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QA Engineer (Automation)
Rotterdam, Netherlands | Competitive Salary + Benefits

This is an excellent opportunity for a QA Engineer with a passion for test automation to join a technology-focused organisation undergoing continued digital growth. You will play a key role in improving software quality, driving automation best practices, and helping deliver reliable products used by a large customer base.

The Company
They are a fast-growing digital business with a strong focus on technology, innovation, and customer experience. Their engineering teams work in a collaborative environment where quality is embedded throughout the development lifecycle. The organisation invests heavily in modern tools, automation, and scalable systems to support ongoing growth. This role offers the chance to influence testing strategy while working alongside experienced product and engineering professionals.

The Role

• Design, develop, and maintain automated test frameworks and test suites.
• Improve software quality through effective automation and continuous testing practices.
• Collaborate with developers, product teams, and engineers to define testing requirements.
• Identify, investigate, and document defects and support their resolution.
• Contribute to CI/CD pipelines and help integrate automated testing into deployment processes.
• Monitor test results and provide clear insights on product quality and performance.
• Support the development of quality assurance standards and testing best practices.
• Drive continuous improvement across testing processes, tools, and methodologies.

Your Skills & Experience

• Strong commercial experience in QA Engineering with a focus on test automation.
• Experience building and maintaining automated testing frameworks.
• Knowledge of modern programming or scripting languages used in test automation.
• Experience working with web application testing and API testing.
• Familiarity with CI/CD environments and automated deployment workflows.
• Understanding of software development lifecycles and agile delivery methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management capabilities.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working options and workplace flexibility.
• Access to modern technologies, tools, and engineering practices.
• Opportunities to contribute to testing strategy and automation initiatives.
• Clear career progression within a growing technology environment.
• A collaborative culture that supports learning, development, and knowledge sharing.

How to Apply
If you are a QA Engineer with strong automation skills and a passion for improving software quality, apply today to discuss this opportunity in more detail.

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Head of Analytics

London (Hybrid)

£140,000-£160,000 + Bonus

This is a high-impact opportunity to lead a centralised Analytics & MI function through a major transformation, with a particular focus on AI adoption, commercial insight, data strategy and decisioning; you’ll have significant exposure to the C-suite and the opportunity to shape how analytics is used across a fast-moving, data-rich financial services business!

The Company

This is an established and growing financial services business undergoing significant transformation across its analytics, decisioning and AI capabilities. The business is investing heavily in its data infrastructure and decisioning capabilities, while looking to move its analytics function beyond traditional reporting and towards actionable, commercially focused insight. You’ll join at an exciting point in that journey, with the opportunity to influence the analytics strategy and build a modern, AI-enabled function.

The Role

As Head of Analytics, you’ll report directly to the Chief Analytics Officer and lead a centralised Analytics & MI function supporting stakeholders across the business, including Finance, Marketing and the C-suite. The role blends strategic leadership and hands-on delivery, giving you the opportunity to influence the direction of the function while remaining close to the analytics itself. You’ll lead and develop the existing Analytics & MI team, while also line managing the Decision Engine Manager and overseeing the migration to a new decisioning platform.

Key responsibilities will include:

• Lead and develop a centralised Analytics & MI function
• Build a high-performing, insight-led analytics culture
• Develop managers and analysts and support future team growth
• Shift analytics from traditional reporting towards actionable commercial insight
• Improve data storytelling and senior stakeholder engagement
• Manage and prioritise a shared analytics workstack across Finance, Marketing and C-suite stakeholders
• Lead the adoption of AI tools within analytics, including LLM and coding tools
• Establish governance, best practice and optimisation around AI usage
• Oversee the development of scalable gold-layer datasets
• Drive reporting automation using modern data technologies such as Snowflake and Power BI
• Improve data structures, governance and reporting processes
• Line manage the Decision Engine Manager and oversee the migration to a new platform
• Influence business-wide analytics, data and decisioning strategy
• Act as a senior analytics voice across the organisation

A key part of the role will be understanding how AI can be applied commercially, rather than simply having theoretical knowledge of the technology. You’ll be expected to understand the evolving AI tooling landscape, its advantages and limitations, and how it can make analytics teams faster and more effective.

Your Skills & Experience

You’ll be an experienced Analytics leader with a strong track record of managing teams and influencing senior stakeholders.

