The Data And AI Podcast

This podcast will cover a range of topics such as finding data talent, and AI training. We will also discuss more advanced subjects like assessing the value of your data team, identifying biases in AI and addressing pay gaps in Data and AI.

Latest Episodes

Data and ai podcast: All Episodes

Dive deep into the world of AI, data, and analytics

Episode 22: Bridging the Data Skills Gap – How to Upskill and Build Analytics Culture

Episode 21: GenAI breakthroughs, roadblocks and what to learn next

Episode 20: How Incrementality and MMM Are Changing Marketing Analytics

Episode 19: How AI Innovation & Hiring Are Evolving Hand in Hand

Exclusive! Harnham to 15,000: The Shift to Personalisation

Episode 18: Beyond the Numbers: Humanising Your Customer Data

Episode 17: Bridging the Consumer Experience Gap: What Brands Get Wrong

Episode 16: The Past, Present, and Future of Experimentation

Episode 15: Utilising Data for Market Fit

Episode 14: Geospatial Analytics – Past, Present and Future

Episode 13: Democratising Data

Episode 12: How to Build and Retain High-Performing Analytics Teams

Episode 11: Leading with a People-First Approach: Navigating Growth in Data and AI

Episode 10: From Payday Lending to AI: Navigating the Credit Risk Landscape

Episode 9: The State and Future of AI

Episode 8: The Next Data Wave: Emerging Trends in Data Management and Governance

Episode 7: Futurecast: Skillsets, Decisions, and the Role of AI

Episode 6: Getting Into the Data Industry Without a STEM Degree

Episode 5: Diversity Equity & Inclusion – How Data Leaders Can Take Action

Episode 4 – Key Findings from Harnham’s 2023 US Data & AI Salary Guide

Episode 3: Key Findings from Harnham’s 2023 UK Data & AI Salary Guide

Episode 2 – Data Literacy (with Waseem Ali & David Reed)

Episode 1 – Quantifying the Benefit of Data (with Waseem Ali & Craig Civil)

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.

 

Senior Analytics Consultant

£60000 - £65000

+ Digital Analytics

Permanent
England

To Apply for this Job Click Here

Senior Analytics Consultant

Fully Remote in The UK

£60,000-£65,000 + Bonus + Shares/Equity

I’m working exclusively with a fast-growing, self-funded analytics consultancy specialising in marketing effectiveness, digital insight and media performance; now in their 5th year, they’ve built a strong retained client base, including a long-term strategic partnership relationship with a major global pharmaceutical group. Following recent leadership meetings and a strong, accelerating sales pipeline, this is a genuine growth hire as the business scales sustainably; they’re now seeking a Senior Analytics Consultant to aid continued growth!

The Team

You’ll report into the Analytics Director and work closely with the two co-founders. This is not a management role, but you will mentor and deliver through others; shaping output quality, raising analytical standards and influencing client thinking. The leadership team are hands-on and highly supportive, and this role sits right at the heart of their most important client relationships

The Role

This is a relationship-led senior analytics role focused on managing key accounts through data.

You will:

  • Own and develop senior client relationships across a subset of global pharma brands
  • Deliver ~2 major insight outputs per month
  • Build on existing frameworks and deepen commercial impact
  • Develop and implement measurement frameworks with global agency partners
  • Evaluate digital marketing & media effectiveness (site performance, media impact, channel ROI)
  • Challenge and validate media agency outputs; cutting through noise to what matters
  • Present confidently to Marketing Directors & CMO-level stakeholders
  • Think on your feet with data in high-level discussions
  • Contribute to pitches and account growth
  • Help shape new methodologies and internal data products

Your Skills & Experience

  • Digital Analytics Expertise – Adobe preferred but not essential
  • Proven experience managing senior stakeholders through data
  • Ability to challenge and validate agency work constructively

The Benefits

  • £60,000-£65,000
  • Bonus – up to 20%
  • Equity participation scheme

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

To Apply for this Job Click Here

Founding AI Engineer

San Francisco

$250000 - $300000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

Founding AI Engineer

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

About the Role

I’m looking for a hands‑on Founding AI Engineer to build and ship the core AI systems that will drive the product forward. Your work will center on fine‑tuning large language models, designing and owning training pipelines, and deploying models that perform reliably in real‑world production environments.

This role is ideal for someone who loves building: running experiments, writing code, optimizing models, and taking features from early prototype to fully deployed. You’ll work directly with me, help define our technical direction, and make an outsized impact from day one.

