At a Glance
- Tasks: Lead engineering teams to innovate and deliver impactful deep learning solutions.
- Company: Exciting machine learning startup transforming construction with cutting-edge technology.
- Benefits: Flexible remote work, competitive salary, and a relaxed, open culture.
- Other info: Join a dynamic team in a calm environment with excellent growth opportunities.
- Why this job: Make a real difference in global infrastructure projects while working with passionate techies.
- Qualifications: Strong leadership skills, experience in SaaS, and proficiency in Python and Go.
The predicted salary is between 90000 - 110000 £ per year.
Head of Engineering – Python Our client is a is a recently founded technology business that seeks to improve the way projects are delivered, using the power of deep learning.
They are funded by well known names in the PE space.
My client is all about making construction more predictable via a comprehensive understanding of plan outcomes, and a crucial part of that is being able to deliver deep insights for very large construction schedules.
They’re working on some of the largest infrastructure projects in the world, which means having the opportunity to have true impact on the world around us.
The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions.
The atmosphere is calm and relaxed with an open dress code.
This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about.
Day to day the Head of Engineering will: Push the Engineering department by the setting and achieving of engineering objectives and standards of performance.
Mentor and grow senior engineers, ensuring the continuous improvement of engineering practices.
Coordinate closely with Product and others to ensure the right teams deliver at the right pace.
Hiring and Development Architectural vision The Head of Engineering should have: Strong mathematical and statistical skills Experience managing engineering teams in developing and operating Saa S products in high-growth organisations.
A proven leader with experience inspiring and leading an agile team, passionate about team development and engagement.
Skilled in building bridges across the organisation and effectively managing a variety of internal stakeholders.
Familiarity with engineering tools & processes for agile development, such as Jira, Github, and CI/CD.
A background in requirements-driven architecture and system design in the cloud.
Experience with Python, and Go.
My client is based in the City of London but this is a Mostly Remote Role.
Head of Engineering – Machine learning startup in London employer: Quant Capital
Quant Capital is an excellent employer for those looking to thrive in the fintech sector, offering a vibrant work culture that fosters innovation and collaboration. With substantial training and development opportunities, employees can enhance their skills while enjoying a flexible hybrid work model in the heart of London. Join us to be part of a forward-thinking team that values growth and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Engineering – Machine learning startup in London
✨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 Quant Capital 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 Quant Capital.
✨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 Quant Capital.
✨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 Quant Capital 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 Head of Engineering – Machine learning startup in London
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 Quant Capital.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Quant Capital 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 Quant Capital
✨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 Quant Capital 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.
