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.

 

AI Engineer (FTC)

London

£70000 - £90000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

12 Month FTC Role

Senior Data Scientist (12 Month Fixed Term Contract)
London (Hybrid, 2 days per week in the office)

This is a rare opportunity to step into a senior, end to end role where you will take full ownership of high impact data science and AI projects during a critical period of transition. You will work across a genuinely mixed portfolio of traditional machine learning and modern generative AI, with real responsibility for design, deployment, and stakeholder outcomes.

The Role
You will join a blended Data Science and AI Engineering team, covering a maternity leave where projects are already live and business critical. You will own work end to end, from scoping and solution design through to production deployment and ongoing monitoring.

Key responsibilities include:

  • Owning and delivering machine learning and AI projects from problem definition to production.
  • Designing models from scratch across both structured and unstructured data use cases.
  • Building and deploying LLM based solutions including summarisation and agentic workflows.
  • Delivering traditional machine learning models using techniques such as gradient boosting.
  • Working closely with product, engineering, and business stakeholders to define requirements and trade offs.
  • Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices.
  • Taking responsibility for monitoring, performance, and ongoing improvement of live models.

Your Skills and Experience

  • Strong commercial data science experience with a solid grounding in classical machine learning.
  • Hands on experience deploying and owning models in production environments.
  • Good understanding of LLMs and modern AI approaches, or clear capability to apply them in production.
  • Experience working with cloud platforms and deployment pipelines, with exposure to CI/CD and MLOps.
  • Confident working end to end, from exploratory analysis through to scalable deployment.
  • Comfortable operating in regulated or complex environments.
  • Strong stakeholder management and communication skills, with the ability to translate business needs into technical solutions.

Please note, this is a 12 month FTC

To Apply for this Job Click Here

Product Analyst

City of London

£70000 - £85000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

This is an exciting opportunity to join a fast‑growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact.

The Company
They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing.

The Role
* Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy.
* Generate hypotheses, support experiments, and identify new opportunities.
* Define and maintain key product metrics, ensuring clarity and alignment across teams.
* Build dashboards and self-serve tools that empower stakeholders.
* Conduct deep-dive analyses to influence strategic decisions.
* Contribute to shared knowledge and promote best practices across data teams.

Your Skills and Experience
* Strong commercial experience in analytical roles within digital products.
* Proficient in SQL and analytical tools such as Python or R.
* Skilled in dashboarding with tools like Looker, Tableau, or similar.
* Confident translating complex data into actionable insight for varied audiences.
* Curious, collaborative, and proactive in solving problems.

What They Offer
Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth.

How to Apply
To register your interest, send your CV or apply below.

To Apply for this Job Click Here

Senior Global People Process Design & Improvement Lead

Peterborough

£500 - £550

+ Advanced Analytics & Marketing Insights

Contract
Peterborough, Cambridgeshire

To Apply for this Job Click Here

Location: Peterborough – 1 day per month onsite (some international travel required – frequency TBC)
Contract: 6 months
IR35: Outside IR35
Rate: £500-£550 per day
Start: ASAP / Ideally this month

Overview

The business is currently undergoing a large-scale global People transformation programme focused on standardising and optimising end-to-end people processes across the full hire-to-retire lifecycle.

This programme is heavily focused on creating scalable, globally aligned HR processes whilst balancing regional legal and compliance requirements across multiple countries. There is a strong focus on HRIS-enabled process design, operational efficiency, data quality and downstream reporting capability.

The role will work closely with People Operations, HR Technology, Global Process Owners, HR Business Partners and People Data & Analytics teams to drive future-state process design and continuous improvement across the organisation.

