AI Jobs in the UK (No ghost jobs, direct from employers)

AI jobs across the UK, checked every hour. Pay where listed, posting age, company reviews and a ghost-job check on every posting.

232 jobs found

  • 2 days agoLow ghost risk
    Plum FintechHybridLondon, ENG$120K - 180KMid-level
  • 1 week agoLow ghost risk
    OpenAIHybridLondon, ENG$90K - 150KSenior
  • 2 days agoLow ghost risk
    OpenAIOn-siteLondon, ENG$150K - 220KLead
  • 2 days agoLow ghost risk
    OpenAIOn-siteLondon, ENG$120K - 200KLead
  • 6 days agoModerate ghost risk
    IdeagenOn-siteNottinghamshire, Nottinghamshire$25K - 35KJunior
  • 1 week agoLow ghost risk
    Scale AI, Inc.On-siteLondon, ENG$90K - 140KSenior
  • 1 day agoLow ghost risk
    Transaction Network ServicesOn-siteGBR - Virtual - South$150K - 250KSenior
  • 1 day agoLow ghost risk
    Transaction Network ServicesOn-siteGBR - Virtual - North$150K - 250KSenior
  • 1 week agoLow ghost risk
    IFSOn-siteLondon, ENG$85K - 120KSenior
  • 1 week agoModerate ghost risk
    IFSHybridLondon, ENG$120K - 180KMid-level
  • 1 week agoLow ghost risk
    IFSHybridLondon, ENG$85K - 120KMid-level
  • 1 day agoLow ghost risk
    NCR AtleosOn-siteDundee, Scotland$18K - 24KJunior
  • 1 week agoModerate ghost risk
    LuminanceHybridCambridge, England$65K - 95KMid-level
  • 1 week agoLow ghost risk
    Hansen TechnologiesOn-siteHammersmith (London)$120K - 180KLead
  • 1 week agoHigh ghost risk
    LuminanceHybridCambridge, England$25K - 50KJunior
  • 1 week agoLow ghost risk
    DistylHybridLondon, ENG$80K - 120KSenior
  • 1 week agoLow ghost risk
    IFSHybridLondon, ENG$80K - 120KSenior
  • 6 days agoLow ghost risk
    AldermoreOn-siteManchester, England$85K - 120KLead
  • 14 hours agoLow ghost risk
    VEEDOn-siteLondon - Hybrid$97K - 152KMid-level
  • 1 day agoLow ghost risk
    Cognizant Technology SolutionsOn-siteLondon, ENG$85K - 120KSenior

Staff AI Engineer

Plum Fintech

2 days agoHybridLondon, ENG$120K - 180KMid-level

Why this job matches

See how well your resume fits this job and what it is missing.

Millions of people want to grow their money but don't know where to start. More than 90% of adults don't access traditional financial advice. That's the gap Plum was built to close.

We're building the proactive money platform that makes it easy for people to smartly and sustainably grow their money. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, we've got your back.

Since 2016, millions of people across 10 European markets have set aside more than £10 billion with Plum. But what we're most excited about is what comes next and the opportunity for our people to help shape it.

We're now going after something even bigger: the £2 trillion+ advised market in the UK and beyond, currently locked behind high fees and complexity. By combining AI-driven financial guidance with the products people actually need, we're building a solution for everyone, not just the wealthy few.

At Plum, you'll be part of a team that's ambitious, curious and driven. We move fast, learn from what doesn't work, challenge the status quo and, most importantly, build something that makes people's lives better. We believe great ideas can come from anywhere, and that the best work happens when people feel trusted to take ownership, collaborate openly and bring their whole selves to work.

Join nearly 300 Plumsters and be part of a team shaping the future of money

The Role

At Plum, we're looking for engineers who care deeply about technology, customer impact, and building things that scale.

