Oho Group
Computer Vision / ML Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Computer Vision / ML Engineer
Location: London | Type: Hybrid | Compensation: Competitive Salary + Equity
About the Role
We're building technology for the next generation of defence and autonomous systems. The problems we're solving sit across computer vision, machine learning, sensors, robotics, and algorithms, with everything we build ultimately being used in the real world.
We're looking for a Computer Vision / ML Engineer to join our growing AI team. This is a hands-on engineering role for someone who enjoys taking difficult, ambiguous problems and turning them into working systems that actually get deployed. A lot of what you'll work on won't have a ready-made solution. You'll need to experiment, build, test, and iterate — combining modern ML with traditional computer vision and algorithms to find an approach that works.
Why You Should Join Us
- Solve Unsolved Problems: You'll solve problems that haven't already been solved. Our customers come to us with complex real-world problems, often involving imperfect sensor data, unusual environments, and significant constraints. Your job is to figure out how to solve them.
- Build for Production: This isn't a research role where your work disappears into a paper or stays as a prototype. The things you build will become part of production systems used by real customers. You'll take problems from an initial idea through experimentation, implementation, testing, and deployment.
- See Your Work in Action: You'll also work directly with customers. Rather than receiving a requirements document and disappearing into the engineering team, you'll have the opportunity to understand the problem first-hand, build a solution, and then go and see it being used. That means some travel to customer sites in the UK and occasionally internationally.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Work on computer vision and scene understanding
- Develop object detection and tracking systems
- Handle sensor fusion and multi-modal data
- Perform image and signal processing
- Optimize algorithms
- Develop control and path planning systems
- Implement machine learning models
- Work on AI running on resource-constrained systems
What We're Looking For
- An MSc, MEng, or equivalent in Computer Science, AI, Machine Learning, Robotics, Engineering, or a related technical subject
- Several years of experience applying ML/AI to real-world problems
- Strong experience in computer vision, algorithms, or related areas
- Strong programming ability in Python, C++, Rust, or Java
- Experience with frameworks such as PyTorch, TensorFlow, or JAX
- Strong mathematical and problem-solving fundamentals
- An interest in combining machine learning with traditional algorithms and engineering techniques
- The ability to communicate technical ideas clearly and work directly with customers and engineers


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable but not essential:
- Experience with sensor fusion, simulation, synthetic data, MLOps, or deploying models to resource-constrained hardware
What You'll Get
- Highly competitive salary
- Meaningful equity
- 7% employer pension contribution
- Private healthcare and dental
- Free meals in the office
- Relocation support
- The equipment, compute, and resources you need to do your best work
- A highly technical and collaborative engineering environment
- The opportunity to work directly with customers
- UK and international travel
We're looking for someone who gets excited by problems where there isn't an obvious answer. If you want to combine ML, computer vision, and algorithms to build things that haven't been done before — and then see those things actually deployed in the real world — we'd like to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location