Machine Learning Engineer
Machine Learning 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
Job Description
As part of the MLOps team youll work closely with data scientists software engineers and other stakeholders to bring machine learning models to lifeensuring theyre deployed maintained and monitored efficiently in production. Youll have the opportunity to improve model performance and infrastructure all while contributing to Trustpilots AIbased solutions.
What youll be doing:
- Model Deployment: Collaborate with data scientists to take machine learning models from development to production ensuring quality work and scalability.
- Build Pipelines: Develop and maintain data and model pipelines integrating seamlessly with our existing systems to support reliable efficient workflows.
- CI/CD for ML: Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.
- Model Monitoring: Help monitor the performance of machine learning models postdeployment ensuring reliability scalability and quality over time.
- Collaboration: Work with crossfunctional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
- Optimize: Continuously improve our infrastructure ensuring we remain at the forefront of AI model production and delivery.
Who you are:
- Solid technical foundation in both machine learning and software engineering.
- Experience deploying machine learning models in production environments.
- Proficiency in Python and relevant ML libraries (e.g. TensorFlow PyTorch scikitlearn).
- Familiarity with cloud platforms like GCP AWS or Azure.
- Experience with CI/CD pipelines for machine learning (e.g. Vertex AI).
- Experience with data processing frameworks and tools particularly Apache Beam/Dataflow is highly desirable.
- Knowledge of monitoring and maintaining models in production.
- Proficiency in employing containerization tools including Docker to streamline the configuration of deployment settings.
- Problemsolving skills with the ability to troubleshoot model and pipeline issues.
- Good communication skills enabling effective collaboration across teams.
Whats in it for you:
- A range of flexible working options to dedicate time to what matters to you
- Competitive compensation package bonus
- 25 days holiday per year increasing to 28 days after 2 years of employment
- Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community
- Rich learning and development opportunities are supported through the Trustpilot Academy LinkedIn Learning and Blinkist
- Pension and life insurance
- Health cash plan online GP 24/7 Employee Assistance Plan
- Full access to Headspace a popular mindfulness app to promote positive mental health
- Paid parental leave
- Season ticket loan and a cycletowork scheme
- Central office location complete with all the snacks and refreshments you can ask for
- Regular opportunities to connect and get to know your fellow Trusties including companywide celebrations and events ERG activities and team socials
- Access to over 4000 deals and discounts on things like travel electronics fashion fitness cinema discounts and more.
Still not sure
We want to be a part of creating a more diverse equitable and inclusive world of work for all. Were excited to hear about your experiences as well as how you will contribute to our working culture. So even if you dont feel you dont meet all the requirements wed still really like to hear from you!
#LISV1
Employment Type
Full Time