We're looking for a Staff AI Engineer to work across our AI Platform and Wealth Advisor teams, the teams behind the intelligence that powers Plum. The AI Platform team builds the foundations (model orchestration, retrieval, evaluation and guardrails) that every AI experience at Plum runs on, while the Wealth Advisor team uses those foundations to deliver trusted, personalised financial guidance to millions of customers. Together, they tackle some of Plum's most important and technically interesting challenges: making AI-driven financial advice safe, accurate and accessible to everyone.

You'll help shape the technical direction of AI at Plum, connecting LLM-powered products, backend systems, and financial infrastructure to create a platform that's reliable, scalable, and built for rapid innovation.

What You Will Do

  • Architect and design the core components of our AI platform, from model orchestration to retrieval (RAG), agentic workflows, prompt and context management, so that AI capabilities can be built once and adopted across every Plum team
  • Lead the end-to-end development of LLM-powered customer experiences for the Wealth Advisor, from system design and tool integration through deployment, monitoring and iteration in production
  • Build rigorous evaluation systems including golden datasets, LLM-as-judge grading, regression gates on prompt/model changes and offline-to-online metric correlation, so we can ship AI improvements quickly with confidence
  • Design the guardrails, safety and observability layers (tracing, cost and latency monitoring, content and action controls) that make AI-driven financial guidance trustworthy in a regulated environment
  • Drive the AI Strategic Vision and roadmap, evaluating emerging models, tools and techniques and ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs
  • Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence for AI systems across multiple teams
  • Provide guidance to and mentor Senior Engineers and other team members, raising the bar on AI engineering craft and fostering a culture of technical excellence and career growth
  • Identify root causes of systemic issues, from model quality regressions to architectural bottlenecks, determining short-term mitigations and long-term strategic resolutions
  • Partner closely with Staff Engineers, Product Managers, Data Scientists and Compliance to design AI solutions that unlock new growth opportunities while meeting the standards expected of a regulated financial product

What We Look For

  • Proven track record of technical leadership, with experience designing, shipping and operating LLM-powered systems in production at scale
  • Hands-on experience across the modern AI stack: agentic systems (tool use, orchestration, multi-step planning), RAG and retrieval pipelines, prompt engineering, and fine-tuning where it adds value
  • Rigour in evaluation methodology: you know how to measure whether an AI system is actually good, design evals that catch regressions, and make the data-backed "don't ship" call when needed
  • Strong software engineering fundamentals: Python, distributed systems, APIs, cloud infrastructure, that you have used over the years to build AI products on solid foundations
  • High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning, and you balance model capability against cost, latency and reliability
  • Strong planning and prioritisation skills, with the ability to translate high-level business goals into actionable technical strategies across the AI stack
  • Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science
  • Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non-technical executives
  • Experience working within a cross-functional team and collaborative environment; ability to facilitate technical decision-making and resolve conflicts across teams
  • Self-motivated and self-managing, with excellent organisational skills and a focus on high-leverage work
  • An appreciation for the responsibility that comes with applying AI to people's money. Awareness of safety, fairness and regulatory considerations is a strong plus

Plum Perks

  • We're all in this together! Own part of the company through stock options
  • Private health insurance
  • Annual training budget
  • Plum Max subscription for yourself and Boost for 2 friends or family members
  • Referral scheme: earn competitive rewards up to 4k
  • Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus
  • Team breakfasts and team lunches
  • 25 days holiday + bank holidays
  • 45 work-from-anywhere days: giving you the flexibility to work your way
  • 2 weeks & 6 weeks sabbatical after 4 years and 8 years respectively to take the break you deserve
  • Enhanced parental leave
  • Wedding allowance
  • 1 paid volunteering day annually
  • Annual team trip: to a surprise destination!
  • A fun, inclusive company culture (think )

If this sounds like you, we'd love to hear from you!

