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.
Lead Data Scientist
London
£450 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Lead Data Scientist
England
£450-£480 Outside IR35
Remote
The Company
They are a specialist organisation working at the forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors.
The Role and Deliverables
You will take ownership of end-to-end data science delivery, from problem definition through to deployment in live environments.
* Design, build, and deploy machine learning models within Pega-based decisioning platforms.
* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.
* Work closely with application and logic developers to embed models into operational decision workflows.
* Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases.
* Design and run experiments, including A/B testing, to quantify business impact.
* Provide technical leadership and mentoring to other data scientists, while engaging confidently with client stakeholders.
Your Skills and Experience
* Strong experience delivering data science solutions in client-facing or consulting environments.
* Advanced capability in Python and or R, with hands-on use of modern machine learning libraries.
* Deep understanding of statistical modelling, experimentation, and model evaluation techniques.
* Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure.
* Proven ability to communicate complex technical concepts to non-technical audiences.
* Experience with Pega Customer Decision Hub and Adaptive Decision Manager in production environments is highly desirable.
* Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous.
* Familiarity with MLOps practices and model monitoring frameworks is beneficial.
How to Apply
If you are looking for a senior data science role where you can combine technical depth with real client impact, apply now to learn more.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager (Palantir)
London
Rate: £550-£650 Outside IR35 Per Day
Work Type: Fully remote
Start: ASAP
The Company
They are a well established organisation with a strong enterprise data estate and a clear commitment to using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence.
The Role and Deliverables
- Own the day to day operation of Palantir platforms and associated MLOps services, ensuring availability, performance and a strong user experience.
- Establish and run service management processes including incident, problem and change management, supported by clear documentation and runbooks.
- Define and embed standard MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
- Lead platform releases and upgrades, including planning, testing, communication and rollback where required.
- Implement and maintain security, risk and compliance controls for data and machine learning workloads.
- Manage the platform roadmap, cost optimisation activities and key supplier relationships.
Your Skills & Experience
- Strong experience operating Palantir platforms in production, or comparable enterprise data platforms, with ownership of platform operations.
- Proven capability delivering MLOps practices end to end, including CI/CD, automation, monitoring and model governance.
- Experience working closely with security, risk and governance teams to evidence controls and support audits.
- Confident stakeholder management skills, able to balance delivery speed, cost and risk across technical and non technical teams.
- A service owner mindset with a focus on stability, continuous improvement and enabling delivery teams.
How to Apply
Apply now to discuss this contract opportunity and how it could align with your experience.
To Apply for this Job Click Here
MLOps Engineer
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
MLOps Platform Manager (Databricks)
London
£550-£650 Outside IR35 Per Day
Fully Remote
Start date: ASAP
The Company
They are a large, complex organisation with a strong focus on data, analytics and AI to support business critical decision making. The business operates at enterprise scale, with a mature data platform estate and a growing demand for robust, well governed MLOps capabilities. Collaboration, operational excellence and responsible use of data and AI sit at the heart of how they work.
The Role and Deliverables
Own the day to day operation of the Databricks platform and associated MLOps services, ensuring availability, performance and stability.
Establish and run service management processes including incident, problem and change management, with clear documentation and escalation paths.
Define and deliver standardised MLOps patterns covering model development, deployment, monitoring and lifecycle governance.
Lead platform releases and upgrades, including planning, testing and communication to stakeholders.
Implement and maintain security, risk and compliance controls across data and machine learning workloads.
Manage platform roadmap, cost optimisation and supplier relationships to maximise value and developer experience.
Your Skills and Experience
Strong experience operating Databricks in production, including workspace administration, cluster policies, jobs and data governance controls.
Proven capability delivering MLOps practices end to end, from CI/CD and automation through to model monitoring and observability.
Experience owning platform operations and service management in a complex, enterprise environment.
Confidence working with security, risk and governance stakeholders to evidence controls and support audits.
Ability to engage and influence across data engineering, data science and analytics teams, balancing speed, cost and risk.
How to Apply:
If this contract sounds like a good fit for your experience and interests, please apply to find out more.
