At a Glance
- Tasks: Build and scale AI infrastructure that powers impactful services for public sector organisations.
- Company: Mission-led AI company focused on real-world outcomes and community support.
- Benefits: Competitive salary, bonus, hybrid working model, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Join a high-impact team and influence the future of AI technology.
- Qualifications: Experience in MLOps, Python, Kubernetes, and cloud-native infrastructure.
The predicted salary is between 63000 - 77000 £ per year.
Want to build AI systems that directly influence real-world outcomes? Enjoy solving infrastructure and scalability challenges across ML, NLP and emerging AI products? Looking for ownership of an AI platform used across a growing customer base?
We're partnered with a mission-led AI company whose technology helps public sector organisations identify vulnerable individuals earlier and make more informed intervention decisions. Their platform combines predictive analytics, machine learning and AI to support frontline services across multiple domains. Following continued growth, they're investing in their core AI engineering function and are looking for a Senior MLOps Engineer to help scale the infrastructure behind the platform. This is an opportunity to join a small, high-impact team where you'll have significant influence over architecture, deployment and platform standards.
Role Summary
As a Senior MLOps Engineer, you'll own the infrastructure backbone that powers the company's AI services, ensuring models and applications are deployed, monitored and scaled reliably. You'll work across predictive modelling, text analytics and future AI initiatives, building the systems that enable engineering teams to ship confidently.
Key Responsibilities
- Own and evolve the core AI platform infrastructure supporting production ML services.
- Build and maintain orchestration pipelines using Dagster, Airflow or similar tooling.
- Deploy and manage workloads using Kubernetes and cloud-native infrastructure.
- Develop platform tooling and services in Python.
- Implement and maintain Terraform infrastructure and automation.
- Establish robust monitoring, observability and platform reliability standards.
- Support the deployment and scaling of machine learning, LLM and text analytics applications.
Key Details
- Salary: Up to £85,000 + 10% bonus
- Working Model: Hybrid, 1-2 days per week onsite in Central London
- Tech Stack: Python, Azure, Kubernetes, Terraform, Dagster, Airflow, ML Infrastructure, LLMs, Vector Databases
- Visa Sponsorship: Exceptional candidates only
Interested? Please apply below.
Senior MLOps Engineer - AI Infrastructure in Slough employer: Harnham
As a leading specialist data consultancy, we pride ourselves on fostering a collaborative and innovative work culture that empowers our Analytics Engineering Consultants to thrive. With a focus on professional development, we offer extensive growth opportunities and the chance to work on high-impact projects across diverse industries, all while enjoying the flexibility of remote work in the UK. Join us to be part of a team that values your expertise and encourages you to influence strategy and drive meaningful change for our clients.
