Lead AI Engineer

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.

As a Lead AI Engineer, you will:

• Play a high impact role in driving our AI journey, helping intelligent org design become an everyday reality.
• Lead the technical delivery of, and help define, mission-critical AI initiatives - driving value through data enrichment and intelligent automation.
• Collaborate within a balanced, cross-functional team to design, develop, and deploy AI capabilities that enhance data quality and assist some of the world’s biggest brands in making excellent decisions with regards to their organisation.
• Apply deep machine learning and software engineering expertise to prototype, evaluate, and productionise models across a range of use cases, including structured and unstructured data.
• Work closely with Product Managers to shape the roadmap, clarify expectations, and translate customer needs into intelligent, data-driven solutions.
• Build and evolve internal tooling and frameworks to accelerate AI experimentation, deployment, and monitoring - enabling others to move faster and safer.
• Contribute to the ongoing development of a scalable, maintainable, and ethical AI architecture, ensuring compliance with security and governance standards.
• Stay hands-on, setting the example while mentoring others and sharing knowledge to raise the technical bar across the team.

Join us during an exciting, transformative phase, helping to shape our approach to intelligent systems as we simplify our platform and expand our product capabilities.

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.

Hybrid working - 1+ days a week in the London office.

Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day.

Subsidised Gym Membership, Private Medical Insurance (including Dental and Vision) and Life Assurance, 25 days holiday (increasing to 30 days at a rate of 1 extra day per year), Summer Fridays (half-day Fridays for the months of July and August), Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3%, Season ticket Loan, Cycle to Work Scheme, Annual Discretionary Bonus.

At Orgvue, we promote individualism and a diverse workforce to build on our future success.