Lead AI research initiatives at Galileo, focusing on generative AI and machine learning models. Collaborate with cross - functional teams to enhance AI - driven products and tools in an innovative environment.
About the role
- Senior AI Research Engineer focusing on practical applications of AI technologies for industrial intelligence. Involves building and operationalising AI models in a hybrid work environment.
Responsibilities
- Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability
- Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments
- Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets
- Assess AI approaches for scalability, reliability, cost, security, and operational feasibility
- Make and document engineering and architectural decisions related to model deployment and integration
- Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products
- Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders
- Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
- 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure
- 3+ years of hands-on experience building, training, evaluating, and deploying ML models
- Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace)
- Solid understanding of AI/ML deployment patterns, including: Batch and real-time inference, Model APIs and pipelines, Integration into distributed systems
- Practical experience with modern AI paradigms, such as: Foundation models / LLMs, Agent-based systems and orchestration, Context retrieval and augmentation techniques
- Demonstrated ability to lead technical investigations and drive them to concrete outcomes
- Ability to connect AI capabilities to practical industrial or enterprise use cases
Benefits
- Flexible benefits fund
- Emergency leave days
- Adoption leave
- 28 days annual leave (plus bank holidays)
- Pension
- Life cover
- Private medical insurance
- Parental leave
- Education assistance program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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