Machine Learning Engineer (London)

In Technology Group
London
2 days ago
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Head of Data, BI, and AI @ In Technology Group.

Job Title:Machine Learning Engineer – Finance

Location:London (2 days on-site)

About Us

Our client is a fast-growing FinTech startup redefining how mid-sized enterprises manage liquidity, credit, and cross-border finance. Since 2020, they’ve grown to a 60-person team across the UK, closed our Series B, and are backed by top-tier investors including Notion and Accel.

At the core of our platform isintelligent decision-making at scale… and that’s where you come in. We’re now looking for aMachine Learning Engineerwho’s ready to take ownership of production-level models that directly impact risk, underwriting, and transaction workflows.

What You’ll Do:

  • Design, build, and deploy ML models for real-time credit risk scoring, fraud detection, and dynamic pricing
  • Architect and implement end-to-end ML pipelines (from data ingestion and feature engineering to monitoring and retraining)
  • Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform
  • Experiment with and apply state-of-the-art techniques inNLP, time series, and anomaly detection
  • Own model evaluation, explainability, and monitoring frameworks in production
  • Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas to the table

What we’re looking for:

  • Strong Python skills and experience in ML libraries likescikit-learn, PyTorch, TensorFlow, orXGBoost
  • Hands-on experience building and deploying ML models into production environments
  • Familiarity withML Opsworkflows (e.g., MLflow, Airflow, Weights & Biases, or Kubeflow)
  • Experience working withstructured data(credit, payments, customer behaviour) and applyingfeature engineeringat scale
  • Understanding ofmodel performance metrics, calibration, A/B testing, and monitoringin production systems
  • Experience withcloud platforms(GCP, AWS or Azure), especially managed ML services like SageMaker or Vertex AI
  • Proficiency inSQLand working knowledge of distributed computing tools likeSpark or Dask

Nice to Have:

  • Experience withnatural language processing (NLP)e.g., using LLMs, transformers, text classification
  • Familiarity withGraph ML(e.g., for customer network analysis or fraud detection)
  • Exposure tofinance, credit risk modelling, or regulated environments
  • Strong software engineering fundamentals, version control, CI/CD, testing
  • Previous startup experience or entrepreneurial mindset

What We Offer:

  • A chance to work on real-world ML problems that power decisions across millions in daily transactions
  • Competitive salary and meaningfulequity
  • 25 days holiday + bank holidays
  • Generous learning budget + conference support
  • An open, inclusive culture where experimentation is encouraged and your voice will be heard

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionFinance, Analyst, and Information Technology
  • IndustriesFinancial Services and Technology, Information and Media

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