Data Engineer

Overview

Expleo is a trusted partner for end-to-end, integrated engineering, quality services and management consulting for digital transformation.  We help businesses harness unrelenting technological change to successfully deliver innovations that will help them gain a competitive advantage and improve the everyday lives of people around the globe. 

Responsibilities

• The Model Factory Team is seeking a skilled Data/ML Engineer with strong background in both Machine Learning and Software Engineering.
• You will collaborate closely with Data Scientists and other cross-functional teams to deploy challenging Data Science, Machine Learning and Deep Learning projects into production.
• You will be responsible for all aspects of MLOps including, CI/CD Pipelines, Automations, Evaluation & Monitoring etc. You will also facilitate activities such as knowledge-sharing workshops and hackathons, enabling effective knowledge transfer within the team.

Essential skills

• Programming Languages: Python, C++
• Proficient in DevOps and Software Engineering
• MLOps Tools: Weights & Biases, Azure Machine Learning, MLFlow
• Experience in CI/CD Automations, Containerization, Model Deployment and Model Monitoring Tools, like: Databricks, Docker, Kubernetes, Azure Machine Learning etc.
• Machine Learning and Deep Learning Frameworks: Scikit-learn, TensorFlow, PyTorch, Keras etc.
• Experience in Database systems: Data Lake, Delta Lake, SQL Server etc.
• Data Analysis and Visualization: Pandas, NumPy, Matplotlib, Seaborn, PowerBI etc.
• Experience in Microsoft Azure Cloud Environment & its services such as DevOps, Azure ML etc.
• Experience in Version Control Systems: Azure Repos, Git, etc.

Desired skills

• Accountability: Owns and takes responsibility for the quality and delivery of the assigned tasks
• Communication: Effectively communicates complex technical concepts to a diverse audience including technical, and non-technical stakeholders, both verbally and in writing
• Collaboration: Works effectively as a part of the team, fostering a supportive and knowledge sharing environment
• Project Management: Demonstrates the ability to plan, prioritize, and manage data science work, including creating roadmaps and timelines.
• Problem solving and critical thinking: Identifies challenges and implements innovative and efficient solutions to address them

Experience

• Around 6 years of experience in an MLOps Engineer, Data Engineering or related role
• Ability to work in a hybrid environment with at least one day per week on-site in Derby
• Enthusiasm for conducting knowledge sharing sessions and fostering a collaborative team environment
• Experience in engineering, manufacturing and aerospace industry is highly beneficial
• Experience in developing Data Science and Machine Learning models is a plus
• Experience in other programming languages such a Java, C# is a plus

Benefits

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges  
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects   
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses  
• Competitive company benefits such as medical and dental insurance, pension, life assurance, employee wellbeing programme, sports and social events, birthday hampers and much more!   
• Always working as one team, our people are not afraid to think big and challenge the status quo 
• As a Disability Confident Committed Employer we have committed to:
  • Ensure our recruitment process is inclusive and accessible
  • Communicating and promoting vacancies
  • Offering an interview to disabled people who meet the minimum criteria for the job
  • Anticipating and providing reasonable adjustments as required
  • Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. 

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

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