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Partner – Head of US Entity
New York City (Remote East/Mid)
Up to 600,000 total compensation

This is a rare opportunity to launch and scale the US arm of a fast‑growing Data and AI consulting practice. You will shape market strategy, build new business from the ground up, and set the foundations for long‑term commercial success. If you are driven by autonomy, entrepreneurial impact, and high‑value consulting work, this role offers a compelling next step.

The Company

They are a specialist strategy and data consulting firm with a strong track record supporting enterprise clients on high‑impact transformation programmes. Alongside a well‑established global presence, they are now expanding into the US and are making their first senior hire to lead and grow this market. With a boutique culture, low bureaucracy, and a deep focus on quality, they offer a highly collaborative environment and strong commercial backing.

The Role

As Partner and Head of the US Entity, you will be responsible for establishing the firm’s presence and driving commercial growth across the region. You will:

* Generate new revenue and open doors with C‑level stakeholders

* Sell Data and AI transformation programmes to enterprise clients

* Build long‑term client relationships and secure flagship accounts

* Lead the commercial development of the US business

* Shape the go‑to‑market strategy and activate existing network opportunities

* Lay the groundwork for future team growth as the practice scales

Your Skills and Experience

You will be a strong match for this role if you have:

* Proven commercial capability in consulting, ideally selling Data or AI transformation work

* Experience building business from scratch and initiating new market growth

* Ability to engage credibly with C‑level decision‑makers

* A strong network in the US market

* Clear, confident communication skills

* A US base and native‑level English

What They Offer

* Competitive base salary around 200,000 to 300,000 with potential for higher

* Total compensation typically between 400,000 and 600,000

* Performance‑linked bonus

* Equity participation

* Full autonomy to shape the US business

* Entrepreneurial environment within an established global firm

How to Apply

If you are looking to lead and scale a Data and AI consulting practice in the US, please apply with your most recent resume.

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Lead AI Engineer
Arlington, PA – Competitive Salary & Benefits

This is a standout opportunity to shape the future of large‑scale agentic AI systems within a fast‑growing environment. You will take ownership of high‑impact initiatives, guiding the architecture, build, and deployment of cutting‑edge LLM‑powered agents used across complex workflows.

The Company
They are a technology‑driven organisation building AI‑enabled products that support mission‑critical decision‑making. Their teams work across data, engineering, and product to deliver tools that streamline highly complex operational challenges. With strong investment in AI innovation, they offer an environment where advanced experimentation and production‑grade delivery go hand in hand.

The Role
* Lead the technical direction of agentic AI development, from design through to deployment.
* Build multi‑agent systems with planning, memory, routing, and tool orchestration.
* Develop modular agent skills that integrate with backend systems and data pipelines.
* Establish observability and evaluation tooling to ensure robust and reliable agent behaviour.
* Guide and mentor Engineers and Data Scientists, driving technical best practice.
* Work closely with product teams to translate complex challenges into engineered solutions.

Your Skills & Experience
* Strong commercial experience building and productionising ML or LLM‑powered systems.
* Advanced Python engineering skills and experience with cloud infrastructure.
* Hands‑on expertise with LLM integrations and agent frameworks.
* Ability to lead technical delivery and operate effectively in ambiguous environments.
* Skilled in designing scalable, reliable AI architectures.

What They Offer
* Competitive salary with comprehensive benefits.
* A key leadership position with influence over the direction of core AI products.
* Career development within a high‑growth AI organisation.

How to Apply
If you are excited by leading cutting‑edge agentic AI development, apply today.

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Senior AI Engineer
Pittsburgh, PA – Competitive Salary & Benefits

This role gives you the chance to build advanced agentic systems that solve complex, real‑world problems. You will work on high‑impact workflows, building and optimising agents that handle end‑to‑end tasks supported by LLM‑driven reasoning and planning.

