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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:
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)
We also expect familiarity with
To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:
Bonus points
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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France-Île-de-France; Germany-Düsseldorf; Netherlands-Kerkrade; Spain-Madrid; United Kingdom-Hemel Hempstead
ADay in the Lifeof the EMEA Data Product Manager & Owner:
You’ll begin your day by reviewing data products performance and reliability signals across your portfolio - usage and adoption trends, data quality scores, pipeline SLAs/SLOs, and customer feedback. You’ll meet with internal customers to connect business outcomes to clear data products objectives, refining priorities to unlock measurable value.
When EMEAspecific regulatory constraints (e.g., GDPR) arise, you’ll partner with Legal, Security, and HR to chart compliant pathways that keep delivery moving.
You will work with data engineering, platform, architecture and governance teams to clarify data contracts, schemas, lineage, and access models, ensuring every increment is productionready and governed by design. You’ll groom the roadmap and backlog, decomposing epics, sharpening acceptance criteria, and balancing new capabilities with technical debt, observability, and cost optimization. You’ll demo recent increments, capture user feedback, and turn it into testable stories that improve usability, trust, and performance. You’ll brief sponsors on value realized and present investment options for the next phases.
On a monthly rhythm, you’ll coordinate with global data and architecture forums to reuse patterns, converge on standards, and ensure EMEA needs are represented in the enterprise roadmap.
As a champion of the data strategy & enablement team, you will drive adoption through excellent product experience - discoverability in the catalog, clear documentation, and dependable service levels that help teams selfserve trustworthy, governed data at scale.
The role:
Reporting to the Data Strategy & Enablement Sr Manager, the EMEA Data Product Manager & Owner is accountable endend for strategy and dayday delivery of data products
You will translate business outcomes into product capabilities, manage scope and trade
Success requires a blend of product strategy, stakeholder leadership, and handson ownership to ship secure, compliant, and scalable data products that power analytics, AI, and operational workflows across the region.
Key Responsibilities:
What you will need:
What do you offer:
What do we offer:
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France-Centre-Val de Loire
About the Role
The Field Clinical Specialist (FCS) provides field/remote clinical, technical and educational support to assigned accounts at a Territory, Regional, National or EMEA level.
Working with the Cardiac Rhythm Management (CRM) portfolio, this role covers Limoges, the South West of France, with some additional case support as and when required by client needs. Work is driven by Customer demand and pre-planned support requirements, and the primary focus is case support, using clinical expertise to influence Customer usage of the full portfolio.
This remote field-based role offers a permanent position and requires extensive travel across Limoges, the South West of France (up to five days per week).
Your responsibilities will include:
What are we looking for in you:
What we can offer to you:
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Costa Rica-Coyol
About the Role:
To support the plant facilities operations and give support on quality records such as cleaning records, pest control, maintenance reports, etc
You’re Responsibilities Include:
What We’re Looking For
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Costa Rica-Heredia
Hybrid Roles:
Key Responsibilities
Application Leadership:Manage and support core manufacturing applications (e.g. MES, Training, Equipment Management), ensuring high availability, performance and alignment with operational needs
Project Management:Lead end-to-end development and implementation of new systems and upgrades, including requirements gathering, vendor selection, integration, testing and rollout
System Optimization:Identify opportunities to improve system efficiency, data accuracy and user experience through automation, customization and integration
Vendor Management:Coordinate with external vendors and service providers to ensure timely delivery, support and compliance with SLAs
Compliance and Security:Ensure applications meet regulatory requirements (e.g. FDA, ISO) and follow cybersecurity best practices
Qualifications
Bachelor’s degree in Computer Science, Information Systems, Engineering or related field
5+ years of experience in IT application management within a manufacturing environment
Strong knowledge of manufacturing systems such as MES, preferably Siemens Opcenter CORE
Experience with cloud platforms (AWS, Azure, etc), system integration, data application architecture and process automation
Familiarity with continuous improvement methodologies or lean manufacturing concepts
Excellent communication, problem-solving and project management skills
Ability to work in a fast-paced, cross-functional environment
Preferred Skills
Experience of working in a regulated industry like Medical Devices or Pharma
Experience with Industry 4.0 technologies (IoT, predictive maintenance, digital twins) and AI
Knowledge of data platforms (like Snowflake)
Software validation and automated testing methodologies and tools
Certifications in PMP, ITIL, or relevant technologies
Multinational or multi-site manufacturing experience
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OurInterventional Oncology and Embolization (IO&E)portfolio empowers physicians to treat tumors less invasively. It includes:
, you will lead cross-functional teams in the execution ofin oncology. This role emphasizes agility, learning, and creative problem-solving to accelerate the development of breakthrough cancer therapies.
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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:
Commercial responsibilities:
General responsibilities:
Quality system requirements:
Required qualifications:
Preferred qualifications:
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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:
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)
We also expect familiarity with
To thrive in this role, you should feel comfortable with, or be eager to grow in, these areas:
Bonus points
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.
These jobs might be a good fit