At a Glance
- Tasks: Design and deploy cutting-edge AI systems for real-world challenges.
- Company: Innovative AI firm focused on advanced machine learning solutions.
- Benefits: Highly competitive salary, equity, private medical insurance, and free meals.
- Other info: Office-first role with opportunities for travel and significant career growth.
- Why this job: Join a dynamic team and make a real impact in AI technology.
- Qualifications: Experience in computer vision, robotics, and model optimisation.
The predicted salary is between 100000 - 160000 £ per year.
Want to build AI that operates in the real world - not just in a notebook? We’re looking for an exceptional AI Engineer to develop and deploy state-of-the-art machine learning systems tackling complex problems across computer vision, multimodal sensing, robotics and autonomy.
You’ll work end-to-end - from experimentation and model development through to deploying robust AI on cloud and resource-constrained edge hardware.
What you’ll do:
- Design, train and deploy deep learning models for challenging real-world problems
- Work across computer vision, multimodal AI, perception and autonomy
- Take models from research and experimentation into production
- Build end-to-end AI systems spanning sensor data through to the user
- Optimise models for performance on edge and resource-constrained hardware
- Work with large real-world and synthetic datasets
- Collaborate with strong software engineers to integrate ML into production systems
- Explore new approaches where existing techniques aren't good enough
We’d love to hear from people with experience in:
- Computer vision / robotics / autonomous systems
- Optimising models for GPUs or edge hardware
- Multimodal and vision-language models
- Synthetic data, simulation or large-scale real-world datasets
- Production MLOps and model monitoring
- Research published at venues such as CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS or TPAMI
What’s on offer:
- Highly competitive salary
- Generous equity
- 7% employer pension
- Private medical + dental insurance
- Free daily meals
- Relocation support
- Access to the equipment, resources and training you need
- Significant ownership in an ambitious, technically demanding engineering team
This is an office-first London role and involves working directly with customers, including regular UK travel and occasional international deployments. You’ll need existing UK Right to Work and be willing and eligible to undergo UK security vetting (SC or above).
Machine Learning Engineer | Competitive Compensation | Algorithms in London employer: Understanding Recruitment
As a leading GreenTech company based in London, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and sustainability. Our employees enjoy a competitive benefits package, flexible working arrangements, and ample opportunities for professional growth, all while contributing to impactful clean energy projects that make a difference in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer | Competitive Compensation | Algorithms 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 Understanding 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 Understanding 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 Understanding 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 Understanding 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 Machine Learning Engineer | Competitive Compensation | Algorithms 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 Understanding 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 Understanding 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 Understanding 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 Understanding 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.
