Software Engineer – AI / ML / Python (Lead Level)

Software Engineer – AI / ML / Python (Lead Level)

Posted 1 week ago by Natobotics

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Negotiable
Undetermined
Hybrid
London, England, United Kingdom
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Agile Methodology Airflow Algorithms Amazon Web Services (AWS) Apache Airflow Application Programming Interface (API) Artificial Intelligence AWS SageMaker Azure Kubernetes Service Cloud Computing Cloud Technology Computer Science Continuous Integration and Continuous Delivery Data Engineering Data Privacy Laws Deep Learning Docker (Software) Financial Technology (FinTech) Google Cloud Platform (GCP) Intelligent Systems Kubernetes Machine Learning Machine Learning Algorithms Microservices Microsoft Azure Natural Language Processing NumPy Pandas (Python Package) Python (Programming Language) PyTorch (Machine Learning Library) Scikit-learn (Machine Learning Library) Snowflake (Data Warehouse) Software Development Software Engineering Stakeholder Management Statistical Methods Systems Design TensorFlow Version Control

Summary: The role of Lead Software Engineer focuses on leading the design, development, and deployment of AI and ML systems using Python for a prominent client in London. The ideal candidate will possess extensive experience in AI/ML frameworks and scalable system design, along with a strong leadership background in agile environments. This position requires collaboration with cross-functional teams to create production-grade applications and optimize model performance. The role also involves mentoring junior engineers and ensuring compliance with data privacy regulations.

Key Responsibilities:

  • Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design.
  • Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks.
  • Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications.
  • Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment).
  • Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making.
  • Implement MLOps pipelines for continuous training, deployment, and monitoring of models.
  • Ensure compliance with data privacy and security regulations (GDPR, etc.).

Key Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
  • 7+ years of professional software development experience, with at least 3 years in AI/ML.
  • Strong proficiency in Python, including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.
  • Solid understanding of ML algorithms, NLP, deep learning, and statistical methods.
  • Experience with Docker, Kubernetes, and cloud platforms like AWS/Azure/GCP.
  • Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and version control systems.
  • Strong knowledge of APIs, microservices architecture, and CI/CD pipelines.
  • Proven experience in leading teams, managing stakeholders, and delivering end-to-end AI/ML projects.

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title Software Engineer – AI / ML / Python (Lead Level)

Location: London, United Kingdom (Hybrid – 2-3 days onsite per week)

Contract Type Contract (6 months, with extension likely)

Start Date Immediate / Within 2-4 weeks

Job Description We are seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading client in London. The ideal candidate will have a strong background in AI/ML frameworks, scalable system design, and Python-based development, along with leadership experience in agile teams.

Key Responsibilities

  • Lead the architecture and development of AI/ML solutions, ensuring scalable and efficient design.
  • Design and implement ML models and algorithms (classification, regression, NLP, etc.) using modern frameworks.
  • Collaborate with data scientists, engineers, and product teams to transform prototypes into production-grade applications.
  • Optimize model performance and manage end-to-end ML lifecycle (data ingestion, training, evaluation, deployment).
  • Mentor junior engineers and contribute to code reviews, best practices, and technical decision-making.
  • Implement MLOps pipelines for continuous training, deployment, and monitoring of models.
  • Ensure compliance with data privacy and security regulations (GDPR, etc.).

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or related field.
  • 7+ years of professional software development experience, with at least 3 years in AI/ML.
  • Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch .
  • Solid understanding of ML algorithms , NLP , deep learning , and statistical methods.
  • Experience with Docker, Kubernetes , and cloud platforms like AWS / Azure / GCP .
  • Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc.) and version control systems.
  • Strong knowledge of APIs, microservices architecture, and CI/CD pipelines.
  • Proven experience in leading teams, managing stakeholders, and delivering end-to-end AI/ML projects.

Nice To Have

  • Exposure to LLMs (Large Language Models), generative AI , or transformer architectures .
  • Experience with data engineering tools (Spark, Airflow, Snowflake).
  • Prior experience in fintech, healthtech, or similar domains is a plus.
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