financial services DATA RECRUITMENT

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Staff ML Engineer

New York, New York – hybrid

$225,000 – $250,000 + bonus + LTI; $500,000-$700,000 total

THE COMPANY

Harnham is partnering with one of the most well known financial services companies, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment.

RESPONSIBILITIES

• Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions.

• Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

• Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

• Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations.

• Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

• Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

• Over 7 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

• Enterprise-level application experience, ideally in real-time preferred.

• Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

• Experience as a tech-lead for scaling MLE teams preferred.

• Commercial experience combination of big tech and scaling startups / scrappy environments a plus.

BENEFITS

The compensation package contains a base salary, bonus, LTI and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents

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AI Systems Engineer

£60,000-£95,000

Remote UK

This is an exciting opportunity to join a growing organisation investing heavily in AI innovation. You will build impactful AI solutions end to end, shaping production systems that support both internal teams and customer-facing products.

The Company
They are a technology-led organisation with a strong focus on scalable, secure, and responsible AI development. Their teams work collaboratively across data, engineering, and product functions, with a clear roadmap to modernise systems and develop new AI-driven capabilities.

The Role
* Develop and deploy AI and LLM-powered systems, from experimentation to production.
* Build RAG pipelines, agentic workflows, and intelligent automation tools.
* Design and maintain microservices for summarisation, extraction, forecasting, and other use cases.
* Work closely with engineering and product teams to integrate AI features into scalable applications.
* Ensure reliability, observability, and governance across all AI systems in production.
* Operate cloud-based AI infrastructure within AWS, supporting automation, monitoring, and CI/CD processes.

Your Skills and Experience
* Strong commercial experience in Python and modern software engineering practices.
* Proven capability building LLM applications, agents, or RAG solutions.
* Experience designing APIs and microservices using frameworks such as FastAPI or Flask.
* Hands-on exposure to AWS services used for AI and production deployment.
* Familiarity with evaluation, observability, or monitoring tools for LLM systems.
* Ability to collaborate effectively in cross-functional tech environments.

What They Offer
* Hybrid working with flexibility.
* Clear technical progression and opportunities to lead on new AI initiatives.
* A supportive, forward-thinking environment where you can shape innovative AI products.

How to Apply
If this sounds like the right next step, apply today to begin the conversation.

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Senior Data Scientist

A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production.

The Company
They are a growing data and AI organisation developing conversational tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams.

The Role

• Build and fine tune LLMs and NLP models for analytics and conversational products.
• Apply mathematical and quantitative thinking to financial use cases.
• Develop ML pipelines, model evaluation processes, and production ready code.
• Work with engineers to deploy models in AWS.
• Support and guide mid level Data Scientists.

Your Skills and Experience

• Strong commercial experience in Python, machine learning, and NLP.
• Hands on work with LLMs, fine tuning, and modern ML tooling.
• Ability to understand quantitative concepts for trading and financial analytics.
• Experience working in cloud based engineering environments, ideally AWS.
• Comfortable collaborating with cross functional teams.

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Applied AI Engineer

London (hybrid, three days per week onsite).
Competitive salary between £140,000 and £150,000.

This is an exciting opportunity to join an elite AI product team operating with the pace of a startup and the scale of a major software group. You will build production AI systems end to end, deploy into real customer environments, and accelerate your learning faster than almost anywhere else in the market.

The Company

They are an AI product incubator embedded within a large, well‑established B2B software investment environment. Their mission is to partner with portfolio companies to design, build, and ship AI products that have immediate commercial impact. Working in focused sprints, they deliver production systems into businesses across fintech, enterprise SaaS, and B2B services. The team is deliberately small, high‑performing, and structured to give engineers real ownership from day one.

The Role

• Build full‑stack, production AI applications from first architecture through to customer‑facing delivery.
• Develop backend, infrastructure, and frontend components using Python, FastAPI, React, TypeScript, and cloud platforms.
• Deploy GenAI and LLM‑based systems, including evaluation, observability, and agent‑based workflows.
• Operate in cross‑functional pods embedded into portfolio companies, typically for multi‑month build cycles.
• Work with technical and commercial leaders to define product direction and ship quickly in high‑velocity environments.
• Translate complex AI capabilities into scalable, reliable, revenue‑generating products.

