Job Title: AI/ML and Data Engineer
Hours: Full time (40-hours per week)
Location: Colchester (x3 days in the office)
Reports to: VP Delivery
We are looking for an experienced AI/ML and Data Engineer with deep expertise in Oracle technologies to join our team. In this role, you will design and implement scalable data pipelines, operationalize machine learning models, and support advanced analytics solutions using Oracle databases and cloud platforms.
You will collaborate closely with data scientists, analysts, and IT teams to deliver high-performance, AI-driven systems that are deeply integrated into our Oracle-based infrastructure.

REQUIRED EXPERIENCE:

• Strong hands-on experience with Oracle Cloud Infrastructure (OCI), including Data Lakehouses with built in OLTP, OLAP and GenAI real-time analytics such as MySQL HeatWave and Autonomous Database. Must also have knowledge ofOCI Data Integration, OCI Data Science, and Generative AI services.
• Expertise in MLOps pipelines, training, testing, deploying models.
• Proficiency in Python, SQL, and ML frameworks.
• Knowledge of natural language processing (NLP) and intelligent document processing (IDP).
• Experience with SaaS API integration and Oracle Integration Cloud (OIC).
• Background in ETL/ELT, high-performance SQL, and unstructured data management.

Preferred experience:

• Experience with EPC, manufacturing, or industrial sales domains.
• Hands-on work with event-driven architectures on OCI (Streaming, Functions).
• Familiarity with TOGAF/OAA architecture practices.
• OCI and/or MySQL HeatWave certifications.

REQUIRED QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 3+ years of experience in data engineering and/or machine learning, with a strong focus on Oracle technologies.
• Proficiency in Oracle SQL, PL/SQL, and experience with Oracle Database architecture.
• Experience with Oracle Machine Learning tools or integrating external ML models into Oracle systems.
• Solid understanding of data pipeline development, performance tuning, and best practices in Oracle environments.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Cloud Infrastructure (OCI), especially services like OCI Data Science, Data Integration, and AI Services.
• Familiarity with scripting languages such as Python or Shell for automation and ML integration.
• Knowledge of Oracle’s MLOps capabilities and DevOps practices using OCI.
• Exposure to Oracle Data Lakehouse or hybrid cloud data architectures.