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SENIOR ACTUARIAL ANALYST

SALARY BETWEEN £60,000-£80,000

LONDON

HYBRID WORKING (ONCE A MONTH IN-OFFICE)

Harnham are working with a growing and innovative insurance provider that is looking to hire a Senior Actuarial Analyst to join its actuarial function. This is an excellent opportunity to take ownership of key modelling activities within a highly collaborative business and gain exposure across multiple areas of insurance.

THE COMPANY

This growing insurance business is continuing to invest in its actuarial and analytical capabilities as it expands. Operating in a fast-paced and collaborative environment, the company offers significant responsibility from day one, broad exposure across multiple areas of the business, and the opportunity to work closely with senior decision-makers on commercially important projects. This is an excellent opportunity to join a high-performing team and play a key role in supporting the organisation’s ongoing growth and development.

THE ROLE

As a Senior Actuarial Analyst, you will play a key role in supporting the organisation’s capital modelling, reserving, and wider actuarial activities. You’ll work closely with senior stakeholders and contribute to business-critical decisions through modelling, forecasting, and analytical insights.

Specifically, you can expect to be involved in the following:

• Running, maintaining, and enhancing capital modelling processes using Python.
• Supporting reserving analyses, monitoring portfolio performance, and contributing to periodic reserve reviews.
• Supporting regulatory reporting and solvency-related calculations.
• Conducting reserving analyses and monitoring performance trends.
• Building forecasting and scenario models to support strategic decision-making.
• Collaborating with pricing, underwriting, and wider business teams on key projects.

SKILLS AND EXPERIENCE

The successful Senior Actuarial Analyst will have the following skills and experience:

• Experience within general insurance, ideally in reserving, capital modelling, pricing, or a related actuarial function.
• Strong quantitative background with a degree in Mathematics, Statistics, Actuarial Science, Data Science, or a similar discipline.
• Proficiency in Python and experience developing or maintaining analytical models.
• Ability to communicate technical findings to both technical and non-technical stakeholders.
• Self-motivated, proactive individual who thrives in a fast-paced environment.

BENEFITS

The successful Senior Actuarial Analyst will receive a salary up to £80,000.

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AI & Machine Learning Lead

Amsterdam, Netherlands | €80,000 – €110,000 base salary + bonus

This is an opportunity to take ownership of AI and machine learning strategy within a highly visible technology business. You’ll have the autonomy to shape technical direction, influence product decisions, mentor a growing team, and drive the adoption of modern AI solutions that directly impact millions of users.

The Company
They are a fast-moving digital business with a flat structure, strong technical culture, and significant market reach. Despite being relatively small in size, they operate at scale and provide a level of influence and visibility that is difficult to find in larger organisations.
The business is investing heavily in the future of AI and machine learning, with a clear ambition to evolve beyond traditional approaches and embed AI more deeply across products and services. This role will play a key part in defining that journey.

The Role
As AI & ML Lead, you will be the technical and strategic authority for machine learning and AI initiatives across the business.
Key responsibilities include:

• Leading, mentoring, and developing a team of Data Scientists
• Defining and owning the AI and machine learning strategy
• Modernising existing recommendation and search capabilities
• Evaluating emerging AI technologies and identifying opportunities for adoption
• Driving AI-first thinking across product and technology teams
• Guiding model selection, evaluation frameworks, and MLOps best practices
• Making informed build vs buy decisions for AI solutions and vendors
• Partnering closely with Product and Engineering leaders to shape roadmaps
• Identifying high-impact use cases across recommendations, search, fraud detection, and behavioural modelling
• Influencing prioritisation decisions through data-driven insights and business impact assessment
• Championing best practices for deploying and maintaining machine learning models in production

Your Skills & Experience

• Strong commercial experience designing, deploying, and scaling machine learning solutions in production environments
• Experience working on recommendation systems, search platforms, ranking models, personalisation, marketplace products, or similar challenges
• Proven ability to define technical strategy and influence business direction
• Experience leading, mentoring, or managing Data Science and Machine Learning teams
• Strong understanding of modern machine learning, MLOps, and production model lifecycle management
• Experience deploying models using modern cloud-based data and AI platforms, ideally including Databricks
• Knowledge of Generative AI, LLM applications, RAG architectures, fine-tuning, or related technologies
• Strong stakeholder management and communication skills
• Ability to work effectively in a fast-paced environment with evolving priorities

