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AI / Machine Learning Engineer

Fully Remote

$150-200K plus equity

We’re hiring an AI/ML Engineer to build the intelligence behind a new financial platform. This is a foundational role where you’ll design and deploy models that power real underwriting, cash-flow forecasting, and automated financial decisions used in production.

You’ll work end-to-end from messy transaction data to real-time ML systems, and your work will directly influence how businesses manage and move money.

What You’ll Do

• Build and ship ML models that analyze and predict small-business cash flow.
• Develop underwriting and decisioning systems that drive real financial outcomes.
• Create real-time signals and insights that balance risk, growth, and trust.
• Own the full ML lifecycle: data → modeling → deployment → monitoring.
• Partner closely with product and leadership to shape the AI roadmap.

What We’re Looking For

• Experience shipping ML or data-driven systems into production.
• 2+ years of experience.
• Experience within a start-up environment.
• Comfort working with noisy, real-world financial or transactional data.
• Strong Python and applied ML skills.
• Product-minded, impact-driven, and excited by high-ownership environments.

Why This Role

• Your models will directly control real financial decisions.
• You’ll help define the AI foundation of an early-stage fintech.
• High ownership, fast iteration, and visible impact from day one.

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Lead AI Engineer

Toronto, ON – 3 days onsite/week

200,000 – 225,000 CAD + bonus + LTI; 300,000 – 400,000 CAD 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 | Recommendation Engine | Recommender System | Personalization | Agentic AI | AI Agents

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VP of Engineering – Fintech

Location: New York, NY (3 days/week on site minimum)

Compensation: $325,000-$350,000 base + 40% bonus + RSUs

About the Company

Harnham is partnering with a Fortune 500 leader in cybersecurity and digital trust, combining the scale of a global enterprise with the agility of a startup culture. The company protects hundreds of millions of users worldwide, boasts best-in-class retention, and maintains an unwavering commitment to innovation.

Its platform processes over half a million telemetry events per second, and following a major fintech acquisition in 2025, the organization has significantly expanded its footprint in New York City.

The Role

They are looking for a Vice President of Engineering to oversee a global engineering organization of 150+ professionals, supported by approximately 10 direct reports. This is a highly visible, reporting directly to the C-suite.

Key responsibilities include:

• Leading the development of customer-facing applications across mobile and web, as well as core backend and infrastructure initiatives.

• Driving the integration of existing products with newly acquired fintech platforms to unlock and maximize strategic value.

• Advancing AI adoption across both products and internal operations, with AI solutions already live in production and a target of achieving 30%+ productivity improvements.

• Scaling platforms to support large-scale, real-time, high-throughput environments.

• Shaping business and technology strategy in close partnership with senior executive leadership.

Ideal Candidate Profile

• 10+ years of experience leading commercial software development teams.

• Demonstrated success within scaling fintech organizations with customer-facing products (e.g., Stripe, Plaid, Chime, Chase, Capital One).

• Experience with regulatory requirements is a plus.

• Deep experience designing and operating large-scale, real-time systems.

• Strong technical grounding, with experience in Java, React, or Scala preferred; background in platform or system migrations is a plus.

• Ability to thrive in a fast-moving Fortune 500 environment with a startup mindset; comfortable in matrixed companies.

• Strategic, forward-looking leader with a strong interest in AI-powered innovation.

BENEFITS

The compensation package contains a base salary, bonus, RSUs 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

Software Engineering | Leadership | VP | Engineering | Fintech | Customer | Customer-Facing | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence

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Staff AI 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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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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AI Engineering Lead

New York City (5 days a week in‑office)

$200,000 base / ~$450,000 total compensation

We’re partnered with a high‑performing financial services firm operating at the intersection of technology, data, and investment decision‑making. They’re looking to bring on a senior AI leader to drive the next phase of applied AI across core investment and research workflows.

This is a hands‑on leadership role suited to someone who has built and owned production‑grade AI systems in fast‑moving, high‑stakes environments.

What you’ll be doing

• Owning the technical direction for applied AI initiatives across investment and operational use cases
• Translating complex problems from investment, trading, and research teams into scalable AI solutions
• Designing and deploying LLM‑powered systems that move beyond experimentation and into daily use
• Building intelligent, multi‑step AI workflows that integrate securely with internal data and tooling
• Setting standards around model evaluation, deployment, monitoring, and iteration
• Acting as a technical mentor and bar‑raiser within a small, elite engineering group

What they’re looking for

• Strong engineering background with real production AI ownership
• Experience delivering AI/ML systems within hedge funds, asset managers, fintechs, or quantitative environments
• Deep understanding of modern LLM architectures, agent‑style systems, and applied ML patterns
• Comfortable working closely with senior stakeholders in a commercially driven setting
• Happy to be fully on‑site in New York, five days a week

Why this role

• Meaningful ownership over AI strategy, not a research sandbox
• Direct exposure to investment decision‑makers
• Highly competitive compensation aligned with top‑tier buy‑side talent
• A mandate to build systems that are actually used – not just explored

If you’re coming from a hedge fund, systematic trading firm, or fintech and want to lead applied AI where it genuinely matters, this is one worth exploring.

