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Senior Data Scientist (ML / Recommender Systems Focus)

Amsterdam (Hybrid, 3 days per week)

80,000 – 100,000

Are you a Senior Data Scientist who enjoys solving complex commercial problems through machine learning? This is an opportunity to join a growing technology business where recommendation systems sit at the heart of the product strategy. You’ll have significant ownership, influence ML direction, and work closely with stakeholders to build solutions that deliver measurable business impact.

The Company

This growing fintech business operates in a fast-paced, data-driven environment, using machine learning to improve customer experiences and commercial outcomes. With a collaborative culture and a highly visible data function, they are investing in their data science capability to support continued growth. You will join a small, talented team where your work will have a direct impact on products, customers, and business performance.

The Role

You will play a key role in designing, building, and improving recommendation and personalisation systems while helping shape the future of machine learning within the business.

Responsibilities include:

• Building and enhancing recommendation engines and ranking models
• Developing machine learning solutions from problem definition through to deployment
• Applying classification and ensemble modelling techniques to solve business challenges
• Collaborating with stakeholders to understand commercial objectives and translate them into scalable ML solutions
• Driving experimentation and optimisation across personalisation initiatives
• Supporting the growth and maturity of the data science function
• Contributing to the adoption of machine learning approaches that replace manual or rules-based processes
• Working with cloud-based technologies and modern machine learning tooling

Your Skills & Experience

• Strong commercial experience in machine learning and data science
• Proven experience building recommendation engines, recommender systems, or personalisation platforms
• Strong Python development skills
• Experience delivering production-ready machine learning solutions
• Expertise in classification modelling and predictive analytics
• Ability to translate business problems into practical technical solutions
• Commercial mindset with strong stakeholder engagement skills
• Experience working within collaborative, fast-moving environments
• Comfortable taking ownership and operating with a high degree of autonomy

Desirable experience includes:

• Ranking and recommendation algorithms
• AWS
• Language models and NLP applications
• Startup or scale-up environments
• Personalisation and customer experience optimisation

What They Offer

• Salary of 80,000 – 100,000
• Hybrid working model with three office days per week in Amsterdam
• High-impact role with significant ownership and visibility
• Opportunity to influence machine learning strategy and technical direction
• Exposure to challenging recommendation and personalisation problems
• Collaborative team environment with strong growth potential
• Excellent career development opportunities as the business scales

How to Apply

If you are an experienced Senior Data Scientist with expertise in machine learning and recommender systems, apply today to learn more about this opportunity.

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Chief Architect

Up to £140,000 + Benefits
London (1 day per week in the office)
This is a great opportunity to join a private equity-backed financial services organisation undergoing significant technology transformation, where you can take ownership of enterprise architecture strategy and help shape the future technology landscape.

THE COMPANY:

This established financial services business provides funding solutions that enable customers to spread the cost of major annual payments. Backed by significant investment and executive sponsorship, the organisation is embarking on a large-scale modernisation programme focused on improving customer experiences, accelerating technology delivery, and embedding AI-enabled ways of working throughout the business.

THE ROLE:

You will take ownership of the enterprise architecture function, providing strategic leadership across a broad range of technology and transformation initiatives.
Key responsibilities include:

• Owning and evolving the enterprise architecture strategy.
• Providing senior architecture leadership across major transformation programmes.
• Establishing scalable cloud-native architecture patterns and standards.
• Driving the adoption of modern AI-enabled architecture and engineering approaches.
• Balancing governance, risk, and architectural control with innovation.
• Partnering with product, security, engineering, and data leaders to deliver strategic objectives.
• Challenging legacy approaches and driving modern engineering best practices.
• Shaping the architecture required to support AI, automation, and agentic engineering capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Enterprise architecture leadership.
• Application and solution architecture.
• Cloud-native architecture and platform strategy.
• Architecture governance and technology standards.
• Leading technology transformation within complex organisations.
• Driving change and modern engineering practices.
• Executive stakeholder management.
• Developing architecture strategies aligned to AI and automation roadmaps.

THE BENEFITS:

You will receive a salary of up to £140,000, depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Please note: sponsorship is not available for this position.