What You’ll Do

  • Fine‑tune and adapt leading LLMs (OpenAI, Claude, Llama, Mistral, OSS) for production use cases.
  • Build hands‑on data pipelines for SFT, DPO, LoRA, RL methods, and synthetic data generation.
  • Design evaluation systems to measure accuracy, reliability, grounding, and hallucination reduction.
  • Develop high‑performance inference infrastructure (quantization, batching, GPU optimization).
  • Own the full lifecycle of ML features: modeling → pipelines → infra → deployment.
  • Rapidly experiment, iterate, and improve model performance with tight feedback loops.
  • Collaborate with me on architecture decisions and product direction.

What I’m Looking For

  • Strong experience fine‑tuning and deploying LLMs in production.
  • Deep ML engineering skills: Python, PyTorch, transformers, distributed/accelerated training.
  • Comfort handling messy, real‑world data and building robust pipelines.
  • Ability to move quickly, make informed tradeoffs, and deliver production-quality systems.
  • A builder’s mindset-resourceful, execution‑driven, and energized by 0→1 challenges.

⭐ Bonus Points

  • Experience with agentic systems, tool‑calling, or structured reasoning workflows.
  • Background in MLOps, model evaluation frameworks, or GPU-aware engineering.
  • Early‑stage startup or founding-team experience.

Why Join

  • Founding-level equity with meaningful ownership.
  • Massive responsibility and autonomy over the AI systems at the heart of the product.
  • Freedom to experiment, move fast, and push the boundaries of what LLMs can do.

San Francisco, CA (Hybrid/On‑site preferred)
Founding Team * Full‑Time
$250,000-$300,000 salary + equity

To Apply for this Job Click Here

Head of AI

San Francisco

$280000 - $320000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

About the Role

A fast‑moving startup is seeking a Head of AI to build and lead its artificial intelligence function from the ground up. This is a high‑ownership role designed for someone who thrives in early‑stage environments, moves quickly, and is excited to shape both technical direction and company culture.

What You’ll Do

  • Own the entire AI strategy and roadmap, guiding the evolution from early prototypes to scalable production systems.
  • Design, train, fine‑tune, and deploy AI/ML models end‑to‑end, remaining hands‑on through early growth phases.
  • Build and lead the AI organization – hiring, mentoring, and establishing team structure and best practices.
  • Rapidly experiment and iterate, balancing scrappy execution with thoughtful long‑term architecture.
  • Establish all AI infrastructure, including data pipelines, training workflows, model hosting, and MLOps foundations.
  • Collaborate closely with founders and product/engineering teams to identify high‑impact AI opportunities.
  • Implement responsible AI practices from day one, ensuring safety, reliability, robustness, and transparency.
  • Evaluate and integrate emerging AI technologies, including LLMs, agentic systems, and multimodal architectures.
  • Set standards for experimentation, evaluation, benchmarking, and deployment, optimizing for speed and quality.

What Makes You a Great Fit

  • 7-10+ years in AI/ML with significant hands‑on experience building and deploying real systems.
  • A track record of shipping AI products or infrastructure in a startup or small‑team environment.
  • Deep understanding of LLMs, modern ML frameworks, retrieval systems, data engineering, and model evaluation.
  • Ability to move fast while maintaining strong engineering discipline.
  • Comfort operating in ambiguity and making high‑impact decisions without perfect information.
  • Natural leadership instincts with the ability to both set vision and execute.
  • Advanced degree in ML/CS or equivalent practical experience.

Bonus Experience

  • Previous experience as a founding ML engineer or early technical leader.
  • Direct experience training, fine‑tuning, or analyzing LLMs, multimodal models, or agents.
  • Familiarity with lightweight startup‑friendly ML infrastructure (e.g., serverless inference, vector search, lean MLOps).
  • Demonstrated ability to build quickly while maintaining high safety and reliability standards.

Location

San Francisco, CA – hybrid role; in‑person collaboration preferred during early team formation.

Head of AI – San Francisco, CA

Start-up‑Focused Role – $280,000-$320,000 + Equity

To Apply for this Job Click Here

Senior AI Engineer

Sheffield

£80000 - £90000

+ Data Science & AI

Permanent
Sheffield, South Yorkshire

To Apply for this Job Click Here

Senior AI Engineer

Sheffield – 1-2x week in office

Salary: £80,000 – £90,000

This is an exciting opportunity to join a business that is investing heavily in AI and modern cloud technologies. You will play a key role in building AI‑driven products that have a direct impact on customer experience, operational efficiency and the future of their platform.

