Senior Machine Learning Operations Engineer
Senior Machine Learning Operations Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Were 1st Central a marketleading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great value insurance with an excellent service. And thats the same for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too!
Were big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But its the people inside and outside our business that power us and were currently on the hunt for 2 experienced Senior Machine Learning Operation Engineers to join our Data Function.
Youll play a significant role within our Data Function working on the design and implementation of machine learning model engineering frameworks solutions and best practices. Youll be technically proficient in machine learning and its applications; youll demonstrate an understanding of data management and show a keen interest in keeping up with industry trends. Youll work closely with different teams such as Data Science Data Engineering Architecture and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion model development testing validation deployment to monitoring and retraining of models within different environments.
If youve a strong understanding of Microsoft Azure fluency in data science coding and expertise in MLOps frameworks we want to hear from you. Bring your excellent communication problemsolving and organizational skills to our team and help us drive innovation and excellence.
This is a flexible hybrid working role with occasional visits to our offices when requiredin either Salford Quays Manchester Haywards Heath West Sussex or Guernsey.If you live further afield well accept applications for remote workers! We offer great flexibility in working patterns and a companywide culture to be proud of.
Core skills were looking for to succeed in the role:
- A strong understanding of Microsoft Azure (Azure ML Azure Stream Analytics Cognitive services Event Hubs Synapse and Data Factory)
- Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch Tensorflow etc
- Youll be skilled in application of MLOps frameworks within a production environment
- Excellent communication skills both verbal and written
- Strong time management and organisation skills
- Ability to diagnose and troubleshoot problems quickly
- Excellent problemsolving and analytic skills
Powering the business with the right tools
Whats involved:
- Youll contribute to the design and implementation of Machine Learning Engineering standards and frameworks.
- Youll support model development with an emphasis on auditability versioning and data security.
- Youll implement automated data science model testing and validation.
- Youll assist in the optimisation of deployed ML model scoring code in production services.
- Youll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions.
- Youll use CI/CD pipelines manage the deployment and version management of large numbers of data science models (Azure DevOps).
- Youll support the implementation of Machine Learning Ops on cloud (Azure & Azure ML. Experience with Databricks is advantageous.)
- Youll protect against model degradation and operational performance issues through the development and continual automated monitoring of model execution and model quality.
- Youll manage automatic model retraining within a production environment.
- Youll engage in group discussions on system design and architecture sharing knowledge with the wider engineering community.
- Youll collaborate closely with data scientists data engineers architects and the software development team.
- Youll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements.
- Youll adhere to the Group Code of Conduct and Fitness and Propriety policies Company Policies Values guidelines and other relevant standards/ regulations at all times.
Experience & knowledge
- Experience in developing and maintaining production ML systems including automatic model retraining and monitoring of production models
- Deploying Infrastructure as Code (IAC) across various environments such as dev uat and prod
- Handling large volumes of data in various stages of the data pipeline from ingestion to processing
- Proven experience with feature stores using them for both offline model development and online production usage
- Building integrations between cloudbased systems using APIs specifically within the Azure environment
- Practical knowledge of agile methodologies applied in a data science and machine learning environment
- Designing implementing and maintaining data software development lifecycles with a focus on continuous integration and deployment (CI/CD)
- Demonstratable expertise in machine learning methodology best practices and frameworks
- Understanding of microservices architecture RESTful API design development and integration
- Basic understanding of networking concepts within Azure
- Familiarity with Docker and Kubernetes is advantageous
- Experience within financial/insurance services industry is advantageous
- Experience with AzureML and Databricks is advantageous
Skills & Qualifications
- Strong understanding of Microsoft Azure (Azure ML Azure Stream Analytics Cognitive services Event Hubs Synapse and Data Factory)
- Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch Tensorflow etc.
- Skilled in application of MLOps frameworks within a production environment
- Excellent communication skills both verbal and written
- Strong time management and organisation skills
- Ability to diagnose and troubleshoot problems quickly
- Excellent problemsolving and analytic skills
Behaviours
- Embrace embed and incorporate the company values
- Selfmotivated and enthusiastic
- An organised and proactive approach
- Strong stakeholder management
- Ability to work on own initiative and as part of a team
- A flexible approach and positive attitude
- Strives to drive business improvements to contribute to the success of the business
This is just the start. Imagine where you could end up! The journeys yours
What can we do for you
People first. Always. Were passionate about our colleagues and know the best people deserve an extraordinary working environment. We owe it to them so thats what we offer. Our workplaces are energetic inspirational supportive. To get a taste of the advantages youll enjoy take a look at all our perks in full here.
Intrigued Our Talent team can tell you everything you need to know about what we want and what were offering so feel free to get in touch.
Required Experience:
Senior IC
Employment Type
Full-Time
