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# Machine Learning Engineer

- **Company:** Anson McCade
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Data Governance, Monitoring of Systems, Python (Programming Language), Machine Learning, Cloud Services, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Cloudformation, Scikit Learn, Kubernetes, Infrastructure Automation Frameworks, Xgboost, Performance Monitor, Dask, Machine Learning Operations, Terraform, Software Version Control, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.totaljobs.com/job/machine-learning-engineer/anson-mccade-job107740003

## About the Role

* Strong experience developing and deploying Machine Learning models using Python
 * Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost
 * Knowledge of AWS cloud services including SageMaker, Lambda and S3
 * Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control
 * Experience designing, testing and evaluating machine learning experiments
 * Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures
 * Experience with LLMOps tools such as LangChain, LangSmith or LangGraph
 * Strong understanding of model monitoring, validation and governance
 * Excellent communication and stakeholder management skills
 * Ability to translate complex technical concepts into business value

Desirable Experience

 * Advanced LLM techniques including agents and autonomous workflows
 * Vector databases such as Pinecone, Weaviate or pgvector
 * Docker, Kubernetes, ECS or containerised deployments
 * Infrastructure as Code tools including Terraform or CloudFormation
 * Large-scale data processing technologies such as Spark or Dask
 * Experience working within regulated or highly secure environments
 * Knowledge of data governance and compliance frameworks, If you're passionate about AI, Machine Learning and Generative AI, and want to work on projects that make a genuine impact while developing cutting-edge solutions, we'd love to hear from you.

## Description

* Design, develop and deploy machine learning models across a range of use cases
 * Build and implement Generative AI and LLM-powered solutions
 * Lead experimentation cycles, including hypothesis development, testing and evaluation
 * Transition successful models from proof of concept into production environments
 * Develop scalable ML pipelines using AWS cloud technologies
 * Implement MLOps and LLMOps best practices for deployment, monitoring and governance
 * Support feature engineering, model optimisation and performance monitoring
 * Apply responsible AI principles, including model explainability and fairness
 * Present findings and recommendations to technical and non-technical stakeholders
 * Mentor junior team members and support capability development


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