Machine Learning Engineer III

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Machine Learning Engineer III
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locations
The Adelphi, London, GB
time type
Full time
posted on
Posted 23 Days Ago
job requisition id
R-15358
Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others.Job DescriptionLocation:London, GB Condé Nast is a global media company, home to iconic brands including Vogue, GQ, Glamour, AD, Vanity Fair and Wired, among many others. Our award-winning content reaches 84 million consumers in print, 367 million in digital and 379 million across social platforms, and generates more than 1 billion video views each month.
We are headquartered in London and New York, and operate in 31 markets worldwide, including China, France, Germany, India, Italy, Japan, Mexico & Latin America, Spain, Taiwan, the U.K. and the U.S., with local licence partners across the globe. What will you be doing? Participate in model design, optimization, testing, quality assurance, and defect resolution
Design and implement scalable systems to convert large volumes of data into useful model features, reports, and datasets
Deliver and orchestrate machine learning infrastructure within production environments
Collaborate with Engineers and Scientists to architect and implement a shared vision
Participate in the entire software development lifecycle, from concept to release
Provide technical expertise to junior team members Who you are:
Applicants should have a degree (M.S or Ph.D. preferred) in Computer Science or a related discipline or relevant professional experience
Years of software development experience designing scalable systems related to machine learning or more general statistical analysis
Strong software development skills with proficiency in Python or C++
Experience with analytics frameworks such as Pandas, Apache Spark, Dask, or Flink
Experience with machine learning frameworks such as TensorFlow, JAX, PyTorch, Spark MLlib, Keras, or scikit-learn
Experience in cloud-based infrastructures such as AWS or GCP
Exposure to orchestration platforms such as Apache Airflow or Kubeflow
Proven attention to detail, critical thinking, and the ability to work independently within a cross-functional team What benefits do we offer ?
Condé Nast Learning Hub where you’ll find you’ll find all Condé Nast-developed learning courses and trainings, and over 16,000+ courses in seven local languages
25 days holiday and extra days of annual leave life events like moving house or wanting to volunteer with a charity
Hybrid working and core hours
Competitive pension scheme
Bupa Private Healthcare
Season ticket loans
Cycle to work
Employee Assistance programme
Bring your dog to work
A wide variety of wellness benefits including gym discounts
Discounts and Magazine Subscriptions
Employee Resource Groups to provide a platform for employees to identify shared objectives, exchange ideas, and work on community priorities for our global workforce What happens next? If you are interested in this opportunity, please apply below, and we will review your application as soon as possible. You can update your resume or upload a cover letter at any time by accessing your candidate profile. Condé Nast is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status and other legally protected characteristics.
About UsCondé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. Headquartered in New York and London, the company produces award-winning journalism, content and entertainment for every platform today and operates in 32 markets worldwide including China, France, Germany, India, Italy, Japan, Mexico, Spain, the U.K. and U.S., and Taiwan.At Condé Nast we value diversity of background, views and cultures. We celebrate people for their personal qualities, their skills and contributions. And we recognize the power our brands have to influence and shape culture, catalyze action and help make our world a better place for all.For more information, please visit condenast.com and follow @CondeNast and @CondeNastCareer for Twitter and @condenastcareers for Instagram.
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