At a Glance
- Tasks: Build and optimise MLOps platforms using AWS for cutting-edge AI solutions.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive pay, hands-on experience, and a chance to work with top-tier technologies.
- Other info: Exciting 6-month contract with opportunities for knowledge transfer and career growth.
- Why this job: Make a real impact by deploying innovative AI applications and shaping the future of technology.
- Qualifications: 5+ years in MLOps, strong AWS skills, and a passion for machine learning.
The predicted salary is between 60000 - 80000 £ per year.
**Location:** London, UK
**Work Model:** On-site
**Contract Duration:** 6 Months
We are looking for a Senior MLOps Engineer with strong experience in machine learning infrastructure and AWS AI services to join our client’s on-site team in London on a 6-month contract. This project focuses on productionising multiple Generative AI and Machine Learning solutions by designing a scalable MLOps platform, implementing automated deployment pipelines, and establishing governance and monitoring standards for enterprise AI systems.
## **Project Objectives**
- Build an enterprise MLOps platform on AWS
- Deploy production-ready LLM applications
- Implement automated model deployment pipelines
- Build AI monitoring and governance capabilities
- Standardise the ML lifecycle across multiple engineering teams
- Deliver operational documentation and knowledge transfer
## **What You’ll Do**
### AWS AI Platform
- Design and build an enterprise MLOps platform using Amazon SageMaker
- Develop reusable infrastructure supporting model training, validation and deployment
- Configure SageMaker Pipelines and Model Registry
- Deploy scalable inference endpoints using SageMaker Endpoints
### LLM Infrastructure
- Deploy containerised AI workloads on Amazon EKS
- Build Retrieval-Augmented Generation (RAG) pipelines
- Integrate vector databases including Pinecone and Amazon OpenSearch Vector Engine
- Optimise GPU workloads for low-latency inference
### ML CI/CD
- Build CI/CD pipelines for machine learning using GitHub Actions
- Automate model testing, validation, deployment and rollback
- Implement model versioning and artifact management
- Standardise deployment workflows across engineering teams
### Monitoring & AI Operations
- Monitor model performance, latency and drift
- Implement observability using Amazon CloudWatch, Grafana, MLflow and LangSmith
- Build dashboards for production AI services
- Support incident management and model performance optimisation
### Governance
- Implement reproducible ML workflows
- Establish approval processes for production models
- Support AI governance, traceability and auditability
- Produce operational documentation and deployment standards
## **What We’re Looking For**
### Required Skills & Experience
- 5+ years of experience in MLOps or Machine Learning Engineering
- Strong experience with AWS AI services including:
- Amazon SageMaker
- Amazon EKS
- IAM
- CloudWatch
- S3
- Strong Kubernetes administration
- Python
- Docker
- Terraform
- GitHub Actions
- MLflow
- LangChain
- LangSmith
- Experience deploying LLMs in production
- Experience with vector databases
- Strong understanding of RAG architectures
- Excellent English communication skills
### Nice to Have
- Amazon Bedrock
- Hugging Face
- NVIDIA Triton Inference Server
- KServe
- Kubeflow
- Pinecone
- OpenSearch Vector Engine
- AWS Machine Learning Specialty Certification
## **Project Deliverables**
- Production-ready Amazon SageMaker platform
- Enterprise MLOps framework
- Automated ML deployment pipelines
- LLM inference platform
- AI monitoring dashboards
- Governance documentation
- Knowledge transfer to internal engineering teams
Senior MLOps Engineer – AWS AI Platform (Contract – 6 Months) employer: Talenzon group
At Talenzon group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior MLOps Engineer in our London office, you will benefit from a dynamic environment that encourages professional growth through hands-on experience with cutting-edge technologies like AWS and SageMaker. Our commitment to employee development, coupled with the vibrant city of London as your workplace, makes Talenzon an exceptional employer for those seeking meaningful and rewarding careers in AI and machine learning.
