Harnham

About the Company

Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU - contact us today to discuss your requirements: info@harnham.com

Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions.

Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements.

Our five core services:

* ATD - Rockborne - our graduate development arm - deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a

* Contract / C2C / Freelance: Whether you're addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success.

* Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era.

* Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.

* GenAI, Prompt, LLM Training: Elevate your team's data expertise with our all-encompassing training programs covering essential tools and technologies such as Python, SQL, Machine Learning, LLM's and AI. Highly bespoke, customised to your team learning requirements and budgets.

Listed Jobs

Company Name

Harnham

Job Title

Lead Marketing Analyst

Job Description

Job Title: Lead Marketing Analyst Role Summary: Lead marketing analytics for a global gaming studio, overseeing CRM, paid media, lifecycle, and subscription funnels. Drive data-driven decision making, build LTV models, forecasting, and experimentation to support marketing spend and growth targets. Expectations: - Own end‑to‑end analytics for key marketing channels and subscriber life cycle. - Translate complex data into clear, actionable insights for marketing, finance, and executive leaders. - Mentor and collaborate with senior analysts and cross‑functional teams. Key Responsibilities: - Develop and maintain dynamic LTV models tied to attribution cohorts. - Build, own, and report on forecasts linking marketing spend to growth outcomes. - Design, run, and interpret uplift/incrementality experiments where attribution is weak. - Provide attribution oversight across PC and mobile pipelines, ensuring data accuracy and reliability. - Partner with marketing, finance, and executive teams to deliver insights that drive strategy. - Evaluate and manage external partners, including vendors and data providers. Required Skills: - Advanced SQL; experience with LTV modelling, forecasting, and experimentation. - Strong data storytelling and visualization abilities. - Familiarity with Media Mix Modelling and attribution validation (preferred). - Vendor management and RFP experience (preferred). - Knowledge of gaming or subscription analytics. Required Education & Certifications: - Bachelor’s degree in Statistics, Economics, Marketing Analytics, Data Science, or related field. - Professional certifications in analytics or data science (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist) are a plus.

United kingdom

Remote

Senior

29-10-2025

Company Name

Harnham

Job Title

Platform Engineer

Job Description

Job Title: Platform Engineer Role Summary: Design, build and scale core systems of a next‑generation trading platform that blends cloud engineering with fintech. Own Google Cloud infrastructure, Kubernetes clusters, and Terraform‑driven IaC, while contributing to backend services in Python and PostgreSQL to deliver performance, reliability and scalability. Work closely with founders and senior engineers to shape the product from the ground up. Expectations: Proven ability to develop complex, mission‑critical systems, preferably in financial services or high‑growth SaaS environments. Demonstrated experience with cloud platforms, container orchestration, IaC, and Python‑based backend development. Strong builder mindset, willingness to own infrastructure and application layers, and ability to collaborate across small elite teams in fast‑paced, early‑stage settings. Key Responsibilities: - Architect and implement core infrastructure on Google Cloud Platform. - Manage Kubernetes deployments and scale clusters for high availability. - Provision resources using Terraform and enforce IaC best practices. - Develop and maintain backend services in Python with PostgreSQL ensuring performance and reliability. - Monitor system health, optimize latency, and conduct capacity planning. - Participate in code reviews, continuous integration/deployment pipelines, and operational runbooks. - Collaborate with engineering team and founders to steer product direction and technical strategy. Required Skills: - Google Cloud Platform (Compute Engine, GKE, Cloud Storage, etc.) - Kubernetes cluster administration (kubectl, Helm, CSI, etc.) - Terraform and IaC fundamentals (architecture, modules, versioning) - Python backend development with experience in SQL/PostgreSQL - CI/CD pipeline setup (GitHub Actions, GitLab CI, ArgoCD, etc.) - Performance tuning, monitoring (Prometheus, Grafana) and alerting - Strong problem‑solving, debugging, and communication abilities - Knowledge of fintech or trading platform architectures is a plus Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Software Engineering or related field, or equivalent professional experience. - Certifications such as Google Professional Cloud Architect, Cloud DevOps Engineer or Kubernetes Administrator (CKA/CKAD) are desirable.

London, United kingdom

On site

30-10-2025

Company Name

Harnham

Job Title

Lead Data Scientist

Job Description

**Job Title:** Lead Data Scientist **Role Summary:** Lead consulting engagements that integrate machine learning, generative AI, simulation, and data science to deliver measurable business outcomes across defence, consumer, and public sectors. Act as a technical and business partner, coach team members, and shape delivery practices. **Expectations:** - 3–5 years of lead‑level experience (4–6+ years for Principal role). - Proven track record of measurable impact through AI/ML/data‑driven solutions. - Strong consulting acumen with the ability to influence senior stakeholders. - Willingness to travel across the UK, on site 2–3 days per week (some engagements may require more). - Eligibility for UK security clearance is a plus; not all roles require it. **Key Responsibilities:** - Design, architect, and deliver end‑to‑end AI and data science solutions, including generative models and simulation. - Translate data insights into actionable business strategies and measurable outcomes. - Co‑sell and pitch solutions to client partners, driving revenue and adoption. - Mentor and coach junior data scientists and analysts, fostering skills development. - Contribute to the development of consulting methodology, standards, and best practices. - Stay current with emerging AI, ML, simulation, and data technologies; provide thought leadership. **Required Skills:** - Advanced proficiency in machine learning, generative AI (e.g., GPT, diffusion models), and simulation techniques. - Strong data engineering, model deployment, and analytics capabilities. - Consulting experience with proven client influence and stakeholder management. - Excellent communication, presentation, and storytelling skills. - Critical thinking, independent judgment, and a propensity to challenge conventional approaches. - Ability to work collaboratively in cross‑functional teams and mentor others. **Required Education & Certifications:** - Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, or a related field (advanced degrees preferred). - Relevant certifications in AI/ML (e.g., TensorFlow, Microsoft Azure AI, AWS AI/ML, NVIDIA Deep Learning) are desirable. - Demonstrated ability to apply technical expertise within a consulting context.

London, United kingdom

On site

Senior

30-10-2025

Company Name

Harnham

Job Title

VP of Engineering

Job Description

**Job Title**: VP of Engineering **Role Summary**: Executive technical leader responsible for shaping and executing the engineering vision for an AI‑driven SaaS platform. Leads a high‑performing engineering team, drives product innovation, and ensures scalable, secure, and performant solutions. **Expectations**: - Deliver technology strategy aligned with product and business goals. - Foster an Agile, high‑quality engineering culture. - Scale engineering operations to support rapid growth. - Communicate effectively with senior leadership, product, and design teams. **Key Responsibilities**: - Lead end‑to‑end technical development of AI‑driven property‑management solutions. - Write, review, and optimize code while enforcing engineering best practices. - Manage, mentor, and grow a team of software and AI engineers. - Define and evolve the technical architecture, roadmap, and standards. - Collaborate with product and design to deliver high‑impact features on schedule. - Drive innovation in automation, AI integration, and system scalability. - Ensure reliability, performance, and security across all products. - Contribute to strategic planning and long‑term technological direction. **Required Skills**: - Strong command of Python, Node.js, and AI/ML integration. - Experience with cloud infrastructure (AWS, Azure, or GCP). - Proven ability to lead engineering teams in high‑growth environments. - Excellent problem‑solving, communication, and organizational skills. - Product mindset focused on solving real‑world problems and enhancing user experience. **Required Education & Certifications**: - First‑class or equivalent degree in Computer Science, Engineering, or related discipline.

London, United kingdom

On site

Senior

06-11-2025