The Company
They develop AI‑powered products that enhance decision‑making for highly technical environments. Their teams thrive on tackling complex problems, rapidly iterating, and pushing the boundaries of applied AI. With a culture rooted in innovation, this is a place where you can drive meaningful impact.

The Role
* Design and build agentic systems with tool use, planning, memory, and routing.
* Develop agent skills as modular services interacting with core data and ML systems.
* Own technical architecture across agent workflows, ensuring maintainability and scale.
* Support automated evaluation of prompts, skills, and agent behaviour throughout product lifecycles.
* Collaborate with cross‑functional teams to solve high‑priority challenges with agent‑based solutions.

Your Skills & Experience
* Strong commercial experience developing ML or LLM‑powered systems.
* Advanced Python engineering and cloud environment experience.
* Deep familiarity with LLM algorithms, limitations, and integration patterns.
* Experience with agent frameworks and building complex agentic workflows.
* Ability to work independently in fast‑paced, ambiguous settings.

What They Offer
* Competitive salary and full benefits package.
* Exposure to cutting‑edge agentic AI systems and large‑scale technical challenges.
* Significant impact on the evolution of next‑generation AI capabilities.

How to Apply
If you want to shape the future of AI‑driven workflows, send your application today.

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Lead AI Engineer

Pittsburgh
Up to $200K base

This is a standout opportunity to shape the future of large‑scale agentic AI systems within a fast‑growing environment. You will take ownership of high‑impact initiatives, guiding the architecture, build, and deployment of cutting‑edge LLM‑powered agents used across complex workflows.

The Company
They are a technology‑driven organisation building AI‑enabled products that support mission‑critical decision‑making. Their teams work across data, engineering, and product to deliver tools that streamline highly complex operational challenges. With strong investment in AI innovation, they offer an environment where advanced experimentation and production‑grade delivery go hand in hand.

The Role
* Lead the technical direction of agentic AI development, from design through to deployment.
* Build multi‑agent systems with planning, memory, routing, and tool orchestration.
* Develop modular agent skills that integrate with backend systems and data pipelines.
* Establish observability and evaluation tooling to ensure robust and reliable agent behaviour.
* Guide and mentor Engineers and Data Scientists, driving technical best practice.
* Work closely with product teams to translate complex challenges into engineered solutions.

Your Skills & Experience
* Strong commercial experience building and productionising ML or LLM‑powered systems.
* Advanced Python engineering skills and experience with cloud infrastructure.
* Hands‑on expertise with LLM integrations and agent frameworks.
* Ability to lead technical delivery and operate effectively in ambiguous environments.
* Skilled in designing scalable, reliable AI architectures.

What They Offer
* Competitive salary with comprehensive benefits.
* A key leadership position with influence over the direction of core AI products.
* Career development within a high‑growth AI organisation.

How to Apply
If you are excited by leading cutting‑edge agentic AI development, apply today.

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Senior MLOps Engineer
Location: United States (NYC, Austin, San Francisco preferred)
Remote: Hybrid (2-3 days on-site in major hubs) or Full Remote (US-based
Salary: Competitive base salary + equity
Visa: No sponsorship

Company

High-growth Series B AI startup transforming one of the world’s largest and least digitized industries. The company builds AI-powered platforms and autonomous agents used by thousands of professionals in real-world operational environments. Backed by top-tier venture capital firms, the organization is entering a major scale-up phase, deploying production-grade AI systems across complex workflows and large enterprise customers.

The Role

• Design and manage infrastructure for distributed model training using modern cloud and orchestration tools.
• Deploy and operate machine learning models using Docker, Kubernetes, ECS, and scalable serving frameworks.
• Integrate ML workflows into CI/CD pipelines to support rapid experimentation and reliable deployment.
• Build and maintain robust data and ML pipelines using orchestration tools such as Prefect or Airflow.
• Implement experiment tracking, observability, and monitoring across the full ML lifecycle.

