Position: ML Devops / Devops Engineer – 6 Month Contract
Employment Type: Contract
Who We Are:
Delta Capita is a global financial services consulting term and part of the Prytek holdings group. Delta Capita has been recognised by the Financial Times as one of the top 1000 fastest growing businesses in Europe in 2020. It is our mission to help financial services organisations reduce costs by moving them away from their existing proprietary business operating models and toward a supply chain model. Targeting the provision of infrastructure, technology, people and consulting services across the entire financial services value chain. Technology is at the heart of our solutions and as the financial serviced arm of Prytek, we leverage their substantial FinTech portfolio allowing us to create new services as of Europe’s leading FinTech accelerators. Our multi services model allows clients to access standardised business services and benefit from a mutualised operating model. We have been on an incredible journey since the business launched in 2012, and the last 18 months which has seen us increase out headcount and revenues by 100%. In seven locations, with over 200 staff we are seeking the next talented staff to come on the journey with us.
Delta Capita offers the following services:
Across these global business lines:
It is easy to describe what we do and how we do it, but the more important question is ‘why?’. We are committed to creating “a great place to work”, as a people business-it is essential that we invest and nurture our key product people. We need great people to contribute to the evolution of our business and the continuation of our company culture. At Delta Capita we have created an open, transparent environment, it is essential in realising change. It is why we work so hard to maintain a flat and open organisational structure, having experienced the negative effects of grandfathering in other environments. We have seen that diverse teams innovate, perform and function better than their counterparts, more likely to bring new ideas and strategies that make a commercial difference.
The cornerstone our approach to Consulting is a desire to innovate and do things differently. We want to work with people who share our entrepreneurial mindset and to give them the tools and environment to realise their ideas. That’s why we host regular internal roundtable events, informal meetups and are committed to providing an open forum for ideas.
From the little things like free breakfast every morning and the monthly social events through to our commitment to providing best in class training and opportunities to work globally, we are always looking at ways to improve the employee experience. We know that consulting is a people business and we are dedicated to ensuring that the DC FAMILY are rewarded socially, intellectually, and financially when working with us.
We are looking for a self-directed MLOps Engineer with strong Python coding skills to join our growing team. The hire will be responsible for designing, implementing, and deploying enterprise-wide cloud infrastructure to drive business values. The MLOps Engineer will support the DevOps, Data scientist and Business stakeholders on data initiatives and will ensure optimal data delivery and machine learning serving architecture is consistent throughout ongoing projects.
= Oversee all aspects of the project's cloud infrastructure
= Setup cloud alerts, monitors, dashboards, logging, etc.
= Productionise Proof-of-Concept (PoC) and Proof-of-Value (PoV) ML models
= Automate ML models deployments
= Manage, monitor, troubleshoot machine learning infrastructure
= Setup continuous integration pipelines of multiple applications
= Integrate with existing on-prem Spark Hadoop infrastructure, including migrating to GCP Dataproc
= Lead a small team in agile ML and software development
Essential Skills & Experience
= 5+ years of industry experience
= 2+ years of experience with Google Cloud Platform (GCP) including with Docker containers and Kubernetes
= Experience with deep learning frameworks specifically TensorFlow
= Experience building auto-scaling end-to-end ML systems
= Experience with database systems including BigQuery, Postgres, MongoDB
= Strong programming skills in Python
= Test driven development
= Very good knowledge of Linux system
= Knowledge of RESTful web services
= Post graduate qualifications (quantitative MSc / PhD) in Statistics, Applied Mathematics, Econometrics, Physics, Engineering or any other relevant quantitative discipline
= Programming skills in Scala and Java