InstaDeep
Senior Research Engineer in Reinforcement Learning

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About Applied AI
The Applied AI team at InstaDeep creates optimization solutions for large scale real-world industrial problems. Each solution is built to be ready for full production use by our clients and it is the Applied AI team that owns all stages of this lifecycle:
- Research Engineering builds the AI optimization systems
- MLOps sets up the training and inference infrastructure
- Software teams build graphical user interfaces and API servers
These teams work together to provide the end-to-end capabilities required to create scalable and high-performing optimization tools for the end user, all done 100% within InstaDeep. Our work spreads across many industries - from Energy to Logistics to Production Optimization, there are plenty of interesting topics!
What does a working day look like
Research Engineers at InstaDeep work closely with our clients to build a deep understanding of the use case and the constraints the operational experts face in their daily operations.
One of the core responsibilities of a Research Engineer is then to translate this industrial knowledge into optimization problem statements.
On a daily basis, you will be working with your InstaDeep colleagues to:
- Brainstorm, prototype new research ideas
- Iterate and improve on existing implementations by running large-scale experiments and deploying high-quality engineering
You will also have access to InstaDeep’s powerful compute resources (as of 2024 among the top 20 H100 GPU clusters), enabling you to efficiently train models and accelerate innovation.
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.
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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.
There are also opportunities to engage in pre-sales activities and to support our Business Development team with your acquired unique combination of domain knowledge and AI expertise.
Requirements
- Several years of professional experience in AI Research, Applied AI/ML or Mathematical Optimization and / or track record of leading AI teams and large-scale projects.
- Proven experience in software development in Python, ideally in projects with codebases of production-grade quality, multiple contributors and version control.
- Candidates must have the right to work in the UK. Visa sponsorship is not available for this role.
- Attendance in the office for 3 days a week mandatory, we do not offer remote roles.
Nice to have
- Several years of professional experience in Reinforcement Learning and / or dealing with combinatorial optimization problems.
- Hands-on experience in high-performance computing environments (Kubernetes, Ray etc)
- Experience in pre-sales and business development.
- Domain expertise in the industries of Supply Chain, Manufacturing, Aviation, Energy.
Benefits
- Time to dedicate to personal development, as well as InstaDeep-provided education opportunities
- Long-term incentive stock plans
- Private Health insurance
- Monthly Gym allowance
About us
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Kigali, Cape Town, New York, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.


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Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.
Right to work
Please note that you will require the legal right to work without visa sponsorship in the location you are applying for. We do not sponsor work visas.
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