Data & AI Video Hub
Explore Harnham’s collection of videos covering data, AI, analytics, and talent. Hear from industry experts, hiring leaders, and data professionals as they discuss building high-performing teams, hiring strategies, AI trends, and the future of data-driven organisations.
Latest Videos
What Success Looks Like in Data & AI
For today’s data leaders, success means confidence, simplicity, and long-term impact. With Harnham and Rockborne as one partner across the full spectrum of data and AI talent, businesses can reduce the complexity of juggling multiple suppliers and focus instead on building capability that lasts.
Lessons from 19,000+ placements and a partnership shaping the future of data talent
From Talent Provider to Data & AI Partner: Rockborne’s Evolution
As the market shifted and data leaders faced increasing pressure to deliver outcomes faster, with tighter budgets and higher visibility, business needs evolved. Instead of hiring talent, organisations now require complete, outcome-driven solutions.
Why Embedded Recruitment Wins for Data & AI Hiring | Harnham
When hiring is business-critical, traditional recruitment models often fall short. In this video, we explain why embedded recruitment is the most effective approach for scaling high-performing data and AI teams.
How to Build Data & AI Capability | Harnham x Rockborne’s Attract–Train–Deploy Mode
Every business faces unique challenges in building data and AI capability. That’s why Harnham and Rockborne start with one simple step: a conversation. From there, we shape the right approach together, guided by our proven Attract–Train–Deploy model.
Talent Transformation: Building Data Careers and Stronger Teams
Some of our proudest moments come from seeing Rockborne consultants, many from non-traditional backgrounds, grow into permanent roles, earn promotions, and even lead teams of their own. Their journeys prove how opportunity can transform both lives and industries. This impact extends to our client partnerships. In one organisation, Rockborne consultants, Harnham contractors, and permanent employees now collaborate side by side
Joining Forces for a Bigger Vision in Data & AI
Businesses needed a true partner who understood their challenges and could deliver lasting solutions. That vision sparked the creation of Rockborne: a consultancy that grew into a full-service partner, training, upskilling, and deploying diverse data specialists to close skills gaps and open data careers for people from all backgrounds.
Building Data & AI Talent: How Harnham and Rockborne Drive Transformation
From launching Rockborne as a training and development partner, to transforming how businesses think about data skills, Dave and Waseem share the vision, the impact, and the opportunities for organisations looking to stay ahead in a rapidly evolving market.
15,000 Placements Later: What We’ve Learned About the Global Data & AI Talent Market
Join Harnham co-founders Dave Farmer (Co-founder & CEO) and Simon (Co-founder & Chairman) for a candid and inspiring conversation celebrating 15,000 placements and nearly two decades in the data recruitment industry.
15,000 Placements Later: Co-Founders Dave and Simon
In this video, co -founders Dave Farmer (Co-founder & CEO) and Simon Clarke (Co-founder & Chairman) discuss a significant milestone in Harnham’s journey - 15,000 placements and nearly two decades of growth in the data and AI recruitment space.
15,000 Placements Later: Hear from Abby, the 15,000th placement
In this video, we speak to Abby Parker, the 15,000th person placed through Harnham Group - a data professional who entered the industry via our sister company, Rockborne.
What Makes a Great AI Recruiter?
In this video, we break down what separates great AI and data recruiters from the rest, and how companies can choose the right partner.
Short insights from Harnham experts answering the biggest questions in data and AI hiring
Data Leader Hiring Guide Insights
In this video, we break down the key insights from our Data Leader Hiring Guide, exploring what organisations should be looking for, how the role of data leadership is evolving, and what separates good from truly transformational hires.
Spotting High Potential Candidates
In this video, we explore what truly defines “high potential” — and why it goes far beyond experience, job titles, or technical ability. Hiring for potential rather than just proven performance can be a powerful competitive advantage.
The Skills Gap
In this video, we explore the growing conversation around the “skills gap” and what it really means for businesses trying to hire in a competitive market.
What we wish every hiring manager knew
In this video, we share the honest insights and recurring themes that can make or break a hiring process. From unclear briefs to unrealistic expectations, small misalignments can have a big impact on attracting and securing the right talent. We explore what hiring managers often underestimate, and how small shifts in approach can dramatically improve hiring outcomes
Why the US is losing out on top data talent
Is the US losing its grip on top data talent? In this video, we explore why some of the world’s best data professionals are increasingly looking beyond the US and what that means for businesses competing for elite talent.
