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6 дней назад

Senior Machine Learning Engineer (Fintech)

72 702 - 80 780GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Engineer (Python/Cloud/MLOps): Building and maintaining production machine learning systems for the Consumer banking business with an accent on software engineering, data platforms, and model governance. Focus on taking experiments into production, integrating CI/CD and platform services, leading incident resolution, and improving large-scale architectures.

Location: Bristol, Chester or Manchester, United Kingdom; hybrid with at least two days per week or 40% of working time at an office site

Salary: £72,702–£80,780 per year

Company

hirify.global is a UK financial services organisation building digital and machine learning solutions for its Consumer business and customers.

What you will do

  • Develop and maintain production machine learning systems in Python with data scientists and machine learning engineers.
  • Take projects from experimentation through production, integrating CI/CD tools, APIs, Dynatrace, and other systems.
  • Collaborate with business, platform, architecture, governance, and technical teams to define requirements and influence decisions.
  • Propose and evaluate technology, platform, and architecture choices in line with engineering standards.
  • Provide technical leadership through knowledge sharing and consistent engineering practices.
  • Lead incident management, resolution, and continuous improvement for machine learning solutions.

Requirements

  • Advanced understanding of software engineering, programming, automated testing, CI/CD, and production deployments.
  • Commercial experience with Python machine learning libraries including Pandas, Scikit-learn, and XGBoost.
  • Experience with cloud services, data stores, and architectures such as Vertex AI, BigQuery, and Cloud Run.
  • Hands-on experience with MLOps tooling and large datasets, including Kubeflow Pipelines, dbt, and production monitoring.
  • Experience with Infrastructure as Code, Terraform, Kubernetes, API authentication flows, and networking.
  • Experience across the full software development lifecycle and collaborating with platform, architecture, and governance teams.

Nice to have

  • Exposure to generative AI and agentic tooling such as Agent Development Kit or LangChain.
  • Experience configuring large language models to optimise cost and benefit.
  • Understanding of retail banking or willingness to learn the domain.

Culture & Benefits

  • Flexible and collaborative hybrid working environment.
  • Career progression and personal and professional development support.
  • Pension contribution of up to 15% and an annual performance-related bonus.
  • Share schemes, including free shares, and lifestyle benefits such as discounted shopping.
  • 30 days of holiday plus bank holidays, wellbeing initiatives, and parental leave policies.
  • Workplace adjustments and recruitment support for colleagues with disabilities, long-term health conditions, or neurodivergent conditions.

Hiring process

  • Reasonable adjustments are available throughout the recruitment process.
  • Eligible applicants with disabilities, long-term health conditions, or neurodivergent conditions may receive a guaranteed interview through the Disability Confident Scheme.

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