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I’m hiring a Home Risk Pricing Manager for a leading UK insurer with a strong reputation for investing in pricing, analytics, and data science.

This role sits within the Home Pricing function and offers a blend of pricing strategy, analytical problem-solving, and team leadership, supporting the delivery of profitable growth across the home insurance portfolio.

The role

Reporting into the Senior Home Risk Pricing Manager, you’ll play a key role in shaping pricing strategy for the home insurance book.

This isn’t a pure modelling role. Instead, you’ll use models, data, and pricing insight to make commercial decisions about how pricing should be adjusted to drive growth and profitability.

You’ll spend roughly half your time leading and coaching analysts, with the remainder focused on hands-on pricing analysis and strategy.

What you’ll be doing

• Lead and develop a small team of pricing analysts
• Analyse policy, quote, claims, market and risk data to identify pricing opportunities
• Develop and deliver pricing insights to improve profitability and growth
• Work closely with Data Science, Actuarial, Underwriting and Engineering teams
• Critically review pricing and risk models developed by actuaries and data scientists
• Translate model outputs into effective pricing strategies and actions
• Identify customer segments where pricing can be optimised
• Support peer reviews, coaching and mentoring across the team

What they’re looking for

Essential

• Personal lines insurance pricing experience (Home, Motor, Van, Travel, Bike, etc.)
• Senior Pricing Analyst, Risk Pricing Analyst, Pricing Manager or Risk Pricing Manager background
• Strong analytical and commercial mindset
• Experience working with pricing and risk models
• Strong stakeholder management and communication skills
• Python preferred (R also considered)
• SQL experience is beneficial
• Ability to turn analytical findings into pricing strategy and business outcomes

Nice to have

• Team leadership or mentoring experience
• Experience managing pricing portfolios
• Exposure to Home Insurance pricing specifically

Why join?

• Highly respected pricing and analytics function
• Opportunity to influence a major Home Insurance portfolio
• Strong blend of leadership and hands-on analytical work
• Flexible hybrid working
• Excellent benefits package
• Opportunity to work alongside Pricing, Data Science, Underwriting and Actuarial specialists

Package

• £65,000-£80,000 (potential flexibility for exceptional candidates)
• £5,000 car allowance
• Annual bonus scheme
• Private medical insurance
• Matched pension up to 10%
• 27 days holiday + bank holidays
• Hybrid working

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Digital Analyst
£40,000 – £45,000
Hybrid – Merseyside (3x days per week)

Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You’ll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics.

The Company
They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You’ll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy.

The Role
As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth.
Key responsibilities include:

• Translate business challenges into analytical projects and data-driven recommendations
• Analyse web, customer, and commercial data to identify opportunities and trends
• Build strong relationships with stakeholders across ecommerce and wider business teams
• Develop dashboards, reports, and self-service analytics solutions using BI tools

Your Skills & Experience

• Strong commercial experience working with BigQuery and SQL
• Experience analysing ecommerce or digital performance data
• Strong knowledge of Google Analytics 4 (GA4)
• Experience with data visualisation tools such as Power BI or Looker
• Understanding of analytical methodologies and data-driven problem solving
• Awareness of ETL processes and data automation concepts
• Strong communication skills with the ability to present complex findings clearly to non-technical audiences

What They Offer

• Competitive salary and benefits package
• Hybrid working environment
• Access to career development and progression opportunities
• Collaborative and supportive analytics team
• Opportunity to shape reporting, insights, and data capability across a growing ecommerce function
• Pension and additional employee benefits

How to Apply
If you’re an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

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Job Title: AI Product Manager

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $190-210k base

Overview:

A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.

This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.

This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.

