MLOps Engineer, MLOps Team
We have recently embarked on a transformative journey in the realm of advanced analytics, venturing into untapped territories across consumer engagement, supply chain, merchandising, and manufacturing domains. Our focus is on cultivating in-house expertise in areas such as personalization & recommendation, forecasting models, and trend analysis, aiming to elevate our innovation and customer satisfaction to unprecedented heights.
As an MLOps Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure and platform essential for scaling our machine learning systems efficiently from experimentation to production. Your contribution will be pivotal in enabling and automating data-driven decision-making processes, utilizing cutting-edge techniques and ensuring the seamless integration of machine learning models into our operational workflows.
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Responsibilities:
Design, implement and maintain the ML platform and infrastructure required for ML systems to scale Facilitate an efficient ML route to live from experiment to production. Develop and deploy scalable tools and services to handle machine learning training and inference Identify and evaluate new technologies to improve performance, maintainability, and reliability of ML systems Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Support model development, with an emphasis on auditability, versioning, and data security Communicate with product team and data scientists and machine learning engineers to build requirements and track progress
Qualifications:
Experience building end-to-end systems as a Platform Engineer, DevOps Engineer Strong software engineering skills in complex, multi-language systems Fluency in Python Experience working with Infrastructure as Code, e.g. Terraform Experience working with cloud computing and database systems, such as Databricks Experience building custom integrations between cloud-based systems using APIs Experience developing with containerisation (e.g Docker) and orchestration Kubernetes in cloud computing environments Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) Ability to translate business needs to technical requirements Strong understanding of software testing, benchmarking, and continuous integration Exposure to machine learning methodology and best practices
Preferred but not must have:
Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)
Education & Experience:
2–5 years experience building production-quality software. Bachelors or Masters degree and/or equivalent professional experience
About Pandora
Established in , Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than countries on six continents through more than 6, points of sale, including around 2, concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 32, people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using only recycled silver and gold. The company plans to be carbon neutral by and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in .
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people’s loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.
What can we offer you?
You will be joining the team at our brand-new London Digital Hub, which is located a stone’s throw from London’s iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible – this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you.
Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none.
Our generous benefits package includes:
A highly competitive salary with regular salary reviews Generous bonus scheme Private healthcare Choice of lunch on us, delivered to you whenever you are in the office! Early finish Fridays (weekends with Pandora start every Friday at 3pm!) 55% employee discount 25 days annual leave (plus bank holidays) Buy/sell holiday options Celebrate your birthday with a day off to celebrate! Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you’ll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more Wellness Hub: videos to help you lead a healthy lifestyle Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round Recognition programme: celebrate and share achievements with the wider business At Pandora we love a party! Especially at Christmas, when you will receive an extra special gift
