Senior Machine Learning Engineer

ZipRecruiter; Manchester; Hybrid; GBP 100,000 - 130,000; Full time

Job summary

Join a pioneering healthtech start-up as a Senior AI Engineer in Manchester. Lead the implementation of AI automation, design robust ML infrastructure, and significantly impact healthcare through innovative solutions. Work in a flexible, team-oriented environment while enjoying a competitive salary and equity stake.

Benefits

Flexible working model

Collaborative team culture

Opportunity for significant impact on healthcare outcomes

Meaningful equity stake

Qualifications

• 6+ years of software development experience.
• 4+ years in building and deploying ML/AI systems.
• Proficient in Python (pandas, PyTorch, scikit-learn).

Responsibilities

• Design, build, and deploy production-grade AI systems.
• Prototype AI-driven utilities and automation tools.
• Collaborate closely with product and engineering teams.

Skills

Python

Machine Learning

Cloud Infrastructure

Communication

Tools

Docker

MLOps practices

MLflow

Vertex AI

SageMaker

Job description

Job Description

Senior AI Engineer | HealthTech | Hybrid (Manchester)

£100-130k + equity

This series A healthtech start-up is transforming healthcare delivery through AI-powered solutions, making patient care more personalised, efficient, and scalable. They're already partnering with global healthcare organisations and generating seven-figure ARR.

They're building an AI-first platform designed from the ground up to streamline workflows, enhance clinical decision-making, and dramatically improve patient outcomes.

We’re hiring a first Senior AI Engineer to pioneer the implementation of AI automation within the internal operations and across their client-facing products. This unique role offers significant autonomy and the opportunity to define and shape AI strategy.

Key Responsibilities:

• Design, build, and deploy production-grade AI systems across various use cases including classification, personalisation, forecasting, and more.
• Rapidly prototype AI-driven utilities and automation tools, launching them swiftly into production.
• Collaborate closely with product and engineering teams to apply machine learning practically and effectively.
• Define and develop robust ML infrastructure, including model tracking, CI/CD pipelines, deployment practices, and A/B testing frameworks.
• Continuously explore and evaluate emerging AI models and methodologies, integrating them to maximise impact and utility.

Your Profile:

• 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems.
• Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go).
• Experienced in deploying scalable AI models using cloud infrastructure (GCP ).
• Knowledgeable in containerisation (Docker) and serverless architectures, as well as MLOps practices and tooling (MLflow, Vertex AI, SageMaker).
• Exceptional at working autonomously in a remote-first environment, with strong communication skills.

Benefits:

• Fully remote, flexible working model with a supportive and collaborative team culture.
• Opportunity to significantly impact healthcare outcomes through innovative AI solutions.
• Competitive compensation package (£100-130k base + equity), with meaningful equity stake.
• Occasional in-person collaboration in Manchester for team alignment and strategic discussions.

Help lead the future of healthcare with your AI expertise. Interested? Let’s connect for a confidential discussion.