data & AI
Diversity Report

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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.

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here

To Apply for this Job Click Here

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

To Apply for this Job Click Here