Your Skills and Experience

• Strong commercial experience delivering end‑to‑end AI products into production environments.
• Broad engineering capability across backend, cloud infrastructure, and frontend development.
• Hands‑on experience with GenAI, LLM deployment, and production‑grade ML tooling.
• Comfortable working in ambiguous, fast‑moving settings such as startups or high‑intensity engineering teams.
• Confident communicating with both technical and non‑technical stakeholders, including senior leadership.
• A proactive, 0‑to‑1 mindset with the ability to set direction rather than wait for specifications.

What They Offer

• Competitive base salary.
• Meaningful carry and long‑term upside.
• Hybrid working across London or New York, with flexibility to engage with portfolio teams.
• Significant ownership, rapid progression, and direct exposure to C‑Suite stakeholders.
• The opportunity to build multiple AI products across different industries, accelerating your development in a way few roles can match.

How to Apply

If you are excited by the chance to build real AI products at scale, please apply with your CV.

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Lead Product Manager

London. Up to 110000 base plus bonus and benefits.

This is a rare opportunity to take ownership of AI and machine learning product strategy within a high-growth consumer fintech. You will lead the discovery, scoping and implementation of intelligence-led experiences across a platform used by more than a million customers, with full autonomy to shape how AI enhances journeys, recommendations and personalised guidance.

The Company
They are a mission-led consumer finance business with a rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based in London, working closely with engineering, data and decisioning teams.

The Role
You will:
* Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance.
* Lead end-to-end product management, from problem identification through to delivery and measurement.
* Provide strategic direction to teams with limited AI experience and champion best practices.
* Partner with engineering, design, data and decisioning teams to scope opportunities and define requirements.
* Drive systems-level thinking across journeys, ensuring intelligence is embedded consistently and effectively.
* Influence senior stakeholders and shape the long-term AI product roadmap.

Your Skills and Experience
You will bring:
* Strong experience delivering AI or ML‑enabled features in consumer mobile apps.
* A background in end-to-end product management with a focus on personalisation, recommendations or intelligent automation.
* The ability to think in systems and design experiences that span multiple journeys.
* Strong collaboration skills and confidence working with data, engineering and leadership teams.
* An individual contributor mindset with high influence and strategic ownership.

What They Offer
* Salary up to 110000 plus a 15 percent bonus and a comprehensive benefits package.
* Hybrid working with two days a week in their London office.
* High strategic impact as the first product hire dedicated to AI and ML.
* The chance to shape greenfield AI capability across a major consumer platform.

How to Apply
If you are a consumer-facing Product Manager with experience delivering AI or ML features and want to take ownership of a transformative roadmap, apply today.

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Analytics Manager

London, Hybrid | Up to £90,000 + bonus

This is a great opportunity to step into a visible Analytics Manager role where you will shape data-driven solutions for major financial services clients. You will lead a small team, own client relationships, and turn complex property and mortgage data into actionable insight that directly influences products and commercial decisions.

The Company

They are a specialist data and analytics business that supports banks, lenders, and financial services organisations with property, mortgage, and credit risk insight. Their products and analytics help clients make faster, smarter lending decisions using robust data and advanced modelling. You will join a collaborative analytics team that partners closely with product and commercial colleagues. The culture is dynamic, supportive, and geared towards innovation and continuous improvement.

The Role

As Analytics Manager, you will:

• Lead and mentor a team of analysts, managing day-to-day delivery and supporting their development.
• Own the delivery of analytics solutions for financial services clients, with a particular focus on property and mortgage data.
• Work directly with clients to understand their challenges and translate these into data-driven solutions.
• Present analytical insight to senior stakeholders, clearly explaining complex concepts to technical and non-technical audiences.
• Partner with product and commercial teams to shape new features and propositions using data.
• Support pre-sales activity by exploring client data, scoping solutions, and demonstrating the value of analytics.
• Proactively identify trends, risks, and opportunities in client and market data to inform product and strategy.