Role Focus

* Lead discovery and consolidation of existing people processes across countries and regions
* Run structured stakeholder workshops to validate current-state processes, identify pain points and capture improvement opportunities
* Design future-state global people processes across the full hire-to-retire lifecycle
* Define scalable global standards whilst accommodating local legal and compliance variations
* Partner closely with HR Technology / HRIS teams to ensure processes are system-enabled and operationally effective
* Work alongside People Data & Analytics teams to ensure data quality, reporting capability and accurate data capture at source
* Create clear, standardised and presentable process documentation and governance artefacts
* Support embedding of new global processes, governance and KPI frameworks
* Drive continuous improvement initiatives across HR operations and people processes
* Operate as a senior stakeholder-facing process lead across a global transformation environment

Required Experience

* Strong experience in global HR / People process design, transformation or optimisation programmes
* Proven experience designing end-to-end hire-to-retire processes
* Strong workshop facilitation and stakeholder management skills across multiple countries and regions
* Experience working alongside HR Technology / HRIS teams within global transformation programmes
* Strong understanding of balancing global process standardisation with local legal and compliance requirements
* Experience with SAP SuccessFactors environments, particularly Recruiting / Onboarding / Talent processes, is highly desirable
* Strong process mapping and documentation capability (As-Is / To-Be, BPMN, governance frameworks etc.)
* Experience defining process KPIs, governance and continuous improvement frameworks
* Comfortable operating independently within complex global transformation environments
* Lean / Six Sigma or broader continuous improvement exposure beneficial

To Apply for this Job Click Here

Forward Deployed Senior Data Scientist

$150000 - $175000

+ Data Science & AI

Permanent
USA

To Apply for this Job Click Here

Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

  • Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
  • Develop new AI‑driven technology stacks designed for specific customer use cases
  • Lead end‑to‑end delivery of AI projects, from scoping to production deployment
  • Partner with research, engineering, and software teams to deliver robust AI products
  • Define architectural standards and project roadmaps for scalable AI systems
  • Create evaluation frameworks for AI deployments, including performance, reliability, and observability
  • Mentor junior team members and help shape a culture of excellence and innovation
  • Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
  • Build agentic AI systems leveraging reasoning frameworks and orchestrators
  • Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

  • Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
  • Strong software and data science fundamentals (Python essential)
  • Experience building production‑grade AI systems and integrating them into customer environments
  • Ability to collaborate across research, engineering, and product teams
  • Experience working with large‑scale datasets and cloud‑based ML deployments
  • Strong organisational skills and the ability to communicate complex ideas clearly
  • Proven ability to operate independently in fast‑moving environments and manage competing priorities
  • Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

  • Publications in top AI/ML/NLP or decision science venues
  • Experience developing evaluation systems for LLMs or agentic models
  • Experience with fine‑tuning, post‑training, or advanced model adaptation
  • Familiarity with MLOps, monitoring, deployment, and large‑scale model management
  • Track record of converting research prototypes into production systems

THE OFFER

  • Competitive compensation (around $175,000 base depending on experience)
  • Opportunity to work on deeply impactful, high‑scale AI challenges
  • High degree of autonomy, technical ownership, and end‑to‑end influence
  • A fast‑paced, innovation‑driven environment with strong technical peers
  • Exposure to cutting‑edge modelling, LLMs, and agentic system development

To Apply for this Job Click Here

Lead AI Engineer

Pittsburgh

$175000 - $200000

+ Data Science & AI

Permanent
Pittsburgh, Pennsylvania

To Apply for this Job Click Here

Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

  • Lead the design and development of agentic AI systems from conception through production
  • Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
  • Build modular “skills” and components that plug into backend systems and data pipelines
  • Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
  • Guide Agile processes, technical planning, and day‑to‑day engineering execution
  • Partner with product and delivery teams to solve complex operational challenges
  • Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

  • Several years of experience building and deploying ML or LLM‑powered systems in production
  • Experience leading or mentoring engineering teams
  • Demonstrated expertise in LLM integration and agentic system development
  • Strong Python engineering skills
  • Hands‑on experience with cloud infrastructure (AWS preferred)
  • Familiarity with LLM algorithms, scaling patterns, and system reliability
  • Ability to operate autonomously in high‑pace, ambiguous environments
  • Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

  • Experience designing or deploying complex multi‑agent architectures
  • Exposure to startup or high‑growth engineering cultures
  • Experience with GenAI coding tools or best practices for agentic systems
  • Eligibility to work in secure or sensitive environments

THE OFFER

  • Ownership over next‑generation agentic AI strategy and architecture
  • Opportunity to lead a high‑impact engineering team
  • Work with cutting‑edge LLM and agentic technologies
  • Fast‑paced environment with strong technical autonomy