The Company

They are a tech‑forward insurance organisation with a strong focus on delivering smarter, more personalised digital products. Their teams combine data, engineering and customer expertise to create solutions that simplify complex challenges for their users. Innovation, collaboration and a flexible working culture are at the heart of how they operate. They continue to scale their AI capability and are looking for someone who can help shape this next phase of growth.

The Role

In this AI Platform Engineer role, you will:

* Design, build and operate AI‑first products that deliver measurable value.

* Develop and deploy production‑grade AI agents on GCP using ADK, integrating with internal systems via REST and JSON APIs.

* Build and maintain robust evaluation and monitoring frameworks, including online and offline testing, A/B experiments and performance dashboards.

* Integrate AI agent functionality with applications through MCP servers and reliable tool configurations.

* Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP.

* Embed security, compliance, GDPR controls and best‑practice engineering with clear documentation and stakeholder collaboration.

Your Skills and Experience

To be successful, you will bring:

* Strong Python skills for backend services, SDKs, API development, authentication and testing.

* Hands‑on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design.

* Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK.

* Experience with document and data processing using tools such as Apache Tika, plus storage or caching technologies like Postgres, Redis, GCS or BigQuery.

* Solid DevOps practices including CI/CD, Docker, observability and automated testing.

* A product‑led mindset with a strong understanding of security, IAM, auditability and defining success metrics.

What They Offer

* Opportunities to shape AI products from the ground up.

* A collaborative environment that encourages innovation and career progression.

How to Apply

If you are excited about building production‑ready AI systems and want to drive meaningful impact, please apply with your CV.

To Apply for this Job Click Here

Lead AI Engineer

San Francisco

$250000 - $300000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

Join a fast-growing early‑stage startup building a next‑generation, AI‑native design‑to‑code platform. The team is creating a new category of design tooling where code renders directly as design, real-time AI is deeply embedded into the workflow, and designers work directly in the medium that ships to production.

We are now hiring a Lead AI Engineer as the first dedicated AI specialist on the team-owning the model layer, driving fine‑tuning strategy, and building custom SLMs that power a highly interactive, high‑performance product.

The Role

As the Lead AI Engineer, you’ll take end‑to‑end ownership of model development, optimization, deployment, and evaluation. This is a hands-on, production-focused role where you will build and maintain the AI systems at the core of the product experience.

You’ll work at the intersection of models, systems, and product-shipping production-grade AI features, shaping technical direction, and establishing best practices for evaluation and performance.

What You’ll Do

Model Fine‑Tuning & Specialization

  • Lead fine‑tuning efforts across LoRA, adapters, distillation, and full fine‑tuning
  • Decide when fine‑tuning, prompting, or system‑level approaches are most appropriate
  • Iterate models based on real product signals and user feedback
  • Balance quality, latency, reliability, and cost

Model Optimization & Performance

  • Optimize inference speed, throughput, and per‑request cost
  • Improve model determinism, consistency, and real-time responsiveness
  • Define and maintain benchmarking, evaluation, and observability frameworks

Custom SLM Development

  • Build small, fast language models tailored for design and code-generation workflows
  • Identify use cases where SLMs outperform larger models
  • Maintain and evolve SLMs in production environments

What You’ll Build

  • Fine‑tuned models for design-to-code generation
  • Custom SLMs for narrow, high‑precision workflows
  • Real-time, streaming AI features inside a design environment
  • Multi-step agentic systems supporting “prompt-as-cursor” and next‑in‑flow interactions

How You’ll Work

  • ~80% hands‑on coding, 20% systems-level strategy
  • Full lifecycle ownership: scoping → experimentation → deployment → monitoring → iteration
  • Close collaboration with engineering and product leadership
  • Operate within a highly senior, fast-moving engineering team
  • Ideal for builders coming from AI‑native, high‑velocity environments

What We’re Looking For

Must-Have Experience

  • 5+ years software engineering
  • 2+ years hands‑on work with LLMs in production
  • Proven fine‑tuning experience (LoRA, distillation, adapters, full fine‑tuning)
  • Strong Python and TypeScript/Node.js skills
  • Experience deploying custom models end‑to‑end
  • Understanding of inference optimization and performance tradeoffs
  • Experience with model evaluation and benchmarking

Nice-to-Haves

  • ONNX Runtime
  • Redis
  • WebSockets
  • LangChain or similar orchestration tools
  • Model optimization and compression techniques
  • LLM observability tooling

Ideal Background

  • Experience in AI-native product startups (Seed → Series B/C)
  • Work in code generation, developer tools, design tooling, or AI automation
  • Strong applied experience shipping models to production at speed

How to Apply

If this role aligns with your experience and interests, please reach out with your Resume or LinkedIn profile. I would welcome a confidential conversation to explore whether it’s the right fit.

