> Markdown version of [/jobs/ext/3228243-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3228243-senior-machine-learning-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 Machine Learning Engineer

- **Company:** Qodea
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Natural Language Processing, NoSQL, Recommender Systems, Tensorflow, Search Technologies, SQL Databases, Data Storage Technologies, Pytorch, Apache Spark, Pandas, Scikit Learn, Apache Flink, Feature Selection, Machine Learning Operations, Serverless Computing
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840617525-senior-machine-learning-engineer

## About the Role

* Hands-on experience designing and deploying production-grade machine learning systems.
 * Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one-size-fits-all approach.
 * Proven experience in areas such as recommendation systems, personalization, natural language processing (NLP), or semantic search.
 * Expert-level programming skills in Python, with deep, hands-on experience using data science and ML libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
 * Experience with data storage technologies (e.g., SQL, NoSQL, key-value) and their scaling characteristics.
 * Experience with large-scale data processing technologies (e.g., Spark, Beam, Flink) and associated patterns (batch vs. stream), with a deep understanding of when to use them.
 * Experience using cloud platforms (e.g., GCP) at scale.
 * Experience deploying ML-based solutions at scale using cloud-native services.
 * Excellent communication and collaboration skills, with the ability to thrive in a fast-paced, cross-functional team environment.

## Description

We are looking for a Senior Machine Learning Engineer responsible for the end-to-end lifecycle of machine learning models that power core product features. You will design, build, and deploy innovative ML solutions that directly impact the user experience through personalization, recommendations, and intelligent systems., * Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics.

 * Apply expertise in statistical modeling and machine learning to perform deep data analysis, guide crucial feature selection, and identify opportunities for product improvement.
 * Own the full ML lifecycle, from breaking down discrete steps of a pipeline (e.g., with a DAG) to analyzing model implementations and improving their robustness in the wild.
 * Implement and manage robust model observability, tuning, and optimization processes to ensure sustained performance and accuracy post-deployment.
 * Develop and maintain data pipelines to process and prepare data for model training and evaluation.
 * Design and conduct A/B tests to evaluate model performance and its impact on key business metrics.
 * Collaborate closely with product managers and engineers to define problems and deliver effective AI-driven solutions.
 * Mentor other team members, champion best practices in machine learning engineering, and stay current with the latest advancements in the field.