Orgvue is an organisational design and planning platform that empowers your business to transform its workforce by understanding the work people do and the skills they have. Our platform connects strategy to structure, providing clarity of vision, so you can build a more adaptable, better performing organisation that thrives in a constantly changing world of work.
The world’s largest and best-known enterprises and consulting firms use Orgvue to visualise and model current and future states of the organisation and make faster, more informed decisions. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney.
We have an opening to join one of our product development teams, contributing to the continued success of our custom technical solutions and SaaS products. It will be possible to work at all stages of the development lifecycle including design, implementation and testing, as well as providing feedback to evolve our development techniques.
Working in one of our development teams, you will develop solutions for our SaaS products. As part of the product development capability here at Orgvue, we make use of emerging technologies bringing many opportunities for learning and innovation.
We are seeking an engineer with strong software development skills and experience developing cloud based microservices to join our services team which enables our SaaS products.

DESIRED SKILLS & EXPERIENCE:

• Proven experience delivering machine learning or AI-powered features into production, ideally in a B2B SaaS or data-rich environment.
• Strong background in machine learning, data science, or applied AI, with hands-on experience in model development, evaluation, and deployment.
• Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar
• Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases.
• Understanding of software engineering best practices including version control, testing, CI/CD, containerisation, and observability.
• Familiarity with MLOps principles - automated pipelines, model versioning, model monitoring, and reproducibility.
• Excellent communication skills with a collaborative mindset - you thrive on pairing with engineers, data scientists, and product managers.
• A growth mindset with a passion for continuous learning and improvement, and a willingness to explore new techniques, frameworks, or technologies.

Please refer the Job description for details