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Senior AI Engineer | New York (onsite four days a week) | $155,000 to $200,000 base + 40%+ bonus

Become the technical owner of AI at a top-tier derivatives fund, with work that directly shapes revenue-generating investment workflows.

The Company
A global hedge fund specialising in derivatives and multi-asset strategies, known for its engineering strength and research-led culture. It is small enough that one senior engineer can set firmwide direction, with direct access to portfolio managers, quants and leadership.

The Role

• Define the technical direction and roadmap for AI across the firm, prioritising use cases with PMs, quants and engineering.
• Build production LLM products and agentic systems with multi-step reasoning and secure tool execution.
• Build MCP servers and secure integrations between agents and internal data, APIs and research tools.
• Own the full lifecycle: model selection, evals, observability, deployment and fail-safes.
• Turn rapid prototypes into reliable production systems.
• Set standards for responsible AI, and mentor engineers as the team grows.

What We’re Looking For

• 5+ years building and deploying production AI/ML systems as a hands-on engineer.
• Strong software engineering in Python, with solid systems design.
• Production experience with LLMs, agents, RAG, tool calling, and evaluation and monitoring at scale.
• Experience designing or operating MCP servers or similar integration layers.
• A degree in CS or a related field (MS or PhD preferred), and a track record of sustained impact in previous roles.
• Nice to have: experience in high-security data environments, AI integrated with quant workflows, and knowledge of derivatives or volatility.

What’s On Offer

• $155,000 to $200,000 base with an annual incentive plan. Total compensation ican exceed $300k
• Technical ownership of the firm’s AI evolution.
• A balance of deep engineering, applied research and strategy.
• Onsite four days a week in New York or London.
• H1B sponsorship is not available.

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Senior AI Consultant | Chicago, IL (onsite four days a week) | $150,000 to $200,000 base + up to 20% bonus

Build a private equity firm’s AI capability from the ground up, with a clear first-year mandate: solve the firm’s ten highest-priority workflows.

The Company
A Chicago-based private equity firm partnering with founder- and family-owned middle-market companies. The team is close-knit, and senior leadership is already experimenting with AI. It now wants a practitioner to take that work further.

The Role

• Identify and prioritise high-value workflows across investment, operations, investor relations, reporting and back office.
• Design and build AI tools, agents and automated workflows using LLMs.
• Roll out solutions, develop training materials and drive adoption across teams.
• Build feedback mechanisms to track usage and improve tools over time.
• Define the firm’s document infrastructure and standards, including taxonomy and naming.
• Shape the firm’s longer-term AI strategy alongside the Chief Digital Officer.

What We’re Looking For

• At least 3 years in AI and automation, business intelligence, consulting or a related field. Three to six years is ideal.
• Hands-on experience building AI agents, LLM-based tools and workflow automation on platforms such as Anthropic, OpenAI, Google or Microsoft.
• Experience with Microsoft 365 data workflows and platforms such as Databricks or Snowflake.
• A proven record of securing stakeholder buy-in and leading adoption of new tools.
• A bachelor’s degree in Engineering, Information Systems, Business Analytics or a related field.
• Nice to have: management consulting or digital transformation experience, finance or PE exposure, and data governance experience.

What’s On Offer

• $150,000 to $200,000 base plus up to 20% bonus.
• A greenfield role with high ownership and direct exposure to senior leadership.
• Onsite gym and catered daily lunch.
• Onsite in Chicago Monday to Thursday.
• No Visa Sponsorship

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Principal Software Engineer, AI | Remote, US (Northeast preferred, NYC office available) | $225,000 – $300,000 base + bonus + equity

Become the technical lead of an early-stage AI company building a digital twin of entire organisations, with an ambition to model whole industries.

The Company
An independent, early-stage AI company whose platform simulates an organisation’s people, processes and systems. The output is an AI value creation roadmap for private equity investors and management teams. The company adopts new models internally within hours of release.

