About the job

Machine Learning Engineer

BIP is the international consultancy for the 21st century with over 5,000 consultants globally daring to make a difference.

Operating at the intersection of business and technology, we design, develop, and deliver sustainable solutions at pace and scale, creating greater value for customers, employees, shareholders and society.

As a Certified B Corporation, we believe in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment.

BIP. Here To Dare.

Start Date: ASAP

Duration: 3 months +

Rate: Day rate,dependant on experience

Contract Type: IR35 TBC

About The Role

As a support member of the Data Science team, you will use ML engineering skills and data science techniques to optimize customer journeys and drive decision-making across OTT services to maximize customer experience by running processes efficiently.

Currently the team has developed MLOps framework core functionalities, infrastructure, and components using Vertex AI.

The job will consist of supporting:

- The migration of existing pipelines to the new framework.

- Building new and updating existing components according to requirements.

- Developing a testing framework.

- Kicking off work to create a centralized model feature repository functionality.

Requirements

BIP are a disability confident employer, and we interview every disabled applicant (As defined in the Equality Act 2010) that meets the minimum criteria for the job:

2 + Years experience in a similar role

Other Skills and Experience

Experience in the following areas:

Cloud Computing: Proficiency with GCP, specifically Vertex AI.
Pipeline Development: Experience in designing and maintaining data and ML pipelines. Familiarity with tools like Apache Airflow or Kubeflow.
Infrastructure Management: Understanding of IaC tools like Terraform or CloudFormation. Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
CI/CD: Proficiency in setting up and managing CI/CD pipelines for ML projects. Knowledge of tools like Jenkins, GitLab CI, or CircleCI.
Version Control: Strong skills in using Git for version control and collaborative development.
Testing and Monitoring: Ability to develop comprehensive testing frameworks for ML models and data pipelines. Experience in monitoring models in production for performance and drift.
Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with libraries like TensorFlow, PyTorch, Scikit-Learn. Experience with SQL and BigQuery. Experience in deploying models into production environments.
Programming: Proficiency in programming languages like Python.

Real world, real work, and real value, that’s the BIP commitment on every transformation we do. We deliver good-sense, human-centred strategies, that produce the results. We understand the possibilities can seem endless. Challenges are complex, technology ever evolving, and business goals pressurised and diverse.

BIP believes in conducting business for the greater good. We embrace all aspects of corporate social responsibility in a way that permeates everything we do, including not only the way we interact with our own people but with our various communities as well as the environment.

BIP UK jobs

Machine Learning Engineer