Key Responsibilities:

• Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
• Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
• Create detailed product requirements, design briefs, process maps, and solution specifications
• Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
• Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
• Design quality assurance and evaluation frameworks to assess AI outputs before deployment
• Coordinate pilot programs, user testing, and adoption strategies
• Measure business impact and continuously refine solutions post-launch
• Build strong relationships with stakeholders and drive alignment across technical and non-technical teams

What We’re Looking For:

• 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
• Direct experience working on AI-powered products or AI-driven business process transformation initiatives
• Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
• Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
• Strong problem-solving skills with the ability to structure ambiguous challenges independently
• Experience balancing strategic thinking with hands-on execution
• Excellent stakeholder management and communication skills

Nice-to-Have:

• Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
• Experience working with external vendors, consultants, or engineering partners
• Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
• Exposure to LLM-enabled products, AI agents, or intelligent automation platforms

Benefits:

• Additional performance-based cash compensation potential
• Opportunity to join a company actively deploying AI at scale across multiple business functions
• High degree of ownership and visibility within a rapidly growing AI product organization

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Job Title: AI Product Director

Location: SF Bay Area (Hybrid 2-3 days/week in office)

Salary: $275-290k base

Overview:

An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.

This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.

The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.

Key Responsibilities:

• Lead the product strategy and roadmap for enterprise AI transformation initiatives
• Partner with senior business leaders to identify opportunities for AI-driven process redesign
• Translate business objectives into scalable product and solution blueprints
• Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
• Manage and mentor a team of AI Product Managers
• Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
• Evaluate and select external engineering partners and maintain accountability throughout delivery
• Establish quality assurance, evaluation, and governance frameworks for AI solutions
• Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
• Drive stakeholder adoption, executive alignment, and organizational change management

What We’re Looking For:

• 8-12 years of Product Management experience
• Proven track record delivering AI-enabled products from concept through production deployment
• Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
• Experience leading multiple concurrent product initiatives in fast-paced environments
• Experience managing Product Managers or leading product teams
• Strong vendor management experience and ability to guide third-party delivery partners
• Executive-level communication, presentation, and stakeholder management skills
• Ability to balance strategic vision with hands-on execution

Nice-to-Have:

• Experience in fintech, lending, payments, risk technology, or other regulated industries
• Knowledge of AI governance, explainability, compliance, or model risk concepts
• Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
• Experience scaling AI products within high-growth technology companies

Benefits:

• Additional performance-based cash compensation potential
• Executive visibility and influence across the organization
• Opportunity to build and lead a growing AI product function
• Exposure to large-scale AI transformation initiatives with significant business impact

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Pricing Manager

Hybrid – London(1x day per week)

£60,000 – £80,000 + benefits

If you’re looking for an opportunity to combine leadership, pricing strategy, and advanced analytics in a highly data-driven environment, this Home Risk Pricing Manager role offers excellent scope for impact. You will lead key pricing initiatives, shape risk strategy, and help drive profitable growth within a well-established insurance business that is investing heavily in its data and analytics capabilities.

The Company

They are a leading UK financial services organisation with a strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing, actuarial, data science, underwriting, and engineering functions.

The Role

As a Home Risk Pricing Manager, you will lead a small team while delivering pricing strategies that drive business performance and improve risk selection.

Responsibilities include:

• Leading and developing a team of pricing analysts through coaching, mentoring, and technical guidance
• Prioritising pricing initiatives to support profit and growth objectives
• Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation
• Evaluating and implementing new data sources, methodologies, and analytical approaches
• Reviewing predictive models developed by actuarial and data science teams
• Determining the most effective application of model outputs within pricing algorithms
• Identifying customer segments and pricing opportunities to improve commercial performance
• Building and maintaining automated analytical tools to generate pricing insights
• Partnering with underwriting, actuarial, data science, engineering, fraud, and commercial stakeholders across the business
• Supporting wider underwriting and strategic projects that deliver measurable business value

Your Skills & Experience

Strong commercial experience within general insurance pricing, risk analytics, or a related function.
Experience leading or mentoring analysts within a pricing or analytics environment
Advanced analytical and coding capabilities, ideally using Python
Ability to work confidently with large, complex datasets and statistical concepts
Strong understanding of predictive modelling and pricing methodologies
Experience translating analytical insights into commercial actions
Excellent stakeholder management and communication skills
Curious, proactive mindset with a passion for continuous improvement and innovation

What They Offer

Salary up to £80,000 depending on experience
Annual performance bonus
£5,000 car allowance
Flexible hybrid working model
Private medical insurance
Competitive pension contribution scheme
Life assurance and income protection
Comprehensive wellbeing and healthcare benefits
Generous annual leave allowance with additional flexible options
Access to learning, development, and long-term career progression opportunities

How to Apply

If you’re interested in this Home Risk Pricing Manager opportunity, apply today to discuss how your experience aligns with the role.

