AI & ML Senior Engineer
6 Month contract initially
Based: Hybrid/London - Max 2 days p/w onsite
Rate: £Market rates p/d (via Umbrella company)
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a number of AI & ML Senior Engineer's to join the team.
Join us as an AI & ML Senior Engineer and make a meaningful impact on our data-driven journey. You will have the opportunity to work on real-world, high-scale ML systems impacting millions of customers. Be part of a modern ML Engineering team in a supportive, cross-functional environment. Learn from senior engineers and grow your skills across the full ML Ops stack.
We're looking for an AI & ML Senior Engineer to join our growing ML Engineering team. You'll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms.
This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML workflows using modern cloud infrastructure and tools.
Key Responsibilities:
* Develop and maintain ML pipelines for training, validation, deployment, and monitoring of models.
* Support scalable ML solutions across use cases like recommendations, forecasting, and automation.
* Work with tools like Airflow, Azure ML, and FastAPI to deliver production-ready systems.
* Automate model deployment workflows using CI/CD tools (e.g. GitHub Actions, Azure DevOps).
* Contribute to the reliability, observability, and performance of the ML platform.
* Collaborate with data scientists to productionise research code and models into scalable services.
* Help implement monitoring, alerting, and model drift detection using tools like NewRelic, Azure Monitor, and custom logging frameworks.
* Continuously improve and manage infrastructure using Terraform, Docker, and Fargate.
Key Skills & Experience:
* Proven experience in ML Engineering, DevOps, or Data Engineering with exposure to ML lifecycle.
* Hands-on experience building or maintaining ML workflows or pipelines.
* Strong Python skills and experience with tools like MLflow, Scikit-learn, or PyTorch.
* Familiarity with cloud platforms (especially Azure, AWS).
* Good understanding of containerisation (Docker) and orchestration (e.g. Kubernetes).
* Exposure to CI/CD tools (GitHub Actions, Azure DevOps) and infrastructure-as-code (Terraform).
* Collaborative team player with excellent communication skills.
Technical Stack:
* Languages: Python (primary), SQL, Bash
* Cloud: Azure, AWS
* Tools: MLflow, Azure ML, Airflow, Docker, Fargate, FastAPI
* Data: Snowflake, Delta Lake, Redis, Azure Data Lake
* Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Grafana, Azure Monitor
Desirable skills/knowledge/experience:
* Knowledge of data platforms (e.g. Snowflake, Azure Data Lake).
* Experience deploying models as APIs (FastAPI, Azure Functions).
* Understanding of monitoring, model performance tracking, and observability best practices.
* Familiarity with orchestration tools like Airflow or Azure Data Factory.
This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds.
Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
