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

Apply Now

Data Scientist

Cognizant Technology Solutions
City of London
3 days ago
Create job alert
Job Summary

We are seeking an experienced Architect with 8 to 10 years of experience in Cloud Machine Learning and Vertex AI. The ideal candidate will work in a hybrid model focusing on designing and implementing cutting-edge AI solutions. This role does not require travel and operates during day shifts allowing for a balanced work-life integration.

Responsibilities
  • Design and implement scalable cloud-based machine learning solutions to meet business objectives.
  • Collaborate with cross-functional teams to integrate AI models into existing systems.
  • Analyze and optimize machine learning algorithms for performance and accuracy.
  • Provide technical guidance and mentorship to junior team members.
  • Develop and maintain documentation for AI solutions and processes.
  • Ensure compliance with industry standards and best practices in AI and cloud computing.
  • Conduct regular reviews of AI models to ensure they meet the required standards.
  • Lead the development of innovative AI solutions using Vertex AI.
  • Oversee the deployment and monitoring of AI models in production environments.
  • Work closely with stakeholders to understand and translate business needs into technical solutions.
  • Evaluate and recommend new tools and technologies to enhance AI capabilities.
  • Participate in code reviews and provide constructive feedback to peers.
  • Stay updated with the latest trends and advancements in AI and cloud technologies.
Qualifications
  • Possess a strong background in cloud machine learning and Vertex AI.
  • Demonstrate expertise in designing and deploying AI models in cloud environments.
  • Have experience in collaborating with cross-functional teams.
  • Show proficiency in optimizing machine learning algorithms.
  • Exhibit strong problem-solving and analytical skills.
  • Be familiar with industry standards and best practices in AI.
  • Have excellent communication and documentation skills.
Certifications Required

Google Cloud Professional Machine Learning Engineer

The Cognizant community

We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

  • Cognizant is a global community with more than 300,000 associates around the world.
  • We don't just dream of a better way - we make it happen.
  • We take care of our people, clients, company, communities and climate by doing what's right.
  • We foster an innovative environment where you can build the career path that's right for you.
About us

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Disclaimer:

Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Palantir

Data Scientist Python Software - London (IT) / Freelance

Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.