Senior Machine Learning Scientist (Experiences)

About This Opportunity

We are representing a confidential travel-tech organization seeking a Senior Machine Learning Scientist to join their London-based team. This role sits at the intersection of cutting-edge research and production ML engineering, powering discovery experiences for millions of users in the global travel marketplace.

As a senior technical lead, you will independently own the machine learning strategy for major product capabilities—including Search, Retrieval, Ranking, or Content AI—that directly impact how users discover and plan travel experiences. This position requires someone who can navigate technical ambiguity, implement custom algorithmic components, and translate offline model metrics into measurable business outcomes like conversion and engagement.

Responsibilities

• Technical Leadership: Act as the technical lead for specific ML projects within your pod. Design and implement custom model components or loss functions, breaking down complex research goals into deliverable, iterative milestones.
• State-of-the-Art Optimization: Evaluate the global research landscape to conduct cost-benefit analyses on new architectures, balancing model complexity against inference speed, memory usage, and execution costs. Optimize models for production using quantization and distillation techniques.
• Operational Rigor: Build Golden Datasets and leaderboards with minimal supervision. Implement rigorous validation automation including backtesting and slice-based evaluation to prevent data leakage, over-fitting, and production regressions.
• Engineering Collaboration: Partner closely with engineering leads to ensure compute/GPU infrastructure supports model requirements. Define model failure modes, edge cases, and confidence thresholds to enable robust fallback systems.
• Production Debugging: Diagnose complex algorithmic bugs and implement automated checks for silent failures such as concept drift or production feature distribution shifts. Lead team-level post-mortems and resolve blocking issues.
• Mentorship: Formally mentor mid-level and associate ML scientists, reviewing experimental logic to ensure high scientific rigor while guiding them through applied ML and production constraints.

What We're Looking For

Required Qualifications:

• Master's or Ph.D. degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
• 5+ years of industry experience developing, validating, and deploying large-scale ML models in production environments
• Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms
• Proven ability to adapt state-of-the-art architectures to solve non-linear business problems
• Mastery of Python and deep learning frameworks such as PyTorch, PyTorch Lightning, or TensorFlow
• Familiarity with data versioning and experiment tracking tools

Highly Desirable Experience:

• Multi-task learning (MTL), ranking systems, and Content AI stacks
• Next-generation retrieval pipelines and multi-stage ranking systems
• Advanced sequential recommendation systems for real-time user session dynamics
• Graph Neural Networks (GNNs), knowledge graphs, and multi-modal representation learning
• Generative AI and Agentic AI workflows for conversational discovery experiences

How We Work With You

Our talent team at Get A Job.ai partners with leading organizations to connect exceptional ML talent with transformative opportunities. Here's our process:

• Candidates apply directly through the Get A Job.ai platform
• Our specialized recruiter will screen your application and conduct an initial conversation
• We submit qualified candidates to our client for consideration
• Please do not contact the client organization directly—all communication flows through Get A Job.ai to ensure a smooth process

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruitment experience. We welcome applications from candidates of all backgrounds and work to ensure accessible hiring processes for everyone we represent.