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Senior Data Engineer

Location: Austin, TX or Miami, FL (Hybrid 4 Days/Week Onsite)
Compensation: Up to $170,000 Base Salary

About the Role

We’re partnering with a rapidly growing financial services organization seeking a Senior Data Engineer to help build and scale a modern enterprise data platform.

This is a highly visible, hands-on role focused on developing data pipelines, data models, and cloud-based data infrastructure that power analytics and business decision-making across the organization.

Please note: Candidates must be located in or willing to relocate to Austin, TX or Miami, FL and work onsite 4 days per week. This requirement is non-negotiable.

Responsibilities

• Design and build scalable data pipelines and ingestion frameworks
• Develop and optimize data models for analytics and reporting
• Build and enhance cloud-based data platform capabilities within Azure
• Develop solutions using Python, SQL, and dbt
• Improve data quality, monitoring, reliability, and operational processes
• Partner with analytics, engineering, and business teams to deliver data solutions
• Own projects from design through deployment and support

Requirements

• 5+ years of Data Engineering experience
• Strong hands-on expertise with Python, SQL, and dbt
• Experience building and maintaining production data pipelines
• Azure cloud experience
• Strong understanding of data modeling and data architecture
• Ability to work independently and take ownership of complex initiatives
• Excellent communication and stakeholder management skills

Why Join?

• High-impact, high-visibility role
• Opportunity to shape a growing modern data platform
• Strong ownership and architectural influence
• Career growth within a rapidly expanding organization

Location Requirement: This position requires employees to be onsite 4 days per week in Austin, TX or Miami, FL. Candidates who are not local or unable to meet the onsite expectation will not be considered.

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Director, GTM

Remote (U.S.) | EST/CST Preferred
Up to $230,000 Base + $20,000 Bonus + Equity
U.S. Citizen or Green Card Holder Required

Shape the Future of Revenue Growth Through Data

We’re partnering with a high-growth technology organization seeking a Director of Revenue Analytics & Data Science to lead the strategy, execution, and evolution of its Go-To-Market data function.

This is an opportunity for a leader who enjoys sitting at the intersection of business strategy, advanced analytics, and people leadership. You’ll work directly with executives across Sales, Marketing, Customer Success, Finance, and Revenue Operations to help drive customer acquisition, retention, and overall revenue performance through data-driven decision making.

If you enjoy building high-performing teams, influencing company strategy, and leveraging analytics to solve complex business challenges, we’d love to connect.

What You’ll Own

Revenue & GTM Strategy

• Lead the vision and roadmap for analytics supporting the entire revenue organization.
• Partner with executive stakeholders to identify growth opportunities and improve business performance.
• Define and govern key business metrics including customer acquisition, retention, conversion, funnel performance, pipeline health, and customer lifetime value.
• Deliver actionable insights that directly influence strategic decisions and revenue outcomes.

Data Science & Advanced Analytics

• Guide the development and implementation of predictive models across lead scoring, customer lifetime value, marketing effectiveness, and sales prioritization.
• Champion experimentation and measurement frameworks to improve conversion rates, customer acquisition, and retention.
• Drive adoption of AI-powered tools and analytics capabilities across the organization.
• Establish analytical best practices and ensure high standards for statistical rigor and business impact.

Leadership & Team Development

• Lead and mentor a team of Data Scientists and Analytics professionals.
• Develop a culture centered around curiosity, accountability, and business partnership.
• Provide coaching on analytics strategy, data science methodologies, SQL, Python, and stakeholder engagement.
• Serve as a trusted advisor to senior leadership and cross-functional teams.

What We’re Looking For

Required Experience

• 7+ years of experience in Data Science, Revenue Analytics, Marketing Analytics, Business Analytics, or related disciplines.
• 3+ years of experience leading analytics or data science teams.
• Strong experience supporting Go-To-Market functions including Sales, Marketing, Customer Success, and Revenue Operations.
• Demonstrated success influencing business decisions through data and analytics.

Technical Skills

• Strong SQL expertise and experience working with Python-based analytics environments.
• Background in machine learning, predictive modeling, experimentation, and statistical analysis.
• Experience working with modern cloud data platforms such as Snowflake, Databricks, dbt, Airflow, or similar technologies.
• Understanding of SaaS business models, subscription metrics, and revenue operations.

Leadership Traits

• Strategic thinker with strong business acumen.
• Comfortable operating in fast-paced and evolving environments.
• Exceptional communication and stakeholder management skills.
• Ability to balance executive-level strategy with hands-on analytical leadership.

