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AI Engineer
London (Hybrid – 3x a week)

The Company
They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large and complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged.

The Role

• Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production.
• Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks.
• Write high-quality Python code and contribute to cloud-native applications and services.
• Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability.
• Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions.
• Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment.

Your Skills & Experience

• Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI.
• Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks.
• Strong Python programming skills and understanding of modern backend architectures.
• Experience working with cloud platforms and production-grade AI systems.
• Knowledge of MLOps, CI/CD, containerisation and model monitoring.
• Experience building data pipelines for model training, fine-tuning and inference.
• Solid grounding in machine learning, statistics and model evaluation techniques.
• Strong communication skills with the ability to engage technical and non-technical stakeholders.
• Commitment to responsible and ethical AI development.

What They Offer

• Competitive salary and comprehensive benefits package.
• Hybrid working model.
• Exposure to large-scale AI and machine learning projects.
• Opportunity to shape the direction of a growing AI capability.
• Ongoing professional development and clear career progression.
• Collaborative environment working alongside experienced AI, data and engineering professionals.

How to Apply
If you’re an AI Engineer looking to build and deploy innovative AI solutions in a high-impact environment, please apply today to learn more about this opportunity.

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Senior Machine Learning Engineer

$140,000-$190,000

Overview
A growing healthcare-focused technology organisation is seeking a Senior Machine Learning Engineer to help expand and support enterprise AI and machine learning capabilities. This role combines machine learning engineering, MLOps, cloud infrastructure, and generative AI operations.
The ideal candidate has extensive experience deploying, monitoring, and scaling production machine learning systems and is comfortable supporting both traditional ML models and modern large language model (LLM) applications. This position is focused on operational excellence, reliability, scalability, and measurable business outcomes rather than research.
Key Responsibilities

• Machine Learning Engineering & Platform Development
• Design, build, and maintain production-grade machine learning systems.
• Deploy and support machine learning models in live environments.
• Develop scalable training and inference workflows.
• Improve system reliability, performance, and operational efficiency.
• Partner with data science teams to productionise models and analytics solutions.
• MLOps & Infrastructure
• Develop and maintain feature engineering pipelines.
• Build and enhance workflow orchestration solutions.
• Establish best practices for model deployment and lifecycle management.
• Implement monitoring, observability, and alerting frameworks.
• Support model governance and operational compliance requirements.
• Generative AI & LLM Operations
• Deploy and maintain applications powered by large language models.
• Monitor model performance, quality, and reliability.
• Optimise prompts, inference processes, and operational workflows.
• Support cloud-hosted foundation model services.
• Implement improvements that enhance model effectiveness and user experience.
• Business Impact
• Contribute to predictive and decision-support solutions within healthcare and life sciences domains.
• Support projects involving optimisation, forecasting, classification, and recommendation systems.
• Deliver scalable solutions that create measurable value for end users and stakeholders.

Required Qualifications

• Technical Skills
• Strong Python development experience.
• Advanced SQL proficiency.
• Hands-on experience with AWS cloud services.
• Experience with machine learning platforms such as SageMaker.
• Experience using cloud-based LLM and foundation model services.
• DBT experience.
• Workflow orchestration experience with Prefect or similar platforms such as Airflow.
• Experience
• Approximately 6+ years of Machine Learning Engineering experience.
• Proven experience deploying machine learning models into production.
• Experience supporting model training and inference workloads.
• Strong model monitoring and observability experience.
• Ownership of MLOps processes and production ML environments.
• Experience designing and maintaining feature engineering pipelines.
• Infrastructure-focused engineering mindset with strong software engineering practices.
• Healthcare industry experience is required, including familiarity with:
• Regulated environments.
• Compliance and security requirements.
• Model governance practices.
• Responsible AI considerations, including fairness and bias mitigation.
• Preferred Qualifications
• Experience building ML-powered products used by external customers.
• Experience supporting models after deployment in production environments.
• Exposure to both traditional machine learning and LLM-based applications.
• Strong communication and stakeholder management skills.
• Demonstrated ability to deliver measurable business results through machine learning solutions.

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Senior Data Scientist

Hybrid – Leicester (1x day a week)

£75,000 – £85,000 + bonus

Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You’ll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.

