Machine Learning Engineer

ARM; Manchester; On-site; GBP 120,000 - 150,000; Full time

Job summary

Advanced Resource Managers Ltd is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI and Generative AI solutions. You will shape technical strategy and drive production-grade AI across client engagements.

You will lead, mentor and collaborate with engineers, focusing on scalable pipelines, model deployment and governance in a cloud-native environment.

Qualifications

• Experience in AI/ML engineering, applied AI.
• Strong Python and PyTorch proficiency.
• Expertise with LLMs and transformer architectures.
• Experience deploying RAG solutions and AI agents.
• Cloud experience, especially GCP.
• Proficiency with Docker, Kubernetes and modern MLOps tooling.
• Track record of taking AI solutions to production at scale.
• Strong communication with technical and business stakeholders.
• Experience leading design and mentoring engineers.

Responsibilities

• Lead design and delivery of AI/ML/RAG-based solutions.
• Build and deploy production-grade models with Python, PyTorch, transformers.
• Design scalable MLOps pipelines, CI/CD and deployment strategies.
• Develop model serving using cloud-native and containerized setups.
• Create reusable AI tooling and frameworks to accelerate adoption.
• Drive model monitoring, drift detection, testing and governance.
• Collaborate with architects, data scientists and stakeholders to deliver value.
• Mentor engineers and promote engineering excellence.
• Support strategy, R&D and innovation initiatives.

Skills

Python

PyTorch

LLMs

Transformer architectures

MLOps

Cloud experience (GCP)

Docker

Kubernetes

Model deployment

Model monitoring

Tools

Vertex AI

MLFlow

Job description

The Opportunity

A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best practices across complex client engagements.

Key Responsibilities

• Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions.
• Build and deploy production-grade models using Python, PyTorch and modern transformer architectures.
• Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies.
• Develop model serving capabilities using cloud-native technologies and containerised environments.
• Create reusable frameworks, tooling and templates to accelerate AI adoption.
• Drive model monitoring, drift detection, testing and governance best practices.
• Collaborate with architects, data scientists, platform engineers and stakeholders to deliver business value.
• Mentor and coach engineers while promoting engineering excellence across teams.
• Support technical strategy, research and innovation initiatives.

What We're Looking For

• Extensive experience in AI Engineering, Machine Learning Engineering or Applied AI.
• Expert-level Python and PyTorch skills.
• Strong understanding of LLMs, transformer architecture and model optimisation.
• Experience designing and deploying RAG solutions and AI agents.
• Strong cloud experience, ideally within Google Cloud Platform (GCP).
• Experience with Docker, Kubernetes and modern MLOps tooling.
• Proven experience taking AI solutions from concept to production at scale.
• Strong communication skills with both technical and business stakeholders.
• Experience leading technical design and mentoring engineers.

Desirable Experience

• Financial services or regulated industry experience.
• Experience within enterprise-scale AI environments.
• Knowledge of Vertex AI, KServe and MLFlow.
• Feature Store and Model Registry experience.
• Experience building internal AI platforms or reusable AI frameworks.
• Cloud certifications and advanced academic qualifications are beneficial.