At a Glance
- Tasks: Design and build AI evaluation and observability systems that make a real impact.
- Company: Join CreateFuture, an AI-native consulting partner with a people-first approach.
- Benefits: Enjoy 35 days leave, private medical insurance, and a supportive work culture.
- Other info: Flexible working options and a commitment to personal and professional growth.
- Why this job: Be part of a team that creates innovative AI solutions for top brands.
- Qualifications: Strong Python skills and hands-on AI engineering experience required.
The predicted salary is between 63000 - 77000 £ per year.
Working at Create Future Create Future 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 Pay Pal, adidas, Nat West, Fan Duel 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.
Create Future 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 Create Future day to day, working across eval platforms, golden datasets, and production monitoring for AI-native systems.
What you’ll be doing
- Design and build eval and observability pipelines using platforms such as Braintrust, Lang Smith, 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, Lang Smith, 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.
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 Create Future 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 Create Future
We believe diverse teams build better workplaces and better products.
We want Create Future 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.
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