Your Skills And Experience

You will be a strong fit if you have:

• Solid commercial experience in analytics within financial services, mortgages, credit risk, or a closely related area.
• Proven experience leading or mentoring analysts, with the ability to manage delivery across multiple projects.
• Strong technical skills in Excel and SQL, with working knowledge of Python for analysis and modelling.
• A data storytelling mindset, able to turn complex analysis into clear, actionable insight for clients.
• Experience working with or alongside banks, mortgage lenders, or credit decisioning teams.
• A highly numerate, analytical approach with a creative, problem-solving mindset.
• Strong stakeholder skills, with confidence presenting to senior, technical and non-technical audiences.
• An interest in property, housing, and mortgage markets.

What They Offer

• Base salary up to £90,000, plus bonus and competitive benefits.
• Hybrid working, with 2 days per week in the London office and set team time together on Tuesdays.
• The chance to lead a high-impact analytics function with direct exposure to senior stakeholders and major financial institutions.
• Clear progression opportunities as the analytics and product functions continue to grow.
• A collaborative environment where new ideas, curiosity, and innovation are encouraged.

How To Apply

If you are an Analytics Manager, or a senior analyst ready to step up, and you are excited by the blend of client-facing work, team leadership, and hands-on analytics in London, apply with your CV to find out more.

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Senior Strategy and Analytics Manager
London. Up to 120000 base plus benefits.

This role offers the opportunity to own one of the most commercially critical levers in a fast-growing fintech. You will shape collections and recoveries strategy end to end, using advanced analytics to improve performance, optimise journeys, and influence how the business scales both in the UK and internationally.

The Company
They are a London-based fintech delivering innovative consumer and business products through a modern lending and subscription-style model. Built on strong financial foundations and backed by high-profile investors, they have recently undergone significant growth and continue to expand rapidly. Data sits at the heart of every strategic and operational decision, and you will join a high-performing Strategy and Analytics function with strong leadership and clear progression pathways.

The Role
You will:
* Lead the strategic development of collections and recoveries across consumer and business portfolios.
* Use SQL to interrogate complex datasets, uncover performance drivers, and identify opportunities to improve outcomes.
* Partner closely with operations, finance, engineering, and product teams to deliver scalable and commercially effective solutions.
* Develop data frameworks, tracking, and decisioning logic to support smarter risk and collections strategies.
* Drive continuous improvement across journeys, partner performance, customer segmentation, and operational design.
* Manage and mentor one direct report, supporting capability growth within the team.
* Present recommendations to senior leadership and influence strategy across the broader portfolio.

Your Skills and Experience
You will bring:
* Strong experience in collections, recoveries, credit strategy, lending analytics, or a similar data-led environment.
* Advanced SQL capability, with confidence working across complex multi-source datasets.
* A track record of using data to drive commercial and operational improvements.
* Experience collaborating with technical and non-technical teams across a fast-paced organisation.
* The ability to balance commercial, risk, and customer objectives to support sustainable growth.
* A strong quantitative or STEM background.
* Python skills are beneficial but not essential.

What They Offer
* Up to 120000 base salary plus benefits and share options.
* Hybrid working structure with three days a week in the London office.
* High visibility within an experienced Strategy and Analytics leadership team.
* The opportunity to influence a core part of the business’s unit economics at a pivotal stage of growth.
* Clear development pathways as the company expands into new markets.

How to Apply
If you have strong SQL skills and experience shaping data-driven strategies within collections, lending, or commercial analytics, apply today to learn more.

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Strategy Insight Analyst

Southampton (5 days per week on-site)
£40,000 – £50,000 + benefits

A well-established UK financial services business is hiring a Strategy Insight Analyst to join a growing operations analytics function. The role sits at the intersection of data, operations and strategy, supporting decision-making across the full customer lifecycle.

