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Senior Software Engineer - AI / ML

OpenAssetManchester, England, United Kingdom

9 days ago

Job type

Full-time

Job description

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We are looking for a UK based Senior Software Engineer - AI / ML to join our talented, dynamic, and rapidly growing global team.

Company Description

OpenAsset is the only Digital Asset Management solution built for the Architecture, Construction and Engineering industries. We have over 900 clients and 20 years of experience delivering value. Our vision is to inspire people through visualization of the built world.

We are a diverse group of hard-working and entrepreneurial people dedicated to solving complex challenges, working hard on meaningful projects, and celebrating our successes. We are looking for extraordinary people to join our industry-leading and incredibly talented team! Our inspirational and fun working environment, innovation-driven, fast-growing company, and ambitious projects are just a few reasons why you will love working here.

As a company we are passionate about ensuring that diversity and inclusion are championed, and that everybody has a seat at the table. We promote a culture where everyone feels valued, and we have adopted policies to ensure we hire from a diverse pool of candidates.

OpenAsset employs 85 people and is growing rapidly. OpenAsset has partnered with Marlin Equity Partners, an $8bn private equity fund, to help the business scale its sales, technical and management capacity to meet accelerating demand for its B2B SaaS product.

Description

Embark on an exciting journey as a Senior Software Engineer - AI / ML at OpenAsset, where you’ll play a pivotal role in shaping the future of AI / ML within our organization. In this hands-on technical role, you’ll not only drive the development of innovative machine learning models and AI-driven solutions, leveraging Python, Amazon Bedrock, and AWS technologies, but also lay the foundation for a new AI / ML pod and competency at OpenAsset.

You’ll help establish the team’s strategic vision, processes, and best practices. You’ll design and implement scalable, efficient, and maintainable AI / ML systems while setting the standard for excellence in model deployment, data pipeline optimization, and MLOps. Beyond writing exceptional code, your leadership will be key in building a high-performing team, mentoring engineers, and tackling complex technical challenges.

If you’re passionate about AI and how to build AI-based products for customers, building products from the ground up, and delivering impactful solutions, we invite you to take on this foundational role. Join us to make a lasting impact on our products, our people, and the future of AI / ML at OpenAsset.

Responsibilities

As a Senior Software Engineer - AI / ML, your day-to-day activities will center on technical leadership, effective communication, and a hands-on approach to delivering innovative AI / ML solutions. You’ll play a key role in shaping the success of the AI / ML team and driving impactful outcomes for the company.

Project Ownership

Lead the design, planning, estimation, and coordination of AI / ML initiatives across multiple releases, including model development, data pipelines, and deployment.
Take ownership of the entire lifecycle of AI / ML systems, from experimentation to production, ensuring timely and high-quality delivery.
Partner with Product and Engineering teams to integrate AI / ML capabilities into company-wide projects, addressing cross-functional challenges.
Collaborate with Product, Engineering, DevOps, and other teams to ensure seamless data flow, model deployment, and system integration.

Technical Leadership

Provide strategic technical guidance on AI / ML frameworks, tools, and best practices that align with the company’s goals.

Research and propose advanced machine learning techniques and cloud-native AI services, including LLMs and Amazon Bedrock, to enhance our capabilities.

Communication and Mentorship

Foster a collaborative environment by communicating effectively across technical and non-technical teams.

Mentor and guide team members through code reviews, technical coaching, and knowledge sharing, building a culture of continuous learning.

Strategic Problem Solving

Proactively identify challenges in AI / ML workflows and propose innovative, scalable solutions.

Define and refine methods and procedures to optimize model performance, system efficiency, and team productivity.

Model Performance, Reliability, and Compliance

Drive initiatives to improve model accuracy, scalability, and reliability while adhering to privacy, security, and compliance standards.

Take a leading role in addressing issues related to data quality, bias mitigation, and model interpretability with minimal oversight.

Documentation and Knowledge Sharing

Ensure comprehensive documentation of models, algorithms, and system architecture to support team-wide knowledge sharing.

Maintain and enhance AI / ML playbooks and best practices to streamline onboarding and continuous improvement.

Skills and Experience

5+ years of experience in AI / ML engineering, including building and deploying machine learning models in production environments.

Expert proficiency in programming languages such as Python, with a focus on data engineering / science, machine learning, and MLOps workflows.

Deep understanding of AI / ML systems architecture, including experience with distributed systems and large-scale data pipelines.

Strong expertise in deploying and managing AI / ML models in cloud environments, with hands-on experience using AWS services such as Amazon Bedrock, SageMaker, and related tools.

In-depth knowledge of machine learning algorithms and frameworks, including experience with LLMs and fine-tuning pre-trained models.

Experience with microservices architecture and CI / CD pipelines for AI / ML model deployment, ensuring scalability, reusability, and testability.

Proven ability to mentor and guide engineers, fostering growth and technical excellence without formal direct reporting relationships.

Strong collaboration skills, working cross-functionally with Engineering, DevOps, and Product teams to deliver impactful AI / ML solutions.

Experience with Agile / Scrum methodologies, effectively managing sprints and delivering iterative improvements.

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.

Technologies we use

Python

Bedrock

Java

Terraform

Docker

MySQL

Github (and Github actions)

8 bank holidays

Work from home flexibility

Paid parental leave

5-Day Working Abroad Policy per year

Pension program

Bike storage / shower facilities in building

Career growth and development opportunities

This position is not eligible for visa sponsorship.

Axomic is an Equal Opportunity Employer. We base our employment decisions entirely on business needs, job requirements, and qualifications—we do not discriminate based on race, gender, religion, health, parental status, personal beliefs, veteran status, age, or any other status. We have zero tolerance for any kind of discrimination, and we are looking for candidates who share those values. Applications from women and members of underrepresented minority groups are welcomed.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Software Development

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Senior Software Engineer • Manchester, England, United Kingdom