I’m particularly interested in candidates with:

• Proven leadership experience across Analytics, MI or Data Analytics
• Experience managing and developing analytics teams
• Strong experience turning data into actionable commercial recommendations
• Proven ability to influence C-suite and senior stakeholders
• Strong hands-on technical capability, ideally including SQL and Python
• Experience working with modern data stacks such as Snowflake, Power BI or similar
• Experience improving data structures, reporting and analytics processes
• A strong understanding of data strategy and analytics transformation
• Practical experience using AI/LLM tools within analytics
• A good understanding of the wider AI tooling landscape and its commercial applications
• Experience embedding AI, automation or advanced analytics into business processes

Financial Services experience is strongly preferred, particularly candidates who have worked across areas such as lending, credit, banking, fintech or risk. Candidates with experience managing Risk Analytics or Risk teams would be particularly relevant. The client are also open to strong candidates from other data-rich, commercially driven sectors such as insurance, airlines or technology, provided you’re comfortable operating in a fast-moving and relatively unstructured environment.

The Benefits

• £140,000 – £160,000 salary
• Bonus – up to 20%

How to Apply

If you’re interested in this opportunity and have the analytics leadership, financial services/risk experience and practical AI exposure we’re looking for, please apply now. For more information, or to discuss the role confidentially, please contact Adam Osborne at Harnham.

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Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits

This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.

The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.

The Role

• Design, build, and maintain reliable, scalable cloud infrastructure.
• Improve platform availability, performance, and operational resilience.
• Develop and enhance monitoring, alerting, and observability capabilities.
• Automate infrastructure management and operational processes.
• Support the operation and reliability of AI and machine learning platforms.
• Collaborate with engineering teams to improve deployment, testing, and release processes.
• Drive incident response, root cause analysis, and continuous service improvements.
• Contribute to platform security, compliance, and best practice engineering standards.

Your Skills & Experience

• Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
• Expertise with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Hands-on experience with monitoring, logging, and observability solutions.
• Strong understanding of CI/CD pipelines and automation practices.
• Experience supporting production environments with high availability requirements.
• Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
• Excellent problem-solving, communication, and stakeholder engagement skills.

What They Offer

• Competitive salary package.
• Performance-related incentives and comprehensive benefits.
• Hybrid working and flexibility to support work-life balance.
• Exposure to modern cloud technologies and AI platforms.
• Career progression opportunities within a growing technology function.
• A collaborative environment focused on learning, innovation, and continuous improvement.

How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.

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AI Engineer (Senior Level)

Rotterdam | €140,000 base + bonus + equity + benefits

This is a rare opportunity to operate at founder level within a high growth business undergoing a full AI transformation. You will work directly alongside leadership to rebuild a profitable, scaled platform with AI at its core, owning what gets built and how it drives commercial impact.

The Company

They are a profitable, founder led scale up with a strong customer base across multiple international markets. Operating with a lean, highly execution focused team, they prioritise speed, ownership and outcomes. AI is not an experiment here, it is central to how the business is being rebuilt across product, pricing and customer experience. The environment is hands on, with no layers and a strong focus on delivering impact quickly.

The Role

You will act as a founding level individual contributor, identifying and building the most valuable AI opportunities across the business.

• Identify high impact business problems and translate them into AI driven solutions
• Define the commercial case for what should be built, focusing on revenue, margin and efficiency gains
• Design, build and deploy production grade AI systems across pricing, content, product and internal tooling
• Own the full lifecycle from idea through to deployment, measurement and iteration
• Work directly with founders on critical initiatives and strategic direction
• Continuously prioritise the highest leverage problems to maximise business impac
• Build scalable, cost efficient systems with strong awareness of LLM economics and architecture

Your Skills and Experience

• Strong experience building and deploying AI solutions in production environments
• Proven commercial mindset with the ability to link technical work to business outcomes
• Background as a technical founder, early stage CTO or high impact builder in a startup or scale up
• Ability to operate independently without predefined roadmaps or structured briefs
• Track record of initiating, owning and delivering impactful projects end to end
• Strong understanding of modern AI tooling, including LLMs, agents and automation framework
• Comfortable working in a fast moving, ambiguous environment with a focus on execution

What They Offer

• Base salary between €140,000 with a performance bonus
• Equity package aligned to a founding level hire
• Significant autonomy and direct access to founders
• High impact role within a scaled and profitable business
• Modern tooling budget including dedicated hardware allowance
• Opportunity to shape one of the most ambitious AI transformations in the Netherlands
• Clear scope to influence company wide strategy and outcomes

How to Apply

If you are excited by building commercially impactful AI systems at scale and operating with full ownership, please apply with your CV.

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Title: Senior AI Product Engineer
Location: San Francisco, CA (Hybrid)
Compensation: Up to $260,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you’ll help define how AI feels to the customer, not just how it’s built. You won’t own backend infrastructure, instead, you’ll make foundational decisions about how LLMs, agents, and RAG pipelines translate into real product experiences, working across streaming interfaces, agentic workflows, and guided automation in production.

