Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Bumbleinc

At a Glance

  • Tasks: Lead AI and Machine Learning strategies to enhance user engagement and safety across Bumble products.
  • Company: Join Bumble, a forward-thinking tech company focused on innovation and inclusivity.
  • Benefits: Enjoy unlimited PTO, private health insurance, and a personal learning budget.
  • Other info: Embrace a culture of respect, excellence, and continuous learning in a dynamic environment.
  • Why this job: Make a real impact in the world of AI while mentoring others and driving innovation.
  • Qualifications: 10-15 years in machine learning with expertise in Python and ML frameworks.

The predicted salary is between 70000 - 90000 £ per year.

Responsibilities

  • Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety
  • Design, develop, and deploy production‑grade models using modern ML frameworks such as Py Torch, ensuring scalability and reliability in high‑traffic environments
  • Build and deploy production AI Agents using raw and fine‑tuned foundational Large Language Models (LLMs), along with sub‑agents, tools, and MCP integrations
  • Architect end‑to‑end ML pipelines, integrating data processing (e. g. Spark, Airflow) with model training, evaluation, and deployment workflows
  • Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes
  • Partner cross‑functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels
  • Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community
  • Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset
  • Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems

Qualifications

  • Typically requires 10–15 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
  • Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments.
  • Strong proficiency in Python and at least one major ML framework (e. g. Py Torch, Tensor Flow), with experience in areas such as recommendation systems, ranking models, or NLP.
  • Expertise in prompting and fine‑tuning Large Language Models (LLMs) and building production AI Agents.
  • Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems.
  • Demonstrated ability to operate as a senior individual contributor, influencing technical strategy and decision‑making without direct authority.
  • Experience partnering effectively across functions, collaborating with purpose and taking ownership of outcomes in complex organisational environments.
  • A track record of mentoring and uplifting others, role‑modeling Respect and Excellence while building inclusive, high‑performing teams.
  • Strong AI fluency, with the ability to independently design, evaluate, and optimise ML systems, and guide others in the responsible and effective application of AI.

Compensation

Will be determined based on factors such as the selected candidate’s qualifications, relevant experience, skill set, and other job‑related considerations.

Benefits & Perks

  • Annual personal learning & development budget
  • Private Medical Insurance (PMI)
  • Private Dental Insurance
  • Babylon Health app
  • Mental health support
  • Enhanced parental leave, including a highly competitive maternity package
  • Unlimited PTO
  • Subsidised gym membership
  • ‘Double matched’ pension contributions up to 6%
  • Premium App Access
  • Inclusive Hiring

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non‑binary people, veterans, parents, people with disabilities, and neurodivergent people to apply.

We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

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Principal Machine Learning Engineer, Matching and Recommendations (UK Based) employer: Bumbleinc

Bumbleinc is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive perks such as private medical and dental insurance, a personal development budget, and unlimited paid time off, all while working in a supportive environment that prioritises professional growth and the use of cutting-edge AI technologies.

Bumbleinc

Contact Details:

Bumbleinc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

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We think you need these skills to ace Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

Machine Learning
AI Strategy Development
Model Deployment
PyTorch
Large Language Models (LLMs)
Data Processing (Spark, Airflow)
A/B Testing

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