The Company

They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.

The Role

As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.

Responsibilities include:

• Building and deploying predictive machine learning models across a range of commercial use cases
• Developing analytical tools to improve risk portfolio management and decision-making
• Creating innovative features and data assets to enhance model performance
• Identifying and evaluating new data sources that can drive commercial value
• Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
• Partnering with stakeholders to define business problems and deliver effective solutions
• Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
• Contributing to the adoption of emerging machine learning techniques and best practices

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
• Expertise in Python and SQL
• Experience working with Azure Machine Learning and wider Azure cloud technologies
• Knowledge of version control tools such as Git
• Ability to translate complex business challenges into analytical solutions
• Strong stakeholder management and communication skills
• Experience working in cross-functional data and analytics environments
• Passion for innovation and applying new machine learning approaches to real-world challenges

What They Offer

• Competitive salary
• Annual bonus scheme
• Car allowance
• Private medical insurance
• Matched pension contributions
• Life assurance and income protection
• Hybrid and flexible working arrangements
• Generous annual leave allowance
• Health, wellbeing, and financial support benefits
• Ongoing learning, development, and career progression opportunities within a growing data science function

How to Apply

If you’re interested in this Senior Data Scientist opportunity, apply today to discuss how your experience aligns with the role.

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Staff AI Engineer

(Hands‑on, LLM Platforms, Technical Lead)

Location: New York
Working model: On‑site
Package: $250,000 + Equity + Bonus

The Opportunity

An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.

This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.

The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.

The Role

You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.

Responsibilities include:

• Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
• Owning end‑to‑end system architecture, performance, and scalability
• Developing AI tools to support research, monitoring, knowledge discovery, and decision support
• Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
• Reviewing code, setting engineering standards, and supporting the development of other engineers
• Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
• Assessing third‑party tooling and platforms where appropriate

This is a deeply hands‑on role with real ownership.

What We’re Looking For

Core requirements:

• Strong software engineering background (Python preferred)
• Proven experience building production AI systems, particularly modern LLM applications
• Solid understanding of:
  • Prompt design and iteration
  • Embedding pipelines and vector databases
  • RAG architectures and tool‑use patterns
  • Model evaluation and monitoring
• Experience deploying AI products used by non‑technical stakeholders
• Comfortable setting technical direction while remaining a builder

Nice to have:

• Exposure to complex analytical or commercial domains
• Experience working in small, senior engineering teams
• Background in cloud‑native environments

Why Join?

• Ownership of mission‑critical AI systems
• Direct visibility of impact, your work will be used day‑to‑day
• Modern AI stack with freedom to make technical decisions
• Long‑term scope to shape and grow the AI engineering function

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Head of Artificial Intelligence

$200,000-230,000 base + annual bonus

4 days/week in-office

Location: Greater Philadelphia (NJ side)

THE COMPANY

We are partnered with a global manufacturer and technology-driven business operating at the forefront of precision engineering, advanced manufacturing, and imaging solutions. With a strong international presence and continued investment in innovation, the organization is embarking on a significant AI transformation program designed to improve operational efficiency, unlock new revenue opportunities, and embed AI across core business functions.

This is a newly created leadership position offering the opportunity to define and deliver the company’s AI strategy while building a high-performing AI function from the ground up.

RESPONSIBILITIES

• Define and execute the enterprise-wide AI strategy, identifying high-impact opportunities across manufacturing, engineering, supply chain, sales, customer operations, and corporate functions.
• Build, lead, and develop a dedicated AI team, establishing best practices, governance frameworks, and delivery standards for AI and Agentic AI solutions.
• Partner with senior stakeholders and executive leadership to translate business challenges into scalable AI initiatives with measurable ROI.
• Lead the end-to-end delivery lifecycle of AI programs, from use case identification and proof of concept through to production deployment and ongoing optimization.
• Drive adoption of Generative AI and Agentic AI capabilities across the organization, acting as an internal AI advocate and educator.
• Collaborate with analytics, IT, cybersecurity, and external AI partners to develop the data, infrastructure, and operating models required to support enterprise AI initiatives.
• Design and deliver AI training and enablement programs to increase AI literacy and adoption across the business.
• Evaluate emerging technologies and industry trends, ensuring the organization remains at the forefront of AI innovation.

