6 часов назад
Machine Learning Engineer
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer (Python/PyTorch/GCP): Deploying and operating production machine learning architectures, including batch processing systems, real-time microservices, retraining pipelines, and observability with an accent on full-lifecycle ML engineering and generative AI. Focus on designing sustainable cloud solutions, orchestrating large language model applications, and balancing technical trade-offs with product and commercial outcomes.
Location: London, England, United Kingdom. Workplace: Hybrid
Company
helps organisations solve complex technology challenges by combining human expertise, emerging technology, and AI.
What you will do
- Deploy and operate artificial intelligence and machine learning architectures in production environments.
- Build high-volume batch processing systems, real-time microservices, automated continuous retraining, and observability capabilities.
- Architect sustainable solutions across the complete machine learning lifecycle while protecting product outcomes.
- Develop deployment pipelines using cloud platforms, containers, and modern machine learning tooling.
- Work with engineering peers and business partners to explain technical trade-offs and align solutions with commercial objectives.
Requirements
- Hands-on experience operating machine learning systems in production.
- Strong Python and SQL foundations with experience using PyTorch, TensorFlow, and Scikit-learn.
- Practical experience with public cloud environments, preferably Google Cloud Platform, including BigQuery, Vertex AI, and Dataflow.
- Experience with deployment pipelines, version control, Docker, and Kubernetes.
- Familiarity with generative AI, large language models, and agent orchestration tools such as ADK, LangChain, or AutoGen.
- Ability to communicate technical trade-offs clearly and collaborate with technical and non-technical stakeholders.
Nice to have
- At least three years of professional experience as a Machine Learning Engineer or Data Engineer.
- A BSc, MSc, PhD, or equivalent qualification in Computer Science, Data Science, Engineering, or a related technical field.
- Understanding of commercial KPIs and experience connecting model performance with broader business objectives.
Culture & Benefits
- Collaborative, low-ego work across multidisciplinary teams.
- Emphasis on high-quality work, practical decision-making, learning, and measurable outcomes.
- Commitment to diversity, inclusion, and equal opportunities.
- Support for reasonable adjustments during the application and interview process.
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