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Senior Machine Learning Engineer

Remote in US

$160,000 – $190,000 Base + 10% Bonus

THE COMPANY

Harnham is partnering with a fintech that has built a leading fraud protection platform enabling merchants to grow confidently by eliminating fraud and delivering frictionless customer experiences. They’re a global company that processes billions of transactions annually, leveraging advanced machine learning to approve more good orders while protecting revenue.

The company combines cutting-edge technology with a deeply collaborative and mission-driven culture. Their Machine Learning team sits at the core of the product, building and maintaining the models and experimentation frameworks that power fraud detection at scale.

RESPONSIBILITIES

• Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring.
• Build, maintain, and optimize production-grade machine learning models for fraud detection.
• Design and implement scalable ML pipelines to enable rapid experimentation and model iteration.
• Develop advanced feature engineering and statistical methodologies to improve model performance.
• Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions.
• Contribute to model training, evaluation frameworks, and experimentation infrastructure.
• Ensure robustness, scalability, and reliability of ML systems in high-volume production environments.
• Drive best practices in testing, documentation, and model monitoring across the ML team.

SKILLS AND EXPERIENCE

• 4-6+ years of experience in machine learning within production environments.
• Strong foundation in machine learning theory, statistical modeling, and evaluation techniques.
• Experience building and deploying supervised and unsupervised ML models at scale.
• Proven track record of taking ML projects from research/prototype to production.
• Proficiency in Python, SQL, and key machine learning libraries.
• Experience working with distributed data processing tools such as Spark.
• Strong communication skills, with the ability to explain technical insights to non-technical stakeholders.
• Detail-oriented mindset with a focus on delivering measurable business impact.

PREFFERED EXPERIENCE

• Experience in fraud detection, fintech, payments, or e-commerce domains.
• Advanced degree (Master’s or PhD) in a quantitative field.
• Passion for writing well-tested, production-quality code.
• Interest in adversarial machine learning and combating fraud at scale.

BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a comprehensive benefits package within a fast-growing, mission-driven organization.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Machine Learning | Fraud Detection | Fintech | Payments | E-Commerce | Python | SQL | Spark | Data Science | Statistical Modeling | Feature Engineering | MLOps | Experimentation | Adversarial ML | Production ML Systems

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Senior AI Product Engineer

Hybrid – 3x a week onsite in the San Francisco Bay Area

Salary: Up to $250,000 + equity

What Exceptional Looks Like

We’re seeking a builder who has gone beyond experimentation – someone who has successfully taken AI-driven products from concept through production and scale. This individual brings a strong product mindset, approaches problems from the customer’s perspective, and takes full ownership across the stack.

They understand that shipping agentic systems isn’t just about prompts – it’s about disciplined evaluation, iteration, and continuous improvement. They leverage AI tools as accelerators of their own thinking, not substitutes for it.

Equally important, they elevate the team around them: collaborative, intellectually honest, and motivated by collective success as much as individual output.

What Doesn’t Fit

This role is not for someone who relies on AI without understanding it – or who cannot clearly articulate the reasoning behind their technical decisions.

Candidates who have only experimented with models in isolation, without delivering production-grade applications, will not find success here.

Required Experience

• Demonstrated success building and deploying production-grade agentic AI systems in customer-facing environments (not research or prototyping)
• Deep expertise across the agent lifecycle: prompting, evaluation, debugging, iteration, and scaling performance
• Strong foundation in software engineering (backend or full-stack), with a deliberate transition into AI engineering
• Clear ownership mindset – able to articulate what was built, why decisions were made, and how trade-offs were evaluated
• Proficiency in Python or TypeScript
• Experience designing and running evaluation frameworks to measure and improve real-world system performance

Preferred Experience

• Retrieval-Augmented Generation (RAG)
• Experience with agent frameworks or orchestration platforms (e.g., LangChain, AWS Bedrock, or similar ecosystems)

Leveling

• Senior AI Product Engineer: ~4-6 years experience
• Senior AI Product Engineer II: ~6-8 years experience

Note: Experience in high-growth or startup environments is highly valued. Speed, adaptability, and bias for action are critical to success in this role.

