Principal Machine Learning Engineer, Remote/Zurich
Richard Wheeler Associates
Principal Machine Learning Engineer, Remote/Zurich
Richard Wheeler Associates jobs

Principal Machine Learning Engineer - Zurich start-up

UK / Zurich

To £160k + benefits

This is an MSc/PhD level Principal ML Engineer position with a supremely well-funded AI start-up based in Zurich. UK home-based with fully expensed (hotel, flights etc) monthly visits to Zurich office.

The Principal ML role will see you 'in at the start’ working closely with equally senior FE, Data, Blockchain, AI, UI/UX specialists. Plans are in place to scale the business ambitiously from Q2. The framework is complete, and now they need to build the MVP.

It’s a supremely fascinating product and challenge.

You will need substantial commercial experience (5+ years) as a go-to senior Machine Learning specialist in a technology-led company together with demonstrably strong leadership skills, problem-solving abilities, and excellent communication. You’ll already be on a high salary.

Our client is committed to revolutionizing the construction industry, simplifying the building and renovation process for everyone. By combining advanced technologies, such as 3D visualization, precise material calculation, and blockchain-powered transparency, with seamless e-commerce and logistics, they provide a one-stop solution that empowers customers to bring their construction visions to life efficiently and effortlessly.

A flavour of the role:

  • Develop and train ML models for precise material requirement calculations
  • Optimize ML models for accuracy, efficiency, and scalability
  • Collaborate with Data Engineers to integrate ML models into the platform’s backend
  • Perform data analysis to identify patterns and insights that inform model development
  • Test and validate ML models to ensure their reliability and performance
  • Implement and maintain model monitoring to detect and address performance issues
  • Implement algorithms to keep AI behaviour within defined operational ranges, ensuring safety and compliance
  • Document ML models and methodologies for future reference and scalability
  • Stay updated with the latest ML research and industry trends to continuously improve model capabilities
  • Work closely with the Product and Development teams to ensure alignment of ML initiatives with business objectives
  • Troubleshoot and resolve issues related to ML model performance and data quality

Requirements:

  • Minimum BSc (1st/2.1) in Computer Science, Mathematics, or Statistics; PhD/Masters preferred
  • Minimum of 5 years of work experience as an ML Specialist or in a similar role within a technology-driven company
  • Strong background in machine learning algorithms, data analysis, and model training
  • Proficient in programming languages such as Python, R, or Java
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Familiarity with data preprocessing and feature engineering techniques
  • Experience with cloud-based ML services is a plus
  • Demonstrated ability to implement algorithms that ensure AI operates within established parameters and safety standards

Benefits:

  • Competitive salary
  • All social contributions fully covered by the company
  • Comprehensive health insurance
  • Opportunities for professional growth and development
  • Flexible working hours and remote work options
  • Dynamic and inclusive work environment
  • All hybrid costs, eg travel between UK and Switzerland, accommodation, fully met
  • Free lunch*
  • Access to a fully equipped free gym*

*when working in Zurich office

Interviews are already underway. The brightest and best talents across Europe, US Eastern Seaboard pitching for just 3 ML openings. The core senior team will come on board over the spring. If you have the skills and experience to make a measurable difference in such a lead role, we’d love to hear from you!

Skills
  • Algorithms
  • Data Analysis
  • Machine Learning
  • ML
  • Python
Reference: 54436673
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