What They Offer

• €80,000 – €110,000 base salary
• Total compensation package up to approximately €90,000 – €140,000 including bonus
• Flexible working environment with an office-first culture
• Opportunity to work abroad for up to one month per year
• Relocation support and visa sponsorship available
• Direct access to senior leadership and decision-makers
• Significant ownership of AI strategy, team development, and technology direction
• Clear opportunity to shape the future structure and capability of the AI function

How to Apply
If you are an experienced AI and Machine Learning leader looking to shape strategy, build high-impact products, and drive innovation at scale, please apply today.

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Data and Analytics Engineering Manager

Amsterdam | €122,000 base salary + bonus

This is a high-impact Analytics Engineering Manager opportunity for a leader who enjoys combining people management, technical ownership, and strategic delivery. You will shape the data foundation that supports business-critical decision making, working at scale while driving engineering excellence, reliability, and innovation across a modern data platform.

The Company
They are a well-established digital organisation with a data-driven culture and a strong commitment to technology and analytics. Data sits at the heart of how they operate, enabling teams across the business to make informed decisions and deliver better outcomes. They are investing in their data capabilities and are looking for an experienced Analytics Engineering Manager to lead a critical area of their data estate. Their environment offers both technical complexity and strong visibility with senior stakeholders.
The Role

• Lead, coach, and develop a team of Analytics Engineers and Data Engineers
• Own data ingestion pipelines, data modelling, warehouse orchestration, and platform automation
• Drive the adoption of engineering best practices including CI/CD, code review, testing, and version control
• Build and maintain reliable, scalable, and high-performing data platforms and pipelines
• Establish strong data quality, monitoring, observability, and incident management processes
• Define and govern a trusted semantic layer to ensure consistency of business metrics
• Optimise platform performance and cloud data warehouse costs
• Partner with analytics, product, engineering, and business stakeholders to deliver scalable data solutions
• Communicate platform strategy, roadmap, risks, and investment priorities to senior leadership
• Identify opportunities to leverage AI and automation to improve engineering productivity and delivery

Your Skills & Experience

• Strong commercial experience leading Analytics Engineering or Data Engineering teams
• Deep expertise in modern cloud data platforms such as Snowflake, Databricks, or GCP-based ecosystems
• Advanced knowledge of data modelling, data warehousing, ELT/ETL design, and pipeline orchestration
• Experience with tools such as dbt, Airflow, or comparable data transformation and orchestration platforms
• Strong understanding of data quality, testing, monitoring, and observability frameworks
• Experience implementing CI/CD, automated testing, and software engineering best practices for data teams
• Ability to balance people leadership, technical direction, and delivery management
• Strong stakeholder management and communication skills, including engagement with senior leadership
• Experience managing platform costs, performance optimisation, and scalability initiatives
• Exposure to AI-assisted engineering workflows or data platform automation is advantageous

What They Offer

• €122,000 base salary plus bonus
• Comprehensive benefits package
• Leadership position with significant ownership and influence
• Opportunity to shape the future of a large-scale data platform
• Access to modern cloud technologies and advanced data tooling
• Clear career progression within a growing data and technology function
• Collaborative and supportive working environment

How to Apply
If you are an experienced Analytics Engineering Manager looking to lead a high-performing team and drive the evolution of a modern data platform, please apply today.

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Group Product Manager – AI
Amsterdam (Hybrid, 2 days per week in the office) | €134,000 base salary + bonus (c. €164,000 total package)

This is a rare opportunity for a Group Product Manager to shape the future of a large-scale digital marketplace used by millions of customers. You will own high-impact product areas at the heart of the customer experience, lead a team of Product Managers, and play a key role in defining how AI transforms search, discovery, and customer journeys.