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Data Engineering Manager

Location: Remote, US based

Salary: $200-250k Base Salary

We are partnering with a fast growing company at the intersection of fintech, gaming, and digital commerce to hire a Data Engineering Manager. This leader will own the company wide data strategy, data ecosystem, and data organization.

If you have built modern data platforms in regulated financial environments and want to shape the future of real time digital economies, this role offers company level impact.

The Opportunity

You will turn data into a strategic, revenue enabling asset by architecting and running a modern data stack that powers real time analytics, forecasting, ML insights, and regulatory reporting. This includes building semantic layers, unified source of truth datasets, experimentation frameworks, and high-quality telemetry.

You will oversee the full data lifecycle so product, commercial, risk, and compliance teams have timely, trusted data that drives GTM strategy, financial planning, customer analytics, churn modeling, fraud detection, and product optimization.

What You Will Lead

• Enterprise data strategy, roadmaps, data product vision, and multi year investment planning
• Data governance including cataloging, lineage, metadata, SLAs, access controls, and auditability, plus standardized KPIs and metric definitions
• Modern data architecture including real time pipelines, event streaming, warehousing, lakes, modeling, orchestration, and CI/CD for analytics and ML
• Analytics leadership across BI, self service, dashboarding, reporting, product analytics, forecasting, experimentation, and cohort analysis
• Data science enablement for predictive models, risk scoring, automated decisioning, and personalization, with infrastructure to deploy models
• Team leadership across data engineering, BI, analytics, and applied science including hiring, mentorship, operational rigor, and quality standards
• Cross functional partnership with Product, Engineering, FP&A, Compliance, and GTM to support product innovation, financial modeling, AML and KYC workflows, and market expansion
• Data activation through dashboards, workflow automation, internal data apps, and decision support tools

What You Bring

• 10+years in data with at least 3 in senior leadership
• Experience in high growth fintech, payments, or regulated financial services
• Proven ability to build and scale enterprise data ecosystems
• Expertise in data governance, quality, and regulatory compliance including AML and KYC
• Strong leadership and communication skills
• Technical depth in cloud warehouses, modeling, ETL and ELT, orchestration, and BI
• Strong SQL and familiarity with Python
• Experience with AWS data services and infrastructure as code
• Bonus: crypto, gaming, or internal tooling experience

Why This Role

Join a company shaping next generation digital commerce and build the data function for a global, highly regulated business. You will have full ownership, executive visibility, and the mandate to design a data organization that enables innovation at scale.

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Senior Data Engineer

Location: Chicago, IL (Hybrid)

Pay: $120k – $150k base + bonus

About the Company

We are partnered with a growth-stage fintech company building transparent, borrower-friendly financial products. The team is simplifying access to credit through data-driven decision-making, modern infrastructure, and a strong emphasis on customer outcomes. You will join a small, collaborative, and impact-oriented department.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using Snowflake, Airflow, Fivetran, and dbt
• Develop and optimize SQL- and Python-based workflows for data ingestion, transformation, and automation
• Partner with business stakeholders to design and maintain reliable data marts, addressing data quality gaps and inconsistencies
• Implement robust testing and validation frameworks, particularly within dbt models, to ensure end-to-end data reliability
• Apply data platform reliability best practices, including monitoring and alerting (e.g., Datadog) for ETL workflows
• Collaborate cross-functionally to translate business needs into scalable data solutions
• Own projects end to end while contributing effectively within a collaborative team environment

Qualifications

• 3 – 5 years of experience in data engineering or analytics engineering roles (fintech or regulated environments preferred)
• Bachelor’s degree in a relevant field or equivalent practical experience
• Strong proficiency in SQL
• Hands-on experience with Python, Snowflake, Airflow, Fivetran, and dbt
• Solid understanding of data modeling, version control (Git), and CI/CD workflows
• Experience operating data platforms in cloud environments, preferably AWS
• Strong communication skills, business intuition, and the ability to troubleshoot complex data issues

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Senior Machine Learning Engineer

Remote, HQ in New York, New York

$180,000-200,000 base salary + bonus + benefits

Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer will likely have the following skills and experience:

• 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
• Experience working in a fast-moving organization is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or private equity a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-200,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

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Mid‑Level Data Scientist

Location: Central London

Working Pattern: 4 days in office (Mon-Thurs)

Salary: £60,000-£75,000 total comp (including bonus)

Sponsorship: Not available

About the Role

If you’re a Data Scientist who loves solving real problems, experimenting with new ideas, and seeing your work make a meaningful impact, this role is designed with you in mind.

You’ll join a supportive and collaborative data function within a global investment organisation that’s using AI, LLMs, and modern data science to enhance how investment decisions are made. The work is varied, intellectually engaging, and grounded in real‑world outcomes – a great fit for someone who enjoys developing their skills while contributing to purposeful projects.

