Golang Job: Senior ML Engineer

Job added on

Company

Barclays

Location

London, England - United Kingdom

Job type

Full-Time

Golang Job Details

Senior Machine Learning (ML) Engineer
London

As a Barclays Senior Machine Leaning (ML) Engineer, you will build best-in-class modern ML platforms, develop ML and data engineering expertise and share it across the organisation, participate in engineering working groups, and create intellectual capital by building in-house modern data micro-services and advanced machine learning and data platform capabilities. The role will require collaboration with architects and engineers of all levels in multiple teams across the bank, as well as security and infrastructure teams.

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted

Working Flexibly

We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognizes and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to business needs.

We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. We’re flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances. Please discuss the detail of the working pattern options for the role with the hiring manager.

What will you be doing?
• Designing and building in-house software, architecture and tooling for our ML and big data platforms
  • Building prototypes and performing demos of latest emerging data technologies and popular Github projects
  • Testing, and taking care of observability and operability patterns across our data systems
  • You will be hands-on within engineering with high priority to data, analytics, and ML projects in different areas of the business
  • Ensuring that all activities and duties are carried out in full compliance with regulatory requirements
  • Managing external stakeholders and control functions where required

What we’re looking for:
• Solid Python skills and working experience with the ML/ data ecosystem (numpy, Pandas, Pyspark, Jupyter, Pyarrow, etc)
  • ML Pipelines, Docker, and Continuous Delivery knowledge
  • Knowledge of AWS and general Infrastructure-as-Code tools such as Terraform, Chef/ Ansible
  • Expertise in at least one main Machine Learning framework (e.g. Tensorflow, Pytorch)


Skills that will help you in the role:
• Good knowledge of Kubernetes
  • Understanding of Golang, Java or Scala
  • Good Understanding Databricks/ Snowflake
  • Knowledge of AWS core services (IAM, EC2, Lambda, networking, security) and AWS data (Athena, Redshift, Glue, Macie, S3, etc)


Where will you be working?
In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links. With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.


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