Hybrid Data Scientist & ML/AI Engineer

The role

We are looking for a talented Data Scientist / Machine Learning Engineer to join our dynamic data team at Mumsnet. You will play a key role in building data-driven products and leveraging AI/LLM technologies to enhance our platform and user experience. Your work will have a direct impact on our 9 million users, driving innovation through machine learning and data analytics. 

You will be responsible for designing, developing, and deploying machine learning models, as well as integrating AI-driven solutions via APIs. Strong communication skills are essential, as you will collaborate with teams across product, engineering, and commercial to translate their requirements into actual data products. We have successfully built our very own AI platform, MumsGPT, which is a combination of AI-agents that bring together and analyse all Mumsnet’s qualitative and quantitative data in a super efficient and user friendly way. In this role, you will be responsible for maintaining and improving the platform as well as building new ML/AI driven data products.

This is a fantastic opportunity to be part of an exciting, growing team that is shaping the future of Mumsnet with cutting-edge data science and AI solutions.

What you’ll be doing

Every day in the Mumsnet data team is different. We work with web traffic, textual data, and large datasets to develop new data products and AI-powered features. Your responsibilities will include:

• Machine Learning & AI Development:
• Designing, training, and deploying machine learning models for predictive analytics, personalization, and automation, with a particular focus on NLP applications.
• Leveraging AI/LLMs (e.g., GPT, Gemini, LLaMA) for content moderation, entity extraction, analysing and summarising huge amounts of text data, and other business needs.
• Data Product Development:
• Building and maintaining scalable data products, pipelines, and REST APIs.
• Implementing ML models in production, ensuring performance, monitoring, and scalability.
• Data Engineering & Analytics:
• Working with ingestion and processing of structured and unstructured data from multiple sources.
• Collaborating with team members to optimize data infrastructure and ETL workflows.
• Stakeholder Collaboration & Communication:
• Partnering with the product team to implement data-driven features.
• Presenting insights and recommendations to both technical and non-technical stakeholders.
• Documenting and sharing best practices for AI/ML model development.

Why work for us?

We focus on steady, sustainable growth, putting purpose (to make parent’s lives easier) before profit. We expect great performance, agility and collaboration in every role; cross-team working with talented, clever people is the best part of life at Mumsnet. Most importantly we’re looking for candidates with a growth mindset - we know everyone makes mistakes, the important thing is to learn from them and to share your learnings.

We embraced flexible and home working a long time before COVID, and we care much more about outputs than hours on the clock. We don't only want to hire the best people: we want to retain them. If you need some flexibility, let us know and we’ll do our best.

We’re committed to diversity and quality (see our policy ) and we think we’re second to none in the all-round support we offer to parents and carers at work (see our parental leave policies ). Working for Mumsnet means never having to pretend you don’t have a family or other commitments, and we promise never to keep you away from a school appointment. We are also proud to be a London Living Wage employer and we have never used unpaid interns.

We have a healthy line-up of sandwich lunches, knowledge sessions, book clubs, yoga sessions, monthly socials and sports teams, as well as an unhealthy line-up of staff parties at Kentish Town’s excellent pubs and restaurants, and McDonald’s deliveries for the mornings after.

WFH

We’ve continued to embrace flexibility and remote working to the max. You’ll only be required to be in the office two days a week (although you can go in more often if you wish). We’re flexible with hours and happy to accommodate personal commitments like picking the kids up from school. We’re more interested in output than presenteeism, so if you need to move things around, we can probably work it out.

How we'll support you

• Weekly or bi-weekly 1-1 with line manager to review progress, agree roles, provide support;
• Formal 6-month appraisal system;
• Buddy and Mentor Programmes;
• LinkedIn online learning - bi-weekly DEAL(Drop Everything And Learn) sessions, training to be agreed with your line manager;
• Ongoing on the job training from your line manager.

This role sits within our data team and reports into the Chief Data Officer and is based at our offices in Kentish Town. This role is envisaged as full-time but we are happy to consider flexible options for the right candidate.

If all of this sounds good to you, please apply with your CV and a covering letter that demonstrates some of the qualities we’re looking for.

Requirements

• Technical Skills:
• 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 for deployment, monitoring, and model lifecycle management.
• Knowledge of general CI/CD best practices
• Experience with Docker for containerisation and deployment
• Soft Skills:
• Strong analytical mindset and problem-solving abilities.
• Ability to communicate complex data concepts to non-technical audiences.
• Passion for learning new AI/ML technologies and applying them in real-world applications.
• Nice to Have:
• Exposure to A/B testing and experimental design.
• Familiarity with Reinforcement Learning with Human Feedback (RLHF).

Benefits

We’re pleased to offer the following benefits, subject to eligibility:

• Salary range between £45,000-£75,000 depending on expertise and experience
• 25 Days Holiday
• Buy More Holiday Scheme
• Cycle2Work Scheme
• Employee Assistance Programme
• Mumsnet Workplace Pension Scheme
• Electric Vehicle Scheme
• LinkedIn Learning Subscription with fortnightly “Drop Everything And Learn” time
• Leisure and Retail perks discounts through the Perkbox platform
• BUPA Private Medical cover
• Wellness benefits including daily workouts and meditations via Perkbox
• Monthly team social events
• Annual team bonus opportunities .

Want to know more?

Check out  - our guide to what it's like to work at Mumsnet. Read about our mission, our vision, our values and the behaviours we expect of the people who work at Mumsnet.