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Associate Analytics Consultant

London (Hybrid – Monday to Thursday Office / Friday Remote)

Up to £75,000

THE COMPANY

This global data, analytics and technology business helps organisations make smarter lending decisions through market-leading credit data, analytics and consultancy. Working with banks, lenders, telecoms and other major organisations, they develop analytical solutions that improve customer acquisition, credit decisions and portfolio performance. Having recently migrated to the cloud and invested heavily in Python, it’s an exciting time to join a business known for its strong culture and excellent staff retention.

THE ROLE

As an Associate Consultant within the Client Analytics team, you’ll deliver consultancy projects for some of the UK’s largest lenders and financial services organisations. Working directly with clients, you’ll build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency (CRA) data to help businesses make better lending decisions.

This is a highly commercial, client-facing position where you’ll own analytical projects from discovery through to delivery, presenting insights and recommendations to senior stakeholders while balancing technical excellence with commercial impact.

You’ll be responsible for:

• Developing acquisition and behavioural credit scorecards using CRA data
• Building statistical and machine learning models including logistic and linear regression
• Designing and implementing credit strategies for new and existing customer portfolios
• Analysing large datasets using SQL and Python (or SAS)
• Delivering analytical consultancy projects for external clients across multiple industries
• Presenting technical findings and commercial recommendations to senior stakeholders
• Supporting clients to improve lending decisions through data-driven insights

The role covers the full modelling lifecycle, including sample design, performance analysis, reject analysis and strategy development.

YOUR SKILLS AND EXPERIENCE

You’ll ideally have:

• Experience developing credit scorecards within a credit risk environment
• Strong knowledge of Credit Reference Agency (CRA) data (Equifax, Experian or TransUnion)
• Credit risk experience across model development or strategy
• Strong SQL skills alongside Python or SAS (Python preferred)
• Experience with statistical modelling techniques such as logistic regression or machine learning
• Excellent communication skills with the ability to present to clients and senior stakeholders

THE BENEFITS

• Up to £75,000 salary
• Hybrid working (Monday-Thursday office, Fridays remote)
• Work with a wide range of clients across financial services, telecoms and beyond
• Opportunity to work on varied analytical consultancy projects rather than a single portfolio
• Modern cloud-based technology stack with increasing use of Python
• Strong career progression within a business known for long employee tenure
• Two-stage interview process with a fast turnaround

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Risk Pricing Manager

London (Hybrid – 1 day per week on average)

£65,000-£80,000 + £5,000 Car Allowance

THE COMPANY

Join one of the UK’s leading digital insurers, investing heavily in pricing, data and analytics to transform how insurance products are priced. You’ll join a collaborative pricing function focused on using data, market trends and innovative techniques to improve commercial performance while delivering fair customer outcomes.

THE ROLE

You’ll lead a small team within the Home Risk Pricing function, helping deliver pricing strategy across home insurance products. This is a commercially focused role where you’ll enhance existing pricing models, analyse market trends and translate insights into pricing decisions rather than building models from scratch.

Working closely with the Home Analytics & Pricing team, you’ll review actuarial models, identify opportunities to improve pricing performance and ensure pricing strategies remain competitive in the market.

Responsibilities include:

• Lead and develop a small team of Pricing Analysts.
• Enhance and maintain existing pricing models.
• Deliver pricing strategy across Home Insurance products.
• Analyse claims, market and customer data to identify pricing opportunities.
• Review actuarial models and optimise how they are applied commercially.
• Work closely with the Home Analytics & Pricing team and wider stakeholders.
• Translate analytical insights into commercial pricing decisions.
• Drive continuous improvements using new data and market trends.

