Hybrid Data Scientist & ML/AI Engineer

A platform focused on making parents' lives easier, serving 9 million users with data-driven products and AI solutions.
$45,000 - $75,000
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Enterprise SaaS

Description For Hybrid Data Scientist & ML/AI Engineer

Mumsnet is seeking a Data Scientist & ML/AI Engineer to join their data team in a hybrid role based in London. The position offers an opportunity to work on cutting-edge AI/ML solutions, including their proprietary MumsGPT platform, serving 9 million users. The role combines machine learning engineering with data science, focusing on building data-driven products and leveraging AI/LLM technologies.

The successful candidate will be responsible for designing and deploying machine learning models, working with LLMs, and developing scalable data products. The role requires expertise in Python, various ML frameworks, and cloud platforms, with a strong emphasis on practical AI implementation and production deployment.

Mumsnet offers a flexible work environment with only two required office days per week, comprehensive benefits including medical coverage, and a strong focus on work-life balance. The company culture emphasizes learning and development, with regular training sessions and social events. The salary range of £45,000-£75,000 reflects the senior nature of the position.

The company stands out for its commitment to supporting parents and carers, offering flexible working arrangements and understanding of family commitments. Their technical infrastructure includes modern AI tools and frameworks, providing an excellent opportunity for professional growth in the AI/ML field while contributing to a platform that makes a real difference in parents' lives.

Last updated 24 minutes ago

Responsibilities For Hybrid Data Scientist & ML/AI Engineer

  • Designing, training, and deploying machine learning models for predictive analytics, personalization, and automation
  • Leveraging AI/LLMs for content moderation, entity extraction, and text data analysis
  • Building and maintaining scalable data products, pipelines, and REST APIs
  • Implementing ML models in production
  • Working with ingestion and processing of structured and unstructured data
  • Collaborating with team members to optimize data infrastructure
  • Partnering with the product team to implement data-driven features
  • Presenting insights and recommendations to stakeholders
  • Documenting and sharing best practices for AI/ML model development

Requirements For Hybrid Data Scientist & ML/AI Engineer

Python
  • Strong proficiency in Python and relevant frameworks/libraries (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch, LangChain, LangGraph, Hugging Face, etc.)
  • Experience working with LLMs and AI models in production environments
  • Experience building RAG-based applications and vector databases
  • Experience with graph databases like Neo4J or Memgraph
  • Hands-on experience with SQL and cloud platforms (GCP, AWS, or Azure)
  • Experience building APIs for AI/ML models using FastAPI, Flask, or similar frameworks
  • Proficiency in data visualization tools (Looker, Streamlit, Plotly, matplotlib, etc.)
  • Knowledge of MLOps best practices
  • Knowledge of general CI/CD best practices
  • Experience with Docker for containerisation and deployment
  • Strong analytical mindset and problem-solving abilities
  • Ability to communicate complex data concepts to non-technical audiences

Benefits For Hybrid Data Scientist & ML/AI Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • 25 Days Holiday
  • Buy More Holiday Scheme
  • Cycle2Work Scheme
  • Employee Assistance Programme
  • Mumsnet Workplace Pension Scheme
  • Electric Vehicle Scheme
  • LinkedIn Learning Subscription
  • Leisure and Retail perks discounts through Perkbox
  • BUPA Private Medical cover
  • Wellness benefits including daily workouts and meditations
  • Monthly team social events
  • Annual team bonus opportunities

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