Senior AI/ML Engineer

Data Science, AI & Machine Learning Consultant at La Fosse

Location: Croydon or Manchester, UK

I’m seeking an experienced Senior AI/ML Engineer to join a high-performing, multi-disciplinary technology team building cutting‑edge intelligence and data products. You’ll work with complex datasets, modern cloud technologies, and advanced data processing approaches to create scalable, high‑impact systems that transform raw information into actionable insight.

What You’ll Do

• Work within an Agile team to design, develop, test, and deliver high‑quality applications and services.
• Apply deep expertise in one or more of the following:
• RDF/graph technologies (e.g., GraphDB)
• AI/ML platforms (e.g., SageMaker, Bedrock)
• Search technologies (e.g., Solr, OpenSearch, Elasticsearch)
• Cloud‑based data pipeline engineering (AWS)

Produce clean, testable, maintainable code that supports incremental innovation.

Build and maintain robust data pipelines, ensuring quality, accuracy, security, and strong data governance.

Deliver high‑quality data systems across multiple formats and delivery cadences.

Create best‑in‑class API experiences for internal and external data consumers.

What You Bring

• 6+ years’ experience in software/ML engineering with ownership of outcomes and standards.
• End‑to‑end ML engineering experience, with deployment exposure.
• Strong problem‑solving ability and a passion for raising engineering quality.
• Expertise in cloud technologies, especially AWS.
• Solid understanding of SDLC and modern CI/CD practices.
• Experience designing scalable systems and serverless architectures.

Why Join

You’ll work on complex, meaningful challenges that require real innovation—leveraging AI, ML, graph technologies, search platforms, event processing, geospatial systems, and a wide range of AWS services. The environment combines disciplined engineering with genuine autonomy, collaboration, and a strong sense of purpose.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology and Engineering

Industries

Defense and Space Manufacturing, Data Infrastructure and Analytics, and Software Development

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