Job Title: Senior Machine Learning Scientist
Location: Remote
AboutFluidata
We build practical, high-performance data systems for fast-growing companies. Our team works across the full stack - data engineering, analytics, automation, and AI - to turn messy operational data into insights leaders can rely on.
Our team is made up of people who learnfast, build with intention, and work directly on challenges that shape how organizationsoperateand make decisions.We'regrowing quickly and are looking for people who want to grow with us.
Role Overview
The Senior Machine Learning Scientist leads the design and delivery of advanced AI/ML solutions, with a strong focus onLLMs,Retrieval-Augmented Generation(RAG), embeddings, and predictive modelling. The role combines hands-on development with technical leadership, managing end-to-end ML workflows and guiding teams to deliverscalable, production-ready solutionswhile influencing technical strategy.
Core focus includes buildinggenerative AI solutionsusing LLMs, RAG pipelines, and agentic workflows,anddevelopingpredictive modelsfor forecasting and classification. The roleemphasisesapplying deep learning and statistical techniques, ensuring model scalability, monitoring, and real-world applicability.
Key Responsibilities
AI/ML Solution Development
- Lead research, design, andoptimisationof ML models to solve complex problems
- Apply advanced techniques (deep learning, generative AI) and integrate emerging innovations
Data Engineering & Model Integration
- Prepare and process large datasets to enhance model performance
- Collaborate on deploying scalable, reliable ML solutions in production environments
Technical Leadership
- Provide technical direction, guide solution design, and mentor team members
- Drive architectural decisions and align projects with business goals
Governance & Best Practices
- Ensure ethical AI practices (fairness, transparency, interpretability)
- Contribute to documentation, reusable assets, and knowledge sharing
Required Qualifications
- Master's or Ph.D. in a relevant field(preferred)
- Either a recent Ph.D.plus35 years of AI/ML industry experienceor 4-7 years of experience in total
Technical Skills
Programming & Tools
- Strong Python programming skills
- Experience with ML frameworks (PyTorch, Scikit-learn, Hugging Face)
- Familiarity with Databricks, R, or C++ is a plus
Machine Learning & AI
- Solid understanding of ML algorithms, statisticalmodelling, andoptimisation
- Experience with predictivemodelling, LLMs, embeddings, RAG, and deep learning
Production & Infrastructure
- Experience deploying ML models in production
- Familiarity with cloud platforms (AWS, GCP, Azure)
- Knowledge ofMLOpspractices and tools
Leadership & Soft Skills
- Strong analytical and problem-solving abilities
- Effective collaboration across teams andtheability to work independently
- Clear communication with both technical and non-technical stakeholders
- Proven mentorship and ability to influence technical decisions
Key Competencies
- Ownership of end-to-end ML solutions
- Expertisein integrating LLMs with predictive ML
- Technical leadership and stakeholder alignment
- Strong focus on continuous learning and innovation
What We Offer:
- Fully Remote work setup.
- Daily collaboration and guidance from themanagementteam.
- Competitive compensation packages that reward high performance.
- Exciting career growth paths toward management leadership and a supportive culture thatfacilitatescontinuous learning.
- Collaborative team-based environment.
- Prominent client base and existing high-value relationships
- Best-in-class team of consultants to work alongside you.
