AI/ML Engineer – Applied AI for Real-World Impact
Location: Nottingham (Hybrid, 2 days per week)
The Opportunity
Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning cutting-edge machine learning into production-ready solutions that impact millions.
Want to make an application Make sure your CV is up to date, then read the following job specs carefully before applying.
You’ll work end-to-end on model development and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use.
What You’ll Do
* Design, implement, and optimise ML models for large-scale behavioural and temporal data
* Build and maintain robust, cloud-based data and model pipelines
* Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling)
* Collaborate with data scientists, engineers, and product teams to deliver scalable, explainable AI solutions
* Contribute to MLOps best practices, experimentation frameworks, and model governance
What You Bring
* Degree in Computer Science, Engineering, or related technical field
* 2+ years’ experience in applied ML, data engineering, or AI systems development
* Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL
* Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker, CI/CD)
* A practical mindset, curious, experimental, and focused on real-world delivery
Why Join
* Work with a modern AI/ML stack (Python, SQL, Databricks, cloud-first)
* Bridge research and production, building AI that genuinely matters
* Collaborate in a lean, ambitious team backed by deep technical expertise
* 30 days holiday, flexible working, and a culture built on curiosity and innovation
This is a chance to engineer AI that moves beyond prototypes, bringing real, measurable impact to how organizations make decisions and how people experience the world.