Machine Learning Engineer

Machine Learning Engineer | Contract 📍 Hybrid (2 days on-site) | London | 💰 £700/day (Inside IR35) | 📄 Contract About the Role I'm currently working with an exciting client who is looking for an experienced Machine Learning Engineer to join their team on a contract basis. You'll be designing and deploying ML models and pipelines at scale, working closely with data scientists, engineers, and stakeholders both on-site and remotely. Key Responsibilities • Design, build, and deploy machine learning models and pipelines into production • Develop and maintain Python-based ML solutions and supporting tooling • Leverage AWS cloud services to host, scale, and monitor ML workloads • Collaborate with data science teams to operationalise models (MLOps) • Contribute to CI/CD pipelines and best practices for ML deployments • Participate in architecture discussions and technical reviews Required Skills • Strong hands-on experience with Python for ML development • Proficient with AWS ML and cloud services (SageMaker, S3, Lambda, EC2, IAM, etc.) • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Familiarity with MLOps practices and tools (MLflow, Kubeflow, or similar) • Experience with data processing and feature engineering at scale • Strong communication and ability to work independently in a contract environment Nice to Have • Experience with LLMs, generative AI, or NLP pipelines • Familiarity with containerisation (Docker, Kubernetes/EKS) • AWS certifications (Machine Learning Specialty, Solutions Architect, etc.) • Knowledge of monitoring and observability tools (CloudWatch, Datadog, Grafana) Contract Details • Rate: £700/day • Engagement: Inside IR35 • Working pattern: Hybrid - 2 days per week on-site • Start date: ASAP / To be confirmed • Duration: Initial contract: 6 months rolling Interested? If this sounds like your next role, please get in touch or apply directly. I'd love to have a chat about the opportunity.