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Senior Quality Engineer jobs at Boston Scientific in France

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39 jobs found
Today
BS

Boston Scientific Senior Data Platform & MLOps Engineer EMEA - Paris France, Ile-de-France

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Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata. Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows. Monitor platform...
Description:

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead


Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

  • Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
  • Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
  • Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
  • Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
  • Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
  • Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
  • Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
  • Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

  • Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
  • Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
  • Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).
  • Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
  • Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
  • Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
  • Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.
  • Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

  • Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
  • End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
  • Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
  • Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
  • Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

  • Experience in MedTech, Pharma, Consulting, or other regulated industries.
  • Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
  • Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

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Today
BS

Boston Scientific Sr Data Engineer Coyol France, Nouvelle-Aquitaine

Limitless High-tech career opportunities - Expoint
Lead projects developing high-performance solutions (including bots, automated spreadsheets, RPA (Robotic Process Automation), dashboards, data extractions, artificial intelligence, etc. Create high-quality code that satisfies needs and strives for simplicity, clarity,...
Description:

Costa Rica-Coyol

Hybrid Roles:

Your Responsibilities

  • Lead projects developing high-performance solutions (including bots, automated spreadsheets, RPA (Robotic Process Automation), dashboards, data extractions, artificial intelligence, etc. Create high-quality code that satisfies needs and strives for simplicity, clarity, and testability.
  • Assist in maintaining and evolving documentation, toolkits, and knowledge resources to support consistency and knowledge sharing across improvement efforts.
  • Properly capture value of high-performance solutions, making delivered improvements transparent.
  • Identify and recommend ways to drive more value out of the company's technology assets, maximizing reuse and avoiding redundancy. Participate in discovery sessions with business stakeholders – identifying process requirements, the solutions that can be leveraged, resources required, etc.
  • Understand architectural, design, implementation, and security standards and best practices. Engage in and align practices with the company’s digital transformation strategy.
  • Work closely with management to educate and to articulate the requirements necessary to promote overall digital goals.

What we are looking for

  • Bachelor’s Degree or higher in engineering or data science
  • 4+ years experience related to data analytics and reporting
  • Knowledge in Microsoft Power Platform (Power BI, Power Automate, Power Apps)
  • English level Desire 80% or above
  • Please submit Resume in English

Preferred Qualifications:

  • Experience in a regulated industry environment
  • Working knowledge of SAP/S4Hana and Snowflake
  • Proven track record of implementing strategic business initiatives in matrixed teams
  • Outstanding interpersonal skills for developing relationships and driving continuous improvement

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Yesterday
BS

Boston Scientific Senior Process Engineer - Mechanical Design Automation France, Nouvelle-Aquitaine

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Additional Duties:. Oversees development builds associated with the project using special work requests. Writes and reviews validation protocols and reports applicable to new processes. Plans, organizes, and conducts all aspects...
Description:

Costa Rica-Coyol

Hybrid Roles:

About the role:

Works cross-functionally to lead process development of complex technologies on new products and ensures efficient and effective transfer of new product into production.

Mechanical Design (Mechatronics-Oriented):

•using(e.g.,).
• Apply knowledge ofto design robust, cost-effective equipment.
• Work with,, andto validate designs.
•() into automated process equipment.
• Ensureduring the design phase ().
• Collaborate with vendors and fabrication shops forprototyping and commissioning.
•using(e.g.,).
• Apply knowledge ofto design robust, cost-effective equipment.
• Work with,, andto validate designs.
•() into automated process equipment.
• Ensureduring the design phase ().
• Collaborate with vendors and fabrication shops for.

Process Control & Automation:

Design, configure, and optimize automated process control systemsusing,, andSCADA.
Develop and maintain, and(e.g.,Modbus, EtherNet/IP, CANopen).
Apply(e.g.,) forprocess optimization, stability, and performance monitoring.
Interface control systems with, andindustrial robotics.
Implementfor,, and.

Process Engineering & Continuous Improvement:

• Leadandreviews.
• Evaluate and improve, and.
• Implement,, andpractices.
• Conductand.
• Supportthrough early involvement in design phases.
• Assess, prioritize, andon platform or derivative projects.
• Apply technical knowledge to.
• Execute theassociated with the,, and.
• Ensureis completed to meet(e.g.,).
•.

May supervise Technicians and Engineersto achieve project goals.

