data & ai RECRUITMENT in Tampa

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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 Marketing Data Scientist

Location: Miami, FL (Preferred) | Salt Lake City, UT | Plano, TX

Work Arrangement: Hybrid

Compensation: Competitive base + bonus, dependent on experience

The Opportunity

We’re partnering with a highly profitable, founder-led fintech company looking for a Senior Marketing Data Scientist to help scale its marketing analytics capabilities and drive smarter customer acquisition decisions.

This is an opportunity to go beyond traditional marketing reporting, connecting paid media performance to customer acquisition, funded deals, credit performance, and profitability. You’ll work with marketing and financial datasets, influence marketing investment decisions, and partner closely with leadership in a fast-growing, entrepreneurial environment.

What You’ll Do

• Analyze paid acquisition performance across channels, particularly Google Ads and Meta, to optimize marketing spend and ROI.
• Own full-funnel analytics, connecting campaign performance and lead generation to funded customers, acquisition quality, and downstream business outcomes.
• Develop and enhance marketing attribution, measurement frameworks, and customer acquisition models.
• Design and evaluate A/B tests and experiments to measure marketing effectiveness and identify growth opportunities.
• Leverage SQL, Python, and statistical techniques to uncover insights, build scalable reporting, and support commercial decision-making.
• Partner with marketing, credit, product, and analytics stakeholders to translate data into actionable recommendations.

What We’re Looking For

• 4-7+ years in Marketing Analytics, Marketing Data Science, Growth Analytics, or Performance Analytics.
• Strong SQL and hands-on Python experience.
• Deep understanding of paid media analytics, particularly Google Ads and Meta.
• Experience with customer acquisition funnels, conversion analysis, attribution, and experimentation.
• Strong analytical and statistical skills with the ability to communicate findings to business stakeholders.
• Bachelor’s degree in a quantitative discipline.

Nice to Have:

• Experience with Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or incrementality testing.
• Background in fintech, lending, insurance, or subscription-based businesses.
• Exposure to customer profitability, credit analytics, GA4, or modern cloud data platforms.

Why Join?

• Join a profitable, founder-led fintech investing in its growing data and analytics function.
• Work across marketing, financial, and customer datasets rather than traditional siloed marketing analytics.
• Influence strategic growth decisions with direct exposure to senior leadership.
• Enjoy a collaborative, entrepreneurial culture with significant ownership and opportunities for impact.

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Senior Credit Risk Analyst – Cashflow Data Scientist

Miami (Hybrid)

Circa $140,000 + Bonus

I’m partnered with a profitable fintech lender that has built one of the most extensive SMB cash flow datasets in its market.

They’ve invested heavily in connected-account data and now sit on millions of bank transactions across funded merchants, declined applicants and broader prospect populations. The challenge? They’re only scratching the surface of what’s possible.

They’re looking for a Senior Analyst or Data Scientist to become the internal expert for transactional/open banking data and drive projects spanning credit risk, marketing and pricing:

• Marketing and Pre-Approved Offers
• Credit underwriting enhancement
• Pricing optimisation
• Portfolio monitoring & early warning systems
• Growth analytics
• Proactive renewals and Credit Line Increase
• AI-enabled analytical workflows

This isn’t a reporting role. You’ll partner directly with senior leadership to answer questions such as:

• Which merchants should we be approving or approving faster?
• Which portfolio segments are deteriorating before losses emerge?
• Where are we mispriced?
• What signals can drive growth that competitors are missing?

What we’re looking for:

✅ 2+ years working with Plaid, open banking or transactional banking data

✅ Strong SQL and Python

✅ Experience building features from transaction-level data

✅ Analytics experience within lending, fintech, credit, risk or adjacent sectors

✅ Ability to translate analysis into commercial decisions

Nice to have:

• Small business lending
• Machine Learning
• Portfolio monitoring
• Credit analytics
• AI/LLM tooling experience

The hiring manager is specifically interested in people who have used transactional data creatively, not just for risk, but also for growth, sales enablement and customer intelligence.

If you’ve worked with Plaid, Yodlee, DecisionLogic, MX, Finicity or similar datasets and enjoy turning messy financial behaviour into actionable business decisions, I’d be keen to speak.

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Applied AI Engineer, Product and Delivery | Hybrid Portland, ME or Remote (East Coast / Chicago) | $225,000 to $275,000 plus equity

Most AI job ads ask for an engineer who can tolerate the business. This one is the reverse.

We are hiring someone whose core strength is problem solving and commercial judgement, and who has started building with AI rather than just talking about it. If you are the person on your team who takes a vague question from an operator, works out what actually needs answering, and has recently been prototyping your own tooling with LLMs, read on.

The Company

A newly independent company, spun out of the value creation team of a private equity firm. Its proprietary platform builds a digital twin of an organisation, simulating its people, processes and systems to produce an actionable roadmap for AI-driven value creation. The founding team comes from quantitative finance, top-tier strategy consulting and leading analytics and technology firms. The work is evidence-based, auditable and used by investors and management teams to make real decisions about real businesses.

