United Kingdom - Hybrid•Portugal - Remote•Spain - Remote•United States (East Coast Time Zone) - Remote
Hybrid
Senior
Full Time
19 days ago
💰$191,737 - $235,214
machine learningfraud detectionremotehybridsenior rolecryptoblockchain
Requirements
- •Proven track record of building, deploying, and maintaining machine learning models in production, ideally in fraud, payments, or other risk-focused domains
- •Ability to frame problems, develop hypotheses, and iterate on models through structured experimentation
- •Strong understanding of the end-to-end ML lifecycle, including monitoring and iteration in production
- •Experience designing and operating real-time or high throughput data systems (e.g. think Apache Beam, Apache Spark, BigQuery, or similar)
- •Strong problem-solving skills and ability to operate autonomously in a fast-moving environment
What You'll Do
- •Build and deploy machine learning models to evaluate transactions and customer behaviour in real-time and batch environments
- •Develop and iterate on fraud detection models through hypothesis-driven experimentation across multiple products
- •Own the full ML lifecycle from feature engineering and model development through to deployment, monitoring, and continuous improvement
- •Design and build features from large-scale datasets, including real-time feature generation
- •Apply advanced modelling techniques (e.g. gradient boosting, deep learning) and take them to production
- •Collaborate cross-functionally to ship models and ensure they deliver measurable impact
- •Improve ML infrastructure through pipelines, automation, and internal tooling
- •Monitor and evolve models to ensure reliability, performance, and robustness over time
Nice to Have
- •Familiarity with modern ML infrastructure and orchestration tools (e.g. Kubeflow, Airflow, Vertex AI or similar)
- •Experience with cloud platforms (GCP, AWS, or Azure) and distributed systems
- •Background in time series data, adversarial modelling, or counterfactual analysis
- •Experience with deep learning frameworks (e.g. PyTorch)
- •Contributions to ML tooling, internal platforms, or open-source projects
Benefits
- •Competitive salary package
- •Equity package
- •Pay for performance equity bonus
- •Moonshot award with $250,000 equity grant
- •Unlimited holidays
- •Hybrid working schedule with remote or office options
- •Private Healthcare benefits
- •Enhanced parental leave
- •Annual training budget
- •Home office setup allowance
- •Remote working allowance
- •Monthly budget to spend on company products and zero fee crypto transactions
- •Employee referral programme with 10K USDC reward
- •Regular remote company offsites
- •Working in a disruptive and fast-growing company where excellence is rewarded
