The Data Digest Exclusive: Our AI Hiring How-to Guide
Welcome to the latest edition of The Data Digest: AI Hiring Exclusive
In this issue we spotlight our AI Hiring How-to Guide, with insights, case studies and advice on everything you need to know about the data and AI hiring landscape.
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AI HIRING: A "HOW TO" GUIDE
Artificial Intelligence is no longer a “future goal”, it’s changing how businesses operate today. But most companies are still building the foundations.
Our latest guide, "How to Hire in AI", cuts through the buzzwords and gives you a practical lens on what’s really happening in the market.
It’s designed to support business leaders at any stage of AI adoption—whether you’re starting your first hire or scaling a global function.
WHY DO YOU NEED THE GUIDE?
In a landscape dominated by discussion of AI, companies can find it hard to navigate the marketplace.
Our data shows that whilst 61% of people are using AI within their current role, only 37% of companies report having a current AI policy.
Businesses incorporating AI should start with the pain point that they need to solve, the question that they need to answer or the process that can be automated.
This enables you to view where AI could potentially support as opposed to picking a tool and then applying it to a process. Prioritising tasks that improve efficiency, such as automating repetitive tasks or enhancing customer insights; or aid revenue generation / protection is the most common approach.
In addition, they should prioritise data quality, management, and AI Ethics considerations to ensure models are producing accurate and fair results.
SEE HOW IT'S WORKING IN THE REAL WORLD:
FEATURED CASE STUDIES
- Private Equity | Building AI leadership from scratch for a US firm hiring at $400k+ levels → READ THE CASE STUDY
- GenAI Startup | Delivering a UK contractor team with day rates up to £640 → READ THE CASE STUDY
- Gaming | Supporting global AI expansion with London-based ML talent (£130k–£150k) → READ THE CASE STUDY
WHAT ELSE CAN YOU FIND INSIDE?
- A breakdown of the key roles shaping AI success, from ML Engineers to Governance Analysts
- Real-world examples of internal AI use cases—and what successful implementation looks like
- Salary benchmarks across permanent and contract markets in the UK and US
- Advice on how leading companies are building and scaling their AI teams
Seeking a new opportunity? Inside the guide you'll learn:
- What kinds of AI roles are being hired right now—and what skills employers want
- How companies are approaching AI projects internally, and where talent fits in
- Current salary benchmarks for both perm and contract jobs in AI
- What businesses need from technical, strategic, and governance hires
Recent Placements Featured Include:
💼 Director of AI Strategy | Dallas, TX | $400,000
👩💻 Senior ML Engineer – GenAI | UK | £640/day
🎮 ML Engineering Manager | London | £150,000
Why Harnham?
Since 2006, we’ve placed 15,000 professionals in Data & AI. Over just the last two years, 120 companies have partnered with us to make pivotal AI hires across sectors including private equity, gaming, and GenAI startups. Inside the guide you'll find case studies and more about the roles they hired, and why.
Our perspective goes beyond recruitment—we help organisations define what good looks like in AI teams, from org structure to retention.
Whether you need full-time staff, contract talent, specialised training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfil all your data and AI talent requirements.
Looking to grow your team?
Get in touch today → info@harnham.com
Or contact us: https://www.harnham.com/contact-page/
Want personalised career advice?
Want to be part of the AI revolution? Whether you’re an experienced AI professional or exploring your next move in the data space, this guide reveals the roles, skills, and employers shaping the future. Speak to a Harnham consultant today about your next step.
Analyst | Storytelling Equity Researcher | Building Finota for financial inclusion and community development | Turning Data into Action & Opportunity | Curious. Bold. Relentless.
4moI run Finota, a research-driven platform focused on deep-dive equity analysis and long-term investment insights — especially around LSE-listed companies. If you're interested in how data meets strategy in real businesses, you can explore my work here: 🔗 finota.substack.com I regularly publish narrative-driven analyses like this to help investors and curious minds understand markets better.