Lead AI Engineer $250-300k + Equity – San Francisco Bay Area | Hybrid

Early-Stage Startup – Full-Time – AI Engineering

To Apply for this Job Click Here

Lead AI Engineer

Sheffield

£80000 - £90000

+ Data Engineering

Permanent
Sheffield, South Yorkshire

To Apply for this Job Click Here

Lead AI Engineer

£80,000 – £90,000

Sheffield (Hybrid, 1-2 days a week)

A rare opportunity to step into a Lead level role where you will shape a new AI function and play a direct role in transforming how a digital insurer operates. You will build production grade AI systems, influence architecture, and drive agentic automation with a clear path to impact and visibility.

THE COMPANY

They are a technology driven insurance provider specialising in complex and non-standard home risks. Their model blends advanced AI capability with digital platforms to deliver a faster, smarter customer experience. You would be one of the first hires into this team, joining at a genuinely pivotal moment

THE ROLE

As a Lead AI Engineer you can expect to be involved in the following:

  • Build production-ready AI agents on GCP using modern frameworks and Google’s ADK.
  • Develop scalable RAG pipelines spanning ingestion, text processing and vector search.
  • Integrate AI systems into policy, claims and CRM platforms through REST and JSON APIs.
  • Implement monitoring, evaluation, A/B testing and cost or latency dashboards.
  • Contribute to broader AI architecture and help shape engineering patterns and strategy.
  • Work closely with engineering, ML Ops and data teams to bring models and prototypes into stable, scalable production.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

  • Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery.
  • Deep expertise in GCP including Vertex AI, BigQuery, Cloud Run or Functions and related tooling.
  • Strong Python skills and experience developing APIs and production AI systems.
  • Hands on experience with LLMs, embeddings, RAG, vector databases and retrieval frameworks.
  • Familiarity with LangChain, LangGraph or similar agentic frameworks.
  • Solid engineering fundamentals including Docker, Kubernetes and CI/CD.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

  • Salary between £80,000 – £90,000 – depending on experience
  • Hybrid working with 1-2 office days in Sheffield.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

Senior Software Engineer – Lua

San Francisco

$200000 - $280000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Senior Software Engineer – Lua

Remote (US) | $200,000 – $280,000 base + equity + benefits

A market leader in cloud infrastructure and developer tooling is seeking a Senior Software Engineer to help design, scale, and optimize a next-generation global CDN. This team builds the backbone of high-performance web delivery-handling billions of requests per day and powering some of the fastest, most reliable online experiences in the world.

The Role

As part of the CDN Infrastructure team, you’ll build and enhance distributed systems that make the internet faster and more resilient. You’ll design large-scale systems, write production-grade code, and work closely with product and infrastructure engineers to deliver high-impact improvements in routing, caching, and network performance.

What You’ll Do

  • Design, implement, and optimize new CDN features and edge performance improvements
  • Diagnose and reduce latency across a global network serving petabytes of data
  • Improve reliability and scalability for billions of daily requests
  • Build internal tools and workflows for infrastructure developers (primarily in Lua)
  • Collaborate across teams to deliver next-generation web infrastructure

What We’re Looking For

  • 5+ years of professional experience with Lua
  • Deep understanding of HTTP, web servers, and CDN architecture
  • Proven experience with distributed systems and large-scale performance optimization
  • Strong problem-solving skills and a passion for experimentation
  • Bonus: experience with Golang or other backend languages

Why Join

  • Work on systems that serve petabytes of data and billions of requests daily
  • Competitive compensation including equity and full health coverage
  • Flexible, remote-friendly work environment
  • Opportunity to shape the next generation of internet-scale infrastructure

To Apply for this Job Click Here

Staff Machine Learning Scientist

San Francisco

$200000 - $260000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

Staff Machine Learning Scientist

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

  • Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
  • Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
  • Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
  • Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
  • Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

  • 7-10 years of experience building, deploying, and maintaining ML models at scale.
  • Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
  • Proven track record in consumer tech or large-scale marketplaces companies.
  • Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
  • Background in user behavior modeling, search relevance, or real-time data systems.
  • Strong foundation in experimentation (A/B testing), statistics, and applied ML.
  • Exceptional communication skills and the ability to translate technical insights into business value.
  • Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

To Apply for this Job Click Here