You’ll be encouraged to explore new approaches, share ideas openly, and help shape how projects evolve over time.

What You’ll Work On

Research & Innovation

• Exploring new AI and LLM‑based use cases

• Building proofs of concept and experimenting with modern NLP and agentic frameworks

• Applying language models to complex, unstructured datasets

Production & Deployment

• Turning research into scalable, production‑ready models

• Improving and maintaining established pipelines

• Working end‑to‑end across the full data science lifecycle

Analytical Project Work

• Running short, focused projects that support investment decisions

• Using NLP and classical ML to extract insights from diverse data sources

If you enjoy moving between research, hands‑on coding, and applied problem‑solving, you’ll feel at home here.

What You Bring

Core Skills

• Strong Python (pandas, scikit‑learn, etc.)

• Solid grounding in classical data science

• Experience delivering end‑to‑end data science projects

• Familiarity with LLMs, NLP, or language‑based analysis

• Cloud experience (GCP preferred; AWS/Azure welcome)

• Good coding practices and understanding of software development principles

Nice to Have

• Transformers / Hugging Face

• Snowflake, BigQuery, or data lake experience

• Streamlit or dashboarding tools

• Exposure to finance or markets (not required)

• Interest in full‑stack development

Who You Are

• 1-3 years’ experience as a Data Scientist

• STEM degree or equivalent technical background

• Comfortable working with a balance of independence and collaboration

• Clear communicator who enjoys working with others

• Motivated by complex challenges and opportunities to learn

Why This Role Stands Out

• Competitive base salary + 10% bonus

• Work on cutting‑edge AI and LLM applications

• Variety across research, production, and analytical projects

• Opportunities to contribute to meaningful decisions and outcomes

• A culture that values curiosity, creativity, and continuous learning

Apply below!

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Founding Machine Learning Engineer

New York, New York

$180,000-200,000 base salary + equity + benefits

Harnham is partnered with a fintech startup that is disrupting a key area of credit risk in real estate. They are building out an AI platform that will revolutionize how certain credit risk tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for machine learning infrastructure and model deployment for the company’s AI platform
• You will report directly to the founding team and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel ML and AI applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Founding Machine Learning Engineer will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on deploying ML models in credit risk
• Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in real estate or financial services a plus
• History of partnering with non-technical stakeholders required
• Experience as a tech lead for ML teams preferred
• BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $180,000-200,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | Real Estate | Credit Risk | Founding Team

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Lead Data Engineer

UK – Remote | £110,000-£130,000 + benefits

This is an exciting opportunity to step into a high‑impact Lead Data Engineer role within a fast‑scaling, fully remote tech business. You’ll shape their data engineering function, lead technical direction, and build modern, robust data infrastructure that directly powers real‑time product and commercial decision‑making.

The Company

They are a next‑generation digital platform operating in a fast‑growing consumer market, backed by recent multi‑million Series C investment. Their product is built around best‑in‑class engineering, modern design, and a mission to deliver an intuitive, mobile‑first user experience. With strong year‑on‑year growth, they are now expanding their data function to support scale, performance, and product innovation.

You’ll be joining an engineering‑driven environment where data is central to the product and where technical excellence is genuinely valued.

The Role

As Lead Data Engineer, you will act as both a hands‑on technical expert and a mentor to a growing team. You’ll drive engineering standards, own key architectural decisions, and deliver scalable, reliable pipelines and models.

You will:

• Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation.
• Build and maintain high‑quality ETL pipelines using modern tooling and cloud‑native infrastructure.
• Develop robust data models and frameworks to support analytics, reporting, and product teams.
• Champion best practices across testing, version control, monitoring, and CI/CD.
• Collaborate with engineering and data leadership to align technical decisions with broader business strategy.
• Mentor mid‑level and senior engineers, raising the bar on technical capability and engineering quality.
• Influence tooling choices and introduce new technologies to improve reliability and scalability.

Your Skills & Experience

You will be a strong fit if you bring:

Must‑haves

• 7+ years’ experience in data engineering.
• Deep expertise in Python and SQL.
• Strong experience building ETL pipelines and distributed data systems.
• Solid cloud experience – ideally AWS (open to GCP).
• Orchestration experience (Dagster, Airflow, or similar).
• Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery.
• Infrastructure‑as‑code experience (Terraform or Pulumi).
• Strong data modelling capability (dimensional modelling, Data Vault, etc.).
• Background in software engineering or backend development is highly desirable.
• Experience in high‑growth or smaller technology environments.

Nice‑to‑haves

• Snowflake experience.
• Experience with dbt, Fivetran, AWS Glue, or Apache Iceberg.
• Prior leadership or mentoring experience (team lead/tech lead).

What They Offer

• The opportunity to influence architecture, tooling, and engineering standards from day one.
• A pathway into broader leadership as the team expands to 8+ engineers.
• A modern, well‑funded environment where engineering maturity is valued and rewarded.

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