At a Glance
- Tasks: Build and maintain AI infrastructure, empowering a team of over 100 Data Scientists.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Unlimited annual leave, private healthcare, flexible working, and coaching support.
- Other info: Embrace a culture of diversity and inclusion with excellent career growth opportunities.
- Why this job: Join a passionate team and shape the future of machine learning products.
- Qualifications: Experience in Python or Go, containerisation, and Infrastructure-as-Code.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
As a Software Engineer in the AI Platform team, you will be the architect of the infrastructure that makes world‑class AI possible. Working closely with the Applied AI team, you’ll be building and maintaining the data science, MLOps, and deployment tooling that empowers our team of over 100 Data Scientists and Engineers. You will take ownership of the platform that enables us to transition from complex exploration to full‑stack, production‑grade machine learning products, ensuring our solutions are high‑performing, scalable, and seamlessly integrated into diverse client environments.
What you’ll be doing:
- Taking ownership of our existing deployment and MLOps tooling to ensure our software delivery remains a significant lever for quality and reliability.
- Contributing to the continuous evolution of our technology stack, from building new features in our notebook development environments to refining model monitoring systems.
- Collaborating with a small, fast‑moving team of customer‑facing technologists to design and build the infrastructure our delivery teams need to succeed.
- Designing and implementing infrastructure‑as‑code and DevSecOps processes to support distributed, containerised microservices architectures.
- Integrating our core platform services across multiple cloud environments, including AWS, Azure, and GCP, to provide flexible solutions for our global clients.
- Scaling our internal enablement capabilities, acting as an entrepreneurial force that removes technical friction and accelerates the deployment of machine learning.
Who we’re looking for:
- You are a Software Engineer who is passionate about building internal tools and takes pride in creating the foundational systems that enable others to excel.
- You understand the nuances of the machine learning product lifecycle and have a clear vision for how to move models efficiently from exploration to production.
- You possess modern systems programming skills in Python or Go, and you are comfortable selecting the best‑fit technology for complex infrastructure challenges.
- You bring practical experience with containerisation and orchestration, specifically using Docker and Kubernetes to manage distributed systems at scale.
- You have a strong background in Infrastructure‑as‑Code (IaC) using tools like Terraform or CloudFormation, combined with a deep interest in DevSecOps practices.
- You thrive in small, ambitious teams where you can take high levels of ownership and communicate effectively with both technical and non‑technical peers.
Benefits:
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family‑Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working
We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Software Engineer (AI Platform) employer: Dormont Manufacturing Co
As a Software Engineer in the AI Platform team, you will join a dynamic and innovative work culture that prioritises collaboration and personal growth. With benefits like unlimited annual leave, private healthcare, and family-friendly flexibility, we empower our employees to thrive both professionally and personally. Located in a vibrant tech hub, this role offers unique opportunities to work on cutting-edge AI solutions while being part of a supportive team that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (AI Platform)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s tech stack. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Software Engineer (AI Platform)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your experience with Python or Go, containerisation, and any relevant MLOps tools to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building internal tools and how your vision aligns with our mission. Share specific examples of your past work that demonstrate your ownership and problem-solving skills.
Showcase Your Projects:If you've worked on any projects related to machine learning, infrastructure-as-code, or DevSecOps, make sure to include them! We love seeing practical applications of your skills, so don’t hold back on the details.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Go, Docker, and Kubernetes. Brush up on your knowledge of Infrastructure-as-Code tools like Terraform or CloudFormation, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to MLOps and deployment tooling. Be ready to explain how you approached these problems and what solutions you implemented, highlighting your ownership and impact.
✨Understand the Machine Learning Lifecycle
Familiarise yourself with the nuances of moving models from exploration to production. Be prepared to discuss how you can contribute to this process and improve the efficiency of the AI Platform team’s workflow.
✨Communicate Effectively
Since you'll be collaborating with both technical and non-technical peers, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between different teams and ensure everyone is on the same page.
