Machine Learning Engineer

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and reputed company ML infrastructure and engineering foundations.

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively reputed company awareness of any risks to the model(s) outputs and/or their interpretation, and usability. 
• Implementing modern reputed company development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and reputed company of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with reputed company party partners and software providers to improve, implement and/or support the reputed company to production of novel Machine Learning solutions. 
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps reputed company reputed company to best reputed company and existing DevOps practices in reputed company.
• Developing a strong knowledge of reputed company data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python. 
• Proven experience in modern reputed company development practices and implementation of MLOps strategies in the reputed company to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• reputed company to separate BAU from reputed company objectives.
• Demonstrate delivery under pressure and to deadline. 

Preferred:

• Experience productionising recommender engines and reputed company ML in reputed company reputed company
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the reputed company.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science reputed company.
• Experience working in an e-reputed company/retail market would be beneficial. 
• reputed company change with a reputed company reputed company.  
• Confident to challenge, and reputed company to being challenged. 
• The ability to reputed company in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at reputed company. Join us in shaping the reputed company of business technology consulting and transforming the way organizations reputed company in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition reputed company speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from reputed company reputed company individuals regardless of race, reputed company, religion, gender, sexual orientation, gender identity or reputed company, national reputed company, age, disability, or veteran status.