Signals of Success (What We Look For)

• Proven track record of taking AI-driven solutions from idea to production, with the ability to clearly walk through the full journey
• Ownership of the evaluation loop – not just building, but rigorously testing, diagnosing, and improving systems over time
• Experience embedding AI into real-world applications, navigating scale, reliability, and user impact
• Thoughtful decision-making – candidates can clearly explain what worked, what didn’t, and why
• Background as a strong engineer who has intentionally evolved into AI, rather than superficially layering AI onto their skillset

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SENIOR DATA ENGINEER
£75,000
LONDON

This is a brilliant opportunity to join a well-known, purpose-led organisation at the start of a major data transformation. You’ll play a pivotal role in building a modern data platform from the ground up, working in a highly creative environment with real impact across the business.

THE COMPANY

Our client is a large, publicly funded organisation within the arts and entertainment space, employing around 1,000 people across multiple iconic venues. They’ve recently brought in a new Director of Data & Insights to elevate their data capabilities, with a strong focus on innovation, AI, and unlocking value from their data.This is a greenfield opportunity where you’ll help shape the data strategy and engineering standards in a collaborative, non-corporate environment.

THE ROLE

• Lead the design and delivery of a cloud-based Lakehouse platform using Microsoft Fabric
• Build scalable data pipelines and implement Medallion architecture
• Develop robust data models across multiple business domains
• Establish best practice engineering standards and data governance
• Manage and mentor a small team of data engineers (minimum 2)
• Work closely with stakeholders to translate business requirements into scalable data solutions
• Enable downstream analytics, including Power BI semantic models and dashboards
• Contribute to long-term AI and data innovation initiatives

YOUR SKILLS AND EXPERIENCE:

• 6+ years’ experience in data engineering
• Strong expertise in data modelling (dimensional modelling and semantic layer design)
• Hands-on experience with Microsoft Fabric and/or Azure data services
• Proven end-to-end delivery across the data lifecycle (through to visualisation)
• Experience managing or mentoring engineers
• Strong stakeholder engagement and communication skills

Nice to have:

• Experience working across multiple datasets/business domains
• Exposure to AI or advanced analytics use cases
• Background in high-growth or less mature environments

SALARY AND BENEFITS

• £75,000
• Hybrid working (2-3 days in office)
• Pension scheme
• Inclusive and purpose-driven working environment

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link

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Application Support Engineer Front Office Technology
New York, NY | $250,000 Total Comp

This is a front office application support role with a clear engineering mandate. You will work directly with traders and portfolio managers while building automation, observability, and AI assisted tooling to reduce manual support work. The focus is not just on keeping systems running, but on improving how they run.

The Company
They are a global investment firm operating at scale across derivatives and electronic trading. Technology sits at the centre of their platform, with strong investment in data, engineering, and automation. The environment is fast paced and collaborative, with direct access to trading teams and senior leadership. They are actively evolving their operational model through automation and modern tooling.

The Role
* Own the stability and performance of a front office trading platform during market hours
* Monitor system health, respond to production incidents, and manage communications with trading, risk, and operations teams
* Investigate and resolve issues related to order flow, FIX connectivity, and market data
* Partner with developers, brokers, and vendors to resolve complex production problems
* Build Python tooling to automate repetitive support tasks and reduce operational overhead
* Develop dashboards and alerting using Grafana and related observability tools
* Contribute to QA and release processes, ensuring smooth production deployments
* Help evolve AI assisted incident detection and response capabilities

Your Skills and Experience
* Strong commercial experience in application or production support within trading or financial services
* Working knowledge of FIX protocol and order flow within electronic trading systems
* Hands on Python scripting for automation and tooling
* Experience with Linux environments and SQL Server
* Exposure to monitoring and observability tools such as Grafana
* Familiarity with EMS platforms such as EMSX, FlexTrade, or similar
* Understanding of market data systems and trading workflows
* A proactive mindset with a focus on automating manual processes
* Comfortable operating in high pressure, front office environments and participating in oncall support

What They Offer
* Base salary between $150,000 and $180,000 with potential flexibility for exceptional candidates
* Annual performance related bonus
* High visibility role with direct exposure to traders and senior stakeholders
* Clear pathway into platform engineering or site reliability engineering as automation increases
* Opportunity to shape the future of support through AI and modern tooling
* Collaborative, engineering led culture with strong investment in technology

How to Apply
Apply now to explore a front office support role where you can combine trading systems expertise with hands on engineering and automation.

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Senior Machine Learning Engineer

Remote (US ONLY)

$240,000 Total Comp

This is an opportunity to tackle some of the most challenging problems in applied machine learning, working on high scale fraud detection systems where data is imperfect and outcomes are uncertain. You will play a key role in evolving core models and experimentation capability within a mature, well invested ML environment.