What's changing in the US
In this video, we explore the key shifts shaping the US recruitment landscape, particularly across data, technology and leadership roles. From evolving candidate expectations to structural changes in how businesses hire and scale, the market is moving fast. Understanding these changes is critical for companies that want to stay competitive and attract the best talent.
Why We Don't Just Sent Any Candidate
In a competitive hiring market, volume is easy. Precision is harder. In this video, we explain why our approach isn’t about flooding inboxes with CVs — it’s about delivering carefully selected, high-impact candidates who truly fit the brief.
The Biggest AI Trends Right Now: LLMs, Agents & Trust
In this video, Tim Jonas (Business Manager at Harnham) shares the key trends shaping AI hiring and adoption today.
From 0 to AI Deployment in 4 Months
A pharmaceutical company had already invested heavily in an AI platform—and had just 4 months to implement it across the business. No delays. No budget resets. No second chances.
Data Recruitment & AI Talent Solutions
JOIN THE HARNHAM TEAM
LATEST HARNHAM
OPPORTUNITIES
Welcome to a recruitment journey like no other. At Harnham, we're always interested in finding the right people to join our team.
Data Platform Architect
Remote
$206884.9 - $243394
+ Data Engineering
PermanentUnited States Virgin Island
To Apply for this Job Click Here
Location: Remote (US only)
Compensation: Up to 200K
This role has extremely high visibility and impact across the company wide data architecture and requires strong experience to be a self-starter. This means you must have worked in a relevant field and have the ability to come in as a SME.
The role:
- Design and manage the company wide data platform architecture
- Own tool selection, data integrations, and system functionality
- Act as SME across the data stack – Snowflake, DBT, Python, AWs
- Continuously evaluate and implement new integrations
- Evolve data integration always seeking to find new advancements to implement
- Ensure scalability, reliability, and performance of the data platform
- Partner with Data Engineering teams to ensure smooth delivery of Data Pipelines
The Requirements:
- Strong experience in the relevant tech stack – Snowflake, DBT, AWS
- Extensive experience in Data Engineering with at least 3 years being at the platform or architecture level
- Deep Experience in Data Architecture and Infrastructure
- Healthcare experience is a very strong preference
To Apply for this Job Click Here
Principal Software Engineer
San Francisco
$280000 - $350000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
PRINCIPAL SOFTWARE ENGINEER
BAY AREA, CA (3 DAYS IN OFFICE)
$280,000 – $350,000+ (BASE + EQUITY)
An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.
THE COMPANY
A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.
THE ROLE
Hands-on engineering and AI work across the platform:
- Build agentic GenAI workflows using internal datasets
- Develop marketing and growth systems: email delivery, personalization, engagement tracking
- Create commercial AI models to understand user behavior and engagement
- Collaborate across product and engineering teams
- End-to-end coding, system design, and customer validation
YOUR SKILLS & EXPERIENCE
- Backend: Python, Django or Flask or FastAPI
- Frontend: React
- Cloud/Infrastructure: AWS
- Databases: PostgreSQL
- AI/ML: OpenAI; knowledge of agent systems helpful
- Experience with large-scale data and knowledge systems is a plus
- Comfortable working in a lean, high-ownership environment
HOW TO APPLY
Please register your interest by sending your resume to Calum Reid via the apply link on this page.
To Apply for this Job Click Here
Staff AI Engineer
Manhattan
$250000 - $350000
+ Data Science & AI
PermanentManhattan, New York
To Apply for this Job Click Here
STAFF AI ENGINEER
New York, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll turn foundation models into reliable, scalable systems that power copilots, automation, and internal AI workflows.
You’ll operate across architecture and implementation with fast iteration from idea to production.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and chat-based systems
- Text-to-code and natural language SQL interfaces
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable, secure GenAI deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build foundational GenAI systems with real enterprise impact
- High ownership across architecture and execution
- Fast iteration cycles from idea to production
- High visibility and technical influence
- Opportunity to shape core AI infrastructure
To Apply for this Job Click Here
Staff AI Engineer
Palo Alto
$250000 - $350000
+ Data Science & AI
PermanentPalo Alto, California
To Apply for this Job Click Here
STAFF AI ENGINEER
Palo Alto, California, United States (On-site / Hybrid)
The Role
We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.