The Company
They are a well-established online marketplace business operating at significant scale, backed by strong investment while maintaining the agility and pace of a modern technology organisation. With a lean structure and highly collaborative culture, they offer the opportunity to make visible business impact without excessive hierarchy.
The business is investing heavily in product innovation, customer experience, and AI-driven capabilities. This creates an environment where product leaders can influence strategy, shape roadmaps, and deliver meaningful change across a complex digital ecosystem.

The Role
As Group Product Manager, you will own a critical product domain focused on marketplace experience, search, discovery, and customer-product matching.
Key responsibilities include:

• Define and execute the product vision for core marketplace experiences
• Lead and develop a team of Product Managers, creating a culture of ownership and customer focus
• Drive major transformation programmes across search, homepage experience, and discovery journeys
• Improve search relevance and customer-product matching through data-driven product decisions
• Shape the adoption of AI across customer experiences, including search, listing creation, and platform interactions
• Partner closely with engineering, data, design, and commercial stakeholders to align priorities and deliver outcomes
• Influence product strategy across the organisation and elevate product thinking at leadership level
• Own product roadmaps, prioritisation, and success metrics for high-profile initiatives
• Identify opportunities to improve customer engagement, marketplace liquidity, and commercial performance
• Monitor market trends, customer behaviour, and emerging technologies to inform product direction

Your Skills & Experience

• Strong experience leading product teams within marketplace, e-commerce, or platform businesses
• Proven success delivering large-scale product initiatives with measurable business impact
• Deep understanding of search, discovery, customer journeys, and marketplace dynamics
• Experience operating across complex stakeholder environments, balancing commercial and technical priorities
• Strong product leadership capabilities, with experience mentoring and developing Product Managers
• Data-informed approach to product strategy, experimentation, and decision making
• Experience working with AI-driven products, personalisation, recommendations, or search technologies
• Ability to define strategic vision while remaining effective in execution and delivery
• Excellent communication and influencing skills across multiple levels of an organisation

What They Offer

• €134,000 base salary
• Bonus scheme taking total compensation to approximately €164,000
• Hybrid working model with 2 days per week in the Amsterdam office
• Visa sponsorship available
• High visibility role with direct influence on company-wide product strategy
• Opportunity to lead business-critical transformation initiatives
• Career progression within a highly impactful product organisation
• Access to significant investment, resources, and strategic technology partnerships

How to Apply
If you are an experienced Group Product Manager with a background in marketplace or e-commerce products and are excited by the opportunity to transform search, discovery, and AI-driven customer experiences, apply today.

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Senior Data Analyst

Amsterdam | Up to €100,000 + Benefits

This is an opportunity to join a leading digital platform business where data sits at the heart of commercial, product, and customer decisions. You will work with large-scale datasets, influence senior stakeholders, and help shape the direction of a business used by millions of customers across the region.

The Company
They are a well-established digital marketplace and technology business with a strong presence across Europe. Their platform connects millions of users and businesses, creating meaningful commercial and customer interactions every day. Data is central to how they operate, and they continue to invest heavily in analytics, experimentation, and data-driven decision making. The environment is collaborative, fast-paced, and focused on innovation.

The Role
You will act as a strategic analytics partner, helping teams make better decisions through data, insight, and experimentation.

Responsibilities include:

• Partner with product, commercial, and marketing stakeholders to understand business challenges and define analytical priorities
• Translate complex business questions into clear analytical frameworks and actionable recommendations
• Identify opportunities and risks across customer acquisition, retention, monetisation, and conversion
• Analyse large, complex datasets to uncover trends and business insights
• Build dashboards and reporting solutions focused on key business and performance metrics
• Communicate findings to a range of stakeholders, including senior leadership
• Support experimentation, measurement frameworks, and data-driven product development
• Collaborate with data and technology teams to improve data quality, tracking, and analytical scalability

Your Skills & Experience

• Strong commercial experience in data analytics within a digital product, marketplace, e-commerce, or technology environment
• Advanced SQL skills, including complex querying and optimisation
• Strong Python experience for analysis, modelling, and automation
• Experience working with modern cloud data platforms such as Databricks, BigQuery, AWS, or similar
• Experience using Tableau or comparable BI visualisation tools
• Strong understanding of digital business metrics, customer behaviour, and revenue drivers
• Experience influencing business decisions through data and stakeholder engagement
• Excellent communication skills with the ability to present technical findings to non-technical audiences
• Familiarity with experimentation, measurement, and modern analytics practices

What They Offer

• Salary up to €100,000
• Comprehensive benefits package
• Exposure to high-impact product and commercial decision making
• Opportunity to work with large-scale data and modern analytics technologies
• Clear career progression within a data-driven organisation
• Collaborative and supportive working environment

How to Apply
If you are passionate about using data to drive business impact and want to work in a highly visible Senior Data Analyst role, please apply today.