YOUR SKILLS AND EXPERIENCE

• Experience in Risk Pricing or Pricing within personal lines insurance.
• Home insurance experience is preferred, although Motor, Van, Bike or Travel insurance backgrounds will also be considered.
• Commercial pricing experience with the ability to interpret model outputs and deliver business insight.
• Python preferred (R also considered).
• SQL really useful.
• Previous leadership experience is advantageous, although candidates looking to step into management will also be considered.
• Strong analytical mindset with excellent stakeholder communication skills.

THE BENEFITS

• Salary up to £80,000 (£85,000 for exceptional management experience).
• £5,000 Car Allowance.
• Hybrid working (around one day per week in the office).
• Annual bonus.
• Private Medical Insurance.
• Up to 10% matched pension.
• 27 days holiday plus bank holidays, with the option to buy or sell leave.
• Excellent learning and career progression opportunities.

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

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Senior NLP Engineer
Remote (UK) | £100,000 – £120,000 + Benefits

Are you a Master’s or PhD-qualified NLP specialist looking to build AI products at scale? This is an opportunity to join a growing AI and compliance technology business where you’ll own NLP and LLM initiatives from research through to production, working on complex language challenges across enterprise communications data.

The Company
They are an AI-driven software business operating within the RegTech and compliance space, helping large organisations manage risk across digital communications. Their products leverage NLP, machine learning, and LLMs to analyse large volumes of unstructured data across multiple communication channels.

The Role

• Own NLP and AI projects from concept through to production deployment
• Develop models to analyse text, audio, video, and other unstructured data
• Apply both classical NLP techniques and modern LLM approaches
• Build scalable, customer-facing AI products and features
• Collaborate closely with engineering, product, and business teams
• Contribute to the technical direction of a highly experienced AI function

Your Skills & Experience

• Master’s degree or PhD in NLP, Machine Learning, AI, Computer Science, Linguistics, or a related quantitative field
• Commercial experience building and deploying NLP or ML solutions into production
• Strong understanding of both traditional NLP methods and modern LLMs
• Experience taking products from research or prototype stage through to production
• Strong Python and software engineering fundamentals
• Experience working with large-scale unstructured data
• Exposure to compliance, cybersecurity, financial services, or other regulated environments is beneficial

What They Offer

• £100,000 – £120,000 base salary
• Fully remote UK working
• High levels of ownership and autonomy
• Opportunity to work alongside a highly experienced AI team
• Annual company and engineering meetups
• Clear progression opportunities as the business grows

How to Apply
If you have strong NLP and LLM expertise and enjoy building production-grade AI products, apply today to find out more.

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Senior Data Scientist, Causal Inference & Experimentation
London | Up to £124,000 + Bonus

This is an opportunity to join a newly formed Data Science team focused on understanding what truly drives customer value and commercial performance. The role sits at the intersection of Data Science, Econometrics, and Experimentation, with a strong emphasis on explaining why behavioural changes happen rather than simply predicting outcomes.

The Company
They are a global technology and entertainment business investing heavily in advanced analytics to better understand customer behaviour and commercial performance. As part of a newly established function, they are building a specialist team focused on measuring the impact of product and commercial initiatives. The work combines Data Science, Economics, and Experimentation, with a strong emphasis on influencing real-world decisions.

The Role

• Apply causal inference techniques to measure the true impact of product and commercial initiatives
• Design and analyse experiments and A/B tests to drive decision-making
• Conduct cannibalisation, value decomposition, and counterfactual analysis
• Develop simulation and offline evaluation frameworks
• Assess models and experiments developed by other teams
• Translate complex findings into clear recommendations for technical and commercial stakeholders

Your Skills & Experience

• Strong background in Data Science, Econometrics, Economics, Statistics, Behavioural Science, or a related quantitative discipline
• Deep understanding of causal reasoning, experimentation, and statistical inference
• Experience with A/B testing, incrementality measurement, treatment effects, or causal modelling
• Strong Python and SQL skills
• Excellent communication skills with the ability to influence business decisions through data
• Master’s degree or PhD in Economics, Econometrics, Statistics, Mathematics, or a similar quantitative field strongly preferred

What They Offer

• Salary up to £124,000 plus bonus
• Opportunity to help shape a brand-new strategic Data Science function
• High-impact work influencing product and commercial decisions
• Strong career progression and development opportunities
• Flexible working and competitive benefits

How to Apply
If you have a strong background in causal inference, experimentation, and quantitative research, apply today to learn more about this opportunity.

