Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead (Hemel Hempstead, United Kingdom)

Senior Data Platform & MLOps Engineer – EMEA: A Deep Dive for Aspiring Candidates

Boston Scientific is embarking on a significant transformation of its global data and digital infrastructure, presenting a compelling opportunity for experienced professionals to shape the future of data and AI across the EMEA region. This Senior Data Platform & MLOps Engineer role is not just a job; it's a chance to be at the forefront of innovation within the vital health industry.

What Makes This Opportunity Stand Out?

This position offers a unique blend of technical challenge and strategic impact. You'll be instrumental in building the "next generation of data and AI capabilities," which translates to a role with substantial influence and visibility. Key advantages for candidates include:

• Architectural Influence: As part of a "greenfield transformation," you'll have significant scope to influence architecture, establish standards, and design cutting-edge solutions. This is an ideal scenario for engineers who thrive on building from the ground up and leaving their mark.
• Meaningful Impact: Your work will directly contribute to accelerating AI-driven insights and automation, ultimately improving decision-making, supporting clinicians, and enhancing patient outcomes. The intrinsic motivation of contributing to better healthcare is a powerful draw.
• Collaborative & Global Environment: You'll join a "global community of engineers and architects" who actively share practices and collaborate across regions. This fosters a rich learning environment and exposure to diverse perspectives.
• Career Growth and Skill Development: Boston Scientific emphasizes "advancing your skills and career," offering access to the "latest tools, information and training." The company supports employee progression, making it a strong choice for ambitious professionals.
• Hybrid Work Model: The role offers hybrid flexibility in key European locations: Paris, Milan, Düsseldorf, Hemel Hempstead, or Madrid, allowing for a balance between professional engagement and personal life.

Key Considerations for Your Career Path:

While the opportunity is exciting, candidates should carefully consider the following aspects to ensure alignment with their career aspirations:

• Depth of Technical Expertise Required: This is a senior role demanding "deep engineering craft" and substantial experience (5-8+ years) in data, platform, or MLOps engineering. A strong foundation in cloud technologies (AWS is a must-have, Azure a plus), Python, SQL, distributed processing frameworks, infrastructure-as-code, and CI/CD is essential.
• MLOps Lifecycle Mastery: The role heavily emphasizes MLOps, requiring demonstrated ability to design, implement, and maintain end-to-end pipelines covering the entire machine learning lifecycle. Familiarity with specific tools like SageMaker, MLflow, Kubeflow, or Vertex AI is crucial.
• Balancing Speed and Governance: The description highlights the need to "balance speed with governance in a complex environment." Candidates should be comfortable navigating regulatory requirements (like GDPR) and data residency, while still driving innovation. Experience in regulated industries is a bonus.
• Problem-Solving and Adaptability: The role involves tackling "complex engineering challenges" and adapting to a "fast-moving environment." A proactive, curious approach to problem-solving and a continuous desire to learn and improve are key attributes.
• Cross-Functional Collaboration: Success in this role hinges on effective partnerships with diverse teams, including data engineers, AI engineers, data scientists, product managers, architects, and governance teams. Strong communication and interpersonal skills are paramount.
• Understanding of Modern Data Architectures: While not all are "must-haves," familiarity with modern data lakehouse architectures, data mesh concepts, and event streaming platforms will be highly beneficial for thriving and growing in this role.

Boston Scientific's commitment to "Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance" sets the stage for a dynamic and rewarding career. This Senior Data Platform & MLOps Engineer position is a prime opportunity for individuals looking to make a significant impact, grow their technical expertise, and contribute to a mission-driven organization.