Desired Profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
• 5+ years of experience in MLOps or ML Platform Engineering, including large-scale production deployments.
• Strong expertise with AWS cloud infrastructure, Docker, Kubernetes, and modern MLOps tooling.
• Hands-on experience managing GPU/CPU workloads for Computer Vision, NLP, or LLM-based systems.
• Strong communication skills and ability to operate autonomously in a fast-paced startup environment.

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Senior Machine Learning Engineer – Credit Risk
Location: United States
Remote: Full Remote (US-based only)
Salary: Up to $200k + equity
Visa: No sponsorship available

Company

Early-stage fintech startup building advanced technology to modernize credit decisioning and risk assessment. The company develops data-driven products that help businesses better evaluate financial risk, automate underwriting processes, and improve access to credit through more accurate and transparent models.

The Role

• Design, build, and deploy machine learning models focused on credit risk and underwriting use cases.
• Own the full ML lifecycle, from data exploration and feature engineering to production deployment and monitoring.
• Work closely with product and engineering to translate business problems into scalable ML solutions.
• Improve model performance, stability, explainability, and compliance in a regulated environment.
• Operate with a high level of autonomy in a small, fast-moving startup team.

Desired Profile

• 4-5 years of professional experience as a Machine Learning Engineer or Data Scientist with strong deployment exposure.
• Mandatory expertise in credit risk modeling (PD, LGD, EAD, underwriting, scoring models).
• Strong Python skills and hands-on experience deploying models into production environments.
• Background in Computer Science, Applied Mathematics, Statistics, or a related quantitative field (Master’s preferred).
• Excellent communication skills, ownership mindset, and ability to thrive in a highly autonomous startup environment.

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AI Scientist / Research Engineer (Applied Research)
Location: New York City
Remote: Hybrid (minimum 3 days on-site)
Salary: Top-of-market base salary + equity
Visa: No sponsorship

Company

AI-driven healthcare technology company building a next-generation platform to automate complex revenue. With access to real-world, high-stakes datasets, the company focuses on deploying cutting-edge machine learning research directly into production environments.

The Role

• Conduct applied machine learning research on large-scale, real-world healthcare data.
• Design and train advanced models focused on explainability, reinforcement learning, and long-context information retrieval.
• Move rapidly from research concepts to production-ready systems with measurable business impact.
• Design experiments, evaluate models, and contribute end-to-end code from prototype to deployment.
• Collaborate closely with MLOps, product, and engineering teams to operationalize research outcomes.

Desired Profile

• PhD in Computer Science, Machine Learning, Informatics, or a closely related field.
• 3+ years of industry or postdoctoral experience in applied ML research.
• Strong publication record at top-tier venues such as NeurIPS, ICML, EMNLP, MLHC, CHIL, or equivalent.
• Hands-on experience building novel architectures and pipelines using PyTorch, TensorFlow, or JAX.
• Background in one or more of the following: model interpretability, reinforcement learning, retrieval-augmented generation, or long-context retrieval.

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Senior Data Scientist
Remote – Competitive Salary & Benefits – Travel 25% / per month across the world

This is a unique opportunity to apply advanced AI and data science in highly complex, mission‑critical environments. You will work directly on real‑world challenges, building scalable AI solutions that drive strategic decisions and high‑impact outcomes.

The Company
They specialise in developing AI‑enabled platforms that support sophisticated analytical and operational needs. Their teams work with diverse datasets, combining deep technical expertise with domain insight to deliver tools that influence major strategic decisions. They encourage creativity, rapid iteration, and innovation in applied AI.

The Role
* Develop AI, ML, and data science solutions for complex analytical problems.
* Build scalable AI platforms tailored to specific operational requirements.
* Lead full‑lifecycle AI project execution, from research to production deployment.
* Collaborate with research, engineering, and software teams to deliver robust systems.
* Introduce and champion new AI methodologies, including LLMs and agentic systems.
* Mentor team members and support a culture of technical excellence.
* Translate broad requirements into actionable technical plans.

