National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Full-Stack Data Scientist AI/ML

Ntrinsic Consulting
London
4 days ago
Create job alert

Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Ntrinsic Consulting
Principal Consultant - 360 Recruiter | Account Management | Business Development Full-Stack Data Scientist AI/ML
Security Clearance: Active SC or SC Eligible – Mandatory
Start Date: Immediate
Rate: negotiable with experience
You’ll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices. The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain.
Your core responsibilities include:
Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions.
Assist DevOps engineers with packaging and deploying ML models, helping them understand AI-specific requirements and performance nuances.
Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures.
Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS.
Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the
Manage the entire ML lifecycle—from training and validation to versioning, deployment, monitoring, and governance.
Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and
Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization.
Support knowledge sharing and mentorship across data Scientists teams, promoting a best- practice-first culture.
Essential skills:
Demonstrated experience deploying and maintaining AI/ML models in production
Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift.
Familiarity with deploying Hugging Face models (e.g., NLP, vision, and generative models) within AWS environments.
Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent
Proficiency with SQL, version control (Git), and working with Jupyter or RStudio
Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and
Strong cross-functional collaboration skills and the ability to explain technical concepts to non- technical stakeholders.
Ability to work across cloud-based working experience in the following areas:
Deployment of ML Models or applications using DevOps pipelines.
Managing the entire ML lifecycle—from training and validation to versioning, deployment, monitoring, and governance.
Building automation pipelines and CI/CD integrations for ML projects using tools such as Jenkins and Maven.
Solving common challenges faced by Data Scientists, including model reproducibility, deployment portability, and environment standardization.
Seniority level Seniority level Not Applicable
Employment type Employment type Contract
Job function Job function Information Technology
Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at Ntrinsic Consulting by 2x
Get notified about new Data Scientist jobs in England, United Kingdom .
London, England, United Kingdom 16 hours ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 4 days ago
Oxford, England, United Kingdom 1 week ago
Data Scientist – Data Science Analytics and Enablement (DSAE) London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 days ago
Bradford, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 3 days ago
Greater London, England, United Kingdom 3 weeks ago
Greater London, England, United Kingdom 2 days ago
Manchester, England, United Kingdom 2 days ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 2 weeks ago
Greater London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Related Jobs

View all jobs

Computer Vision Engineer

Quantitative Researcher - Machine Learning

Machine Learning Full Stack Engineer Contractor (Python / Flutter / GCP) | Fully Remote / EU-Ba[...]

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.