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AI Consultant

The Hague / Den Haag
Up to €85,000 + bonus

This is a unique opportunity to work at the intersection of Artificial Intelligence, software, and strategic value creation in a Private Equity firm. You will partner with leadership teams and technology stakeholders to identify high-impact AI opportunities, drive adoption, and help shape the future of software businesses. The role offers significant exposure to senior decision-makers, diverse projects, and clear career progression.

The Company
They are a leading investment and growth-focused organization with a strong presence across Europe and an extensive portfolio of technology businesses. They specialize in supporting software companies through strategic guidance, operational expertise, and long-term value creation initiatives. With continued growth and increasing demand for AI-driven transformation, they are expanding their specialist team focused on operational excellence and innovation. Their culture is collaborative, entrepreneurial, and focused on continuous learning and development.

The Role
You will play a key role in identifying, assessing, and supporting AI initiatives across a portfolio of software businesses.
Responsibilities include:

• Identifying and prioritising AI opportunities within software development, product strategy, customer experience, analytics, and operational processes.
• Translating AI opportunities into structured roadmaps, business cases, implementation plans, and measurable success metrics.
• Advising leadership teams on the most impactful initiatives based on value, feasibility, and organisational readiness.
• Supporting stakeholder alignment across product, engineering, commercial, and executive teams to drive successful AI adoption.
• Monitoring business impact through KPI development, performance tracking, and ongoing evaluation.
• Assessing AI maturity, technology capabilities, data readiness, and opportunity areas as part of strategic investment and growth initiatives.
• Delivering clear recommendations that bridge technical insight with commercial impact.
• Contributing to AI frameworks, methodologies, and best practices that can be scaled across multiple businesses.

Your Skills & Experience

• Strong commercial experience in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Business Analytics, or a related field.
• Experience within consulting, technology advisory, product strategy, software engineering, data engineering, or a similar environment.
• Strong understanding of AI, data, software development, and technology-driven business transformation.
• Ability to translate technical concepts into practical business recommendations and measurable outcomes.
• Experience working with senior stakeholders and leading discussions across technical and non-technical audiences.
• Strong analytical, problem-solving, presentation, and stakeholder management skills.
• Experience defining KPIs, measuring outcomes, and evaluating business impact.
• Interest in AI applications across software products, engineering functions, and technology organisations.
• Fluent English communication skills. Additional European languages are advantageous.

What They Offer

• Competitive salary and benefits package.
• Exposure to a broad range of software and technology businesses.
• Significant responsibility and autonomy from an early stage.
• Opportunity to work on high-impact AI and digital transformation projects.
• Structured career development and long-term progression opportunities.
• Collaborative and supportive working environment with a strong learning culture.
• Health, wellbeing, and employee benefits designed to support work-life balance.

How to Apply
If you are passionate about Artificial Intelligence, software innovation, and delivering measurable business impact, apply today to learn more about this AI Associate opportunity.

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Senior / Staff Backend Engineer
Location: New York City – Tribeca (4 days onsite)
Salary: $155,000 – $225,000 + Equity + Benefits

Join a high-growth technology business that is transforming a large, traditional industry through innovative software. This is an opportunity to take ownership of meaningful products, influence technical direction, and work closely with Product and Design teams to deliver solutions that directly impact customers at scale. If you enjoy building scalable backend systems in a collaborative, fast-moving environment, this role offers both challenge and career growth.

The Company
They are a venture-backed technology company building a modern platform that empowers independent businesses to grow and succeed. Their product combines software, marketplace capabilities, and operational tools to create a seamless experience for both service providers and end customers.