  • Additional Duties:
  • Oversees development builds associated with the project using special work requests.
  • Writes and reviews validation protocols and reports applicable to new processes.
  • Plans, organizes, and conducts all aspects of technical reviews.
  • Provides Design for Manufacturability (DFM) input to the engineering print package.
  • Contributes ideas to or generates Intellectual Property submissions.
  • Trains and/or provides work direction to technicians and engineers and may train manufacturing personnel when required as part of a validation.
  • May serve as a core team member or extended team member on new product projects.

Minimum Requirements

  • Bachelor’s or Master’s Degree in Mechatronics Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
  • 7+ years of experience in process engineering, mechanical design, and control system integration in a manufacturing or industrial automation setting.
  • Proven experience in:
  1. 3D mechanical CAD tools (e.g., SolidWorks, PTC Creo, AutoCAD)
  2. PLC/HMI development (e.g., Siemens TIA Portal, Allen-Bradley RSLogix/Studio 5000)
  3. Motion control systems (e.g., servo drives, stepper motors, pneumatics)
  4. Control systems programming, electrical panel layout, and troubleshooting.
  5. Strong understanding of mechatronic system integration—including mechanical, electrical, and software interfaces.
  6. Familiar with robotics, machine vision, and industrial communication protocols.
  7. Experience with process documentation (P&IDs, control narratives, wiring diagrams).
  8. Ability to lead cross-functional teams and drive projects from concept to production.

Preferred Qualifications:

  • Experience with MATLAB/Simulink or other modeling/simulation tools.
  • Familiarity with NI LabVIEW, Python, or C/C++ for custom test or automation tools.
  • Experience in regulated industries (medical device, automotive, aerospace, or semiconductor).
  • Professional Engineer (PE) license or relevant certifications (e.g., Six Sigma Black Belt).
  • Knowledge of Industry 4.0, IoT-enabled manufacturing, and digital twin technologies.

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Yesterday
BS

Boston Scientific Senior Product Manager Vascular Preparation Technologies - E... France, Ile-de-France, Paris

Limitless High-tech career opportunities - Expoint
Performs general administrative duties that may include coordinating meetings/calendar management, arranging travel, and ordering/maintaining supplies. Prepares expense reports for selling managers and directors. Schedules appointments and makes travel arrangements. Plans...
Description:


Primary focus is providing administrative support for multiple managers and/or directors in selling organization in order to relieve them of administrative details. Works under general supervision and receives detailed instructions only for new assignments.

Your Responsibilities will include:

  • Performs general administrative duties that may include coordinating meetings/calendar management, arranging travel, and ordering/maintaining supplies.
  • Prepares expense reports for selling managers and directors.
  • Schedules appointments and makes travel arrangements.
  • Plans and coordinates meetings and events by coordinating calendars, scheduling catering, ordering audio-visual equipment and working with facilities to ensure room configurations.
  • Assists in the preparation of reports, graphs, and presentations using Microsoft Office tools.
  • Creates purchase orders in Ariba/MyBuy and manages a small number of invoices.
  • Onboards new employees, maintains vacation records, and assist sales team with administrative tasks.
  • Acts as an informed source of company policies and procedures by answering routine questions or routing to appropriate employees for answers.
  • Conducts all aspects of the job with appropriate level of confidentiality and sensitivity to employee and organizational data by storing documents carefully and not disclosing confidential information except on a need-to-know basis.
  • Willingness to be flexible, assume additional responsibilities, and coordinate activities with co-workers
  • Ad hoc projects as required.

Required Qualifications

  • 1 year of experience with Associate’s or Bachelor’s degree preferred.
  • Proven experience working in a fast-paced organization.
  • Strong communication skills (verbal and written) and interpersonal skills with ability to work across multiple levels of an organization.
  • Strong proficiency in MS Outlook, SharePoint, Word, Excel & PowerPoint.
  • Strong sense of responsibility and urgency as well as attention to detail.
  • Strong customer-service orientation and professional demeanor.
  • Highest ethical standards. Discretion and sound judgment when dealing with confidential and/or sensitive information.

Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).

Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).