To Apply for this Job Click Here
QlikView Consultant
London
£500 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
QLIKVIEW CONSULTANT
HYBRID ROLE (1 DAY PER WEEK IN OFFICE)
OFFICES IN COVENTRY AND LONDON
INSIDE IR35
£500 P/D
6 MONTH CONTRACT WITH OPPORTUNITY OF EXTENSION
The Company
They are a UK‑headquartered commercial property company that owns, develops, and rents warehouses and factories to major national and international organisations. Their portfolio supports large‑scale logistics, manufacturing, and distribution operations across the UK and Europe.
The Role and Deliverable
* Take ownership of the legacy QlikView platform, ensuring it remains stable and reliable for business‑critical reporting
* Improve and maintain existing QlikView reports, addressing inconsistencies, technical debt, and poor data quality
* Project manage demand across a messy reporting landscape, prioritising fixes and enhancements with the business
* Act as the main interface between stakeholders and third‑party suppliers, translating requirements into delivery
* Challenge supplier solutions and ways of working to ensure they are pragmatic and fit for purpose
* Support planning for the eventual decommissioning or migration of QlikView as part of a broader Microsoft‑centric strategy
Your Skills & Experience
* Strong hands‑on experience with QlikView development and platform management
* Proven ability to work within legacy environments and bring order to complex or poorly structured data
* Confidence engaging with non‑technical stakeholders to understand reporting needs and pain points
* Experience project managing reporting workstreams and coordinating third‑party suppliers
* Solid understanding of SQL and wider data and reporting architectures
Please apply here or send your CV
To Apply for this Job Click Here
Qlik Consultant
London
£450 - £500
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Location: London or Coventry – 1 day per week onsite (occasional travel to Slough)
Contract: 6 months (high likelihood of extension)
IR35: Inside IR35
Rate: Up to £500 per day
Start: Ideally in May
Overview
The business is currently going through a wider transition across its reporting, analytics and data capability, moving towards a more efficient microsoft/Power BI-led reporting stack with increased focus on automation and AI-driven systems.
The current environment has a heavy reliance on offshore and third-party partners, with a number of processes and reporting workflows still operating manually. There is also a legacy QlikView estate that was originally planned for decommissioning last year, but remains business critical during the transition period.
Role Focus
- Own and maintain the existing QlikView reporting estate
* Act as the bridge between business users and external suppliers/offshore teams
* Support the ongoing transition from QlikView to the future reporting stack
* Enhance, maintain and troubleshoot QlikView reports and dashboards
* Gather and translate business requirements into technical/reporting solutions
* Challenge suppliers on delivery quality, technical approach and best practice
* Support migration and decommissioning activities across the reporting ecosystem
* Combine hands-on development capability with delivery coordination, analysis and light project management responsibilities
Required Experience
- Strong hands-on QlikView experience
* Experience working across both technical delivery and business-facing requirements gathering
* Strong stakeholder and supplier/vendor management skills
* Comfortable operating within legacy/on-prem environments whilst supporting modernisation programmes
* Strong SQL skills
* Experience supporting reporting migrations, decommissioning or transition programmes is highly beneficial
To Apply for this Job Click Here
Technical Programme Manager
London
£550 - £650
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Location: London – occasional visits
Contract: Initial 3 months (likely extension)
IR35: TBC
Rate: TBC
Start: Immediate – 18th May latest start
Overview
We’re supporting a fast-growing AI-native SaaS business, they are looking for a Senior Technical Programme Manager to lead a high-profile enterprise delivery programme, coordinating cross-functional teams across DataOps, Data Science, ML, Insights and Customer Success.
This is a delivery-first role focused on driving execution, managing enterprise stakeholders, and ensuring complex customer deployments remain on track in a fast-paced environment.
Role Focus
* Lead enterprise-scale AI/data delivery programmes
* Coordinate cross-functional teams across technical and operational functions
* Run steering committees, executive updates and customer delivery sessions
* Translate business requirements into technical specifications and delivery plans
* Manage sprint delivery, dependencies, risks and quality gates
* Support taxonomy/classification rollout projects and operational processes
* Work closely with DataOps, ML and engineering teams to drive delivery outcomes
Required Experience
* Strong technical programme/project delivery experience within SaaS, AI, ML or data product businesses
* Experience working across DataOps, Data Science or analytics environments
* Strong enterprise stakeholder management and customer-facing delivery experience
* Comfortable operating between technical and business teams
* Experience managing complex, fast-paced delivery programmes
* Exposure to taxonomy/classification or unstructured data projects is beneficial
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
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.