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Head of Commerical Analytics

This is an opportunity to join an exciting buinsess, sitting within a strategic analytics function, you will play a key role in shaping commercial decision-making, influencing senior stakeholders, and driving business performance through advanced analytics and insight.

The Company
They are a fast-scaling technology and financial services business operating within a subscription-based consumer market. With a strong focus on innovation, sustainability, and customer experience, they have built a sophisticated data ecosystem that supports rapid growth and informed decision-making.

The business combines a modern digital platform with advanced risk and commercial analytics capabilities, creating a highly data-driven environment. Backed by significant investment and ambitious expansion plans, they offer the pace and impact of a scale-up alongside the complexity of a mature analytics function.

The Role
As Head of Commercial Analytics or Senior Manager, Commercial Analytics, you will lead the delivery of high-impact analytical initiatives that influence commercial strategy and operational performance.
Key responsibilities include:

• Partner with senior leadership to define and execute the commercial analytics roadmap.
• Deliver strategic analysis that drives customer growth, revenue performance, retention, and profitability.
• Translate complex data into actionable recommendations for both technical and non-technical stakeholders.
• Build and maintain robust reporting, forecasting, and performance measurement frameworks.
• Lead analytical projects from scoping through to implementation and business impact assessment.
• Collaborate closely with teams across strategy, product, finance, operations, and data.
• Support and mentor analysts, helping to develop analytical capability across the function.
• Champion data-driven decision-making throughout the organisation.

Your Skills & Experience

• Strong commercial analytics experience within a data-rich environment.
• Advanced SQL skills and the ability to work confidently with large and complex datasets.
• Experience delivering strategic insight that has influenced senior business stakeholders.
• Strong commercial acumen with the ability to connect analytics to business outcomes.
• Proven experience leading complex analytical projects and managing multiple priorities.
• Excellent communication and stakeholder management skills.
• Experience within fintech, lending, consumer finance, subscription businesses, ecommerce, or related sectors would be advantageous.
• Familiarity with experimentation, customer analytics, forecasting, performance optimisation, or decision science is beneficial.

What They Offer

• Opportunity to work in a high-growth business with significant backing and ambitious expansion plans.
• High visibility role with regular exposure to senior leadership.

How to Apply
If you are an experienced Commercial Analytics leader looking to drive strategic impact within a fast-growing, data-driven organisation, please apply with your CV for further information.

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Principal / Senior Backend Software Engineer (AI Systems & Agentic Workflows)

About the Role

We are seeking a hands-on Principal or Senior Backend Software Engineer to help build the next generation of AI-powered products and workflows on top of large-scale knowledge systems and healthcare datasets.

This role is ideal for someone who enjoys operating at the intersection of backend engineering, AI systems, product development, and platform architecture. You’ll work closely with technical leadership to design, build, deploy, and iterate on intelligent systems that leverage agentic AI workflows, retrieval-augmented generation (RAG), structured knowledge retrieval, and large language models.

This is not a research role. We are looking for builders who can take ideas from concept to production and thrive in a fast-moving, high-ownership environment.

What You’ll Do

• Design and build agentic AI workflows that automate complex business and user-facing processes.
• Develop production-grade Retrieval-Augmented Generation (RAG) systems utilizing large internal and domain-specific datasets.
• Implement AI-powered knowledge systems combining structured data, semantic retrieval, embeddings, and LLMs.
• Build backend services and APIs that support AI applications at scale.
• Design secure, scalable cloud-native architectures and distributed systems.
• Work closely with product, design, data, and engineering teams to rapidly validate, prototype, and ship new capabilities.
• Partner directly with leadership to influence architecture, technical direction, and long-term AI strategy.
• Continuously improve observability, reliability, evaluation, and safety of AI systems in production.

