Senior Machine Learning Operations Engineer

1st Central; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance company in Manchester is searching for a Senior Machine Learning Operations Engineer to enhance their Data Function. In this hybrid role, you will design and implement machine learning model engineering frameworks while collaborating closely with Data Science and Engineering teams. Strong experience with MLOps, Databricks, and Azure is required. The company promotes a flexible working environment and values the continuous development of its employees.

Qualifications

• Proficiency in applying MLOps frameworks within production environments.
• Experience in handling large data pipelines from ingestion to processing.
• Strong understanding of Microsoft Azure services.

Responsibilities

• Design and implement machine learning engineering standards.
• Support model development focusing on auditability and data security.
• Collaborate with cross-functional teams to ensure efficient operation of Data Science models.

Skills

Python

Machine Learning Model Deployment

Databricks

PySpark

Analytical Skills

Organizational Skills

Communication Skills

Education

Experience in MLOps frameworks

Background in Data Engineering

Tools

Azure

CI/CD Pipelines

Job description

Were 1st Central a market-leading 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 our people inside and outside the business who truly power us. Were currently on the hunt for an experienced Senior Machine Learning Operations Engineer to join our Data Function.

Youll play a significant role within our Data & Analytics 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 and Software Development to ensure efficient operation and use of Data Science models. You 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.

This is a flexible hybrid role with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield we also welcome applications from remote UK based workers. We offer excellent flexibility in working patterns and a companywide culture you can be proud to be part of.

If you possess a strong understanding of applying MLOps frameworks in production combined with a data engineering background and experience in Databricks and PySpark we want to hear from you.

Core skills were looking for to succeed in the role:

Data Science & Programming Skills: Fluency in Python and modelling frameworks such as PyTorch and TensorFlow.

ML Ops Expertise: Youll be skilled in deploying and managing Machine Learning Models within a production environment.

Analytical & Problem-Solving: Excellent problem-solving and analytical skills with the ability to diagnose and troubleshoot problems quickly.

Organisational Skills: Strong time management and organisational abilities experience working to tight deadlines.

Communication & Collaboration: Excellent communication skills both verbal and written ability to collaborate effectively with cross-functional teams.

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.

Job-specific competencies

• 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 cloud-based 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 problem-solving and analytic skills

Behaviours

• Embrace embed and incorporate the company values.
• Self-motivated and enthusiastic
• An organised and proactive approach
• 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

Were 1st Central a market-leading 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 our people inside and outside the business who truly power us. Were currently on the hunt for an experienced Senior Machine Learning Operations Engineer to join our Data Function.

Youll play a significant role within our Data & Analytics 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 and Software Development to ensure efficient operation and use of Data Science models. You 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.

This is a flexible hybrid role with occasional visits to our offices in Salford Quays (Manchester) or Haywards Heath (West Sussex) when required. For those based further afield we also welcome applications from remote UK based workers. We offer excellent flexibility in working patterns and a companywide culture you can be proud to be part of.

If you possess a strong understanding of applying MLOps frameworks in production combined with a data engineering background and experience in Databricks and PySpark we want to hear from you.

Core skills were looking for to succeed in the role:

Technical Skills: Comprehensive knowledge of Databricks PySpark Microsoft Azure (Azure ML Azure Stream Analytics Cognitive Services Event Hubs Synapse Data Factory).

Data Science & Programming Skills: Fluency in Python and modelling frameworks such as PyTorch and TensorFlow.

ML Ops Expertise: Youll be skilled in deploying and managing Machine Learning Models within a production environment.

Analytical & Problem-Solving: Excellent problem-solving and analytical skills with the ability to diagnose and troubleshoot problems quickly.

Organisational Skills: Strong time management and organisational abilities experience working to tight deadlines.

Communication & Collaboration: Excellent communication skills both verbal and written ability to collaborate effectively with cross-functional teams.

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.

Job-specific competencies

• 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 cloud-based 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 problem-solving and analytic skills

Behaviours

• Embrace embed and incorporate the company values.
• Self-motivated 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

Key Skills
Change Management,Software Deployment,Cloud Infrastructure,High Availability,IaaS,Firewall,Linux,Middleware,Jboss,Network Architecture,Scripting,Technical Support
Employment Type : Full-Time
Experience: years
Vacancy: 1

Create a job alert for this search

Machine Learning Engineer • Manchester, England, UK