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Working at CreateFuture
CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside organisations such as PayPal, adidas, NatWest, FanDuel and Money Saving Expert, building digital products and services that make a difference while always putting people first.
We’re a team of creators. We write code, shape delivery, build go-to-market strategies, develop AI solutions and create the practices that support our people. We work side by side with our clients, challenging what’s not working and helping them to build the future. Our commitment to craft, quality, and culture has helped us scale to over 600 people in just a few years.
Our UK Benefits
- 35 days leave (including bank holidays).
- Private medical insurance.
- Enhanced parental and adoption leave.
- Financial coaching + 5% pension match.
- 40 hours of paid learning and development.
View our full list of UK benefits.
CreateFuture is a Great Place to Work-Certified™ company and has won Best Workplaces UK multiple years in a row.
Join us on our journey. Let’s create tomorrow, together, today.
About The Role And Team
You'll join our AI Engineering team with a focus on evaluation, experimentation, and observability — building the systems that tell us whether our AI features actually work, and keep working, in production. This is a hands-on, technical role representing CreateFuture day to day, working across eval platforms, golden datasets, and production monitoring for AI-native systems.
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.
What You'll Be Doing
- Design and build eval and observability pipelines using platforms such as Braintrust, LangSmith, Arize, or Weights & Biases.
- Curate golden datasets and design LLM-as-judge and human-in-the-loop scoring pipelines.
- Build production observability for AI features: token-level tracing, quality signal monitoring, hallucination and refusal detection, and cost attribution per use case.
- Wire eval gates into CI/CD promotion paths so quality checks are enforced before release, not just measured after.
- Turn eval and observability data into decisions that engineering and product teams will actually act on.
- Work with engineering and product to interpret scores and know when a result is telling us something real versus noise.
We'd Love To Talk To You If You
- Have strong Python skills and hands-on AI engineering experience, particularly around evals and observability.
- Have used Braintrust, LangSmith, Arize, Weights & Biases, or a similar platform in production.
- Are comfortable designing scoring pipelines and know how to sanity-check whether a score means anything.
- Have enough CI/CD fluency to wire eval gates into a promotion pipeline.
- Can communicate what the data means clearly enough that engineering and product teams act on it.
What We’ll Offer You
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.
We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.
Our hiring process
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.
It Usually Looks Like This
- Call with our Talent Acquisition Team
- Role specific capability interview
Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.
Inclusion at CreateFuture
We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.
If you need any adjustments or support during the application process, just. We will do what we can to help.
We look forward to your application!
“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
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