Senior Full Stack AI/ML Engineer - 6 month FTC

Aztec Group; Southampton; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading alternative fund management firm in the UK is looking for an experienced Senior Full Stack AI/ML Engineer for a six-month contract. The role focuses on operationalizing AI solutions, establishing CI/CD pipelines, and enhancing model deployment. The ideal candidate will have strong Python skills, experience in ML frameworks like TensorFlow and PyTorch, and familiarity with cloud platforms such as AWS or Azure. This role offers the opportunity to build AI capabilities within a talented technology team.

Qualifications

• Proven experience in deploying and operationalizing machine learning models in production environments.
• Strong proficiency in Python and ML frameworks.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP.

Responsibilities

• Integrate and deploy AI/ML models into production environments.
• Establish CI/CD pipelines for model updates.
• Improve performance and reliability of AI solutions.
• Document processes for internal teams.
• Work closely with Data Scientists and business stakeholders.

Skills

Python

TensorFlow

PyTorch

MLflow

Kubernetes

Docker

Terraform

Observability practices

Problem-solving skills

Stakeholder management

Job description

Reports to Director of Data

The Aztec Group are seeking an experienced Senior Full Stack AI/ML Engineer to join our team on a six‑month contract. This role will focus on operationalising, optimising, supporting, and enhancing AI‑driven solutions that embed models developed initially by a third‑party provider. The successful candidate will also establish observability, continuous evaluation, CI/CD pipelines, and other best practices for production‑grade AI systems. Additionally, the role includes knowledge transfer and capability building to help establish a permanent internal AI/ML engineering function.

Key responsibilities

Operationalisation & Deployment

• Integrate and deploy AI/ML models into production environments with robust monitoring and observability
• Establish CI/CD pipelines for model updates and ensure reproducibility and scalability

Optimization & Enhancement

• Improve performance, reliability, and efficiency of existing AI solutions
• Implement continuous evaluation frameworks to monitor model drift and maintain accuracy

Infrastructure & Tooling

• Design and implement infrastructure for model serving, versioning, and lifecycle management
• Ensure compliance with data governance, security, and regulatory requirements

Knowledge Transition & Capability Building

• Document processes, frameworks, and best practices for internal teams
• Mentor internal staff and assist in defining the roadmap for a permanent AI/ML engineering capability

Collaboration & Stakeholder Engagement

• Work closely with Data Scientists, Data Engineers, and business stakeholders to align technical solutions with strategic objectives
• Communicate technical concepts clearly to non‑technical audiences

Skills, knowledge, expertise

Technical Expertise

• Proven experience in deploying and operationalising machine learning models in production environments
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow, or similar)
• Experience with CI/CD pipelines, containerisation (Docker), and orchestration (Kubernetes)
• Familiarity with observability tools and practices for AI systems

Cloud & Infrastructure

• Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and infrastructure‑as‑code tools (Terraform)
• Knowledge of data pipelines and integration with enterprise systems

Domain Knowledge

• Financial services or alternative asset management experience is highly desirable

Soft Skills

• Strong problem‑solving and analytical skills
• Excellent communication and stakeholder management abilities
• Ability to work independently and deliver results within tight timelines

You will need to be quick to learn new systems and be great with people, as close working relationships between our colleagues and clients is at the heart of what we do. Beyond that, we will be with you every step of the way, enabling you to get the most out of your role, grow your skills your way, and see your career develop in the way you want. Be part of our talented Technology team and unbox your passion at a multi‑award‑winning leader in the alternative fund management industry.