Having experienced significant growth, they continue to invest heavily in their engineering function and technology platform. Their culture promotes ownership, collaboration, and continuous improvement, enabling engineers to make a visible impact on both product and business outcomes.

The Role
As a Senior / Staff Backend Engineer, you will play a key role in designing, building, and scaling core platform capabilities.

Responsibilities include:

• Designing and developing backend services using Python and Django
• Building and maintaining scalable REST APIs for customer-facing products
• Contributing to system architecture decisions and technical strategy
• Developing solutions across onboarding, booking, workflow, and operational platforms
• Working closely with Product and Design teams to shape and deliver new features
• Improving platform performance, reliability, and scalability
• Integrating with third-party services and external platforms
• Supporting best practices for code quality, testing, and maintainability
• Taking ownership of projects from concept through to production deployment

Your Skills & Experience

• Strong commercial experience developing backend applications with Python
• Experience building production systems with Django or similar web frameworks
• Expertise in designing and delivering REST APIs
• Strong understanding of distributed systems and scalable application architecture
• Experience working with relational databases and ORM technologies
• Ability to translate business problems into technical solutions
• Experience owning projects through design, implementation, and deployment
• Strong communication and collaboration skills
• Background working within product-led technology businesses, SaaS platforms, marketplaces, or high-growth technology environments
• Familiarity with AWS cloud technologies is beneficial
• Exposure to Kubernetes is advantageous but not essential

What They Offer

• Clear progression opportunities at Senior and Staff level
• High levels of ownership and technical autonomy
• Collaborative engineering culture with close cross-functional partnership
• Opportunity to work on modern Python and Django technologies at scale
• Exposure to complex technical challenges within a rapidly growing business

How to Apply
If you are a Backend Engineer with strong Python and Django experience looking to make a significant impact in a product-focused technology company, please apply today.

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AI Transformation Builder

Rotterdam | Up to €220,000 Base + 30-50% Bonus + Equity + Premium Benefits

This is a rare opportunity to join an ambitious business undergoing a company-wide AI transformation. Rather than joining a traditional AI team, you will operate as a high-impact individual contributor, identifying commercial opportunities, building AI solutions, and delivering measurable business outcomes across the entire organisation.

The Company
They are a profitable, founder-led technology business operating at significant scale across multiple international markets. Having established a strong market position, they are now investing heavily in AI to transform how the business operates, from customer experience and pricing to internal productivity and automation.
The environment is fast-paced, highly entrepreneurial, and focused on execution. There are no layers of management, lengthy approval processes, or rigid roadmaps. Instead, the focus is on identifying opportunities, building solutions, and delivering results.

The Role
As an AI Transformation Builder, you will work directly with founders and senior stakeholders to identify the highest-value opportunities across the business and turn them into production-ready AI solutions.
Key responsibilities include:
* Identifying commercial opportunities where AI can drive revenue growth, efficiency, or customer value
* Defining business cases and prioritising initiatives based on measurable impact
* Designing, building, and deploying AI-powered products and internal tools
* Developing agentic workflows, automation solutions, and AI-driven customer experiences
* Improving pricing, content, product, and operational systems through applied AI
* Owning the full lifecycle from idea generation through to deployment, measurement, and optimisation
* Working independently without the need for detailed specifications or roadmap guidance
* Collaborating directly with founders on business-critical initiatives
* Constantly evaluating and solving the next highest-impact problem

Your Skills & Experience
* Strong experience building AI solutions in production environments
* Commercial mindset with the ability to identify business opportunities and quantify impact
* Experience delivering products or platforms that have generated measurable results
* Strong understanding of LLMs, agents, AI automation, and modern AI tooling
* Ability to operate independently and thrive in ambiguous environments
* Track record of initiating, owning, and shipping complex projects
* Strong communication skills with both technical and business stakeholders
* Entrepreneurial mindset and a passion for building

Highly desirable backgrounds include:
* Technical Founder
* Startup CTO
* Early-stage technology leader
* Product-focused AI Builder
* Scale-up technology leader with hands-on delivery expertise

What They Offer
* Salary up to €220,000 base
* 30-50% annual bonus
* Equity participation
* €15,000 hardware allowance
* Direct access to founders and strategic decision-making
* End-to-end ownership of high-impact initiatives
* Opportunity to shape one of the most ambitious applied AI transformations in the Netherlands
* The scale and resources of an established business combined with the pace and autonomy of a startup
* Exposure to business-critical AI initiatives spanning customer experience, pricing, operations, and automation

How to Apply
If you are a commercially-minded AI builder who thrives on ownership, execution, and solving high-value business problems, apply today to learn more about this unique opportunity.

