Senior Data M-L Engineer - Inside IR35 Contract

Join a forward-thinking, dynamic tech company dedicated to leveraging cutting-edge machine learning and data engineering solutions to solve real-world challenges. We pride ourselves on fostering a culture of innovation, collaboration, and growth. As they continue expanding their team, they are looking for a Senior Data Engineer who can help drive the design, development, and deployment of scalable machine learning systems and data pipelines.

Position Overview:
They are seeking an experienced and results-oriented Senior Data M/L Engineer to play a critical role in architecting, building, and maintaining our data infrastructure and machine learning pipelines. In this role, you will work closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to ensure efficient data workflows and implement robust machine learning models in production. Your contributions will have a direct impact on shaping their AI-driven products and services.

Key Responsibilities:

• Data Pipeline Architecture: Design, develop, and optimize scalable, reliable data pipelines and ETL processes to support machine learning and analytics initiatives.
• Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments, ensuring performance, scalability, and reliability.
• Data Infrastructure: Build and maintain large-scale distributed systems, including data lakes, warehouses, and real-time data streaming solutions.
• Machine Learning Workflows: Develop, automate, and manage machine learning workflows, from model training and validation to deployment and monitoring.
• Collaboration: Work closely with data scientists and other engineers to ensure seamless integration between data pipelines and machine learning models.
• Performance Tuning: Continuously improve data processing performance, ensuring data quality, and optimizing resources in the cloud or on-premise environments.
• Mentorship & Leadership: Provide technical mentorship to junior engineers and lead complex projects that drive the organization’s data strategy forward.
• Tech Stack Mastery: Stay current with the latest trends and technologies in machine learning, big data, and distributed computing, and apply them to solve engineering challenges.

Required Qualifications:

• 5+ years of experience in data engineering, machine learning engineering, or a similar field.
• Proven expertise in designing and managing ETL pipelines, data lakes, and data warehouses.
• Strong programming skills in Python and proficiency in SQL.
• Extensive experience with cloud platforms such as AWS, GCP, or Azure.
• Hands-on experience with big data tools such as Apache Spark, Kafka, and Hadoop.
• Knowledge of ML frameworks and libraries such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience deploying and managing machine learning models in production using ML Ops frameworks (e.g., MLflow, Kubeflow, SageMaker).
• Strong understanding of data modeling, data warehousing, and distributed computing concepts.
• Excellent problem-solving skills with a strong emphasis on performance and scalability.
• Ability to work autonomously and lead complex projects end-to-end.

Preferred Qualifications:

• Experience with real-time data processing and streaming architectures.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience in CI/CD pipelines for data and ML workflows.
• Knowledge of DevOps practices for ML and data engineering systems.

What We Offer:

• Competitive contract day rate and potential for long-term collaboration.
• Flexible working environment (Remote/Hybrid options available).
• Opportunity to work on innovative, cutting-edge technologies with a passionate team.
• Professional development opportunities and access to industry-leading tools and resources.

This role is determined as being Inside IR35 with once a month office visits needed.

InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.

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