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Digital Futures is seeking a Senior AI Engineer who will be responsible for leading the design, build and operation of production‑grade AI solutions for clients, ensuring they are robust, scalable and secure across cloud and data platforms. The role provides technical leadership to AI and data engineers and sets engineering standards for AI delivery.
Key responsibilities
Lead end‑to‑end engineering of AI products and platforms (including LLM, ML and automation use cases) from discovery through to production and ongoing optimisation. Define and own engineering standards, patterns and best practices for AI services, APIs, data pipelines and MLOps across cloud environments. Provide hands‑on technical direction to AI Engineers, ML Engineers and Data Engineers, including code reviews, solution design and troubleshooting. Collaborate with architects, product owners and client stakeholders to translate business requirements into scalable technical designs. Ensure solutions meet non‑functional requirements including performance, reliability, observability, security and cost‑effectiveness. Champion continuous improvement of engineering practices, tooling and automation within and across Expert Teams.
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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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.
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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.
Skills & experience
Extensive experience delivering AI/ML or data‑intensive systems into production in a consulting, product or enterprise environment. Strong software engineering background (e.g. Python, Java, or similar) with experience of modern development practices (CI/CD, testing, DevOps, Git-based workflows). Hands‑on experience with major cloud and data platforms (e.g. AWS, GCP, Azure, Databricks, Snowflake) and associated AI/ML services. Familiarity with modern AI tooling (LLM frameworks, vector databases, orchestration/agent frameworks, MLOps tooling). Proven track record of leading technical teams, mentoring engineers and influencing technical decisions. Understanding of security, data privacy and responsible AI considerations in production systems.
Behaviours & mindset
Acts as a builder who takes ownership of outcomes, not just code. Communicates clearly with both technical and non‑technical stakeholders. Enjoys mentoring others and raising the overall bar for engineering quality. Pragmatic and delivery‑focused, able to balance ideal architecture with real‑world constraints. Curious about emerging AI technologies and keen to experiment and learn.


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What's in it for you?
Tailored professional development plan and upskilling Ability to make an impact at Digital Futures while it is in a period of accelerated growth Access to our employee benefits, discounts and perks platform Pension contributions Wellbeing budget Competitive salary Hybrid working model with required office working days
Digital Futures is a mission-led technology services company specialising in Artificial Intelligence (AI).
We have reimagined how capability is built in the age of AI, disrupting outdated workforce and education models, placing ambition at our core.
We’re building the workforce of the future, leveraging the power of AI to drive innovation and inclusive growth.
We are creating a company that matters: one where pride is a strategic asset and our collective impact is measured in enduring outcomes – opportunity created, futures transformed, advantage secured.
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