This is a founding-stage team. You will shape what gets built.

The Role

You sit between the consultants and analysts doing client work and the engineers building the product. Your job is to close the gap between them.

• Sit with consultants and data analysts, watch the work, and find where it is slow, manual or error-prone
• Take an ambiguous business problem and sharpen it into a requirement someone can build against
• Design and build LLM-powered prototypes to test whether an idea is worth pursuing
• Define what a good output looks like and build the checks that prove it
• Partner with software engineers to productionise what works, and drive adoption into the delivery workflow
• Lead design reviews and mentor the analysts and engineers building alongside you
• Track new models, frameworks and agentic tooling, and form a view on what is worth adopting

What We Are Looking For

The non-negotiables:

• Problem solving. You scope ruthlessly. You know the difference between the analysis that is complete and the analysis that is sufficient, and you ship the second one
• Business acumen. You understand how an operational change shows up in the numbers. P&L, EBITDA, labour cost. You can connect a technical output to a client’s investment thesis
• Operator exposure. You have worked directly with the people running a business, not adjacent to them. Your work changed what someone did on Monday
• Quality instinct. You check your own work by reflex. You can tell us about a time you caught something before it went out, and what you changed afterwards
• Strong SQL and the ability to build, not just specify

Big plus:

• Applied AI experience, at any depth. Internal tools, automated workflows, agent prototypes, LLM-assisted analysis. What matters is that you have built something real and learned where it falls over
• Python
• Fluency with agentic development tooling such as Claude Code, subagents and custom skills
• LangChain, LangGraph or similar orchestration frameworks
• Experience with LLM-as-judge evaluation patterns
• Consulting, private equity or another deadline-driven client-service background
• Forward-deployed or solutions work where you built something for one customer and then generalised it into product

You do not need a background as a machine learning engineer. Data analysts, analytics leads, business operations people, consultants and value creation professionals who have started building with AI are exactly who we want to hear from.

What Is On Offer

• Cash compensation of $225,000 to $275,000
• Equity in a newly independent business at the point of spin-out
• Hybrid in Portland, ME preferred, with fully remote considered for candidates on the East Coast or in Chicago
• Direct influence over the product and the technical direction, on a team small enough that your judgement carries

How to Apply

Apply through this advert or get in touch for a confidential conversation.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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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.

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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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Machine Learning Engineering Manager
USA Remote $200,000 – $230,000 base + bonus + equity

A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of 4 and own end-to-end ML pipelines, working on models that directly drive commercial outcomes at scale, as well as contribute to ML research within the AI Lab.

The Company

They are a fast-growing technology business operating in the e-commerce and payments space, processing large volumes of real-time transactions. Machine learning sits at the core of their product, with strong investment in infrastructure and experimentation. Teams own services end to end, enabling engineers to drive meaningful technical impact.

The Role

* Build and deploy production-grade ML models for real-time systems
* Design scalable ML pipelines and infrastructure for high-throughput environments
* Develop offline experimentation and evaluation frameworks
* Improve model performance through statistical methods and feature engineering
* Work with distributed systems and large-scale data processing
* Partner with cross-functional teams to deliver ML solutions aligned to business needs
* Own the full lifecycle from experimentation to production and monitoring

Your Skills & Experience

* Strong commercial experience in Machine Learning Engineering
* Expertise in Python, SQL, and distributed frameworks such as Spark
* Deep understanding of model evaluation, experimentation, and statistics
* Experience building scalable ML systems from first principles
* Team leadership experience

What They Offer

* $200,000 – $240,000 base salary + bonus + equity
* Fully remote working in the US
* Unlimited paid time off and flexible working
* Comprehensive health and financial benefits, including 401k
* Learning budget and clear ownership of high-impact systems

How to Apply

Apply now to explore this Machine Learning Engineering opportunity.

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Principal Software Engineer

Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity

A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.

The Company

They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.

The Role

This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.

You will:

• Lead the architecture, development, and scaling of a cloud-native AI platform
• Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
• Drive engineering best practices, software quality, and code review standards
• Build and deploy production-grade AI and LLM-powered applications
• Own technical decision-making across application architecture, infrastructure, and platform scalability
• Partner closely with product and business stakeholders to deliver commercially valuable solutions
• Play a key role in shaping the future engineering organisation as headcount grows

Your Skills & Experience

• Strong commercial experience building software applications in Python
• Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
• Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
• Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
• Strong understanding of multi-model AI environments and working with leading foundation model providers
• Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
• Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
• Experience working within startup, or other lean engineering environments
• Interest in AI adoption, automation, analytics, or operational transformation projects

What They Offer

• Up to $300,000 total cash compensation including bonus
• High levels of ownership and technical influence
• Opportunity to shape engineering culture, processes, and platform architecture
• Greenfield environment with modern technologies and no legacy estate
• Clear career progression as the engineering organisation scales

How to Apply

If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.

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