This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.
You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.
What You’ll Build
- Production LLM-powered services and applications
- Enterprise copilots and conversational AI systems
- Text-to-code and natural language SQL systems
- Agent frameworks and tool-using AI systems
- Workflow automation powered by foundation models
- API layers for LLM integration across systems
- Scalable GenAI infrastructure and deployments
- CI/CD pipelines for AI services
What You Bring
- 8-12+ years software or ML engineering experience
- Strong experience building production LLM or ML systems
- Deep understanding of foundation models and LLM APIs
- Strong backend and distributed systems experience
- Experience with AWS production environments
- Kubernetes / containerized deployment experience
- Strong systems thinking (latency, scaling, reliability trade-offs)
Strong Preference For
- ML engineering background over traditional full-stack
- Experience building GenAI or agentic systems in production
- Strong analytical background (PhD-level NLP/CV a plus)
Why This Role
- Build and scale core GenAI infrastructure with real impact
- High ownership from architecture through production
- Fast iteration cycles and strong technical autonomy
- High visibility with senior technical leadership
- Opportunity to shape foundational AI systems at scale
- Opportunity to shape foundational AI systems at scale
To Apply for this Job Click Here
Senior Software Developer
London
£75000 - £85000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR SOFTWARE DEVELOPER
£85,000
GUILDFORD
This is an opportunity to join an innovation‑led software consultancy working on complex, real‑world engineering problems. The role offers high levels of autonomy, technically challenging work, and exposure to a wide variety of short‑to‑mid‑term projects.
THE COMPANY
Our client is a specialist software consultancy delivering bespoke products for organisations operating in highly constrained, problem‑heavy environments. They focus on technical excellence, innovation and delivery quality, offering engineers the chance to work on challenging systems rather than repetitive product features.
THE ROLE
- Design and build end‑to‑end software solutions
- Work as a senior full‑stack engineer (backend‑leaning)
- Own delivery of complex technical problems
- Build, deploy and support cloud‑based systems
- Collaborate with engineers and data specialists on production solutions
- Contribute to technical decisions and coding standards
YOUR SKILLS AND EXPERIENCE
- 5+ years commercial software development experience
- Strong Java and Spring / Spring Boot background
- Frontend experience with Angular (React or Vue also acceptable)
- Experience building microservices and APIs
- Cloud experience (Azure preferred, AWS acceptable)
- Comfortable working independently with minimal supervision
LOCATION & WORKING PATTERN
- Hybrid working
- Office within 30 minutes commute from London Waterloo
SALARY AND BENEFITS
- Up to £80,000 base salary
- Pension contribution
- 25 days holiday plus bank holidays (option to buy more)
- Paid training days and charity days
- Option to work remotely from abroad for part of the year
SECURITY REQUIREMENTS
- Must be eligible to obtain UK Security Clearance
- No sponsorship available
HOW TO APPLY
Please submit your CV to Harry Lack for review through the ‘apply’ link.
To Apply for this Job Click Here
Software Developer
London
£45000 - £50000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SOFTWARE DEVELOPER
£50,000
LONDON
Our client is looking for a Software Developer to join a well‑established, digital‑first organisation with a heavy investment in data, analytics, and modern engineering practices. This is a growth role for someone who enjoys writing clean, well‑structured Python, taking ownership of production code, and working in an environment where adaptability and collaboration really matter.
THE COMPANY
A UK‑based, consumer‑facing organisation operating at national scale, with millions of customers and a strong reputation for being technology‑led. The business has been investing heavily in digital transformation, growing headcount significantly over the past two years and continuing to build out its engineering and data capabilities.