Thanks,

Team Plum

  • Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

Company Reviews

Employee reviews

2.8

148 Reviews
  • 548 %
  • 412 %
  • 36 %
  • 29 %
  • 125 %
  • No recognition, no reward, ok just for a very small time
    2026-03-05T09:00:29.863

    Pros: Good people to work with, free food once a week

    Cons: No recognition of hard work. You may stay at the same level forever while delivering and taking the responsibilities of a Senior for years. Even if you overachieve in every competency matrix or goal they set, you'll still not gain anything and they won't even have the decency to think of some decent excuse or feedback. They encourage job hopping, that's why everyone leaves very often. It's known that salaries may vary too much among people that provide the same output all the time. Also, if you're a new hire you get more than everyone that's been there no matter for how long. That's why they are also not transparent with the salary ranges they have. Constant restructures just so that leadership can show off some "impact" while in reality they just make things harder for everyone and slow our progress. People come and go all the time resulting in complete mess. Too often a new leader is hired, he changes everything even if it's clearly not beneficial and everyone disagrees just to prove they're doing something. Then they leave after a short time in order to do the same thing elsewhere and they leave behind them every single thing they found now destroyed. Then the next new leader comes and reverts things back to how they were before the previous leader and so on... Many people in various non-engineering departments (e.g. product, design) exist like parasites. They are incompetent and offer too little or nothing at all and they pretend they're working too much while actually delegating their work and responsibilities to others.

  • Great
    2026-02-23T11:31:41.023

    Pros: Top culture, great people, interesting product

    Cons: some sloppy design and decision making

  • Where leadership goes to die
    2026-02-05T13:26:05.910

    Pros: Great supportive colleagues, private health insurance

    Cons: Goals, priorities, processes, and expectations change so frequently that sustained delivery becomes almost impossible. No matter how much you deliver, it is never enough. Recognition is rare, scrutiny is constant. You can do 99 things right, but all the focus will be on the one thing that wasn't perfect. Feedback is a one-way street, alternative viewpoints are dismissed. With very little transparency, you’re left guessing where you stand and what success actually looks like. Instructions are vague, last-minute, and delivered without proper context. You’re expected to somehow guess what’s wanted, only to be judged harshly when the output doesn’t match an unspoken or half-formed expectation. You rework the same tasks multiple times, trying to chase moving targets, while your BAU responsibilities fall behind. Then you’re criticised for that as well. Over time, you stop pushing back. Not because you agree, but because it’s futile. Alternative perspectives aren’t welcomed, so you default to saying yes and focusing on compliance just to preserve your sanity and avoid wasting more time. This is not growth. It’s not empowerment. It’s not a “fast-paced” environment in the healthy sense. It’s closer to a 1950s classroom or military camp, where authority outweighs thinking, and obedience is confused with performance. If you’re looking for autonomy, clarity, or trust, this is not be the right place. Expectations are unrealistic. Success criteria shift mid-execution, and are sometimes redefined after the fact. The result is a persistent no-win situation that leaves people feeling set up to fail. Transparency issues extend to pay. Senior leadership has explicitly refused, in a company-wide meeting, to share salary bands, arguing that transparency would be “unfair” because multiple people hold the same roles. I'll let you guess what that means...

Frequently asked questions about AI jobs in the UK

What is a ghost job?

A ghost job is a posting for a role the company isn't actively hiring for. Some stay up after the company fills the role. Others collect resumes for an opening that may never come.

You spend an evening tailoring an application, and nobody on the other side is looking for you.

What do AI jobs in the UK pay?

Few of these postings list pay. Where an employer posts a range, the job card shows it; where it doesn't, the card shows an estimate and says so. Counting those estimates, the median here is about $100,000 a year (in US dollars).

How many AI jobs in the UK are there?

At our last count there were about 230 open postings. The list on this page is live, so the count above it is the current one.

How does Enhancv spot a ghost job?

Every posting goes through five checks: how long it has been up, whether a salary is posted, what employees say about the company, how specific the description is and whether it lists real requirements. Each job shows the checks it passed and the ones it didn't.

How fresh are the job postings?

Enhancv checks postings every hour, and every job shows how long ago it went up. Most hires happen within 30 days of posting. A listing that's been open for two months raises its ghost job risk.