At a Glance
- Tasks: Lead a squad of engineers to develop high-performance AI/ML SaaS solutions.
- Company: Join a forward-thinking tech company focused on innovation and excellence.
- Benefits: Competitive salary up to £120k, remote work options, and career growth opportunities.
- Other info: Dynamic environment with a focus on operational excellence and collaboration.
- Why this job: Make a real impact in AI/ML while leading a talented team.
- Qualifications: Experience in Python, AWS, and managing high-performing engineering teams.
The predicted salary is between 84000 - 120000 £ per year.
We’re hiring a Hands‑On Engineering Manager with deep technical leadership experience across Python, large‑scale data systems, and modern AWS infrastructure. You’ll lead a squad of 4 engineers, guiding them through complex technical decisions and helping them deliver high‑performance, data‑intensive systems operating over hundreds of millions to billions of rows. The product itself is an AI/ML‑driven SaaS platform, and your contributions will train new models, enabling new features and having large greenfield elements to it. This role blends hands‑on technical context with people leadership, delivery focus, and architectural oversight. You’ll drive engineering excellence, ensure high reliability, and cultivate a culture that values clarity, ownership, and strong execution.
What You’ll Be Doing
- Lead and develop a squad of 4 engineers, supporting growth, coaching, and high‑quality delivery.
- Set technical direction across Python services, distributed systems, and large‑scale data processing.
- Work heavily with AWS – especially Redshift, Lambda, ECS, S3, plus data formats like Parquet.
- Shape high‑throughput data pipelines and SQL‑based workflows, ensuring scalability and performance.
- Run technical design reviews, guide architecture decisions, and support engineers in navigating trade‑offs around performance, cost, and reliability.
- Champion operational excellence – strong observability, testing discipline, incident response, and SLO ownership.
- Collaborate with Product & Design to define technical requirements, prioritise road‑maps, and drive measurable outcomes.
Tech Environment You’ll Influence
- Primary language: Python
- AWS stack: Redshift, Lambda, ECS, S3
- Scale: systems processing hundreds of millions to billions of rows
- Focus areas: performance tuning, reliability, cost optimisation, architectural clarity
What You’ll Bring
- Prior experience as an Engineering Manager or Tech Lead managing small, high‑performing engineering teams.
- Strong technical background in Python, large‑scale data systems, and cloud‑native architectures (ideally AWS).
- Experience owning and improving complex data pipelines and high‑throughput systems.
- Ability to coach engineers across multiple levels while maintaining hands‑on architectural and design credibility.
- Excellent delivery management – simplifying ambiguity, unblocking dependencies, and driving predictable execution.
What Success Looks Like
- Your squad of 4 consistently delivers high‑quality software and scalable data pipelines with predictable velocity.
- Clear improvements in system reliability, throughput, and cost efficiency.
- Strong engineering discipline across design, testing, observability, and incident management.
- Improved technical foundations and reduced operational toil.
- Clear, thoughtful communication and alignment across engineering, product, and design.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Staffing and Recruiting
Engineering Manager (Python) - AI/ML SaaS Platform employer: Creo Recruitment
Join a forward-thinking company that values innovation and collaboration, where as an Engineering Manager, you'll lead a talented team in developing cutting-edge AI/ML SaaS solutions. With a strong emphasis on professional growth, we offer extensive training opportunities and a supportive work culture that encourages creativity and technical excellence. Located in a vibrant tech hub, our workplace fosters a dynamic environment that promotes work-life balance and employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager (Python) - AI/ML SaaS Platform
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Creo Recruitment or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Creo Recruitment.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Creo Recruitment.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Creo Recruitment that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Engineering Manager (Python) - AI/ML SaaS Platform
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Creo Recruitment.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Creo Recruitment and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Creo Recruitment
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Creo Recruitment uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
