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6,748

Pharmaceutical jobs in Spain

Machine Learning Engineer

NLP PEOPLE

Livingston
On-site
GBP 65,000 - 85,000
30+ days ago
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Senior Clinical Pharmacist — Elderly Care & Frailty Lead

Northamptonshire Healthcare Foundation Trust

England
On-site
GBP 40,000 - 50,000
30+ days ago

Electrician

Bilfinger

Dalry
On-site
GBP 60,000 - 80,000
30+ days ago

Sales Development Representative - North

Astute People

Ringway
On-site
GBP 30,000 - 45,000
30+ days ago

Sales Development Representative - North

ASTUTE Technical Recruitment Ltd

United Kingdom
On-site
GBP 40,000 - 60,000
30+ days ago
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Senior Director, Remote-First Life Sciences BD

Triumph Research Intelligence Limited

Cambridge
Remote
GBP 125,000 - 150,000
30+ days ago

Senior Director Business Development

Triumph Research Intelligence Limited

Cambridge
Remote
GBP 125,000 - 150,000
30+ days ago

Integrated Marketing Communication Content Specialist

Avantor

Coulsdon
Hybrid
GBP 40,000 - 60,000
30+ days ago
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VP Pharmacovigilance

Bionical Emas

East Midlands
On-site
GBP 80,000 - 100,000
30+ days ago

Sales Development Representative

ASTUTE Technical Recruitment Ltd

United Kingdom
On-site
GBP 40,000 - 60,000
30+ days ago

Industrial Refrigeration Engineer

Construction, Property and Engineering

England
On-site
GBP 30,000 - 50,000
30+ days ago

Field Sales Agent

Sales Agents Plus

Manchester
On-site
GBP 60,000 - 80,000
30+ days ago

* New* Competition litigation 5+

Noble Legal Limited

City Of London
On-site
GBP 80,000 - 100,000
30+ days ago

HVAC Engineer

JAM Recruitment

England
On-site
GBP 80,000 - 100,000
30+ days ago

Graduate Technical Sales Representative

Network Scientific Ltd.

England
On-site
GBP 25,000 - 30,000
30+ days ago

SOLUTION CONSULTANT PROCESS INDUSTRY UK/NORDICS

Belden

Manchester
On-site
GBP 50,000 - 70,000
30+ days ago

Engineering & Technical Manager

Avery Dennison

Cramlington
On-site
GBP 70,000 - 90,000
30+ days ago

Account Partner - DACH

Veeva Systems, Inc.

City Of London
Hybrid
GBP 70,000 - 90,000
30+ days ago

BioProcess Engineer – Senior Consultant

International Markets

South Kiscadale
On-site
GBP 60,000 - 80,000
30+ days ago

MuleSoft Architect

Technopride Ltd

Oxford
On-site
GBP 80,000 - 100,000
30+ days ago

Senior/Lead Control systems engineer (PLC or SCADA)

First Recruitment Group

Warrington
On-site
GBP 45,000 - 75,000
30+ days ago

Associate- Regulatory & Investigation

Thomson LRC

City of Edinburgh
On-site
GBP 80,000 - 100,000
30+ days ago

SAP Inventory & Production Materials Controller

CMS - Recruitment

Greenwich
On-site
GBP 40,000 - 60,000
30+ days ago

Business Development Manager – 12 month FTC

Blue Legal

City Of London
On-site
GBP 50,000 - 70,000
30+ days ago

Director, Scientific Services

Prime

City Of London
Hybrid
GBP 125,000 - 150,000
30+ days ago

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Machine Learning Engineer
NLP PEOPLE
Livingston
On-site
GBP 65,000 - 85,000
Full time
30+ days ago

Job summary

A leading healthcare intelligence firm is seeking a Machine Learning Engineer to design and build AI solutions. This fully remote role requires a minimum of 4 years' experience in AI, ML, and cloud platforms. The ideal candidate will be proficient in Python and skilled in project leadership and Agile methodologies. Competitive benefits offered, including health insurance and retirement planning.

Benefits

Annual leave entitlements
Health insurance offerings
Competitive retirement planning
Global Employee Assistance Programme
Flexible optional benefits

Qualifications

  • Minimum 4 years work experience in a similar position.
  • Experienced in AI, generative AI, cloud platforms, and Snowflake.
  • Skilled in ML algorithms, AI frameworks, and programming languages.

Responsibilities

  • Design, build, and deploy AI and generative AI solutions on cloud platforms.
  • Develop and optimize ML models, neural networks, and AI applications.
  • Lead projects and mentor junior engineers.

Skills

AI and generative AI solutions
ML models
Python
Agile practices
Cloud platforms (AWS, Azure, GCP)

Education

Graduated in Computer Science or relevant university degrees

Tools

Kubernetes
Docker
CI/CD
JIRA
Job description
Machine Learning Engineer (Client dedicated | Fully remote)

ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

As a Machine Learning Engineer you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence.

You can cover this position working fully remote from your current location in EMEA.

What you will be doing:
  • Design, build, and deploy AI and generative AI solutions on cloud platforms (AWS, Azure, GCP).
  • Develop and optimize ML models, neural networks, and AI applications using OpenAI APIs, LangChain, LangChat, and vector databases.
  • Write clean, maintainable code in Python, Java, or C++, and streamline deployment with Kubernetes, Docker, and CI/CD pipelines.
  • Lead projects, mentor junior engineers, and foster innovation across teams.
  • Apply Agile practices (JIRA) to manage multiple projects and ensure timely, high-quality delivery.
  • Leverage domain expertise in pharma (clinical, safety, regulatory) to create compliant AI solutions.
You are:
  • Graduated in Computer Science or relevant university degrees
  • Minimum 4 years work experience in a similar position
  • Experienced in AI, generative AI, cloud platforms (AWS, Azure, GCP), and Snowflake.
  • Skilled in ML algorithms, AI frameworks, and programming (Python, Java, C++).
  • Proficient with automation, containerization, CI/CD, and DevOps practices.
  • Strong communicator, leader, and mentor with excellent problem-solving skills.
  • Agile-minded, adaptable, and eager to learn emerging technologies.
  • Knowledgeable in pharma industry domains (clinical, safety, regulatory).
What ICON can offer you:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

Our benefits examples include:
  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs.
  • Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
  • Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being.
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others.

Visit our careers site to read more about the benefits ICON offers.

At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.

Are you a current ICON Employee? Please apply

Company:

ICON

Senior (5+ years of experience)

Tagged as: Academia, Machine Learning, Neural Networks, NLP, United Kingdom

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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