SKILLS AND EXPERIENCE

Required

• Proven experience leading and scaling AI, Machine Learning, Data Science, or Analytics teams.
• Strong understanding of Generative AI, Agentic AI, Large Language Models (LLMs), and their practical business applications.
• Demonstrated success deploying AI solutions at scale within industrial, engineering, manufacturing, or similarly complex environments.
• Ability to engage and influence senior executives while translating technical concepts into business outcomes.
• Experience driving organizational change and promoting adoption of new technologies.
• Strong stakeholder management, leadership, and communication skills.
• Experience managing technology investment budgets and demonstrating business value and ROI.

Desirable

• Experience with Snowflake and modern cloud-based AI ecosystems.
• Familiarity with Agentic AI development frameworks and platforms, including Claude-based tooling.
• Background within manufacturing, engineering, industrial technology, precision engineering, or related sectors.
• Master’s degree or PhD in Computer Science, Data Science, Engineering, or a related discipline.

WHY JOIN?

• Opportunity to shape and lead a company-wide AI strategy at a critical stage of growth and investment.
• Build a new AI capability with executive-level sponsorship and visibility.
• Work on high-impact use cases spanning automation, forecasting, customer experience, operational excellence, knowledge management, and advanced analytics.
• Collaborate with external AI specialists and senior business leaders to drive meaningful transformation.
• Significant scope for career growth and long-term strategic influence.

HOW TO APPLY

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

KEY TERMS

Head of AI | Artificial Intelligence Director | AI Leadership | Generative AI | Agentic AI | LLMs | Machine Learning | Data Science | Snowflake | Claude Code | AI Strategy | AI Governance | Manufacturing Technology | Industrial AI | Computer Vision | Predictive Analytics | AI Transformation | AI Operations | Executive Leadership | Advanced Analytics

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Senior Machine Learning Engineer

$140,000-$190,000

Overview
A growing healthcare-focused technology organisation is seeking a Senior Machine Learning Engineer to help expand and support enterprise AI and machine learning capabilities. This role combines machine learning engineering, MLOps, cloud infrastructure, and generative AI operations.
The ideal candidate has extensive experience deploying, monitoring, and scaling production machine learning systems and is comfortable supporting both traditional ML models and modern large language model (LLM) applications. This position is focused on operational excellence, reliability, scalability, and measurable business outcomes rather than research.
Key Responsibilities

• Machine Learning Engineering & Platform Development
• Design, build, and maintain production-grade machine learning systems.
• Deploy and support machine learning models in live environments.
• Develop scalable training and inference workflows.
• Improve system reliability, performance, and operational efficiency.
• Partner with data science teams to productionise models and analytics solutions.
• MLOps & Infrastructure
• Develop and maintain feature engineering pipelines.
• Build and enhance workflow orchestration solutions.
• Establish best practices for model deployment and lifecycle management.
• Implement monitoring, observability, and alerting frameworks.
• Support model governance and operational compliance requirements.
• Generative AI & LLM Operations
• Deploy and maintain applications powered by large language models.
• Monitor model performance, quality, and reliability.
• Optimise prompts, inference processes, and operational workflows.
• Support cloud-hosted foundation model services.
• Implement improvements that enhance model effectiveness and user experience.
• Business Impact
• Contribute to predictive and decision-support solutions within healthcare and life sciences domains.
• Support projects involving optimisation, forecasting, classification, and recommendation systems.
• Deliver scalable solutions that create measurable value for end users and stakeholders.

