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Machine Learning / MLOps Architect

Job LocationLondon
EducationNot Mentioned
Salary100,000 - 120,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time Work from home

Job Description

MACHINE LEARNING / MLOPS ARCHITECT(UK-Wide)Are you passionate about data and its transformational powers Do you like being able to make a huge difference in a limited period of time Are you seeking a career change with a people-centric businessThis is the perfect opportunity for a driven architect who has a passion for tailored solution design and is craving the variety and challenge of a consultancy environment.We are recruiting an experienced Machine Learning / MLOps Architect to join a fast-growing consultancy based in London that has a passion for data and quality of service.In this role you will be responsible for defining and implementing the MLOps strategy for several of their clients.You will champion best practices for the infrastructure and coding of machine learning-specific requirements. And get to balance creating a sustainable and robust long-term vision to the ML Platform with delivering the next best feature that will delivermeasurable benefits in the short-term as well, to add value to the business and your portfolio of clients.What sets this workplace apartOur client operate with integrity and deliver with excellence. They are practitioner-led and know its their gelled technical teams who are at the core of their success.They reward staff who excel and are aligned with the core values of the business: authenticity, humility, curiosity and expertise.They put inclusivity first and are actively fighting against gender and race biases and discrimination - to put it simply, they put people first.What we can offer:

  • Salary of £100,000 - £120,000 DOE
  • Share options scheme
  • 23 days annual leave plus bank holidays, plus flexible holiday scheme
  • Flexible working hours
  • Hybrid working arrangement (mostly remote with occasional travel to London)
  • Ongoing training and professional development programme
  • Mental health support / maintenance
  • EAP and 24/7 Virtual GP access
  • Extended fully paid 6-month maternity / 1-month paternity
  • Life assurance (4x salary)
  • Matched pension contributions (5%)
  • Flexible rewards, perks, and discount scheme
Skills and knowledge required:
  • Strong stakeholder management skills and preferably client-facing experience
  • The ability to articulate value-added and the benefits of a service/solution
  • Hands-on experience and great understanding of the engineering challenges of deploying enterprise-scale MLOps solutions and ML platforms
  • Extensive experience in data engineering (Python, PySpark)
  • General understanding of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance trade-off and more.
  • Experience delivering solutions in an Agile environment.
  • Strong data architecture and data analyst development skills
  • Experience with cloud-based services
  • Knowledge of the financial services sector would be a bonus, as while industry-agnostic they have many clients in the sector

Keyskills :
machine learning / solution architecture / mlops / machine learning architecture / consultancy

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