HelloKindred
MLOps Engineer - Azure ML Specialist

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Job Description
Company Description
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.
Job Description
Role Overview
Our 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.
What you will do:
- Investigate current Azure ML development patterns and Data Scientist workflows.
- Analyse training pipelines, deployment pipelines, model artefacts, and monitoring capabilities.
- Document dependencies, integrations, and data flows.
- Extract and transition model assets, configurations, and deployment patterns.
- Support the migration and testing of pilot models.
- Provide recommendations for migration and optimisation.
- Assess existing machine learning workloads and support production migration activities.
- Apply Azure DevOps and CI/CD practices to support model lifecycle management.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Strong hands-on experience with Azure ML.
- Practical experience with Python and machine learning frameworks.
- Experience working with Azure DevOps and CI/CD.
- Knowledge of model lifecycle management and MLOps practices.
- Experience supporting production machine learning workloads.
- Ability to investigate and document development patterns, pipelines, dependencies, integrations, and data flows.
- Experience supporting machine learning workload migration and testing.
- Strong analytical skills with the ability to provide practical recommendations for migration and optimisation.


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Additional Information
- 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.
- 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.
Job Details
- Department: Tech Staffing
- Anticipated Hours per Week: 40
- Work Setup: Hybrid
- Compensation: up to GBP 313 - daily
- Anticipated Contract End Date/Length: December 31, 2026
- Clearance Required: BPSS
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