For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

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Yesterday
BS

Boston Scientific Senior Industrial Engineer France, Nouvelle-Aquitaine

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Maintaining advanced clinical knowledgeof EP diagnostic and ablation technologies, PFA, mapping and recording systems, transeptal access tools, and left atrial appendage occlusion technologies. to provide clinical support on Boston Scientific...
Description:

About the role:

Our technologies encompass 3D Mapping and Navigation systems, Radiofrequency Ablation catheters, Diagnostic Catheters, EP recording systems, and Intracardiac Access Sheaths to diagnose and treat heart rhythm disorders.

In this field-based role, the Electrophysiology Mapping Specialist will begin with an intensive training and development program to gain in-depth knowledge of our technologies and prepare for success. Upon completion, the specialist will provide expert clinical, technical, and educational support to physicians, EP Lab staff, and sales representatives during cardiac procedures using the

Your responsibilities will include:

  • Maintaining advanced clinical knowledgeof EP diagnostic and ablation technologies, PFA, mapping and recording systems, transeptal access tools, and left atrial appendage occlusion technologies.

  • to provide clinical support on Boston Scientific AF Solutions products, including the,, transeptal access tools, diagnostic and therapeutic catheters, and

  • on clinical usage and benefits of AF Solutions products through customized presentations, demonstrations, and ongoing training

  • Meeting with physicians and clinical stakeholders

  • Developing relationshipswith hospital staff, physicians, and administrators to expand influence across departments and facilitate strategic decision-making

  • Responding to clinical and technical inquiries

  • Demonstrating change leadership

  • Implementing strategies outlined in quarterly action plans

  • Supporting physician education and market developmentby engaging referring physicians, fellows, and key opinion leaders

  • Training on and adhering to clinical trial protocols and compliance standardsin line with global regulatory expectations

  • Managing clinical trial activity within the territory, including Interest Visits and Site Initiation Visits, and educating investigators on study procedures and products

Required qualifications:

  • Minimum of a bachelor’s degree or equivalent experience

  • Minimum of 2 years of industry experience in medical device sales, clinical electrophysiology, or equivalent background

  • Demonstrated technical aptitude with the ability to convey complex product details clearly

Preferred qualifications:

  • NASPE/IBHRE CEPS certification

  • Degree in Biomedical or Mechanical Engineering

  • Experience in atrial fibrillation, cardiac mapping, or structural heart procedures

  • Familiarity with 3D cardiac mapping systems

  • Master’s degree or advanced degree in business or healthcare

The anticipated annualized base amount or range for this full time position will be, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.


For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.

Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.

Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.

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Yesterday
BS

Boston Scientific Finance Process Improvement Expert / Engineer France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Identify, design, and implement process improvements across FP&A, Accounting, and Controlling using Lean , Six Sigma , or other process improvement methods. Lead face-to-face workshopsto engage teams and co-create sustainable...
Description:

France-Voisins le Bretonneux; Belgium-Diegem; France-Corse; France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Poland-Warsaw; Spain-Madrid; United Kingdom-Hemel Hempstead

About the Role

We’re looking for aFinance Process Improvement Expert / Process Engineerwho will be a partner across Finance subfunctions and other support functions to optimize, automate, and standardize key finance processes. You’ll combine process engineering principles with financial process understanding to drive innovation, capacity, and simplification.

This role reports to.


Key Responsibilities

  • Identify, design, and implement process improvements across FP&A, Accounting, and Controlling using Lean , Six Sigma , or other process improvement methods.
  • Lead face-to-face workshopsto engage teams and co-create sustainable process enhancements.
  • Partner with IT and Analytics teams to automate workflows using SAP, EPM, Tableau, Power BI, or RPA.
  • Use process mining and AI-driven tools like Celonis to uncover improvement opportunities.
  • Define KPIs to track progress on projects and ensure measurable impact.
  • Partner with finance functions to develop standard operating procedures (SOPs) and promote consistent, scalable processes.
  • Support change management and foster a culture of continuous improvement within Finance.

Qualifications & Experience

  • Bachelor’s degree in engineering , Industrial Engineering, or related field.
  • Lean Six Sigma certification(Green Belt or higher) preferred.
  • 3–7 years of experience in process engineering , business process improvement
  • Strong skills in process mapping and project management tools and methodologies.
  • Proven experience facilitating process improvement workshops .
  • Familiarity with ERP systems (SAP/Oracle), process visualization tools (Visio), and process mining (Celonis).
  • Excellent analytical, communication, and stakeholder management skills.