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AI Engineer
Amsterdam | €60,000 – €85,000 incl. 8% Holiday Allowance

This is an exciting opportunity for a curious and ambitious AI Engineer to help transform a customer journey through practical AI applications. You’ll work across product, technology, and operations, applying AI to real business challenges while developing your skills in a fast-growing environment.

The Company
They are a technology-led financial services business with a strong focus on innovation, customer experience, and automation. Their mission is to simplify complex customer processes through smart technology and data-driven decision-making. AI is becoming a core part of their product strategy, creating an opportunity to influence how customers and internal teams interact with key services. You will join a collaborative team where learning, experimentation, and ownership are highly valued.

The Role
As an AI Engineer, you will design, develop, and improve AI-powered solutions that enhance both customer and employee experiences.

Key responsibilities include:
* Designing and implementing AI-driven applications, workflows, and product features
* Translating business challenges into practical AI solutions
* Integrating LLMs, APIs, and AI services into existing systems and processes
* Creating evaluation frameworks, test datasets, and quality metrics for AI products
* Monitoring AI performance and identifying opportunities for continuous improvement
* Analysing user feedback, product metrics, and production data to optimise solutions
* Collaborating closely with software engineers, domain experts, and compliance stakeholders
* Supporting software development activities when required across front-end and back-end environments
* Contributing to the long-term AI strategy and product roadmap

Your Skills & Experience
* Strong analytical and problem-solving capabilities
* Fluency in Dutch, both written and spoken
* Ability to quickly learn and understand complex business domains
* Affinity with technology, software development, and AI applications
* Experience in a technical, analytical, product, or business-focused role
* Excellent communication skills and the ability to work with both technical and non-technical stakeholders
* Interest in AI technologies, LLMs, and emerging AI products

Beneficial experience includes:
* Python, TypeScript, or other programming languages
* LLM applications and prompt engineering
* Agentic workflows, RAG, orchestration frameworks, or AI tooling
* API integrations
* Product experimentation, evaluation frameworks, and quality measurement
* Monitoring, analytics, and observability tools
* Experience within financial services environments

What They Offer
* Salary of €60,000 – €85,000 inclusive of holiday allowance
* Permanent full-time position
* Hybrid working environment based in Amsterdam
* Opportunity to work directly on customer-facing AI products
* Strong exposure to AI, product development, and software engineering
* Significant learning and career development opportunities
* Direct collaboration with experienced founders and cross-functional teams

How to Apply
If you’re excited about applying AI to real business problems and want to build impactful products in a collaborative environment, apply today to learn more about this opportunity.

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Senior Machine Learning Engineer (MLOps)
Amsterdam | Up to €110,000 + 10% Bonus

This is an opportunity to join a rapidly scaling Machine Learning Platform team building the infrastructure behind real-time machine learning products in a high-volume environment. You will work on systems that enable Data Scientists to develop, deploy, and scale models that directly influence critical business outcomes, while helping shape the future of a growing ML platform.

The Company
They are a global technology business operating at significant scale, processing billions of transactions and delivering products used by customers around the world. Data and machine learning are central to their strategy, with dedicated teams focused on developing intelligent, high-impact products. The organisation continues to invest heavily in platform engineering, MLOps, and AI capabilities, creating excellent opportunities for technical growth and ownership.