Key Responsibilities

AI & Agentic Systems

• Multi-agent workflow orchestration
• LLM-powered applications
• AI copilots and assistants
• Tool calling and agent execution frameworks
• AI evaluation, observability, and monitoring
• Prompt engineering and workflow optimization

Knowledge Systems

• Retrieval-Augmented Generation (RAG)
• Embeddings and vector search
• Knowledge graphs
• Search and discovery systems
• Semantic retrieval pipelines
• Context management and ranking

Backend Engineering

• API design and development
• Distributed systems and microservices
• Event-driven architectures
• Data processing and workflow automation
• Data platform integrations
• Cloud infrastructure and deployment

Desired Technical Experience

Backend

• Python
• FastAPI, Django, Flask, or similar frameworks
• REST APIs
• PostgreSQL
• Event-driven systems

AI / ML

• OpenAI, Anthropic, Gemini, or similar models
• LangChain, LangGraph, MCP, CrewAI, or comparable frameworks
• Agentic AI architectures
• RAG systems
• Vector databases
• AI evaluation frameworks

Infrastructure

• AWS
• Docker
• Kubernetes
• CI/CD
• Observability and monitoring platforms

Data

• PostgreSQL
• Redis
• Data pipelines
• Embeddings
• Search infrastructure

Preferred Backgrounds

Successful candidates often come from:

• Founding Engineer roles
• Startup CTO or technical founder backgrounds
• Senior backend engineering positions
• Applied AI engineering teams
• Search and retrieval platforms
• Knowledge systems
• Healthcare technology
• SaaS companies
• AI-native startups

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Principal Machine Learning Engineer

Location: Paris (Remote / Hybrid – Fully Remote or 2 Days in the Office)
Salary: €135,000 Base + €15,000 Bonus (OTE €150,000)

THE COMPANY

This profitable French AdTech scale-up is transforming digital advertising through machine learning. By building AI-powered technology that determines which users are most likely to engage with an advert, they help leading mobile apps drive customer acquisition and re-engagement through highly targeted advertising.

Following approximately 60% growth over the past two years, the business has expanded to around 140 employees across offices in Paris, Barcelona, Seoul and San Francisco, with more than 25 open positions supporting continued international growth.

You’ll be joining a highly technical engineering team, working directly alongside the CTO to shape the future of machine learning across the business.

THE ROLE

As a Principal Machine Learning Engineer, you’ll define the technical direction of large-scale production machine learning systems while remaining hands-on throughout the full model lifecycle. This is an individual contributor leadership role focused on delivering complex technical projects rather than managing people.

You’ll lead end-to-end machine learning initiatives across recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling, partnering closely with senior engineering and business stakeholders to translate commercial objectives into production-ready AI solutions. The role combines technical strategy, platform engineering and applied machine learning within a high-scale real-time environment.

YOUR SKILLS AND EXPERIENCE

• Extensive experience building and deploying production machine learning systems at scale
• Proven technical leadership, defining architecture and technical direction while remaining hands-on
• Strong experience developing recommendation systems, audience targeting models, LTV or churn models
• Experience building robust MLOps platforms including model monitoring, automated retraining and production deployment
• Excellent Python and modern machine learning framework experience (PyTorch, TensorFlow or similar)
• Strong software engineering and distributed systems knowledge
• Ability to communicate complex technical concepts to senior stakeholders
• AdTech or Demand Side Platform (DSP) experience highly desirable
• PhD in a STEM discipline is advantageous

THE BENEFITS

• €135,000 base salary plus approximately €15,000 annual bonus (OTE €150,000)
• Longevity bonus every two years
• 4.5-day working week with Friday afternoons off
• Fully remote working or hybrid (2 days per week if based near an office)
• Two company meet-ups each year
• Work directly alongside the CTO
• Join a profitable, high-growth international AI business with significant technical ownership opportunities

INTERVIEW PROCESS

• 15-minute HR conversation
• Take-home technical assessment
• Technical interview and assessment review with senior ML engineers
• CTO interview
• Executive Committee interview

HOW TO APPLY

Please register your interest by sending your CV to Max Beadle at Harnham via the Apply link on this page.

To Apply for this Job Click Here