Machine Learning Engineer in Southampton

We are seeking a highly skilled Machine Learning Engineer to design, build, deploy, and optimise machine learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK.

Key Responsibilities

• Machine Learning Model Development
  • Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases.
  • Apply supervised, unsupervised, and deep learning techniques as appropriate.
  • Perform feature engineering, model tuning, and validation to improve accuracy and performance.
• Productionisation & Deployment
  • Deploy ML models into production using scalable, reliable architectures.
  • Build and maintain APIs or batch pipelines for model inference.
  • Monitor model performance, data drift, and retraining needs.
• Data Engineering & Pipelines
  • Collaborate with data engineers to design efficient data ingestion and transformation pipelines.
  • Work with structured and unstructured data from databases, APIs, and data lakes.
  • Ensure data quality, reproducibility, and versioning.
• MLOps & Automation
  • Implement MLOps practices including CI/CD for ML, model versioning, and experiment tracking.
  • Use tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
  • Automate model training, testing, deployment, and monitoring workflows.
• Cloud & Infrastructure
  • Build ML solutions on cloud platforms such as AWS, Azure, or GCP.
  • Use containerization and orchestration tools (Docker, Kubernetes).
  • Optimize compute costs and performance for training and inference workloads.
• Collaboration & Stakeholder Engagement
  • Work closely with Data Scientists, Product Managers, Software Engineers, and Analysts.
  • Translate business requirements into scalable ML solutions.
  • Communicate model behaviour, limitations, and results clearly to non-technical stakeholders.
• Research & Continuous Improvement
  • Stay current with advancements in machine learning, AI, and data science.
  • Evaluate new algorithms, tools, and frameworks for potential adoption.
  • Contribute to best practices, documentation, and knowledge sharing.

Required Skills & Experience

• Core Technical Skills
  • 3+ years of experience in Machine Learning, Data Science, or related roles.
  • Strong programming skills in Python.
  • Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost.
  • Solid understanding of ML algorithms, statistics, and evaluation metrics.
  • Experience deploying ML models into production environments.
• Data & Engineering Skills
  • Strong SQL skills and experience working with large datasets.
  • Familiarity with data processing tools (Pandas, NumPy, Spark).
  • Experience building APIs (FastAPI, Flask) for ML services.