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- Tasks: Design and deploy AI solutions on cloud platforms while optimising ML models.
- Company: Join ICON, a leading healthcare intelligence and clinical research organisation.
- Benefits: Enjoy flexible working, competitive pay, health insurance, and diverse perks.
- Other info: Fully remote role with a focus on innovation and career growth.
- Why this job: Shape the future of clinical development with cutting-edge AI technology.
- Qualifications: 4+ years in machine learning, skilled in Python, Java, or C++.
The predicted salary is between 36000 - 60000 £ per year.
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.
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:
- 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.
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.
Machine Learning Engineer in Livingston employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Livingston
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This is your chance to demonstrate your expertise in Python, Java, or C++ and how you've tackled real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your experience with cloud platforms like AWS, Azure, or GCP. Remember, they want to see how you think!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t meet every single requirement, we encourage you to throw your hat in the ring. You might just be the perfect fit for us at ICON, so go for it!
We think you need these skills to ace Machine Learning Engineer in Livingston
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI, cloud platforms, and programming languages like Python, Java, or C++. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in the pharma industry can contribute to our mission. Let us know what excites you about working at ICON.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying AI solutions or optimising ML models, we love seeing real-world applications of your skills. Include links to your GitHub or portfolio if you have them.
Apply Through Our Website: We encourage you to apply directly through our careers site. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find more info about the benefits we offer and our inclusive culture!
How to prepare for a job interview at NLP PEOPLE
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Azure, GCP, and the programming languages required. Brush up on your Python, Java, or C++ skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in machine learning or AI. Think about challenges you've faced, the solutions you implemented, and the impact they had on your projects. This will demonstrate your analytical thinking and expertise.
✨Familiarise Yourself with Agile Practices
Since the role involves Agile methodologies, be prepared to discuss your experience with tools like JIRA and how you’ve managed multiple projects. Highlight any leadership roles you've taken on and how you’ve mentored junior engineers to foster a collaborative environment.
✨Understand the Pharma Domain
Given the focus on the pharma industry, it’s crucial to have a grasp of clinical, safety, and regulatory aspects. Research recent trends or challenges in the field and be ready to discuss how your technical skills can contribute to compliant AI solutions in this context.