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
This job posting may no longer be active. You may be interested in these related jobs instead:
Senior Data Engineer

Senior Data Engineer role at Disney Entertainment building scalable data platforms for streaming services and digital products, offering competitive compensation and benefits.

Sr. Software Engineer - Reference Data

Senior Software Engineer position at Addepar focusing on reference data management and data reconciliation, offering competitive compensation and remote work opportunity.

Sr. Software Engineer, Big Data

Senior Software Engineer position at Pinterest focusing on Big Data infrastructure, data warehousing, and analytics systems at petabyte scale.

Senior Software Engineer - Data Infrastructure

Senior Software Engineer position at Roblox focusing on building and scaling data infrastructure systems, offering competitive compensation and the opportunity to work on exabyte-scale analytics solutions.

Data Quality Senior Developer

Senior Developer position focused on data quality at Toyota North America

Description For Hybrid Data Scientist & ML/AI Engineer

Mumsnet is seeking a Data Scientist & ML/AI Engineer to join their dynamic data team. This role combines cutting-edge AI technology with practical applications, working on their proprietary MumsGPT platform that serves 9 million users. The position offers a unique opportunity to impact parent's lives through data-driven solutions and AI innovations.

The role involves developing machine learning models, working with LLMs, and building scalable data products. You'll be responsible for everything from predictive analytics to content moderation, using technologies like Python, TensorFlow/PyTorch, and various cloud platforms. The position requires both technical expertise and strong communication skills, as you'll be working across different teams to translate business requirements into data products.

Mumsnet offers a flexible work environment with only two required office days per week in Kentish Town, London. The company culture emphasizes work-life balance, particularly for parents and caregivers, with accommodating policies for family commitments. They provide comprehensive benefits including medical coverage, pension scheme, and various lifestyle perks.

The ideal candidate will have strong Python skills, experience with LLMs and AI models in production environments, and familiarity with MLOps practices. This role presents an excellent opportunity for someone passionate about applying AI/ML technologies to create meaningful impact while working in a supportive, flexible environment that values continuous learning and professional growth.

Last updated 2 months 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

Interested in this job?