> Markdown version of [/jobs/ext/2738732-senior-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2738732-senior-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer - **Company:** Williams Lea - **Location:** UK (Remote available) - **Experience:** Expert - **Salary:** £70,000.0 - £80,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Data Cleansing, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Azure Machine Learning, Enterprise Software Applications, Feature Engineering, Pytorch, Large Language Models, IT Architecture, Generative AI, Backend, Event Driven Architecture, AI Platforms, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Information Technology, HuggingFace, Xgboost, Machine Learning Operations, Functional Programming, Cloudwatch, Restful APIs, Terraform, Software Version Control, Docker - **Published:** September 6, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5872124080 ## About the Role * Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or related field. * Strong proficiency in Python programming. * Experience in Machine Learning model development and deployment. * Hands-on experience with cloud platforms such as AWS and/or Azure. * Experience with SageMaker, Bedrock, Azure ML, or equivalent ML platforms. * Strong understanding of ML lifecycle, MLOps, CI/CD, and model monitoring. * Experience with REST APIs, event-driven architectures, and distributed systems. * Knowledge of Docker, Kubernetes, Terraform, or infrastructure automation tools is preferred. * Experience with Generative AI, LLMs, LangChain, LangGraph, or RAG systems is an advantage. * Strong analytical, problem-solving, and communication skills ## Description We are seeking a highly skilled Senior ML Engineer with a minimum of 6 years of experience to design, develop, deploy, and maintain scalable Machine Learning and Generative AI solutions for enterprise and client facing applications. The role involves working on end-to-end ML pipelines, LLM integrations, cloud-native AI platforms, and production grade AI systems across AWS and Azure environments. The ideal candidate should possess strong experience in Python development, ML model deployment, cloud technologies, MLOps practices, and production AI systems. The recruitment process will involve an initial 45 minutes MS teams interview to understand suitable skills and experience, successful applicant will be invited to a 45 minutes technical assessment which will involve a deployment/coding followed by panel questions and answers., * Design, build, and deploy scalable ML and Generative AI solutions in production environments. * Develop end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. * Integrate LLMs and AI services into enterprise applications and workflows. * Work with cloud-native AI services including AWS SageMaker, Bedrock, Lambda, S3, CloudWatch, and Azure ML * Develop and optimize ML models using Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, or Hugging Face frameworks. * Implement MLOps best practices including CI/CD pipelines, model versioning, automated testing, monitoring, and governance. * Collaborate with Data Scientists, Platform Engineers, Backend Teams, Product Owners, and Solution Architects. * Support production releases, troubleshooting, model monitoring, and performance optimization activities. * Ensure compliance with enterprise security, governance, and responsible AI standards. * Contribute to AI architecture discussions, technical documentation, and solution design. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)