Bloomsbury Square, London, United KingdomSoftware Engineer – AI / ML / Python (Lead Level) at N Consulting Ltd

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 weeksJob 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 and 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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