Machine Learning Engineer

Job Title: ML Engineer

Location: York/Hybrid (3 days per week onsite)

Department: Digital Decisioning

Salary: Up to £77,000 + Excellent Benefits

Type: 18 month FTC

About the Role

WRK digital is proud to partner exclusively with a well-known, high-profile organisation on a transformative data journey. We are seeking a talented ML Engineer to play a pivotal role in a major data transformation initiative. This is an exceptional opportunity to join a forward-thinking company as they build an intelligent data platform in close collaboration with AWS engineers.

This role will require the software and dev ops capabilities of an ML Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities.

Role Summary:

Working across projects within the business and the wider industry through the organisation's parent company, you will have responsibility for:

• Designing and implementing automation pipelines to operationalise the ML platform and ML pipelines for CI/CD Pipelines
• Responsibility for mapping out data feeds into / out from the ML platform in collaboration with Solutions Architects and the IT Team
• Ensuring that the ML systems are developed and scaled reliably in line with the best practices for ML Ops and software engineering, ethics, and system security
• Creation of Data Engineering pipelines utilising Infrastructure as code (IAC) to ensure projects ingest data in an automated way that is quality checked and fit for purpose for machine learning modelling.

Knowledge and Skills:

Essentials

• Proficient in Unix environment and scripting in Bash and Python.
• Strong experience with AWS infrastructure with proficiency in the services such as: S3, EC2, Lambda functions, Cloud Formation, Athena, Dynamo DB, Code Commit, SageMaker, etc.
• Strong experience with containerisation using Docker and containers management.
• Strong software engineering skillset including code review: a good understanding of coding best practices and experience with code and data versioning (using Git/CodeCommit), code quality and optimisation, error handling, logging, monitoring, validation and alerting.
• Fluent in writing well tested, readable code that is capable of processing large volumes of data and large amount of data processing and ML jobs, including the use of IAC to build data pipelines
• Expert knowledge of Python.
• An excellent knowledge of basic machine learning libraries, such as NumPy, SciPy, Pandas, Dask, PyTorch, Tensorflow, etc.
• A proven track record of linking data from multiple systems for scalable productionised solutions with security and monitoring best practices.
• Experienced with Cloud Security best practices.
• Hands-on experience with DevOps lifecycle, tools and frameworks.

Desirables

• Knowledge of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference.
• AWS Certification is a strong benefit.
• Experience with Google Cloud’s Big Data tools.
• Proficient with Kafka is plus but not essential.

If you’re a data visionary with the technical expertise and leadership qualities to shape the future of data in a fast-moving business, we’d love to hear from you.

This role can be based anywhere in the UK with travel to York 3 times per week.

Apply now to be part of a data-driven journey that’s just getting started.