Your Skills & Experience
* Strong commercial experience delivering production‑ready AI systems.
* Expertise in AI fundamentals, LLMs, and modern AI development workflows.
* Ability to define architectures, drive roadmaps, and oversee end‑to‑end delivery.
* Skilled in collaborating across engineering, research, and product functions.
* Strong communication skills for both technical and non‑technical audiences.

What They Offer
* Competitive salary, benefits, and flexible location options.
* Direct impact on high‑stakes challenges and strategic AI initiatives.
* Opportunities to drive innovation and shape emerging AI practices.

How to Apply
If you want to build AI solutions that make a tangible impact, apply now.

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Applied Automation Engineer
Competitive salary between, £60,000 to £100,000
London – first month 5 days in office, changes to 3 after
No sponsorship available

This is a rare opportunity to take ownership of a high impact automation programme within a small, high trust investment environment. You will lead the delivery of a business critical reporting and calculation platform, replacing long standing manual processes with a scalable, automated solution. The role is offered as a 12 month fixed term contract with a strong likelihood of extension or conversion to permanent, based on project success.

The Company

They are an established investment business operating within the alternative investment space, managing capital for private investors and institutional clients. The organisation is intentionally small and flat, with low bureaucracy and direct access to senior leadership including the founder. Collaboration is central to how they work, with an open culture that values pragmatism, trust, and delivery over hierarchy.

The Role

You will sit within the Data Science function, reporting directly to the Head of Data Science and working closely with senior stakeholders across the business.

Responsibilities include:

• Owning the end to end delivery of an automated LAV and NAV calculation platform
• Automating the ingestion of structured and unstructured data from multiple sources including reports, internal systems, APIs, Excel files, and PDFs
• Designing and implementing robust data pipelines and workflows
• Building and maintaining SQL based data models to support complex financial calculations
• Reducing manual intervention and operational risk across core reporting processes
• Collaborating with data science, engineering, IT, and business stakeholders to deliver a production ready system
• Focusing on implementation and reliability rather than academic or experimental modelling

Your Skills and Experience

• Strong commercial experience delivering production systems end to end
• Advanced problem solving skills with a strong grounding in mathematics and logic
• Proficient in Python and SQL within a production environment
• Experience integrating APIs and working with varied data sources
• Exposure to CI CD and modern engineering best practices
• Comfortable owning ambiguous, high impact projects with minimal handholding
• Experience automating legacy or manual processes

What They Offer

• Competitive salary between £60,000 and £100,000
• Strong overall benefits package
• Hybrid working model with office based onboarding and flexible working thereafter
• The opportunity to shape a critical system with real business impact and long term ownership

How to Apply

Apply below if this sounds like the perfect opportunity for you, or email me at

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STAFF DATA SCIENTIST, PRODUCT – EXPERIMENTATION & CAUSAL INFERENCE

$180K – $210K BASE

REMOTE – US (EST HOURS)

Are you excited about fixing broken experimentation culture and building a best-in-class testing and causal inference framework from the ground up?

Do you want to partner directly with product and executive leadership to shape how decisions are made across a fast-growing SaaS platform?

THE COMPANY

A high-growth, venture-backed B2B SaaS company powering mission-critical workflows for thousands of businesses globally.

• Strong product-market fit with a rapidly expanding customer base
• Backed by top-tier investors with a clear path toward IPO
• Leadership team deeply invested in data-driven decision making
• Increasing focus on experimentation, product analytics, and ML-driven insights

THE ROLE

As a Staff Data Scientist, you’ll act as the technical anchor for experimentation and causal inference, owning both the strategy and execution of how the company tests, learns, and makes product decisions.

