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9,408

Intelligence jobs in United States

Machine Learning Engineer

NLP PEOPLE

Livingston
On-site
GBP 65,000 - 85,000
30+ days ago
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Senior OT Cyber Security Analyst

Lightsource bp

City Of London
On-site
GBP 65,000 - 85,000
30+ days ago

VP of Business Development - Power Industry

UtilitiesOne

England
On-site
GBP 100,000 - 130,000
30+ days ago

Senior Commercial Manager – Exhibitions

Lipton Media

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Retail Customer Service Professional

Sutherland

Hull and East Yorkshire
Hybrid
GBP 20,000 - 30,000
30+ days ago
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Cyber Security Consultant - Infrastructure Security

IBM

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

Principal Engineering Lead, AI Enabled Solutions

Kantar

City Of London
On-site
GBP 90,000 - 120,000
30+ days ago

RPU Constable Car Driver Transferee - HC613388

Hampshire County Council

United Kingdom
On-site
GBP 31,000 - 51,000
30+ days ago
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Business Solution Architect - Supply Chain

Brambles Limited

Penzance
Hybrid
GBP 60,000 - 80,000
30+ days ago

SOC Analyst

TLT LLP

Bristol
On-site
GBP 45,000 - 65,000
30+ days ago

Supply Planning Analyst

Bacardi

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

Software Engineer, Org Tech

Google DeepMind

City Of London
On-site
GBP 60,000 - 80,000
30+ days ago

Key Account Manager, Biotech

taylorollinson Ltd

United Kingdom
On-site
GBP 40,000 - 55,000
30+ days ago

Securities Services - AI/ML Product Manager - Vice President

J.P. Morgan

City Of London
On-site
GBP 100,000 - 140,000
30+ days ago

Business Solution Architect - Supply Chain

Brambles Limited

United Kingdom
Hybrid
GBP 70,000 - 90,000
30+ days ago

Senior Analyst, Solutions

StackAdapt

United Kingdom
Hybrid
GBP 45,000 - 70,000
30+ days ago

Business Solution Architect - Supply Chain

Brambles Limited

Addlestone
Hybrid
GBP 60,000 - 80,000
30+ days ago

LatAm Strategic Intelligence Lead

Warner Scott Recruitment

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Strategic Intelligence Manager – LATAM

Warner Scott Recruitment

City Of London
On-site
GBP 40,000 - 60,000
30+ days ago

Surveyor (Valuations - Long Income)

CBRE

City Of London
On-site
GBP 45,000 - 60,000
30+ days ago

Head of Responsible Innovation - Generative Biology Institute

Ellison Institute of Technology

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

Cyber Security Consultant - Data/Application Security

IBM

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

Account Manager - BPH - South West UK

Boston Scientific Gruppe

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

Senior Payroll Specialist

AlphaSense

United Kingdom
Remote
GBP 50,000 - 70,000
30+ days ago

Growth Programmes Lead, Growth and Sales, Ramboll UK&I

Ramboll

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