Senior ML Engineer

The Opportunity Hub UK Ltd; Sheffield; Hybrid; GBP 48,000 - 64,000; Full time

Benefits offered by this job

Private medical

Dental insurance

Enhanced pension

Performance bonuses

Hybrid working

Job summary

The Opportunity Hub UK Ltd in Sheffield is seeking a Senior ML Engineer to design, build and deploy machine learning models into production systems. You will optimise models for performance and cost, and collaborate with data engineers to scale data pipelines.

You will translate business problems into ML approaches and contribute to technical standards within a well-resourced team, with a comprehensive benefits package and hybrid working.

Qualifications

• Solid commercial experience building and deploying machine learning models in production environments.
• Strong Python skills and familiarity with ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Working knowledge of MLOps practices including model versioning, monitoring, and CI/CD for ML systems.
• Comfortable with cloud platforms (AWS, Azure or GCP) and data infra supporting ML work.
• Good communicator who can explain technical decisions to non-technical stakeholders.
• Mid-level engineer who can work independently within an established structure.

Responsibilities

• Design, build and deploy ML models into production systems across the full lifecycle from data prep to monitoring.
• Optimize existing models for performance, accuracy and cost and decide when to retire a model.
• Collaborate with data engineers and platform teams to build pipelines for enterprise-scale data.
• Write clean, tested, maintainable code and review teammates’ work.
• Translate business problems into ML approaches understandable to non-engineers.
• Contribute to technical standards and best practices in the AI & Technology function.

Skills

Python

PyTorch

TensorFlow

scikit-learn

MLOps

AWS

Cloud

Data Pipelines

Communication

Education

CS/Engineering degree

Tools

CI/CD

Git

Docker

Kubernetes

Job description

Perfect role for a mid professional looking to grow their AI & Technology career in Sheffield.

Machine learning has moved well past the pilot-project stage at most large organisations, and this is one of the ones that's actually done the work to put models into production at scale. This enterprise technology business, 250+ employees strong and an established name in its sector, needs a Senior ML Engineer to keep building on infrastructure that already handles serious volume. It's a well-resourced team with proper frameworks in place, not a scrappy start-up figuring things out as it goes.

Here's what you'll be doing:

Design, build and deploy machine learning models into production systems, working across the full lifecycle from data preparation to monitoring

Optimise existing models for performance, accuracy and cost, and know when a model needs retiring rather than tweaking

Collaborate with data engineers and platform teams to build pipelines that can handle enterprise-scale data volumes

Write clean, tested, maintainable code and review the work of colleagues on the wider team

Translate business problems into ML approaches that stakeholders outside engineering can actually understand

Contribute to technical standards and best practices that other engineers in the AI & Technology function will follow

Here are the skills you'll need:

Solid commercial experience building and deploying machine learning models, ideally in a production environment

Strong Python skills and familiarity with common ML frameworks (PyTorch, TensorFlow, scikit-learn)

Working knowledge of MLOps practices, including model versioning, monitoring and CI/CD for ML systems

Comfortable with cloud platforms (AWS, Azure or GCP) and the data infrastructure that sits underneath ML work

Good communicator. You'll need to explain technical decisions to people who don't live in the codebase

A mid-level engineer who can work independently within an established structure, not someone who needs constant direction

Key perks and benefits:

£47,500 to £64,000 depending on experience

Hybrid working, with time split between home and the Sheffield office

Private medical and dental insurance

Enhanced pension scheme and performance-based bonuses

A genuinely comprehensive benefits package on top of the salary, backed by an employer that's been doing this for a while

Why pursue a career in AI & Technology?

AI & Technology isn't slowing down, and the organisations that got their infrastructure right early are the ones now hiring to scale it further. Sheffield has quietly built a strong tech and engineering base outside the usual London orbit, with lower living costs and less commuting stress thrown in. For a Senior ML Engineer at this stage of their career, this kind of role gives you both the technical depth and the structured progression that's harder to find at smaller firms.

This Senior ML Engineer opportunity in Sheffield is brought to you by The Opportunity Hub UK.

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