{
  "job_id": "FyvBeoM9hNnMCU56AAAAAA==",
  "job_city": "London",
  "job_state": null,
  "job_title": "Full-Stack Data Scientist AI​/ML",
  "job_salary": null,
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 51.5072178,
  "job_location": "London",
  "job_onet_soc": null,
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Learn4Good",
      "apply_link": "https://www.learn4good.com/jobs/london/uk/info_technology/4972583537/e/"
    }
  ],
  "employer_logo": null,
  "employer_name": "Ntrinsic Consulting",
  "job_is_remote": false,
  "job_longitude": -0.12758619999999998,
  "job_posted_at": "1 day ago",
  "job_publisher": "Learn4Good",
  "job_apply_link": "https://www.learn4good.com/jobs/london/uk/info_technology/4972583537/e/",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "Get AI-powered advice on this job and more exclusive features.Direct message the job poster from Ntrinsic ConsultingPrincipal Consultant - 360 Recruiter | Account Management | Business DevelopmentFull-Stack Data Scientist AI/MLSecurity Clearance: Active SC or SC Eligible – MandatoryStart Date: ImmediateRate: negotiable with experienceYou’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 Dev Ops, ensuring effective deployment and integration of AI/ML solutions.Assist Dev Ops 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 Sage Maker, Bedrock, Glue, Athena, Redshift, and RDS.Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across theManage 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 andSolve 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 productionHands-on experience with AWS Machine Learning and Data services: Sage Maker, 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 equivalentProficiency with SQL, version control (Git), and working with Jupyter or RStudioExperience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, andStrong 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 Dev Ops 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 levelSeniority level Not ApplicableEmployment typeEmployment type ContractJob functionJob function Information TechnologyIndustries IT Services and IT ConsultingReferrals increase your chances of interviewing at Ntrinsic Consulting by 2xApply BELOW",
  "job_google_link": "https://www.google.com/search?ibp=htl;jobs&q=machine+learning+engineer+in+London,+UK+jobs+in+the+last+month&htidocid=FyvBeoM9hNnMCU56AAAAAA%3D%3D&hl=en-GB&shndl=37&shmd=H4sIAAAAAAAA_xXLMQrCQBAAQGzzBEHYWjAngo2pJKII0SYPCJvzuJyeuyG7gZTpLa38Xl6iNtNN8pkl2bGPcVUq2gccUBFKGxxpEIX9eRpf5lLANL7hzjWIw842wAQnZh_dPGtUW9kZIxJTL4oabGr5aZhczYP5JflTSYOdayOqqzbb9ZC25JeLq3aBJFjImaSPGshDICiYbkxf_v2Z5pwAAAA&shmds=v1_ATWGeeOefELZC85N4yziwSK98mTJObaQT_5O65X2ozJdO7JxSA&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq=machine+learning+engineer+in+London,+UK+jobs+in+the+last+month&htidocid=FyvBeoM9hNnMCU56AAAAAA%3D%3D",
  "employer_reviews": null,
  "employer_website": "https://www.ntrinsicglobal.com",
  "job_onet_job_zone": null,
  "job_salary_period": null,
  "job_salary_string": null,
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_benefits_strings": null,
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1774569600,
  "job_posted_at_datetime_utc": "2026-03-27T00:00:00.000Z"
}