Senior AI / ML Engineer
Location : UK Remote
Type : Permanent, Full-time
About the Role
An established tech company is building out its next generation of intelligent software products and is looking for a highly experienced Staff-level AI / ML Engineer to lead hands-on development of machine learning systems. This is a deeply technical role focused on applied AI, not management or strategy alone.
You’ll work at the intersection of large-scale data processing, generative AI, and cloud infrastructure, contributing directly to the architecture and delivery of smart features across the platform. If you’re passionate about building production-grade AI tools from the ground up, this role offers the opportunity to shape something new in a growing, fast-paced environment.
Key Responsibilities
End-to-End ML Development
- Own the full lifecycle of machine learning initiatives — from idea to deployment and monitoring.
Hands-On System Design
Architect scalable, reliable ML pipelines and APIs, leveraging cloud-native tools and services.AI Feature Integration
Collaborate with engineering and product teams to embed AI-driven functionality into user-facing software.Technical Leadership
Set standards for MLOps, automation, and performance tuning across the engineering team.Generative AI & LLMs
Explore and integrate modern techniques such as large language models and generative architectures.Mentorship & Collaboration
Support peers through code reviews, design discussions, and knowledge sharing.Scalability & Reliability
Solve practical challenges like data quality, explainability, and robust infrastructure for ML.What You’ll Bring
7+ years of hands-on experience building ML / AI systems in production.3+ years in a senior technical contributor or team lead role.Advanced Python skills with exposure to common ML frameworks and data libraries.Solid experience working with cloud platforms (ideally AWS) and infrastructure-as-code tools (e.g., Terraform).Understanding of distributed systems, microservices, and modern software architecture.Hands-on experience with LLMs and generative AI models, including tuning and inference.Ability to set up CI / CD pipelines for ML workflows and manage models in a cloud environment.Strong communication and stakeholder engagement skills.A relevant degree in Computer Science, Engineering, or a related field.Tech Environment
PythonJavaAWS (incl. services for AI / ML)LLM APIs and orchestration toolsTerraform, DockerSQL-based databasesGitHub Actions and version control toolsPerks & Benefits
Competitive compensation25 days annual leave + bank holidaysFlexible remote work policyWork from anywhere" option (limited days / year)Home office setup budgetEnhanced parental leavePension contribution planCollaborative and low-ego engineering cultureImportant Notes
Applicants must be UK-based.Unfortunately, this position is not eligible for visa sponsorship.