Senior ML Platform Consultant (Hands-on Lead)
At a glance
Senior ML Platform & Ops role at HelloKindred. London · contract.
Pay not stated ML Platform & Ops salary
aimlroles summary, based on the employer's posting.
What you'll do
- Inspect Azure ML models, pipelines, dependencies and operating processes to shape the migration work
- Compare current Global AI Platform capabilities with what the migration requires, then recommend enhancements
- Set migration methods and technical standards, and guide the pilot move of two chosen models
- Coordinate Azure ML, Databricks and platform engineering contributors while working directly on architecture and delivery
- Turn discovery findings into practical migration guidance, a roadmap and reusable materials
What you bring
- Strong hands-on work with Azure ML and enterprise MLOps platforms
- Practical experience moving ML platforms, backed by an engineering background and delivery work
- You can guide technical coordination across ML and platform engineering teams
- You meet BPSS clearance requirements and have permission to work in the country without sponsorship
Who this fits
This is a hands-on senior consulting lead role, combining technical delivery with coordination and migration planning. It is based in London on a hybrid schedule, with two to three office days each week, and is expected to run through December 31, 2026.
From the employer
Who is HelloKindred?
HelloKindred are specialists in staffing marketing, creative and technology roles, offering a range of talent solutions that can be delivered on-site, remotely or hybrid.
Our 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.
Anticipated Contract End Date/Length: December 31, 2026
Work Set-Up: Hybrid (2–3 days per week in office)
Clearance Required: BPSS
Our client in the Information Technology and Services industry is looking for a Senior ML Platform Consultant (Hands-on Lead) to lead discovery and pilot migration activities while actively contributing to architecture, engineering, and delivery. The role will focus on assessing Azure ML models, pipelines, dependencies, and operational processes, reviewing existing Global AI Platform capabilities, defining migration patterns and standards, and leading the pilot migration of two selected models.
What you will do:
- Perform hands-on assessment of Azure ML models, pipelines, dependencies, and operational processes.
- Review existing Global AI Platform capabilities and identify required enhancements.
- Define migration patterns, standards, and the technical approach.
- Lead delivery of the pilot migration for two selected models.
- Coordinate activities across Azure ML, Databricks, and platform engineering resources.
- Contribute hands-on to architecture, engineering, and delivery activities.
- Produce recommendations, a migration roadmap, and reusable assets.
- Support discovery activities and translate findings into practical migration approaches.
- Demonstrate strong experience with Azure ML and enterprise MLOps platforms.
- Bring hands-on experience with ML platform migration.
- Possess a strong engineering background with proven hands-on delivery experience.
- Demonstrate the ability to contribute across architecture, engineering, and delivery activities.
- Show experience coordinating technical activities across ML and platform engineering teams.
- Be eligible for BPSS clearance.
Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.
HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.
We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.
HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.