What You’ll Do

• Build AI-powered product features end-to-end, from React/TypeScript UI through Node.js/Python backend, with real-time streaming and human-in-the-loop interaction patterns
• Partner with AI Engineers to define API contracts and output schemas, translating RAG pipelines and agentic workflows into intuitive interactions
• Advocate for the user’s perspective in technical decisions, surfacing where model outputs break down and iterating the product layer accordingly
• Build user-facing feedback loops that capture signal on AI output quality and feed it back to the broader AI team
• Instrument AI features with product-level observability, including latency, engagement, and drop-off, alongside full-stack integration testing
• Establish reusable patterns (streaming hooks, feedback components, AI state management) to accelerate future AI feature development
• Mentor engineers newer to AI product development and contribute to design reviews

Requirements

• 7+ years of software engineering experience with a proven track record shipping full-stack features in production, including 2+ years on AI-powered product features
• Strong proficiency in React and TypeScript, with experience building responsive UIs that handle async, streaming, and real-time data
• Solid Python and Node.js skills, with experience integrating APIs from LLM providers and orchestration frameworks
• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, and structured outputs in production
• Familiarity with agent frameworks (LangGraph, LangChain, or custom runtimes) and building product surfaces on agentic workflows
• Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and UIs that handle progressive or uncertain outputs
• Strong product sense and a track record of cross-functional collaboration with AI/ML engineers, PMs, and designers

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: AI/ML Engineer (All Levels)

Location: Bay Area (Hybrid)

Compensation: Up to $350,000 + Equity

We’re partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY’24 and 160% net revenue retention, they’re scaling fast and investing heavily in the AI engineering team that powers their core product.

This is a high-impact role where you’ll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team.

What You’ll Do

• Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality
• Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data
• Build the AI layer behind the platform’s core code generation capability, from prompt design and model selection through to fine-tuning and output validation
• Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system
• Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop

Requirements

• 4-6+ years of software engineering experience with meaningful AI/ML depth
• Proven experience building and shipping AI agents or coding agents in production
• Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs
• Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production
• Familiarity with AWS and Kubernetes for production AI deployment
• Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus
• Scale or Go experience is a bonus

If you’re a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year’s best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world’s largest enterprises.

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Workforce Analyst

Salary: £46k + Benefits
Location: 1x a month in Leeds Office – Remote
Type: Permanent Role

The Role:

• Lead analytical programmes supporting workforce, pay and reward strategies.
• Develop workforce models and financial forecasting to support business decision-making.
• Create “what-if” scenarios to assess the impact of policy and workforce changes.
• Deliver data-driven insights and recommendations to senior stakeholders.
• Produce clear reports, dashboards and analytical outputs for both technical and non-technical audiences.
• Support the development of workforce intelligence, planning and strategic decision-making.

Requirements:

• Advanced Excel skills.
• Proven experience analysing large and complex datasets.
• Strong workforce, people, financial or operational analytics experience.
• Experience developing predictive models and scenario analysis.
• Excellent communication skills with the ability to translate technical findings into actionable insights.
• Ability to manage multiple projects and competing priorities.

What Will Make You Stand Out:

• Experience with Python, R, SPSS or similar analytical tools.
• Power BI or other data visualisation experience.
• Previous leadership or line management experience.
• Knowledge of workforce planning, pay, reward or employment-related analytics.
• Experience working with large public sector or healthcare datasets.
• Strong stakeholder engagement skills across technical and non-technical teams.

If you are interested in the role please apply. To follow up please email me or message me on LinkedIn.

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QA Automation Engineer

Location: London (Hybrid, 2 days per week)

Salary: £75k + Benefits

Type: Permanent Role

The Role:

· Join a high-growth technology business developing innovative digital financial products.

· Design, build and maintain automated testing solutions across a modern microservices environment.

· Work closely with Product Managers, Developers and QA colleagues to ensure high-quality software delivery.

· Drive automation best practices and reduce reliance on manual testing.

· Execute smoke, regression, functional and API testing activities.

· Leverage AI-powered tools to improve testing efficiency and productivity.

Requirements:

· Proven years of experience in QA Automation Engineering.

· Strong Java and/or Kotlin programming skills.

· Experience with Selenium, Selenide or Playwright.

· Strong API testing expertise.

· Knowledge of TestNG, JUnit and automation frameworks.

· SQL and database testing experience.

· Experience with CI/CD pipelines and GitHub Actions.

· Previous experience within Agile teams.

What Will Make You Stand Out:

· Experience testing microservices architectures.

· Exposure to JMeter or Gatling.

· Experience with Elasticsearch and Sentry.

· Strong understanding of modern web technologies.

· Experience using AI tools to enhance testing workflows.

· Excellent communication and collaboration skills.

if you are interested in the role please apply. To follow up please email or message me on LinkedIn.

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