Staff AI/ML Engineer

JR United Kingdom; Chelmsford; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

A leading tech company in London is seeking a highly experienced Staff-level AI/ML Engineer to lead the development of machine learning systems. You will work with large-scale data processing and generative AI, driving innovative AI tools in a flexible, hybrid environment. The role demands significant technical expertise and offers a competitive salary along with a range of benefits including generous leave and a collaborative culture.

Benefits

25 days annual leave + bank holidays

Home office setup budget

Enhanced parental leave

Pension contribution plan

Work from anywhere option

Qualifications

• 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.

Responsibilities

• Own the full lifecycle of machine learning initiatives.
• Architect scalable, reliable ML pipelines and APIs.
• Collaborate to embed AI-driven functionality into software.

Skills

Python

Machine Learning

AWS

Generative AI

CI/CD

Cloud Infrastructure

Education

Degree in Computer Science

Tools

Terraform

Docker

SQL

GitHub Actions

Job description

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Yes

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Job Views:

3

Posted:

10.06.2025

Expiry Date:

25.07.2025

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Job Description:

Location: London (Hybrid – 2 days/week in the office)

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.
• 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

• Python
• Java
• AWS (incl. services for AI/ML)
• LLM APIs and orchestration tools
• Terraform, Docker
• SQL-based databases
• GitHub Actions and version control tools
• Competitive compensation
• 25 days annual leave + bank holidays
• "Work from anywhere" option (limited days/year)
• Home office setup budget
• Enhanced parental leave
• Pension contribution plan
• Collaborative and low-ego engineering culture
• Applicants must be UK-based.
• Unfortunately, this position is not eligible for visa sponsorship.