The Role
As a Senior Machine Learning Engineer, you will play a key role in developing and scaling the machine learning platform that supports multiple data science teams.
Responsibilities include:
* Building, maintaining, and improving training and deployment pipelines for machine learning models
* Designing scalable infrastructure for model serving, experimentation, and monitoring
* Supporting feature store development across online and offline use cases
* Developing observability and monitoring solutions for production ML systems
* Improving model deployment and release processes
* Contributing to real-time inference systems operating at large scale
* Collaborating closely with Data Scientists to productionise machine learning solutions
* Driving engineering best practices across the ML platform
* Mentoring engineers and contributing to technical decision-making

Your Skills & Experience
* Strong commercial experience building production-grade software with Python
* Experience designing and operating machine learning systems in production environments
* Strong understanding of MLOps principles and the machine learning lifecycle
* Experience working with cloud platforms, preferably AWS
* Knowledge of monitoring, observability, and platform reliability practices
* Familiarity with distributed data processing technologies such as Spark or Databricks
* Experience building scalable deployment and inference solutions
* Strong communication skills and the ability to collaborate across engineering and data science teams
* Comfortable solving complex technical challenges in an evolving environment
Experience with technologies such as Python, Databricks, PySpark, XGBoost, scikit-learn, Terraform, Kafka, Triton Inference Server, DynamoDB, BigQuery, and AWS would be beneficial.

What They Offer
* Salary up to €110,000 depending on experience
* 10% annual bonus
* Hybrid working model with three days per week in the Amsterdam office
* Relocation support
* Visa sponsorship available
* Opportunity to work on large-scale machine learning systems with significant business impact
* Clear progression opportunities within a growing Machine Learning and Platform Engineering function

How to Apply
If you are passionate about Machine Learning Engineering, MLOps, and building scalable production systems, apply today to discuss this opportunity in more detai

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Machine Learning Engineer (MLOps)
Amsterdam | €60,000 – €87,000 + 8% Holiday Allowance + 10% Bonus

This is an exciting opportunity to join a growing Machine Learning Platform team within a global technology business. You’ll play a key role in building the infrastructure and tooling that enables Data Scientists to deploy machine learning models at scale, supporting real-time decision-making in a highly complex, high-volume environment.

The Company
They are a global technology organisation operating at significant scale, processing billions of transactions and supporting customers across international markets. Data and machine learning sit at the heart of their product offering, driving innovation across critical business functions. The business continues to invest heavily in its Data & AI capabilities, creating strong opportunities for learning, progression, and technical ownership.

The Role
As a Machine Learning Engineer, you will work closely with Data Scientists and senior engineers to productionise machine learning solutions and enhance the ML platform.

Key responsibilities include:
* Building and maintaining scalable machine learning training pipelines
* Supporting hyperparameter optimisation and model experimentation workflows
* Developing deployment, release, and monitoring processes for production ML models
* Contributing to feature store infrastructure and model serving capabilities
* Building observability and monitoring tooling for machine learning systems
* Supporting real-time inference systems operating at scale
* Collaborating with cross-functional teams to deliver production-ready machine learning solutions
* Taking ownership of platform features while developing your technical expertise

Your Skills & Experience
* Strong commercial experience with Python development
* Experience working with machine learning models in production environments
* Understanding of MLOps principles and machine learning lifecycle management
* Exposure to cloud infrastructure, preferably AWS
* Knowledge of monitoring, observability, and operational best practices
* Experience with Databricks, Spark, or similar distributed data processing technologies is beneficial
* Strong communication and stakeholder collaboration skills
* Ability to work effectively in a fast-paced environment with evolving requirements
Desirable experience includes technologies such as Python, PySpark, Databricks, XGBoost, scikit-learn, Kafka, Terraform, AWS, and real-time data platforms.

What They Offer
* Salary ranging from €60,000 to €70,000 for junior-level candidates
* Salary ranging from €75,000 to €85,000 for mid-level candidates
* 10% annual performance bonus
* 8% holiday allowance
* Hybrid working model with 3 days per week in the Amsterdam office
* Relocation support available
* Sponsorship available for eligible candidates
* Clear career progression within a growing Machine Learning Platform team
* Opportunity to work alongside experienced engineers on large-scale production machine learning systems

How to Apply
If you’re passionate about Machine Learning Engineering, MLOps, and building scalable production systems, apply today to learn more about this opportunity.

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