The Company

They are a multiple PE funding round Fintech operating at global scale, using advanced machine learning to power critical decision making in real time. Their platform processes high volumes of transactions and supports merchants in delivering secure and seamless customer experiences.

The data science and engineering function is central to the product, with strong collaboration between ML, platform engineering and product teams. They have invested heavily in internal tooling, including a proprietary experimentation interface and robust ML infrastructure.

The Role

You will take ownership of end to end machine learning initiatives, with a focus on improving fraud models and enabling faster, more reliable experimentation. Key responsibilities include:

* Driving continuous improvement of core fraud detection models in production

* Designing and evolving experimentation workflows to support high velocity model iteration

* Rolling out a new ensemble based model architecture to improve decisioning performance

* Defining and implementing robust offline evaluation approaches in a low label environment

* Tackling complex statistical challenges such as delayed or missing fraud outcomes

* Partnering closely with product teams to develop new ML driven features for customers

* Contributing to a tech lead driven roadmap within a mature ML platform and tooling ecosystem

Your Skills and Experience

* Strong commercial experience building and deploying machine learning models in production

* Deep understanding of statistical modelling and evaluation, particularly in imperfect data settings

* Experience working with large scale data and distributed systems such as Spark

* Proficiency in Python and SQL, alongside modern ML libraries

* Experience designing experimentation frameworks or working with A B testing and offline validation

* Ability to translate ambiguous business problems into structured ML solutions

* Strong collaboration skills, with experience working cross functionally with product and engineering

What They Offer

* Annual bonus and equity package

* Flexible remote working across the United States

* Comprehensive benefits including healthcare, pension contributions and paid leave

* Access to learning and development budget

* Opportunity to work on high impact ML systems with real world outcomes

* Clear progression within a technically strong and collaborative team

How to Apply

If you are interested in applying your machine learning expertise to complex, real world problems at scale, please submit your application.

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Role Title
Senior Fraud and Financial Crime Analyst

Salary
£45,000-£50,000

Location + work pattern
North West England (hybrid, typically 3 days in office)

Brief intro
Harnham are working with

THE COMPANY
This organisation operates within a regulated financial services environment and is undergoing rapid growth following recent expansion initiatives. With a strong focus on innovation in payments and customer experience, the business offers a dynamic setting where teams can make meaningful, tangible impact. The structure combines the stability of a regulated firm with the agility of a scaling function.

THE ROLE
This is a newly created position focusing on fraud analytics within a payments environment, supporting the rollout of a new credit card product. You will work closely with cross-functional teams to optimise fraud controls, monitor performance, and deliver actionable insights.
Specifically, you can expect to be involved in:

• Monitoring fraud trends, identifying emerging risks, and analysing transaction data
• Developing and optimising fraud rules, controls, and decisioning strategies
• Producing dashboards, reporting packs, and regulatory MI
• Supporting testing, validation, and implementation of fraud solutions
• Collaborating with product, operations, and compliance teams to enhance fraud strategy

YOUR SKILLS AND EXPERIENCE

• Experience working in card fraud or payments fraud analytics
• Strong understanding of card transactions, fraud risks, and relevant regulations
• Proficiency in SQL or Python for data analysis and insight generation
• Experience working with fraud decisioning or fraud prevention platforms
• Ability to translate complex data into clear, actionable insights

THE BENEFITS

• Strong opportunities for career progression and development
• Exposure to high-impact projects within a growing payments function
• Collaborative environment with cross-functional mobility
• Hybrid working model supporting flexibility

THE PROCESS

• Initial 30-minute video interview
• Final face-to-face interview including a competency and technical assessment
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Senior Credit Risk Analyst
London
£60,000 to £100,000

This is a high impact opportunity to shape credit strategy within a fast growing fintech environment. You will work with complex, real world datasets and have genuine ownership over lending decisions, contributing directly to the growth and evolution of a modern financial platform.

The Company
They are a scaling, venture backed fintech operating at the intersection of financial services and technology. The business partners with large organisations to deliver digital financial solutions to a broad user base, with a strong emphasis on accessibility and responsible lending. With continued investment and international expansion underway, they are building out their data and analytics capabilities to support growth. The environment is collaborative, fast paced, and focused on using data to drive better outcomes.