Required Qualifications

• Technical Skills
• Strong Python development experience.
• Advanced SQL proficiency.
• Hands-on experience with AWS cloud services.
• Experience with machine learning platforms such as SageMaker.
• Experience using cloud-based LLM and foundation model services.
• DBT experience.
• Workflow orchestration experience with Prefect or similar platforms such as Airflow.
• Experience
• Approximately 6+ years of Machine Learning Engineering experience.
• Proven experience deploying machine learning models into production.
• Experience supporting model training and inference workloads.
• Strong model monitoring and observability experience.
• Ownership of MLOps processes and production ML environments.
• Experience designing and maintaining feature engineering pipelines.
• Infrastructure-focused engineering mindset with strong software engineering practices.
• Healthcare industry experience is required, including familiarity with:
• Regulated environments.
• Compliance and security requirements.
• Model governance practices.
• Responsible AI considerations, including fairness and bias mitigation.
• Preferred Qualifications
• Experience building ML-powered products used by external customers.
• Experience supporting models after deployment in production environments.
• Exposure to both traditional machine learning and LLM-based applications.
• Strong communication and stakeholder management skills.
• Demonstrated ability to deliver measurable business results through machine learning solutions.

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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

To Apply for this Job Click Here

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Senior Data Scientist

Remote (US) | Up to $190,000 Base + Benefits

A rapidly growing healthcare technology company is hiring multiple Senior Data Scientists to help build and scale machine learning products that directly improve patient access to clinical research and healthcare innovation.

This is a highly visible opportunity for someone who wants to own machine learning models from development through deployment and monitoring while partnering closely with Product, Engineering, and business stakeholders. The team is investing heavily in data science as a core strategic function and is looking for individuals who enjoy solving complex real-world problems through predictive modeling and statistical rigor.

What You’ll Be Working On

• Building predictive models that influence healthcare decision-making
• Developing patient matching and recommendation systems
• Forecasting enrollment and engagement outcomes
• Designing and evaluating machine learning experiments
• Monitoring and improving production model performance
• Partnering with engineering teams to productionize solutions
• Influencing product strategy through data-driven insights

What We’re Looking For

• 5+ years of Data Science experience
• Strong Python and SQL skills
• Experience building and deploying predictive models
• Statistical modeling expertise
• Machine learning production experience
• Strong experimentation and analytical thinking skills
• Ability to communicate complex findings to non-technical stakeholders

Preferred Experience

• Healthcare, life sciences, pharma, insurance, or other regulated industries
• Forecasting, Bayesian methods, or advanced statistical modeling
• Experience monitoring and improving production models
• Startup or high-growth environment experience

Why This Role?

• Fully remote opportunity
• Up to $190,000 base salary
• Meaningful healthcare impact
• Strong leadership visibility
• Opportunity to influence product direction
• End-to-end ownership of machine learning initiatives
• Join a business that has proven product-market fit and is investing heavily in growth

If you’re a Data Scientist who enjoys building models that make it into production and drive measurable business outcomes, we’d love to hear from you.

Apply today or reach out directly for a confidential discussion.

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Principal Data Scientist

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

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

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

The Role

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

Your Skills and Experience

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

What They Offer

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

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Engineer, Agentic Systems
Remote (US) $150,000 to $220,000 + Bonus + Equity

This is an opportunity to join an AI-first technology company building sophisticated agentic systems that automate complex business workflows. You’ll play a key role in shaping both customer-facing AI capabilities and the internal engineering practices that enable teams to build faster, smarter, and more effectively.

The Company
They are an innovative software business leveraging advanced AI and autonomous systems to transform how organisations manage complex operational workflows. Their platform combines proprietary intelligence, enterprise data integration, and agent orchestration to deliver highly automated outcomes at scale. With a remote-first culture and a strong engineering focus, they offer an environment where technical expertise has a direct impact on product direction and business growth.

The Role
As a Senior AI Engineer, you will:

• Design and develop agentic workflows, autonomous systems, and AI-powered product features
• Build orchestration frameworks, tool integrations, and multi-step agent capabilities
• Create robust evaluation, monitoring, guardrail, and observability frameworks for production AI systems
• Collaborate with Product teams to translate complex business processes into reliable agent-driven solutions
• Integrate AI workflows with enterprise platforms, data systems, and third-party technologies
• Own the full software development lifecycle from design through deployment and optimisation
• Contribute to architecture decisions and technical strategy across the engineering function
• Champion the effective use of AI-assisted development tools and help establish engineering best practices
• Work closely with a high-performing team to deliver scalable, production-ready solutions