Success Metrics

The FIT (Finance Improvement Team) success will be defined by our ability to improve the following metrics:

  • Reduced finance process cycle times and manual effort.
  • Increased automation and process standardization.
  • Improved reporting accuracy.
  • Positive stakeholder feedback and measurable efficiency gains.

Why Join Us?

  • Join us at a pivotal time in our transformation journey and help shape the future of Finance at Boston Scientific. You’ll be part of a high-impact, cross-functional team creating value through innovation, efficiency, and strategic insight.
  • If you’re passionate about continuous improvement, digital transformation, and enabling Finance to become a better business partner — we’d love to hear from you.
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21.11.2025
BS

Boston Scientific Senior Field Clinical Engineer-Electrophysiology France, Ile-de-France

Limitless High-tech career opportunities - Expoint
Manage clinical trial activity within your assigned territory to meet corporate and departmental objectives. Complete site Interest Visits and Site Initiation Visits. Educate clinical investigators on trial protocols, clinical processes,...
Description:

France-Auvergne-Rhône-Alpes; Belgium-Diegem; France-Bourgogne-Franche-Comté; France-Bretagne; France-Centre-Val de Loire; France-Grand Est; France-Hauts-de-France; France-Normandie; France-Nouvelle-Acquitaine; France-Occitanie; France-Pays de la Loire; France-Provence-Alpes-Côte d'Azur; France-Voisins le Bretonneux; France-Île-de-France; Ireland North - Belfast; Ireland North - Derry; Ireland-Clonmel; Ireland-Cork; Ireland-Craigavon; Ireland-Drogheda; Ireland-Dublin; Ireland-Dundalk; Ireland-Galway; Ireland-Kerlogu; Ireland-Kerlogue; Ireland-Limerick; Ireland-Waterford; Norway-Asker; Sweden-Helsingborg; United Kingdom-Aberdeen; United Kingdom-Ashford; United Kingdom-Backburn; United Kingdom-Barnsley; United Kingdom-Barnsley; United Kingdom-Basildon; United Kingdom-Basingstoke; United Kingdom-Bath; United Kingdom-Bedford; United Kingdom-Birkenhead; United Kingdom-Birmingham; United Kingdom-Blackpool; United Kingdom-Bolton; United Kingdom-Bournemouth; United Kingdom-Bradford; United Kingdom-Bradford; United Kingdom-Brighton; United Kingdom-Bristol; United Kingdom-Camberley; United Kingdom-Cambridge; United Kingdom-Canterbury; United Kingdom-Cardiff; United Kingdom-Carlisle; United Kingdom-Chelmsford; United Kingdom-Cheltenham; United Kingdom-Chester; United Kingdom-Colchester; United Kingdom-Coventry; United Kingdom-Crawley; United Kingdom-Darlington; United Kingdom-Derby; United Kingdom-Doncaster; United Kingdom-Dundee; United Kingdom-Eastbourne; United Kingdom-Edinburgh; United Kingdom-Exeter; United Kingdom-Farnham; United Kingdom-Glasgow; United Kingdom-Gloucester; United Kingdom-Guildford; United Kingdom-Harlow; United Kingdom-Hartlepool; United Kingdom-Hastings; United Kingdom-Hemel Hempstead; United Kingdom-Huddersfield; United Kingdom-Hull; United Kingdom-Leeds; United Kingdom-Leicester; United Kingdom-Lincoln; United Kingdom-Liverpool; United Kingdom-Maidstone; United Kingdom-Maidstone; United Kingdom-Manchester; United Kingdom-Middlesbrough; United Kingdom-Milton Keynes; United Kingdom-Newcastle; United Kingdom-Newport; United Kingdom-Northampton; United Kingdom-Norwich; United Kingdom-Nottingham; United Kingdom-Nuneaton; United Kingdom-Oxford; United Kingdom-Peterborough; United Kingdom-Plymouth; United Kingdom-Poole; United Kingdom-Portsmouth; United Kingdom-Preston; United Kingdom-Reading; United Kingdom-Rochdale; United Kingdom-Rotherham; United Kingdom-Sale; United Kingdom-Salford; United Kingdom-Sheffield; United Kingdom-Slough; United Kingdom-Solihull; United Kingdom-Southampton; United Kingdom-Southend-on-Sea; United Kingdom-Stevenage; United Kingdom-Stoke; United Kingdom-Swansea; United Kingdom-Swindon; United Kingdom-Taunton; United Kingdom-Telford; United Kingdom-Warrington; United Kingdom-Watford; United Kingdom-Western-super-Mare; United Kingdom-Woking; United Kingdom-Wolverhampton; United Kingdom-Worchester; United Kingdom-Worthing; United Kingdom-Wrexham; United Kingdom-York

the role:


As a Senior Field Clinical Engineer (FCRE) at Boston Scientific, you will play a vital role in supporting the execution and management of clinical trials and providing commercial support in the field. Your work will directly impact patient outcomes, support the advancement of medical innovation, and help bring life-changing therapies to market. In this role, you’ll serve as the clinical expert at trial sites, educate healthcare professionals, and provide hands-on technical support during procedures in hospital and clinic settings.

Clinical trial responsibilities:

  • Manage clinical trial activity within your assigned territory to meet corporate and departmental objectives
  • Complete site Interest Visits and Site Initiation Visits
  • Educate clinical investigators on trial protocols, clinical processes, and investigational product features
  • Provide technical support for clinical trial procedures including implants and follow-up visits, with direct patient contact
  • Train on and maintain knowledge of clinical trial protocols, SOPs, and global regulatory compliance
  • Manage investigational product inventory throughout the clinical process

Commercial responsibilities:

  • Educate customers on the proper clinical usage and benefits of Boston Scientific’s commercially approved products
  • Deliver presentations and product demonstrations to current and potential customers
  • Develop strong relationships with hospital personnel and key decision-makers
  • Address customer needs and complaints by providing timely, feasible solutions

General responsibilities:

  • Support both commercial and clinical procedures, including patient implants and follow-ups
  • Ensure adherence to guidelines for managing commercial and investigational product inventor

Quality system requirements:

  • Demonstrate a strong commitment to patient safety and product quality by complying with the Quality Policy and all documented quality processes and procedures
  • Support a work environment that fosters quality compliance (for roles involving supervision)

Required qualifications:

  • Minimum of 5 years' experience in electrophysiology (EP), cardiac rhythm management (CRM), or a similar clinical/technical field
  • Demonstrated ability to manage complex field activities and clinical support functions
  • Strong working knowledge of clinical trial protocols and regulatory standards
  • Ability to work independently and collaboratively in a fast-paced environment
  • Willingness and ability to travel extensively and be on-call, including evenings and weekends

Preferred qualifications:

  • Bachelor’s degree in Biomedical Engineering, Life Sciences, or related field
  • Prior experience supporting implantable medical devices in a clinical setting
  • Familiarity with Good Clinical Practices (GCP) and FDA/ISO regulations
  • Excellent communication, presentation, and relationship-building skills
  • Experience working with investigational product inventory and device logistics
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Limitless High-tech career opportunities - Expoint
Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata. Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows. Monitor platform...
Description:

France-Île-de-France; Germany-Düsseldorf; Italy-Milan; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead


Your role in Data & AI

As a Senior Data Platform & MLOps Engineer, you will design, build, and operate the cloud data platforms that powers analytics and AI solutions across EMEA. You will partner closely with data engineers, AI engineers, data scientists, product managers, architects, and governance teams to create secure, reliable, and reusable platform services. This role combines hands-on engineering with cross-functional collaboration and plays a key part in implementing our new global data strategy.

You will work across a wide range of platform components, from data ingestion and orchestration to observability, security, and automation, ensuring that regional requirements such as GDPR and data residency are built into platform design without slowing innovation.

Crucially, you will build and maintain the shared infrastructure that enables AI engineering and data science teams to develop, deploy, and scale machine learning solutions efficiently and responsibly. Your work will accelerate the delivery of AI-driven insights and automation across EMEA, ensuring that advanced analytics and ML capabilities are grounded in a secure, compliant, and scalable data foundation.

What you will do

You will design, build, and operate cloud data platform components, including data lakes, warehouses, streaming systems, orchestration layers, and metadata tooling. Your work will focus on making these services secure, observable, automated, and scalable, enabling analytics, AI, and data science teams to innovate with confidence.