The Role

• Set the platform’s architecture with the CTO, including build-versus-buy calls.
• Raise the team’s agentic engineering capability, deploying coding agents safely within strong engineering discipline.
• Mentor developers, data scientists and data engineers through code review, design review and pairing.
• Architect production Python services using LangChain or LangGraph across multiple LLM providers.
• Design data models and queries in BigQuery and Postgres.
• Build GCP infrastructure across Cloud Run, Cloud Storage, IAM and GitHub Actions CI/CD.

What We’re Looking For

• 8+ years of software engineering, including time as a tech lead or principal/staff engineer.
• Hands-on experience running agentic coding on a team, with safeguards that protect production.
• Production LLM applications in Python with LangChain or LangGraph and multiple providers.
• GCP, BigQuery and Postgres, and strong security experience.
• A track record of building and developing a team, and of building infrastructure without dedicated platform or security functions.
• Nice to have: finance, PE or consulting exposure, plus Langfuse or similar observability tooling.

What’s On Offer

• $275,000 base, $50,000 bonus and equity.
• Remote, with a preference for the Northeast and access to a NYC office.
• A clear, openly discussed progression path into senior engineering leadership.
• Direct partnership with the CTO on technical direction.
• No Visa Sponsorship

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Senior ML Scientist / ML Engineer, Fraud Detection | Remote, US | $140,000 to $210,000 base + bonus + equity

Own models that decide the majority of traffic on a platform processing billions of e-commerce transactions a year, from experiment design through to production.

The Company
An AI-driven fraud prevention platform for e-commerce. It analyses purchases in real time and financially guarantees approved orders, so ML performance drives the business directly. The ML organisation runs on mature in-house infrastructure with strong engineering and scientific rigour.

The Role

• Design new ensemble architectures that combine multiple fraud models into a stronger decision layer.
• Build offline evaluation methodology that reliably predicts production performance.
• Own experimentation end to end, from hypothesis to production deployment.
• Prototype and integrate new ML techniques and infrastructure to improve detection and scalability.
• Build pipeline components that increase the team’s experimentation speed.
• Partner with Product, Engineering and Risk to turn business problems into ML solutions.

What We’re Looking For

• 4 to 6+ years building ML in production environments.
• Hands-on model development: designing experiments and building solutions from first principles in response to a business problem.
• Strong ML theory and statistical evaluation, including offline evaluation design.
• Python, SQL and Spark in a distributed computing environment.
• Senior and Staff level candidates are welcome. Applied Scientist and ML Scientist backgrounds are a strong fit.
• Nice to have: a PhD or Master’s in CS or Statistics, and payments or fraud domain experience.

What’s On Offer

• Base of $140,000 to $210,000 depending on location and level, plus up to 10% annual bonus and stock options.
• Remote from anywhere in the US, on US time zones, with in-person time once a year.
• Pod-style teams that own their services and models end to end.
• Unlimited PTO, 401k match, 12 weeks’ paid parental leave and a learning budget.
• US citizens and green card holders only. Visa sponsorship is not available.

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Head of AI | Remote, US (Eastern and Central states only) | $250,000 to $325,000 base + equity

Lead the AI function at a company whose core product is document intelligence: turning complex, high-stakes financial documents into accurate, structured data at scale. The mandate is clear: make this product the best in its market.

The Company
A Series C, AI-native fintech bringing public-market data infrastructure to private markets. Its SaaS platform automates document and data operations for private market investors, accounting firms and institutional investors, combining proprietary models with frontier LLMs. Recent investment was made on the strength of its AI-first approach, and AI is now central to the company’s next phase of growth.

The Role

• Assess the current product and ML stack, then drive measurable improvements in accuracy and reliability.
• Lead and grow a team of four across ML engineering, MLOps and data engineering.
• Stay hands-on as a player-coach, working several layers deep on architecture and model development.
• Build a roadmap with a co-founder covering ML best practice, process and the wider AI strategy.
• Balance frontier LLMs with in-house models and infrastructure, prioritising accuracy, determinism and efficiency.
• Advise the board on new AI products and capabilities for clients.

