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Senior Machine Learning Engineer

Overview: Europe, Software Engineering, Full time, Hybrid, Intermediate Level, 50-70K Euros Annually

GWI – career partner of PLG Disrupt Summit 2021 – is looking for Senior Machine Learning Engineers to join their engineering team. Not just any Senior Machine Learning Engineer though. Someone ambitious and genuine, who works best in the midst of a collaborative and forward-thinking team. That’s because as a GWIer you’ll be immersed in the fast-moving world of data tech. We think big to make an impact, we zero in on what matters, we’re not afraid to be real and we always show respect. Those values are what got us where we are today, and they’re a big part of what we’re looking for in you.

About the job

Our Data Science department at GWI is committed to helping our customers arrive at the insights they need to understand their audience. From intelligent product features to custom analytical solutions, we are supporting the business at every level as data is at the very core of what we do. We are actively engaged throughout the entire data life cycle including data cleaning, data processing, designing and automating data workflows, and investigating new trends and unexpected findings. Our team values learning and keeping abreast of the latest research very highly and as a result we’re applying a wide range of techniques across machine learning, deep learning, probabilistic graphical models and natural language processing to the services and features we build. We are a diverse team with different backgrounds spread across two locations, Athens and London, and growing rapidly.

At GWI we are building the next generation of our platform whose vision is to provide a highly personalized, intelligent and immersive experience for our customers. We also run the largest globally harmonised market research data set across nearly fifty countries and counting, as well as an increasing range of specialised data sets. We are pioneering new ways to help customers derive more value from our data and support integrations with their own data. To drive these initiatives and deliver state of the art solutions, we’re looking for enthusiastic and passionate senior machine learning engineers. The role will involve a healthy mix of research, model training, coding and deployment, as well as communicating findings to various stakeholders both internal and external. The role will report to a data science director.

Key Responsibilities

  • Research and prototype innovative solutions to solve important business problems that help drive value for our customers
  • Design and run reproducible experiments on data to test a hypothesis, and present the results to key stakeholders within the company and without
  • Code, deploy and monitor machine learning models in collaboration with engineering teams
  • Adhere to machine learning best practices and help us drive the bar higher with every project
  • Explain and interpret the findings of an analysis or performance of a model to both technical and non-technical audiences.

About you

  • First things first, as a disruptor in the global market research industry, we haven’t come this far without entrepreneurial spirit and a get-up-and-go attitude. So if you think we’ll see that in you, then you’re already halfway there. Here’s the rest of what we’d like you to bring to the table.

The essentials

  • Master’s degree or above in computer science, engineering, statistics or in a related numerate field
  • A strong background in machine learning and applying it to real world problems
  • At least three years of expertise in training and supporting machine learning models in production
  • Excellent Python skills, especially in the data analysis ecosystem (numpy, pandas, jupyter, etc…)
  • Excellent communication and presentation skills
  • A passion for data quality, good documentation and attention to detail
  • A growth mindset and a team mentality

Nice to have

  • Experience with cloud services (GCP / AWS / Azure)
  • Experience with deep learning frameworks
  • Experience with large-scale data processing frameworks (Spark, Hadoop)
  • Experience in recommender systems
  • Experience with market research, especially data fusions

About the Benefits

Great benefits make a big difference. Not just to employees, but to the whole vibe of a business. That’s why when you work for us, you’ll enjoy a full spectrum of generous perks and rewards.

  • Competitive salary and performance-based bonus
  • Generous training budget, including a fully paid international conference each year
  • 25 days holiday and Christmas office closure days on top
  • Flexitime and a great work-life balance
  • Private health insurance plan
  • Mobile phone contract
  • 3.30pm finish on Fridays during summer and 4.30pm finish the rest of the year
  • A well-stocked fridge and plenty of snacks (some healthy, some not so healthy)
  • Commit a working day to charity each year
  • Social activities and team outings

About Us

GlobalWebIndex was founded with the knowledge that understanding your audience is really important for business. When you know who you’re speaking to and why, you can create content and campaigns that stand out to the people that matter.

Through our global online survey, we gather data on the behavior and perceptions of consumers across the world. This provides businesses with deep, actionable insights on their audience, revealed from data they trust.

It’s been going well, too. Since launching in 2009, we’ve become one of the UK’s fastest growing target audience companies, consistently renewing over 98% of our client base and doubling in size and revenue year-on-year. Our survey now represents more than 2 billion connected consumers, creating over 40,000 data points for clients including Twitter, Google, Spotify, WPP and Omnicom Group.

We’re not about to stop growing any time soon. As a business, we’re on a mission to re-engineer data-driven marketing, and we’re on the lookout for talented people to join us.

About diversity and inclusion

Imagine if our data came from just one kind of person. We’d get a very nuanced view of the world. And we definitely wouldn’t have got off the ground as a business. We’re so lucky to live in a society where differences are celebrated – so we’d expect nothing else from our teams. In fact, the GWI office is as diverse as our global data, and it’s really important to us that it stays that way. That means whatever your race, religion, sexual orientation or gender, this is a place to feel at home, express yourself freely and make your mark.

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