In parallel, you will design, implement, and maintain MLOps pipelines that support the full machine learning lifecycle, from experimentation and model training to deployment, monitoring, and continuous improvement. You will embed model governance, lineage tracking, and performance observability into the platform, ensuring that ML solutions are reliable, compliant, and production-ready. You’ll also collaborate closely with data scientists and AI engineers to streamline model delivery using modern tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.

In this role, you will:

  • Operate and enhance cloud-based data platform components across compute, storage, orchestration, streaming, and metadata.
  • Build and manage end-to-end MLOps pipelines, integrating CI/CD practices and automation for ML workflows.
  • Monitor platform and model health, pipeline performance, latency, and costs, driving continuous optimization.
  • Collaborate with global engineering and architecture teams to deliver infrastructure-as-code, secure patterns, and reusable services.
  • Translate business and product needs into reusable platform and MLOps capabilities, templates, and standards.
  • Provide guidance and coaching to teams on best practices, self-service tooling, and platform adoption.
  • Strengthen observability, data quality, and compliance through metrics, logging, lineage, and GDPR-aligned controls.
  • Contribute to global architecture and platform standards while representing EMEA-specific requirements and priorities.

We’re seeking someone with deep engineering craft, strong MLOps expertise, and the ability to balance speed with governance in a complex environment. You enjoy solving platform challenges, building scalable, reusable patterns, and enabling data and AI teams to develop, deploy, and scale models efficiently. You do not need a MedTech background, though experience in regulated industries or working with sensitive data is an advantage.

Must-haves (the practical elements)

  • Bachelor’s degree in computer science, engineering, or a related field, with 5–8+ years of experience in data, platform, or MLOps engineering.
  • Strong cloud experience, particularly with AWS and Snowflake (Azure is a plus), combined with hands-on skills in Python, SQL, and distributed processing frameworks (e.g., Spark/EMR).
  • Expertise with infrastructure-as-code (Terraform or similar), CI/CD pipelines (GitHub Actions, Azure DevOps), and containerized/orchestrated environments (Docker, Kubernetes).
  • Demonstrated ability to design, implement, and maintain MLOps pipelines covering model training, deployment, monitoring, and retraining, using tools such as SageMaker, MLflow, Kubeflow, or Vertex AI.
  • Model lifecycle management: Familiarity with model registries, feature stores, and governance frameworks that include versioning, lineage tracking, explainability, and compliance.
  • Experience in implementing observability for ML and data systems, including metrics collection, model-drift detection, and performance dashboards.
  • Security and compliance: Solid understanding of cloud security best practices (IAM, encryption, secrets management, policy-as-code) and the ability to design solutions aligned with governance and regulatory requirements.
  • Strong communication and collaboration skills across technical and non-technical stakeholders, fluency in English, and eligibility to work in one of the listed hub locations.

We also expect familiarity with

To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:

  • Modern data lakehouse architectures, data mesh concepts, and event streaming platforms (Kafka, Kinesis).
  • End-to-end MLOps lifecycle management, including CI/CD for machine learning models, model performance monitoring, and automation best practices.
  • Enterprise data catalogs (Collibra, Alation, Purview), documentation practices, and developer experience design.
  • Batch, micro-batch, and streaming workloads, cost optimization strategies, and large-scale or regulated environments.
  • Understanding of governance and compliance frameworks (GDPR), data residency requirements, and secure access models.

Bonus points

  • Experience in MedTech, Pharma, Consulting, or other regulated industries.
  • Exposure to AI/ML workflows, MLOps pipelines, semantic layers, feature stores, or GenAI-assisted tooling.
  • Strong interest in coaching, knowledge sharing, and working in large, multinational teams.

Why this role matters

This position sits at the heart of our new enterprise data strategy. The systems you build will provide the foundation for everything from operational reporting to advanced analytics, AI, and connected digital products. You will join a global community of engineers and architects who collaborate closely, share practices across regions, and collectively shape a new platform that will serve Boston Scientific for many years to come.

Because this is a greenfield transformation, you will have significant scope to influence architecture, establish standards, and design solutions that balance speed, governance, and sustainability. Your work will help accelerate how data improves decision-making, supports clinicians, and ultimately enhances patient outcomes.

Interview process

If you are excited by the idea of building secure, scalable, and well-engineered data platforms that enable others to innovate, we would be happy to hear from you.

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