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?
Ensure end-to-end automation including quality checks on models running in production
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 :
Evaluation and finalization of right analytical models suitable to the use case is key success metric
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.
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.
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 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.