This position is suited to someone who enjoys getting close to how a business actually runs and using data to improve processes, outcomes and customer experience.

The role

• Deliver analytical insight across customer acquisition, decisioning, account management and collections

• Support operational and strategy teams with data-led recommendations

• Work on end-to-end analytical projects: data extraction, analysis, insight and stakeholder reporting

• Translate complex analysis into clear, practical outputs for non-technical audiences

• Contribute to the development of operational strategy and performance optimisation

What they’re looking for

• 2+ years’ experience in an analytical role (financial services preferred)

• Strong SQL skills and experience with a data visualisation tool

• Evidence of owning analytical work from problem definition to business impact

• Commercially minded, curious and comfortable working in a fast-moving environment

• Strong communication skills and a collaborative working style

• UK experience required (no sponsorship available)

Why consider it

• Broad exposure across multiple business areas rather than a narrow reporting role

• High visibility with senior stakeholders

• Growing analytics team with clear progression opportunities

• Opportunity to shape the role based on your interests and strengths

Location: Southampton – 5 days per week on-site
Salary: £40,000-£50,000

Find out more and apply via the link below.

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Strategy Analytics Manager
London. Up to 90000 base plus benefits.

This is an opportunity to shape approval strategy in a fast-growing fintech environment, working closely with senior leaders to improve credit decisioning, customer conversion, and overall portfolio performance. You will join a data-first organisation where analytical thinking directly influences commercial outcomes.

The Company
They are a London-based fintech offering innovative consumer and business products, built on a modern lending and subscription-style model. The company operates with strong backing, a proven path to profitability, and a growing international footprint. Data, experimentation, and strategic analytics form the basis of how they make decisions, and they are scaling their Strategy and Analytics team with high-calibre talent.

The Role
You will:
* Lead strategic initiatives focused on improving approval rates and credit decision quality across multiple product lines.
* Use strong SQL capability to interrogate complex datasets and identify drivers of risk, conversion, and performance.
* Build scalable frameworks for tracking and monitoring approval strategies.
* Partner with growth, marketing, product, and risk teams to balance commercial objectives with customer outcomes.
* Test and iterate on approval and underwriting strategies in response to market conditions.
* Present data-driven recommendations to senior stakeholders and influence key decisions across the business.

Your Skills and Experience
You will bring:
* Strong commercial experience in lending, credit risk, approvals, underwriting strategy, or similar data-led environments.
* Advanced SQL skills, including experience working directly with complex, multi-source data.
* Proven ability to use data insights to drive measurable strategy changes.
* Experience collaborating across teams and communicating with non-technical stakeholders.
* A strong quantitative or STEM background.
* Python is beneficial but not essential.

What They Offer
* Up to 90000 base salary plus benefits and share options.
* Hybrid working pattern with three days a week in the London office.
* Exposure to experienced leaders in a high-performing Strategy and Analytics function.
* Clear progression opportunities as the business continues to scale in the UK and internationally.

How to Apply
If you have strong SQL skills and experience shaping data-driven strategy in lending or analytical environments, apply today to learn more.

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QA Automation Engineer
London – 2 days in the office
Up to £60,000 plus benefits

This is an exciting opportunity to join a high‑growth technology environment where quality engineering plays a central role. You will help shape a modern test automation function, working with advanced tooling, AI‑assisted approaches, and a microservices architecture to improve reliability, performance, and delivery speed.

The Company
They are a fast‑scaling technology business developing an innovative digital product that empowers users through data, behavioural insight, and exceptional user experience design. Their teams work in cross‑functional squads, collaborating closely to deliver a product that is continually evolving. With strong investment and a culture built around innovation, they offer an environment where engineering decisions genuinely influence product outcomes.

