Senior Machine Learning Engineer

ZipRecruiter; City Of London; Hybrid; GBP 90,000 - 110,000; Full time

Job summary

A leading AI consultancy is seeking a Machine Learning Engineer on a 6-month fixed-term contract to design, build, and deploy production-grade ML systems that impact government services. This hybrid role requires active SC clearance, strong software engineering skills in Python, and experience with ML frameworks like PyTorch and TensorFlow. Join a high-calibre team working on meaningful projects in a fast-paced environment.

Benefits

Competitive salary

Hybrid working flexibility

Opportunity to work on impactful projects

Qualifications

• Active SC Clearance.
• Strong software engineering background.
• Experience deploying ML models.
• Knowledge of ML techniques.
• Hands-on experience with cloud platforms.
• Strong communication skills.
• Comfortable in a fast-paced environment.

Responsibilities

• Designing and delivering software, infrastructure, and MLOps systems.
• Collaborating with cross-functional teams.
• Creating scalable, reusable tools for ML deployment.
• Leading technical design for government projects.
• Providing technical expertise and mentoring.

Skills

Python

Communication skills

Docker

Kubernetes

MLOps

Cloud platforms (AWS, Azure, GCP)

ML frameworks (PyTorch, TensorFlow, Scikit-learn)

Job description

Overview

Machine Learning Engineer – 6-Month FTC | £90,000 – £110,000 | UK-wide (Hybrid: London client-site)

Our client is a leading AI consultancy and software company delivering impactful, human-centric AI solutions to government, industry, and global organisations. With a proven track record across critical national projects, they combine deep technical expertise with a pragmatic approach to solving complex, high-stakes problems.

They are now seeking a Machine Learning Engineer to join their London Government team on a 6-month fixed-term contract. This role offers the opportunity to design, build, and deploy production-grade ML systems that have a direct impact on government services and policy delivery.

What you’ll be doing

• Designing and delivering software, infrastructure, and MLOps systems that bring ML models into real-world use.
• Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers.
• Creating scalable, reusable tools that improve ML deployment and operationalisation.
• Leading on technical design and delivery of government-focused projects.
• Providing technical expertise to stakeholders and mentoring less experienced engineers.
• Developing and embedding best practices for managing ML in production.

What we’re looking for

• Active SC Clearance
• Strong software engineering background with proficiency in Python.
• Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn.
• Knowledge of probability, statistics, and common ML techniques.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Proficiency with containers, Docker, and Kubernetes.
• Strong communication skills with the ability to work across technical and non-technical teams.
• Comfortable working in a high-growth, fast-paced environment.

Travel & Location

• Open to applicants from anywhere in the UK.
• Expectation to travel to London client site up to 3 days per week (worst case), with the remainder of time split between remote and office-based working.

Why join

• Work on government AI projects that have real-world policy and impact.
• Competitive fixed-term salary: £90,000 – £110,000 (pro rata).
• Hybrid working with flexibility across UK locations.
• Opportunity to shape and deliver applied AI systems at scale.
• Be part of a high-calibre team with exposure to cutting-edge thinking in AI engineering.

This is a role for someone who wants to move beyond experimentation and bring machine learning into live production systems where it makes a measurable difference to public services. If you have the technical capability, the clearance, and the drive to deliver meaningful outcomes, this is a chance to contribute to projects that matter while working alongside some of the most skilled practitioners in applied AI.