The Role

• Defining and optimising credit risk strategies across evolving lending products
• Using SQL driven analysis to extract insights from complex behavioural datasets
• Developing and refining affordability and risk policies
• Collaborating with cross functional teams to implement and scale strategies
• Monitoring performance and driving continuous improvement across the lending portfolio
• Contributing to the development of new products and credit capabilities

Your Skills and Experience

• Strong commercial experience in credit risk analytics or strategy within consumer lending
• Proven ability to translate data into actionable insights and strategy
• Advanced SQL skills, with Python as a desirable addition
• Experience within unsecured lending products such as personal loans or credit cards
• Ability to structure complex problems and communicate clearly with stakeholders
• FinTech experience is a plus

What They Offer

• Base salary up to £100,000, depending on experience
• Equity package with long term growth potential
• Hybrid working model with three days per week in the London office
• Comprehensive benefits including private healthcare and flexible benefits schemes
• Clear progression opportunities within a scaling data and risk function

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Senior Fraud and Financial Crime Analyst
Lancashire
Up to £50,000

This is a high-impact opportunity to play a key role in the launch of a new credit card product within a growing financial services environment. You will be central to shaping fraud strategy from the ground up, using data and analytics to drive decision-making and optimise controls in a fast-paced, evolving setting.

The Company
They are a scaling financial services business operating within a wider consumer ecosystem, combining the agility of a newer entity with the backing of an established group. The organisation focuses on delivering flexible payment solutions and enhancing customer experience through innovation and data-led insight. With strong growth plans and ongoing investment, they offer a dynamic environment where you can make a tangible impact. Teams are empowered to take ownership, move quickly, and drive meaningful change.

The Role

• Analyse transaction data to identify fraud trends, anomalies, and risk drivers
• Develop and optimise fraud rules, controls, and decisioning strategies
• Produce dashboards and reporting to support governance, regulatory compliance, and commercial insight
• Support the launch and optimisation of a new credit card product
• Conduct detailed analysis across card transactions and emerging fraud typologies
• Test and validate fraud models, rules, and new solutions ahead of deployment
• Collaborate with product, technology, operations, and compliance teams to deliver fraud strategy
• Translate complex data into actionable insights that influence business decisions

Your Skills and Experience

• Strong commercial experience in card fraud analytics within a payments or financial services environment
• Solid understanding of card schemes, transaction lifecycles, and regulatory frameworks
• Advanced data analysis capability using SQL or Python
• Experience working with fraud rules, alerts, and optimisation strategies
• Familiarity with fraud platforms such as Featurespace, FICO, or similar tools
• Ability to interpret complex datasets and communicate insights clearly to stakeholders
• Proactive approach with a focus on problem-solving and continuous improvement

What They Offer

• Salary up to £50,000 plus a competitive benefits package
• Hybrid working with flexibility following the initial onboarding period
• Clear progression opportunities within a growing fraud and analytics function
• Exposure to major product launches and strategic initiatives
• Collaborative environment with strong internal mobility and development opportunities

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LEAD CREDIT RISK ANALYST

UP TO £80,000-£90,000 PLUS SHARES

LONDON

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

Shape the credit strategy behind a fast-growing fintech transforming how people access and manage financial products. In this lead role, you’ll use rich data to drive real lending decisions, influence product innovation, and deliver better outcomes for customers. It’s a chance to step into genuine ownership within a scaling, analytics-driven environment.

THE COMPANY

This organisation is a fast-scaling fintech business focused on delivering innovative financial products through employer partnerships. They leverage rich customer and transactional data to drive responsible lending, affordability, and financial insight solutions. With continued investment and growth, they are expanding their analytics capability to support new product development and international scaling.

THE ROLE

As a Lead Credit Risk Analyst, you will play a key role in shaping and optimising credit strategy across a growing unsecured lending portfolio. You will work closely with cross-functional teams to deliver data-driven decisions and improve risk performance.

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

• Defining and optimising credit strategies in line with commercial objectives
• Analysing data to generate insights and support key business decisions
• Partnering with product and engineering teams to implement strategies
• Monitoring performance and identifying opportunities to enhance credit outcomes
• Supporting the development of affordability and responsible lending policies

SKILLS AND EXPERIENCE

The successful Lead Credit Risk Analyst will have the following skills and experience:

• Strong SQL skills with the ability to work with large datasets
• Experience in credit risk analytics within a consumer lending environment
• Ability to translate complex data into clear, actionable insights
• Experience with unsecured lending products such as loans or credit cards
• Strong communication skills and ability to work with non-technical stakeholders
• Python experience is beneficial but not essential

BENEFITS

The successful Lead Credit Risk Analyst will receive a salary up to £80,000-£90,000 as well as shares in the company.

