Machine Learning Engineer
London, UK
1d ago


Job Title Machine Learning Engineer

About this role

Experienced Machine Learning Engineer will be responsible for owning, defining, implementing and operationalizing data products at scale.

What will you be doing?

  • Work on data science use cases end-to-end from data discovery to operationalizing
  • Help build best-in-class development architecture, standards, best practices for Machine learning
  • Understand the business domain, define the scope, prepare and draft success criteria, failure criterion and initial hypothesis for the use case
  • Conceptualize and quickly build POC on new product ideas - should perform well as an individual contributor and work with other data scientists and data engineers
  • Experiment & identify best methods techniques, algorithms for analytical problems
  • Operationalize Work closely with the engineering, infrastructure, service management and business teams to operationalize use cases.
  • Ensure end-to-end automation including quality checks on models running in production

  • Should present good problem solving abilities and critical thinking
  • What we’re looking for :

    The ideal candidate should be able to look at problems from different dimensions and use judgement based on past experiences, market research, industry specific solutions to choose the right approach for building data products.

    Skills that will help you in the role :

  • Experience in building and operationalizing various machine and deep learning models
  • Understand business context, study related data sources, build descriptive statistics and develop machine / deep learning models.
  • Evaluation and finalization of right analytical models suitable to the use case is key success metric

  • Experience working with large data sets in order to extract business insights or build predictive models
  • Broad knowledge of applied mathematics (probability or statistics, linear algebra)
  • Proficiency in Python and related packages like Pandas, SciPy / Scikit-learn, NumPy etc.
  • Experience and understanding of Big Data ecosystem with technologies like Spark / PySpark, MapReduce, Kafka, Hive etc. Experience in UNIX scripting and NoSQL would be an added advantage
  • Hands-on experience running in deep learning models (e.g. autoencoders, CNN, LSTMs)
  • Hands of experience and knowledge around feature engineering, dimension reduction and model optimization using gradient decent, PCA etc.
  • Where will you be working?

    Located in the heart of Canary Wharf in our fantastic open-plan office space with strong transport links across the city, restaurants, coffee shops, dry cleaners and a gym.

    Interested and want to know more about Barclays?

    Interested and want to know more about Barclays? Visit for more details.

    Our Values

    Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues.

    Simply put, success is not just about what you achieve, but about how you achieve it.

    Our Diversity

    We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.

    Our Benefits

    Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances.

    These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be.

    We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.

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