Job Description

Why BT?
We\'ve always been an organisation with purpose; to use the power of communications to make a better world. You can trace this back to our beginning as pioneers of the world\'s first telecommunications company. At our heart we\'re a technology company with research and innovation in our bones and a desire to be personal, simple, and brilliant for our customers - those are the values we live by whilst also creating an inclusive working environment where people from all backgrounds can succeed.

Our pursuit of progress over the past 180 years has established BT as a strong, successful brand, with huge scale capable of achieving great things. From supporting emergency services, hospitals, banks and keeping economies around the world online, safe and secure, to delivering large scale technology infrastructure like the creation of BT Sport.

Today in this fast changing, always on, digital world our purpose remains true. Yet the market conditions, regulation and competition we face are tougher than ever before. So if you have the drive, optimism and resilience to help propel us forward we\'ll offer unrivalled personal development, a wealth of opportunities to learn, experience new things and pursue new careers. If that\'s you and what you\'re looking for, we\'d love you to be part of our future.

Why this job matters

The Software Engineering Professional supports the execution of the software engineering strategy and roadmap that supports BT\'s commercial strategy through cross functional project and technical delivery and the participation of a team that pursues innovation as well as engineering excellence.

What you\'ll be doing

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.
• Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Verifying data quality, and/or ensuring it via data cleaning.
• Supervising the data acquisition process if more data is needed.
• Defining validation strategies
• Defining the pre-processing or feature engineering to be done on given data.
• Defining data augmentation pipelines.
• Training models and tuning their hyperparameters.
• analysing the errors of the model and designing strategies to overcome them.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.

• Proven experience (4 or more years) as a Machine Learning Engineer or similar role.
• Understanding of data structures, data modelling and software architecture.
• Expertise in visualizing and manipulating big datasets.
• Deep knowledge of math, probability, statistics and algorithms.
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Knowledge in R or Java is a plus.
• Proficiency in TensorFlow or Keras and OpenCV is a plus.
• Excellent communication skills.
• Team player.
• Outstanding analytical and problem-solving skill.
• Familiarity with Linux environment.
• Low to medium familiarity with JIRA, GIT, Nexus, Jenkins etc is a plus.
• Minimum educational qualification: BE/B.Tech or similar degree in relevant field.

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