Senior Machine Learning Engineer

SR2 | Socially Responsible Recruitment | Certified B Corporation™; United Kingdom; Remote; GBP 60,000 - 100,000; Full time

Job summary

A leading tech company is seeking a Senior Recruitment Consultant specialized in Machine Learning and AI to spearhead the development of cutting-edge software solutions. This technical role emphasizes hands-on contributions to complex ML systems, with an opportunity to influence AI product strategies within a dynamic environment. The ideal candidate will possess extensive experience in ML development and a passion for AI innovation, working remotely from the UK.

Benefits

Work from anywhere option

Home office setup budget

Enhanced parental leave

Pension contribution plan

25 days annual leave + bank holidays

Qualifications

• 7+ years of hands-on experience in ML/AI systems.
• 3+ years in a senior role.
• Knowledge of LLMs and generative AI.

Responsibilities

• Lead the entire lifecycle of ML initiatives.
• Design scalable ML pipelines and APIs.
• Integrate AI features with engineering and product teams.

Skills

Advanced Python

Cloud Platforms

Data Processing

Machine Learning

Communication

Education

Degree in Computer Science or related field

Tools

AWS

Terraform

SQL

Job description

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SR2 | Socially Responsible Recruitment | Certified B Corporation provided pay range

This range is provided by SR2 | Socially Responsible Recruitment | Certified B Corporation. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation

Senior Recruitment Consultant - Machine Learning & AI Recruiter | Connecting Top Talent with Cutting-Edge Companies

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.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Software Development

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