Job Description

Machine Learning Engineer
9 Month Contract
Location: Home / Bristol (3 days a week on site)
Rate: 750 - 800 per day (Inside IR35)

Skills: Machine Learning, Containerisation - Kubernetes, Docker, CI/CD Pipelines, SC Clearance

We are looking to recruit a Machine Learning Engineer for leading IT Software & Solutions organisation. This is an initial 9 month contract.

Due to the work valid SC Clearance is essential.

You will also be required to work on client site in Bristol 3 days a week.

Key Responsibilities:

• Set Up & Configure ML Environments: Deploy and manage ML environments using tools like Kubernetes and Docker.
• Automation & Workflow Optimization: Develop scripts for automation and ensure reproducibility of ML experiments.
• Performance Monitoring: Conduct regular model performance reviews, data audits, and troubleshoot model-related issues.
• Cross-functional Collaboration: Work within cross-functional teams to establish ML development best practices and secure CI/CD pipelines.
• Scalable, Secure Solutions: Develop robust, secure, and scalable solutions while adhering to MOD and high-assurance compliance standards.
• Innovative ML Development: Identify opportunities for reusable solutions to maximize return on development investments.

Essential Skills:

• Technical & Problem-Solving Skills: Strong analytical skills for logical solution analysis and troubleshooting.
• ML Environment Experience: Proficient with Linux/Windows, ML frameworks (e.g., TensorFlow, PyTorch), and automation tools.
• Programming Proficiency: Expertise in Python, Ruby, Perl, Java, with advanced scripting skills in Bash or PowerShell.
• Model Monitoring & Performance Evaluation: Experience with MLflow, Prometheus, and similar tools for monitoring and logging.
• DevOps & Agile Awareness: Familiar with DevOps, Agile principles, CI/CD pipelines, and version control (Git).
• Security & Compliance: Understanding of secure code practices, threat modelling, and adherence to regulatory standards for high-assurance software.

Additional Experience:

• Industry Background: Over 5 years in defence, aviation, or medical sectors within roles such as software, DevOps, DevSecOps, MLOps, or AI engineering.
• Complex Project Experience: Proven experience with software and AI development and deployment in complex, high-stakes environments.
• Technical Documentation: Strong skills in producing high-standard technical documentation.

Desirable Skills:

• Data Project Development: Experience with large-scale data project implementation and solution governance.
• Frameworks & Infrastructure Knowledge: Familiarity with SaaS, IaaS, PaaS, SOA, APIs, microservices, and predictive analytics.

Qualifications:

• Essential: Degree or equivalent in Software/AI, or relevant experience.
• Desirable: Certifications in software languages, vendor qualifications (e.g., MCITP, VCP), and Agile/SAFe qualifications.