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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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Senior Applied AI Engineer

Hybrid in Greater Boston

$240,000 – $260,000 base + equity

THE COMPANY

Our client is a high-growth AI and technology company focused on helping investors and business leaders unlock value through artificial intelligence. Operating at the intersection of AI, business transformation, and advanced analytics, the organization has developed a proprietary platform that creates a digital representation of how businesses operate, enabling data-driven decision-making and AI-powered operational improvements.

Backed by deep expertise from leading consulting, technology, and quantitative organizations, the company is building a world-class team dedicated to redefining how businesses are analyzed, transformed, and improved through AI.

RESPONSIBILITIES

• Define requirements, develop prototypes, and partner with engineers, analysts, researchers, and business stakeholders to deliver AI-powered product enhancements.
• Identify product gaps and workflow inefficiencies through close collaboration with internal users and subject matter experts.
• Design and build LLM-powered solutions that accelerate product development and improve operational outcomes.
• Develop evaluation frameworks and quality measurement capabilities for AI-driven features.
• Partner with software engineering teams to productionize new capabilities and drive adoption across user workflows.
• Lead technical design reviews, share best practices, and mentor engineers and analysts.
• Stay at the forefront of emerging AI models, agent frameworks, and development tooling.

SKILLS AND EXPERIENCE

Required

• 6-10 years of experience building data products, software platforms, or AI-driven solutions.
• Degree in a quantitative discipline preferred.
• Hands-on experience with LLMs, including prompt engineering, context management, agent development, and tool selection.
• Proven ability to define evaluation methodologies and quality standards for AI systems.
• Strong Python and SQL expertise.
• Experience translating ambiguous business requirements into scalable technical solutions.
• Strong commercial acumen and the ability to connect technical outputs to measurable business outcomes.
• Excellent communication skills with experience working across technical and non-technical audiences.
• Automation-first mindset with a track record of building reusable tools and workflows.
• Demonstrated success delivering outcomes in fast-paced, ambiguous environments.

Preferred

• Experience deploying AI and LLM solutions into production environments using cloud platforms such as GCP or equivalent.
• Familiarity with observability, tracing, and evaluation tooling for AI applications.
• Experience with agent-based development workflows and modern AI engineering toolchains.
• Experience with LangChain, LangGraph, or similar orchestration frameworks.
• Knowledge of LLM evaluation approaches, including LLM-as-judge methodologies.
• Financial literacy and the ability to understand operational and commercial performance metrics.
• Experience in solutions engineering, consulting, private equity, or other client-facing environments.
• Track record of building bespoke solutions and successfully scaling them into broader product offerings.

BENEFITS

• Competitive cash compensation of $240,000-$260,000.
• Flexible working arrangements, including fully remote opportunities.
• Opportunity to work on cutting-edge AI challenges with significant business impact.
• Exposure to senior business leaders, investors, and transformative AI initiatives.
• High-growth environment with substantial career development opportunities.

HOW TO APPLY

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

KEY TERMS

Senior Applied AI Engineer | Artificial Intelligence | LLMs | Machine Learning | Generative AI | Agentic AI | Python | SQL | LangChain | LangGraph | GCP | AI Evaluation | AI Product Development | Automation | Business Transformation | Data Platforms | Applied AI | Consulting | Private Equity | Remote | Hybrid Jobs

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Data Scientist
Join a growing Data Science team within an insurance business where you’ll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much as building models.

The Role
You will:

• Build, validate and deploy machine learning and statistical models
• Work with Python, SQL, Databricks and PySpark to analyse large datasets
• Solve pricing and risk-related business challenges
• Explore new data sources and test innovative ideas
• Own projects from problem definition through to implementation
• Present insights to technical and non-technical stakeholders
• Support and mentor junior Data Scientists

Your Skills & Experience

• Strong commercial Data Science experience
• Advanced Python and SQL skills
• Experience with Databricks and/or PySpark
• Knowledge of machine learning techniques such as XGBoost and LightGBM
• Strong statistical modelling capability
• Excellent problem-solving and stakeholder management skills
• Experience in insurance, financial services, or another regulated environment is advantageous

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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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