Staff AI/ML Engineer

JR United Kingdom; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An innovative software business is seeking a Staff Software Engineer specializing in AI/ML to lead the development of scalable machine learning systems. This role offers the chance to shape the future of intelligent product capabilities, focusing on applied machine learning and generative AI. You'll work in a collaborative environment, driving projects from inception through deployment, while mentoring peers and fostering a culture of innovation. Join a forward-thinking company that values your expertise and offers a competitive salary and generous benefits, including flexible work options.

Benefits

Competitive salary package

25 days holiday

Parental leave support

Work-from-anywhere for up to 5 days a year

Remote work budget

Qualifications

• 7+ years of hands-on experience in AI/ML with production-level deployment.
• 3+ years in a senior or lead technical position in a SaaS environment.
• Strong command of Python and relevant libraries for machine learning.

Responsibilities

• Lead the delivery of machine learning initiatives from exploration to deployment.
• Work closely with Product, Engineering, and DevOps teams to integrate AI features.
• Define best practices for MLOps and support team growth through mentoring.

Skills

Python

Machine Learning

AWS

Data Engineering

Java

Terraform

Docker

MySQL

GitHub

Education

Degree in Computer Science

Degree in Engineering

Degree in Data Science

Tools

AWS (including Bedrock)

Terraform

Docker

GitHub Actions

Job description

Social network you want to login/join with:

SR2 | Socially Responsible Recruitment | Certified B Corporation

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

4

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

Location: London (2 days a week in the office)

Employment Type: Full-time

About the Company:

A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level.

The Role:

This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development.

You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges.

What You'll Be Doing:

AI/ML Project Ownership

• Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring.
• Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment.

Cross-functional Collaboration

• Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform.
• Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts.

Technical Leadership

• Define best practices for MLOps, model deployment, and performance tuning.
• Evaluate and implement new frameworks, tools, and cloud-native AI solutions (including LLMs).
• Make strategic technical decisions that align with broader business goals.
• Support the growth of others through coaching, peer programming, and technical reviews.
• Share learnings and help foster a culture of innovation and experimentation.

Problem Solving at Scale

• Tackle challenges related to data quality, interpretability, bias, and reliability.
• Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable.
• Contribute to internal documentation and knowledge sharing resources.
• Refine and evolve ML playbooks and processes to support a growing team and evolving product needs.

Requirements:

• 7+ years of hands-on experience in AI/ML, including production-level deployment.
• 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment.
• Strong command of Python and relevant libraries for machine learning, data engineering, and automation.
• Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as-code tools like Terraform.
• Solid understanding of large-scale data pipelines, distributed systems, and microservice architectures.
• Comfortable working with LLMs, model fine-tuning, and building features powered by generative AI.
• Experience setting up CI/CD pipelines for ML workflows and maintaining scalable systems in the cloud.
• A proven track record of mentoring peers and leading by example.
• Strong communication and stakeholder engagement skills.
• A degree in Computer Science, Engineering, Data Science, or a similar field.
• Python
• Java
• AWS (including Bedrock)
• Terraform
• Docker
• MySQL
• GitHub & GitHub Actions

Perks and Benefits

• Competitive salary package
• 25 days holiday (Not including bank holidays)
• Parental leave support
• Work-from-anywhere for up to 5 days a year
• “Getting Started” remote work budget
• And more
• Unfortunately, we are not able to offer visa sponsorship for this role.