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ML​/AI Engineer – Python

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: SR2 REC LTD
Full Time position
Listed on 2026-02-28
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: ML / AI Engineer – Python
Location: Greater London

ML / AI Engineer - Python

We're supporting an innovative AI-focused organisation building cutting‑edge machine learning solutions to solve complex, real‑world problems. As they continue to scale their product and engineering capability, they're looking for an experienced ML / AI Engineer with strong Python expertise to play a key role in designing and deploying intelligent systems.

The Role

You'll be working at the heart of an AI‑driven product team, developing, training and deploying machine learning models into production environments. This is a hands‑on engineering role where you'll bridge the gap between research and scalable, production‑ready AI systems.

You’ll collaborate closely with data scientists, software engineers and product teams to translate business challenges into robust ML solutions.

Key Responsibilities
  • Design, develop and deploy ML/AI models using Python
  • Build and optimise data pipelines to support model training and inference
  • Product ionise models and integrate them into scalable applications
  • Work with large, structured and unstructured datasets
  • Monitor, evaluate and continuously improve model performance
  • Contribute to architecture decisions around ML infrastructure and tooling
Essential
  • Strong commercial experience with Python
  • Proven experience building and deploying ML models in production
  • Solid understanding of machine learning algorithms and statistical principles
  • Experience with ML libraries/frameworks (e.g. Tensor Flow, PyTorch, scikit‑learn)
  • Experience working with cloud platforms (AWS, Azure or GCP)
  • Familiarity with containerisation (Docker) and CI/CD practices
  • Strong problem‑solving skills and ability to work in a fast‑paced environment
Desirable
  • Experience with MLOps tooling (MLflow, Kubeflow, Airflow etc.)
  • Knowledge of LLMs, NLP, or generative AI use cases
  • Experience with distributed data processing (Spark, Ray etc.)
  • Exposure to Kubernetes and scalable ML infrastructure
The Details

Contract role
IR35 status:
Outside IR35
Rate: #removed#p/d

Location:

Remote

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