing plan
  • Life Assurance (4x annual salary)
  • 25 days annual leave plus bank holidays
  • Hybrid working model
  • Discounts from various brands
  • Industry-leading referral scheme
  • Flexible holiday buy/sell option
  • Electric vehicle scheme
  • Training opportunities and incentives
  • Opportunities for community involvement
  • Social events and team building activities
  • GymFlex gym membership programme

Interested in this job?

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