{"id":1772947,"url":"https://alion.io/job/hellokindred-mlops-engineer-azure-ml-specialist","title":"MLOps Engineer - Azure ML Specialist","company":{"id":4311,"name":"HelloKindred","domain":"hellokindred.com","url":"https://alion.io/company/hellokindred","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"contractor","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":313,"currency":"GBP","period":"day","gross":null,"usd_annual":103250},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-02T14:00:58Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-07T00:38:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Who is HelloKindred?\nHelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.\nOur vision is to make work accessible and people’s lives better. We do this by disrupting traditional employment barriers - connecting ambitious talent to flexible opportunities with trusted brands.\n Anticipated Contract End Date/Length: December 31, 2026\nWork Set-Up: Hybrid (2-3 days per week in office)\nClearance Required: BPSS\nOur client in the Information Technology and Services industry is looking for a MLOps Engineer - Azure ML Specialist to assess and document the existing Azure ML estate and support the migration of machine learning workloads.\nThe role will focus on investigating current Azure ML development patterns and Data Scientist workflows, analysing training and deployment pipelines, documenting dependencies and data flows, transitioning model assets and configurations, and supporting the migration and testing of pilot models.\nWhat you will do:\nInvestigate current Azure ML development patterns and Data Scientist workflows.\nAnalyse training pipelines, deployment pipelines, model artefacts, and monitoring capabilities.\nDocument dependencies, integrations, and data flows.\nExtract and transition model assets, configurations, and deployment patterns.\nSupport the migration and testing of pilot models.\nProvide recommendations for migration and optimisation.\nAssess existing machine learning workloads and support production migration activities.\nApply Azure DevOps and CI/CD practices to support model lifecycle management.\n Strong hands-on experience with Azure ML.\nPractical experience with Python and machine learning frameworks.\nExperience working with Azure DevOps and CI/CD.\nKnowledge of model lifecycle management and MLOps practices.\nExperience supporting production machine learning workloads.\nAbility to investigate and document development patterns, pipelines, dependencies, integrations, and data flows.\nExperience supporting machine learning workload migration and testing.\nStrong analytical skills with the ability to provide practical recommendations for migration and optimisation.\n Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.\nHelloKindred is committed to fair, transparent, and inclusive hiring practices. 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