What We’re Looking For

• 8 to 12+ years of industry experience, including 3 to 5 years leading ML, AI or data science teams.
• Deep expertise in NLP and document intelligence: parsing, classification, entity extraction, OCR, layout understanding and document-to-JSON transformation.
• Hands-on model development in Python with PyTorch, Hugging Face and scikit-learn.
• A track record of taking an ML product from 0 to 1 in a SaaS environment, including inference serving, latency and in-product feedback loops.
• Production deployment experience with Docker, Kubernetes and Azure, and ownership of the full ML lifecycle.
• Nice to have: a Master’s or PhD in CS, ML, Applied Mathematics or a related field, and SaaS experience in finance, retail or consumer tech.

What’s On Offer

• $250,000 to $325,000 base plus equity.
• Fully remote within Eastern and Central US states.
• A direct reporting line to a co-founder, with board-level exposure.
• The chance to build and shape the team and its practices.
• No Visa Sponsorship

How to Apply
Apply via the link or contact Tom Brammer at Harnham.

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Data Engineer

£75,000 – £95,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You’ll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.

THE COMPANY:

This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.

THE ROLE:

You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation’s wider data estate.
Key responsibilities include:

• Building end-to-end data solutions, from ingestion through to business-facing outputs.
• Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
• Designing and optimising dbt transformation layers and warehouse workflows.
• Creating dimensional models, fact tables and star schema designs to support analytics at scale.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on GCP experience in a commercial environment.
• Strong expertise with dbt
• Advanced dimensional modelling skills
• Strong Python and SQL experience
• Experience with Terraform, Kafka, Dataflow or Pub/Sub.

THE BENEFITS:

You will receive a salary of £75,000 – £95,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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BI Analyst
London | Hybrid
Up to £44,000

This is an exciting opportunity for a BI Analyst to join a data-focused organisation where analytics plays a central role in driving strategic decision-making. You’ll have the chance to take ownership of high-impact reporting, modernise analytical processes through automation, and help shape the future of data capabilities across the business. This role offers a strong balance of technical delivery, stakeholder engagement, and continuous improvement.

The Company
They are a well-established organisation undergoing continued investment in their data and analytics function. Data is at the heart of key business decisions, and they are committed to building scalable, reliable, and modern analytical processes.
Working across multiple business areas, they leverage a combination of internal and external datasets to generate meaningful insights, support product and commercial initiatives, and deliver valuable reporting to both internal and external stakeholders. They offer a collaborative environment with a strong focus on innovation, data quality, and professional development.

The Role
As a BI Analyst, you will:

• Own and deliver recurring analytical outputs, reporting, and insight generation activities
• Develop and maintain robust SQL-based data processes and reporting pipelines
• Design, build, and optimise Power BI dashboards and data models
• Integrate and enrich data from multiple internal and external sources
• Implement data validation, reconciliation, and quality assurance processes
• Identify trends, patterns, and opportunities through advanced analytics
• Support product, commercial, and operational teams with data-driven recommendations
• Produce clear, impactful reporting and communicate findings to both technical and non-technical stakeholders
• Contribute to the development of scalable analytics infrastructure and best practice methodologies

Your Skills & Experience

• Strong commercial experience with SQL and Power BI
• Experience building dashboards, reports, and data models
• Strong analytical skills with the ability to interpret complex datasets
• Experience improving and automating reporting processes
• Knowledge of data validation, quality assurance, and governance practices
• Exposure to Python or R for analysis and automation would be beneficial
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

What They Offer

• Salary of £44,000 depending on experience
• Comprehensive benefits package
• The opportunity to own business-critical analytics and reporting functions
• Exposure to modern data technologies, automation, and AI initiatives
• Ongoing training and professional development opportunities
• Clear progression within a growing data and analytics team
• Collaborative and supportive working environment
• Hybrid working flexibility

How to Apply
If you’re an Analytics Engineer looking to work on meaningful data projects, drive automation, and influence business decision-making through analytics and insight, apply today.

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Senior Data Engineer

Up to £100,000
London
This is a fantastic opportunity to join a highly regarded investment management business and take ownership of a firmwide data platform being built from the ground up. You’ll play a pivotal role in a greenfield transformation, helping create the data foundation that will support investment reporting, analytics, and future AI initiatives.

