Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer

ICON Strategic Solutions
Livingston
1 week ago
Create job alert
Overview

Machine Learning Engineer (Client dedicated | Fully remote) – ICON plc is a world-leading healthcare intelligence and clinical research organization. We 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. You can cover this position working fully remote from your location in EMEA.

What you will be doing and the qualifications to apply are described below.

Responsibilities
  • 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. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.

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 click here to apply


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer (LLMs & AI Agents)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.