Lead Machine Learning Engineer 12m FTC
Harnham
Manchester, UK
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£95,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Continuous Integration
Data Architecture
Data Infrastructure
Python (Programming Language)
Machine Learning
Cloud Platform System
Large Language Models
Apache Spark
IT Architecture
Pyspark
+2 more
Machine Learning Operations
Databricks
Job description
- Lead the development of machine learning engineering capability across the business
- Design, build, and productionise ML models and data products
- Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance)
- Build scalable data and ML pipelines on Azure-based platforms
- Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions
- Contribute to data architecture, standards, and best practice across the organisation
- Provide technical leadership, mentoring, and guidance to engineers and wider teams, * Opportunity to build and shape ML engineering within a growing data function
- High-impact role with ownership of architecture, tooling, and best practice
- Exposure to modern AI and LLM use cases
- Clear pathway to a permanent role
Requirements
- Strong experience in ML engineering, MLOps, and data/AI architecture
- Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred)
- Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks)
- Hands-on experience with NLP and LLMs, including deployment and optimisation
- Experience building scalable pipelines, model governance processes, and production systems
- Ability to translate business requirements into robust technical solutions
- Strong stakeholder management and leadership experience
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