Building better and safer isn't a slogan, but the way we show up in the world.
THE ROLE
We're looking for a hands-on and forward-thinking Machine Learning Engineer.
In this role, you will be supported by a dedicated team, equipped to aid your success and bolster our rapid growth. At Critical, we deliver software solutions and consulting in complex, business-critical environments aimed at assisting our clients in achieving their business objectives through cutting-edge software solutions.
The ideal candidate will design, build, and deploy machine learning models and pipelines that solve real business problems across various departments. You will work hands-on across the full ML lifecycle — from data preparation and model development to deployment and monitoring — collaborating closely with stakeholders to turn their needs into robust, production-ready solutions.
WHAT YOU'LL DO
- Design, train, and evaluate machine learning models to address specific business problems.
- Build and maintain data pipelines and infrastructure to support model development and deployment.
- Deploy ML models into production and monitor their performance, reliability, and drift over time.
- Identify and resolve technical issues, bugs, and blockers as they arise during development and deployment.
- Work closely with team members across various departments to understand their data, processes, and needs, and adapt solutions accordingly.
- Iterate on deployed models to keep them accurate, efficient, and useful as needs evolve.
HOW YOU CAN INSPIRE
- You adapt fast and turn sharp, critical thinking into good decisions for the project.
- You are genuinely curious and challenge what needs to change and make bold calls.
- You see AI as the biggest shift of this generation and you want to be part of shaping it.
- When there is no map, you start drawing one rather than waiting for someone else to.
WHAT WE'RE LOOKING FOR
- Bachelor's or Master's in Computer Science, AI, Machine Learning or a related field.
- 5+ years of experience in software development, with hands-on experience building and deploying machine learning models.
- Solid coding skills (Python and relevant ML frameworks) and experience with the ML lifecycle from data to production.
- Clear oral and written communication skills for working with teammates and stakeholders.
- Practical, detail-oriented approach to debugging and improving models and pipelines.
- Ability to manage your own tasks and prioritize effectively, even with some ambiguity.
- A natural interest in ML techniques — old and new — and how they apply to real business problems.
WHAT WE OFFER
We invest in the people who make it all possible. Here's what that looks like in practice.
- Private health insurance
- Employee Assistance Programme (mental health, legal, financial support)
- Home office support
- Extra holidays: 2 additional days after year one, more as time goes on
- Extra parental leave: 2 additional months fully paid
- Gradual return-to-work support: We'll help you ease back from long breaks
- Sabbatical programme for long-term employees
- Training, mentorship, and growth opportunities: we'll invest in where you want to go next
ABOUT CRITICAL SOFTWARE
Every day we work on missions across industries as diverse as aerospace, space, defence, transport, telecoms, government, energy, finance, and healthcare. Building better and safer isn’t a slogan. It’s how we show up in the world.
Critical Software is proud to be a Benefit Corporation. A Benefit Corporation differs from a standard corporation (C-Corporation): It is a for-profit business entity, legally defined in the US and other jurisdictions, whose legally defined goals include the positive impact on society, workers, the community and the environment, in addition to profit.
We are an equal opportunity workplace and committed to allow candidates with disabilities or neurodevelopmental conditions to prove their competencies to their full potential. We are willing to move the barriers that may prevent you from demonstrating that you are the right candidate for this role, so please let us know if you need some adjustment in your recruitment process.
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