THE ROLE
- Design, develop, and maintain Python code supporting core internal platforms
- Take ownership of a significant portion of the codebase, progressing changes from development through to deployment
- Write clean, well‑structured, object‑oriented Python code following best practices
- Use GitHub for version control, code reviews, and pull requests
- Work collaboratively with engineers, analysts, and data professionals across the wider team
- Adapt to different ways of working and contribute positively to technical discussions and feedback loops
YOUR SKILLS AND EXPERIENCE
- 2-3 years’ experience working as a Software Developer (experience level flexible for strong candidates)
- Strong Python development skills with a good grounding in OOP principles
- Experience working with version control (Git) and collaborative coding workflows
- Curious, adaptable, and keen to learn within a complex technical environment
SALARY AND BENEFITS
- Base salary: £50,000
- Mostly remote working (fortnightly collaboration days in London)
- Stable, well‑funded business with long‑term technical investment
- Opportunity to grow responsibility and technical ownership over time
- Exposure to high‑quality engineering and data practices
To Apply for this Job Click Here
Senior Software Engineer
London
£75000 - £85000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
SENIOR SOFTWARE ENGINEER
£85,000
LONDON
We’re working with a well‑established digital media and technology organisation who are growing their engineering function and hiring Senior Software Engineers to help shape the next phase of their internal platforms.
This role suits engineers who enjoy thinking beyond tickets, people who ask why, challenge assumptions, and care about designing systems properly rather than just shipping code.
THE COMPANY
A large‑scale media and advertising business operating across physical and digital environments, supporting both public‑sector and commercial clients. The organisation blends traditional infrastructure with modern, data‑led technology and is in the process of modernising a number of core internal systems.
The engineering culture is collaborative and pragmatic, with a strong emphasis on building systems that are maintainable, scalable, and aligned with real business needs rather than short‑term fixes.
THE ROLE
- Design, build, and evolve backend services using Node.js
- Contribute to and lead development of React / Next.js front‑end applications
- Take ownership of features from discovery through to delivery, thinking through priorities, trade‑offs, and long‑term impacts
- Help shape system architecture for a major internal platform managing advertising campaigns end‑to‑end
- Work closely with Product, Architecture, and other Engineering teams to ensure solutions are well‑designed and fit for purpose
- Act as a technical sounding board for less‑senior engineers, providing guidance and reviewing approaches rather than simply approving code
- Ensure code quality, performance, and maintainability across the platform
TECH STACK
- Node.js (backend)
- React / Next.js (frontend, React being the priority)
- AWS (open to other clouds)
- Python is a nice‑to‑have, mainly for data and AI‑related work
- Kubernetes experience is welcome but not required
SALARY & BENEFITS
- £85,000 base salary
- Annual bonus
- Hybrid working (2 days per week in the office)
- Competitive benefits package
To Apply for this Job Click Here
Data Analyst
Manchester
£450 - £500
+ Advanced Analytics & Marketing Insights
ContractManchester, Greater Manchester
To Apply for this Job Click Here
Location: Hybrid – Manchester (2/3 days onsite)
IR35: Inside IR35
Rate: £450-£500 per day
Start: ASAP
Overview
The business is investing heavily in its data capabilities, particularly across claims and pricing, with a focus on improving customer journey insights and building more robust data foundations.
You’ll be joining a fast-paced environment with a high level of autonomy, working closely with a small team of analysts to enhance reporting, identify gaps, and improve how data is structured and used across the business.
Role Focus
* Support key initiatives across claims and pricing
* Improve data structures and pipelines to enable better downstream reporting and insights
* Analyse existing reports, identify gaps, and help enhance the reporting layer
* Work closely with analysts and wider data teams to deliver high-quality outputs
* Contribute to building a best-in-class pricing and performance data ecosystem
* Operate in a fast-paced environment with strong ownership and autonomy
Key Responsibilities
* Analyse and improve existing reporting (primarily Power BI)
* Work across the full BI lifecycle – data prep, ETL, and visualisation
* Identify data gaps and opportunities to enhance insight delivery
* Collaborate with analysts and technical teams to improve data pipelines
* Ensure data is structured and prepared effectively for reporting use cases
* Deliver clear, actionable insights to support business performance
Experience Required
* Strong experience in Power BI, SQL and Databricks
* End-to-end BI experience (data preparation, ETL, visualisation)
* Ability to work independently and take ownership of delivery
* Strong understanding of data processes and business context and value add
* Proactive and collaborative approach when working with teams
Desirable
* Python for data manipulation
* Experience in Insurance (preferred) or Financial Services