To Apply for this Job Click Here

Principal Machine Learning Engineer – ML Platform

$200000 - $230000

+ Data Science & AI

Permanent
USA

To Apply for this Job Click Here

Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

  • Designing, training, and deploying high‑scale ML models used in live systems
  • Building distributed training pipelines (PyTorch, Ray)
  • Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
  • Improving ML reliability, observability, and reproducibility
  • Working closely with engineering, SRE, and product to shape platform direction
  • Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

  • Strong experience delivering production ML systems end‑to‑end
  • Expertise with Python, PyTorch, distributed compute (Ray, Spark)
  • Background in large‑scale data processing and MLOps tooling
  • Ability to diagnose production issues and drive architectural improvements
  • Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

  • High ownership of ML platform direction
  • Complex, real‑world ML workloads at meaningful scale
  • Opportunity to improve and evolve existing infrastructure
  • Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

To Apply for this Job Click Here

Machine Learning Engineer, LLM

$180000 - $220000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Machine Learning Engineer, LLM (Applied AI/NLP)

Location: New York (Hybrid)

Compensation: $180K-$220K base + equity + bonus

About the Company

Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.

The Role

Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.

Key Responsibilities

  • Build and fine-tune LLMs for developer-focused use cases
  • Optimize models using prompt engineering, RAG, and inference techniques
  • Collaborate across teams to align AI capabilities with product goals
  • Mentor junior ML engineers and contribute to internal innovation

What You’ll Bring

  • 2-8 years in applied NLP/LLM development
  • Strong Python and ML stack (PyTorch, HuggingFace, etc.)
  • Experience with large code/text datasets and transformer models
  • Advanced degree in CS, AI, or NLP (PhD preferred)
  • Bonus: Publications in top-tier ML/NLP conferences

Why Join?

  • Competitive pay + equity + bonus
  • Direct impact on product innovation and IP
  • Full benefits: health, vision, dental, 401(k), generous PTO

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

Senior AI Engineer

Pittsburgh

$150000 - $175000

+ Data Science & AI

Permanent
Pittsburgh, Pennsylvania

To Apply for this Job Click Here

Senior AI Engineer

$175,000 Base Salary

Location: Pittsburgh, PA (Onsite)

THE COMPANY

This organisation operates within a highly secure, mission‑critical environment and is scaling its advanced AI engineering function. They focus on building intelligent, autonomous systems that streamline complex operational workflows and support high‑stakes decision‑making. The work is deeply technical, fast‑moving, and has genuine real‑world impact.

THE ROLE

You’ll be joining a small, high‑calibre engineering team focused on next‑generation agentic AI. The position involves building multi‑agent architectures, long‑horizon planning systems, and robust tools that enable agents to operate reliably at scale.

The ideal candidate loves solving ambiguous technical problems, has shipped LLM‑driven systems end‑to‑end, and thrives in a startup‑style environment.

KEY RESPONSIBILITIES

  • Design and build advanced agent‑based systems with planning, routing, memory, and tool‑use capabilities
  • Develop modular “skills” and components that integrate with internal services and data pipelines
  • Own architectural standards, scalability, and system reliability
  • Implement evaluation frameworks, behavioural telemetry, and regression testing
  • Partner closely with product and implementation teams to address complex operational challenges

EXPERIENCE REQUIRED

  • 5+ years building production ML or LLM-powered systems
  • Strong Python engineering background
  • Hands‑on experience with LLM integration, agent frameworks, and cloud infrastructure (AWS preferred)
  • Proven ability to build systems end‑to‑end in high‑ambiguity, high‑impact environments
  • Familiarity with Git, CI/CD, and modern engineering best practices

DESIRABLE EXPERIENCE

  • Multi‑agent coordination, tool orchestration, or agentic system design
  • Exposure to startup or rapid‑growth engineering teams
  • Eligibility for work in secure environments
  • Experience with front‑end frameworks (React/Next.js) is a bonus

THE OFFER

  • $175,000 base salary
  • High‑impact projects with substantial autonomy
  • Chance to shape a new generation of agentic AI capabilities
  • Work with exceptional technical peers in a deeply mission‑driven setting

To Apply for this Job Click Here