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Principal Data Scientist

Remote | Salary up to $220,000 + 15% bonus

This is an opportunity to step into a senior, high-impact Principal Data Scientist role where you will shape the direction of advanced AI and data science initiatives at scale. You will work on commercially meaningful problems, leveraging cutting-edge techniques including generative AI, while influencing both strategy and delivery across a globally recognised platform.

The Company
They are a well-established, innovation-led organisation focused on delivering data-driven products at scale. With a strong investment in AI and advanced analytics, they partner closely across product, engineering, and design to create impactful, user-focused solutions. Their teams are highly collaborative and operate in a modern, fully remote environment that encourages autonomy and technical excellence.

The Role

• Lead the design and implementation of advanced data science and AI solutions aligned to business objectives
• Provide technical leadership across complex projects, setting direction and best practice for modelling and deployment
• Collaborate with cross-functional stakeholders to identify opportunities and define requirements
• Apply generative AI and other advanced methodologies to solve real-world problems
• Translate technical findings into clear, actionable insights for senior stakeholders
• Oversee project timelines and ensure successful delivery across multiple workstreams

Your Skills and Experience

• Strong commercial experience in data science and machine learning, with recognised expertise in a specialist area
• Deep understanding of production-level AI systems and recent exposure to generative AI techniques
• Proven ability to lead complex projects end to end, from concept through to deployment
• Experience working cross-functionally with product, engineering, or business teams
• Clear and collaborative communication style, with the ability to influence senior stakeholders
• Background in a quantitative or technical field such as Data Science, AI, Mathematics, or similar

What They Offer

• Salary up to $220,000 with a 15% performance bonus
• Fully remote working with flexibility and autonomy
• Opportunity to work on high-impact AI initiatives at scale
• Collaborative, forward-thinking technical environment
• Clear scope for progression into broader technical or strategic leadership roles

How to Apply
If you’re interested in exploring this Principal Data Scientist opportunity, apply now for a confidential discussion.

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Director, Streaming Product and Growth

Up to £160,000

Leeds (3 days a week on-site)

This is a rare opportunity to shape the commercial future of a large-scale digital streaming business undergoing significant transformation. You will own and accelerate the growth of a subscription proposition, driving both revenue and customer engagement while influencing at the highest levels of the organisation.

THE COMPANY

They are a major UK-based media organisation evolving from a traditional broadcast model into a digitally led, commercially focused business. With a strong commitment to innovation, they are investing heavily in their streaming platform and subscription offering to drive long term growth. Their transformation programme places data, product, and customer strategy at the centre of decision making.

THE ROLE

As a Director, you will act as the business owner for a key subscription product, with full accountability for growth, commercial performance, and customer experience.

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

• Define and deliver the strategic vision for the subscription proposition, including positioning, pricing and go to market strategy
• Own end to end P&L performance, driving revenue growth and improving commercial outcomes
• Develop and execute growth plans across acquisition, retention and engagement, with a focus on lifetime value and churn reduction
• Lead subscription modelling, forecasting and performance analysis to inform strategic decisions
• Shape and optimise the customer journey, including free to premium conversion mechanics
• Collaborate with product, marketing, analytics, content and commercial teams to deliver impactful initiatives
• Influence senior stakeholders and align cross functional teams to execute against a shared strategy
• Identify new opportunities for partnerships, product enhancements and market expansion

SKILLS AND EXPERIENCE

The successful Director will have the following skills and experience:

• Strong commercial experience in digital subscription, streaming, or direct to consumer businesses
• Proven ability to lead growth strategies and manage P&L performance
• Expertise in subscription mechanics including pricing, churn management and revenue forecasting
• Track record of influencing senior stakeholders and operating effectively across complex organisations
• Broad experience across marketing, product, analytics and commercial functions
• Data driven mindset, with the ability to turn insights into actionable strategies
• Experience delivering large scale, cross functional initiatives in a fast-moving environment

BENEFITS

The successful Director will receive the following benefits:

• Salary up to £160,000 – depending on experience
• 20% Performance-based bonus

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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