THE COMPANY:

This organisation is a well-established investment management firm overseeing a multi-asset portfolio spanning public equities, private markets, credit, alternatives, and other investment strategies.

With a lean and highly specialist team, technology plays a critical role in supporting investment decision-making, reporting, governance, and data-driven innovation. The business is now investing heavily in a modern data platform that will become the central foundation for reporting, analytics, and future AI use cases.

THE ROLE:

You will take ownership of the design, build, and ongoing development of a next-generation Azure data platform.
Key responsibilities include:

• Designing and implementing a greenfield data platform on Azure, with Databricks
• Building and maintaining ingestion pipelines across investment, finance, market, custody, and private markets data sources.
• Developing infrastructure-as-code, CI/CD processes, governance frameworks, and data quality controls.
• Supporting the firm’s AI roadmap

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data engineering within financial services environments.
• Python, SQL, Spark/PySpark, and modern cloud-based data platforms.
• End-to-end platform builds, migrations, or greenfield data engineering projects.
• Data modelling, governance, CI/CD, testing, lineage, and data quality best practices.

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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Senior Software Engineer

up to £85,000
Remote (UK)
This is a great opportunity to join a high-growth, product-led organisation where you can take ownership of a business-critical platform and become the primary engineer driving feature delivery, quality improvements, and platform scalability.

THE COMPANY:

This organisation operates a specialist technology platform that connects senior executives with investment firms, helping facilitate high-value introductions and commercial opportunities. The business has built a proprietary platform that sits at the heart of its operations and is now investing heavily in bringing engineering expertise in-house to support future growth.

With a collaborative culture, strong leadership team, and ambitious product roadmap, the company offers the opportunity to play a visible role in shaping both technology and engineering best practice.

THE ROLE:

You will take ownership of major engineering initiatives across a PHP/Laravel and React platform, becoming the primary builder responsible for delivering high-quality software into production.
Key responsibilities include:

• Owning large sprint tickets.
• Building across the Laravel backend and React frontend.
• Running releases independently and supporting deployment processes.
• Reviewing code and helping uphold engineering standards.
• Collaborating closely with Product, Data and QA teams.
• Reducing technical debt and improving software quality.
• Enhancing testing, CI/CD and release automation processes.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong PHP and Laravel expertise in production environments.
• Commercial experience with React and TypeScript.
• Experience owning releases and delivering software into production.
• PostgreSQL database design, optimisation and migrations.
• AWS environments, ideally serverless architectures and Laravel Vapor.
• CI/CD tooling such as GitHub Actions.
• Interest in AI-assisted software development practices.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Engineer

up to £85,000
Remote (UK)
This is a great opportunity to join a high-growth, product-led organisation where you can take ownership of a business-critical platform and become the primary engineer driving feature delivery, quality improvements, and platform scalability.

THE COMPANY:

This organisation operates a specialist technology platform that connects senior executives with investment firms, helping facilitate high-value introductions and commercial opportunities. The business has built a proprietary platform that sits at the heart of its operations and is now investing heavily in bringing engineering expertise in-house to support future growth.

With a collaborative culture, strong leadership team, and ambitious product roadmap, the company offers the opportunity to play a visible role in shaping both technology and engineering best practice.

THE ROLE:

You will take ownership of major engineering initiatives across a PHP/Laravel and React platform, becoming the primary builder responsible for delivering high-quality software into production.
Key responsibilities include:

• Owning large sprint tickets.
• Building across the Laravel backend and React frontend.
• Running releases independently and supporting deployment processes.
• Reviewing code and helping uphold engineering standards.
• Collaborating closely with Product, Data and QA teams.
• Reducing technical debt and improving software quality.
• Enhancing testing, CI/CD and release automation processes.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong PHP and Laravel expertise in production environments.
• Commercial experience with React and TypeScript.
• Experience owning releases and delivering software into production.
• PostgreSQL database design, optimisation and migrations.
• AWS environments, ideally serverless architectures and Laravel Vapor.
• CI/CD tooling such as GitHub Actions.
• Interest in AI-assisted software development practices.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here