• Rebuild and scale the company’s experimentation framework (A/B, Bayesian, causal methods)
• Own the experimentation roadmap and influence product and engineering leaders
• Design and evaluate experiments across web and in-app experiences
• Apply causal inference methods when randomized testing isn’t feasible
• Partner with Product, Engineering, and Leadership to drive data-informed decisions
• Train and mentor other data scientists on advanced statistical methods
• Evaluate and implement experimentation tooling and best practices

YOUR SKILLS AND EXPERIENCE

• 6+ years in data science or product analytics
• Experimentation (A/B testing, Bayesian methods, sequential testing, multi-arm bandits)
• Causal inference (DiD, propensity modeling, uplift modeling, etc.)
• Strong product intuition within a SaaS environment:
• Feature adoption, retention, churn, growth loops, user lifecycle
• Advanced proficiency in Python and SQL
• Comfortable in GitHub environments (PRs, code reviews, collaboration)

Nice to have:

• Experience selecting or implementing experimentation platforms
• Familiarity with modern AI tools (e.g., coding copilots, LLM-assisted workflows)

THE BENEFITS

• Competitive base salary ($180K – $210K)
• Fully remote (US, EST collaboration)
• High-visibility role with direct access to executive leadership
• Opportunity to define and scale experimentation culture company-wide
• Work on complex product problems with real business impact

Why This Role

You won’t just run experiments – you’ll define how experimentation works across the company.

This is a rare opportunity to step into a role where the foundation exists but needs to be rebuilt – giving you the chance to shape the roadmap, influence leadership, and elevate the entire organization’s approach to data-driven decision making.

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VP of Engineering – Payments

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 Software 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 digital payment applications across mobile and web.

• 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 owing B2C mobile and web products.

• Telemetry pipeline ownership a plus.
• Experience managing teams > 100.
• 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 | Direct-to-Consumer | B2C | Product | Production | Real Time | Vice President | Regulation | Python | Compliance | Regulatory | Startup Environment | Executive | Scale | Scaling | Artificial Intelligence | Mobile Apps | Web Apps

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Lead Product Manager
London, Hybrid (2 days per week)
Up to 110,000 plus bonus

This is an opportunity to shape the next generation of intelligent, personalised consumer experiences at scale. You will lead product strategy for cross‑journey systems that help millions of users make better financial decisions, working at the intersection of product, data, and decisioning.

The Company

They are a fast‑growing consumer fintech with a mission to help people build long‑term wealth through simple, intuitive digital products. Their platform supports over a million users and is expanding rapidly across savings, investing, and future‑planning offerings. As they evolve toward more intelligent and personalised experiences, they are building new systems that integrate guidance, decisioning, and behavioural insight across the entire customer journey.

The Role

* Define how personalisation and intelligence are applied across product journeys and systems.
* Lead cross‑journey and cross‑product strategy, focusing on end‑to‑end customer experience rather than isolated features.
* Identify where intelligence adds genuine customer value and guide teams away from unnecessary or hype‑driven solutions.
* Partner closely with Decisioning, Data, Engineering, and other Product Leads to shape platform‑wide systems.
* Bring structure and clarity to complex, ambiguous problem spaces.
* Influence stakeholders across functions as a senior individual contributor.

Your Skills and Experience

* Strong experience delivering consumer product experiences at scale.
* Proven capability in personalisation, recommendation systems, or behavioural guidance.
* Ability to think in systems and journeys rather than standalone features.
* Comfortable working with data, decisioning, and ML‑adjacent teams without being a technical specialist.
* Pragmatic understanding of where AI and intelligence can and cannot add value.
* Confident operating in a cross‑functional environment with multiple stakeholders.

What They Offer

* Salary up to 110,000 plus a 15 percent bonus.
* Hybrid working with two days per week in a central London office.
* High influence role shaping greenfield systems and future product direction.
* Impact-led culture focused on helping customers achieve long‑term financial goals.
* Strong career progression within an experienced, product‑led organisation.

How to Apply

If you are excited by the opportunity to shape intelligent consumer experiences at scale, please apply with your CV.

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