The Role
* Develop and enhance automated test suites to reduce manual testing.
* Contribute to the delivery of a modern financial technology product in a scale‑up setting.
* Collaborate with product managers, developers, and QA peers to ensure clarity, consistency, and testability of requirements.
* Use AI tools to accelerate test creation, debugging, and synthetic data generation.
* Plan, design, and execute testing across smoke, regression, functional, and performance areas.
* Create and maintain test documentation.
* Work within Agile squads, contributing to planning, estimation, and continuous improvement.
* Support the adoption and expansion of test automation across the wider QA community.

Your Skills and Experience
You bring
* Strong commercial experience in QA automation using Java or Kotlin.
* Hands‑on use of AI tools to enhance productivity.
* A deep understanding of OOP principles.
* Proficiency in HTML, CSS, JavaScript, and modern web architecture.
* Strong API testing capability using tools such as RestAssured, Feign, Swagger, or Postman.
* Experience writing UI tests with Selenium, Selenide, or Playwright.
* Familiarity with TestNG, JUnit, and SQL for data validation.
* Experience with monitoring and debugging tools such as Sentry or Elasticsearch.
* Understanding of performance testing concepts and tools like JMeter or Gatling.
* Experience using test management systems (for example TestRail) and project tools such as Jira and Confluence.
* Knowledge of CI/CD pipelines, ideally GitHub Actions.
* Experience working in an Agile, fast‑paced environment, ideally with microservices.

What They Offer
* Salary up to £60,000 depending on experience.
* Hybrid working in London.
* Private healthcare, wellbeing support, and family‑friendly policies.
* 25 days annual leave plus inclusive, balanced team socials.
* Pension contributions and optional salary sacrifice arrangements.
* Support for professional development and access to a modern, welcoming workspace.

How to Apply
If this sounds like the right next step for you, please apply with your CV and we will be in touch.

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Software Engineer – Anomaly Detection

Remote

THE COMPANY

This is an opportunity to work with cutting‑edge AI infrastructure, production‑grade serverless technologies, and complex statistical modelling in a highly collaborative, tech‑forward environment.

THE ROLE

As a Software Engineer specialising in anomaly detection, you will design, build and maintain internal Python libraries, data validation workflows, and cloud‑based systems used across multiple data teams. You will take ownership of model development, tooling improvement and automated data quality checks for high‑value financial datasets.

You will:

• Maintain, version and release internal Python libraries used in data science workflows
• Build statistical and ML‑driven anomaly detection models for financial index validation
• Develop and support AWS serverless pipelines (Lambda, Step Functions, S3, SQS, DynamoDB)
• Apply strong testing practices through unit, integration, and regression tests
• Conduct code reviews, enforce coding standards and support internal users
• Design event‑driven architectures for automated data validation and publication

SKILLS & EXPERIENCE

Required Experience

• 2-4 years in software engineering, analytics engineering, or data science
• Advanced Python skills and strong engineering practices
• Hands-on AWS experience (Lambda, S3, SQS, Step Functions, ECS, DynamoDB, CloudWatch)
• Statistical anomaly detection methods (Z‑scores, IQR, CUSUM, control charts, etc.)
• Time-series analysis or forecasting (ARIMA, Prophet, exponential smoothing)
• Git branching, CI/CD, automated testing/deployment workflows

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Senior AI Engineer – Fully Remote

A chance to join a growing AI team and build high‑impact tools across automation, chatbots, and modern LLM workflows. This role suits someone who enjoys solving real problems with practical, scalable AI.

The Company
They are a tech‑focused organisation using AI to improve internal operations and develop new intelligent products. Their AI capability is expanding quickly, creating strong opportunities for growth.

The Role
* Build AI solutions across RAG, agentic workflows, and LLM applications.
* Develop automation tools, chatbots, and content generation systems.
* Work with AWS, LangChain, and vector databases.
* Contribute to both internal and future client‑facing products.

Your Skills and Experience
* Strong commercial experience with RAG, agents, and LLM tooling.
* Confident with Python, AWS, and LangChain or similar frameworks.
* Hands on with vector databases and retrieval pipelines.
* Comfortable identifying problems and delivering end‑to‑end solutions

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