Your Skills & Experience

• Strong commercial software engineering experience with expertise across distributed systems, APIs, and scalable application development
• Proven experience building applications using LLMs, AI agents, orchestration frameworks, or autonomous workflows
• Experience designing and deploying production-grade AI systems with a focus on reliability and performance
• Knowledge of agent tooling, tool use frameworks, MCP, or similar integration approaches
• Ability to work across the full development lifecycle and take ownership of complex technical initiatives
• Strong communication skills and experience collaborating within remote or distributed teams
• Curiosity about emerging AI technologies and a passion for applying them to solve real-world challenges

Desirable experience includes:

• Exposure to marketing technology, advertising technology, media platforms, or customer data ecosystems
• Experience integrating with enterprise data platforms, cloud data warehouses, or third-party APIs
• Familiarity with LangChain or similar agent orchestration frameworks
• Experience evaluating or running local and self-hosted LLM environments

What They Offer

• Competitive base salary
• Equity participation
• Comprehensive benefits package
• Fully remote working across the US
• Access to collaborative office space for those who prefer a hybrid environment
• The opportunity to influence product strategy and engineering standards
• Exposure to cutting-edge AI and agentic system development
• Clear opportunities for professional growth within a rapidly evolving technology environment

How to Apply
If you’re excited by the future of agentic software engineering and want to build AI systems that have a tangible impact, apply today to learn more about this opportunity.

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Head of AI
Remote (East Coast & Midwest USA) | $250,000 – $325,000 base salary + equity
This is a rare opportunity to shape the AI strategy of a high-growth SaaS business at a pivotal stage of its journey. As Head of AI, you will take ownership of a market-leading document intelligence platform, lead a talented AI and machine learning team, and influence product direction at both technical and executive levels.
The Company
They are a rapidly growing, investor-backed software company transforming how complex financial and regulatory data is processed and managed. Their AI-powered platform automates the extraction, interpretation, and delivery of information from highly unstructured documents, helping clients replace manual workflows with scalable digital solutions.
With strong market traction and continued investment in AI innovation, they are expanding their machine learning capability to further strengthen their product offering and develop new intelligent solutions for their customers.
The Role
As Head of AI, you will combine technical leadership with strategic ownership, acting as a hands-on leader for a growing AI and machine learning function.
Responsibilities include:

• Define and execute the organisation’s AI and machine learning strategy
• Lead, mentor, and develop a team of Machine Learning Engineers, MLOps Engineers, and Data Engineers
• Improve and scale a document intelligence platform focused on extracting structured outputs from complex PDFs and financial documents
• Drive best practices across model development, deployment, monitoring, and evaluation
• Work closely with Product, Engineering, and executive stakeholders to align AI initiatives with business goals
• Evaluate and implement modern AI approaches, including LLMs, agentic AI frameworks, RAG systems, embeddings, and proprietary ML models where appropriate
• Establish robust processes that balance innovation, model accuracy, operational efficiency, and reliability
• Contribute technically through architectural decisions, model reviews, experimentation, and proof-of-concept development
• Help shape future AI products and act as a strategic advisor to senior leadership

Your Skills & Experience

• Strong commercial experience building and deploying machine learning products within a SaaS environment
• Deep expertise in NLP, document intelligence, and transforming unstructured or semi-structured documents into structured data
• Experience developing solutions involving OCR, document parsing, classification, entity extraction, layout understanding, and document-to-JSON transformation
• Strong Python skills and experience with modern machine learning frameworks such as PyTorch, Hugging Face, and scikit-learn
• Experience deploying production ML systems using cloud-native technologies, containerisation, and orchestration platforms
• Proven ability to lead technical teams while remaining hands-on when required
• Strong understanding of the complete machine learning lifecycle from data preparation through deployment and monitoring
• Experience communicating technical concepts to both technical and non-technical audiences
• Background in financial documents, compliance workflows, tax technology, or regulated environments would be advantageous

What They Offer

• Base salary of $250,000 – $325,000
• Meaningful equity package
• Fully remote working within approved East Coast and Midwest locations
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Significant autonomy and influence over AI strategy and technology decisions
• Opportunity to build and scale a high-performing AI team
• Clear progression into a key leadership role within a rapidly growing organisation

How to Apply
If you are an experienced AI leader with a passion for building production-grade machine learning systems and shaping the future of intelligent products, apply today to learn more about this opportunity.

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