Why This Opportunity Stands Out

• Fully remote position within the U.S.
• Direct exposure to executive leadership and strategic decision making.
• Opportunity to own and shape enterprise-wide revenue analytics initiatives.
• Significant influence on company growth and GTM strategy.
• Competitive compensation package including equity participation.
• High-growth environment with strong leadership support and visibility.

Compensation: Up to $230,000 base salary + $20,000 annual bonus + equity
Location: 100% Remote within the United States
Schedule: Must work East Coast business hours
Work Authorization: U.S. Citizen or Green Card Holder required

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ML Engineer
New York City or Remote. $200,000 to $240,000 base plus equity and benefits.
This is a rare opportunity to join a very early stage AI startup and take full ownership of building a critical machine learning system from the ground up. You will design and deliver the core training and remediation loop that ensures AI systems behave safely and reliably in production, giving you genuine 0 to 1 engineering scope with immediate impact.
The Company
They are an early stage AI business focused on improving the safety and reliability of AI systems in production environments. Their platform continuously tests AI applications, detects unsafe or unintended behaviour, and deploys targeted fixes. Operating at the intersection of machine learning, security, and infrastructure, they are tackling a rapidly growing challenge as organisations scale their use of AI. With a small, highly technical team, they offer close collaboration with leadership and significant ownership from day one.
The Role

• Build and own end to end training and remediation pipelines for AI systems, from signal detection through to deployment and monitoring
• Develop reinforcement learning and preference optimisation workflows, including approaches such as DPO and RLHF
• Translate behavioural issues into structured training data and deploy effective model improvements
• Create scalable evaluation and testing systems to ensure fixes perform reliably in production
• Work across multiple models and deployments, turning one off fixes into reusable tooling
• Improve system performance, reliability, and efficiency as the product evolves

Your Skills & Experience

• Strong commercial experience in machine learning engineering, with deep expertise in Python and PyTorch
• Proven ability to train, fine tune, and deploy models in production environments
• Hands on experience with reinforcement learning or preference optimisation techniques such as DPO, RLHF, or PPO
• Strong understanding of end to end ML pipelines, from data preparation through to monitoring
• High standards for code quality, architecture, and readability
• Comfortable operating in an early stage environment with ambiguity and ownership
• Experience designing evaluation systems or working on AI safety, trust, or security is beneficial

What They Offer

• Base salary between $200,000 and $240,000, with flexibility for the right candidate
• Meaningful early stage equity package
• Comprehensive benefits including healthcare, retirement, and generous holiday allowance
• The opportunity to build a core platform from scratch and shape technical direction
• Close collaboration with founders and engineering leadership

How to Apply
To find out more or apply for this ML Engineer role, please get in touch with your updated CV.

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QA Automation Engineer

UP TO £75,000

London/Hybrid

The Overview

This is an opportunity to join a growing technology business where quality engineering is a key part of product development. You’ll play a central role in building scalable test automation, reducing manual testing, and helping shape an AI-enabled approach to software quality within a modern engineering environment.

The Company

They are a fast-growing technology business developing a sophisticated digital platform that helps users make more informed financial decisions. Their engineering teams work in cross-functional squads, combining product, engineering, and quality expertise to deliver high-impact solutions. With a strong focus on innovation, they are investing heavily in automation, AI-enabled workflows, and engineering best practices.

The Role

You will be responsible for driving test automation across web applications, APIs, and backend services while helping improve the overall quality engineering strategy.

Responsibilities include:

• Designing, building, and maintaining automated testing frameworks
• Creating automated tests for web applications and API services
• Supporting quality assurance across frontend and backend systems
• Performing regression, functional, and smoke testing
• Collaborating closely with Product Managers, Developers, and QA colleagues to ensure solutions are testable and scalable
• Using AI tools to improve testing efficiency, accelerate development cycles, and reduce repetitive manual work
• Contributing to CI/CD processes and quality gates within the software delivery lifecycle
• Supporting the development of a robust automation architecture that can scale with platform growth
• Helping improve data quality validation and testing processes

Your Skills & Experience

• Strong commercial experience with Java or Kotlin
• Experience building automated testing solutions from scratch or significantly enhancing existing frameworks
• Strong API testing experience using tools such as Rest Assured, Postman, or similar
• Experience testing JSON and XML payloads
• UI automation experience with Selenium, Playwright, or comparable tools
• Understanding of software testing principles, automation frameworks, and quality engineering best practices
• Experience working with Jira and Agile delivery environments
• Knowledge of CI/CD pipelines and automated deployment processes
• Comfortable working across both frontend and backend systems
• Experience using AI tools within an engineering workflow
• Exposure to Claude and N8N is highly desirable
• Familiarity with SQL and data validation techniques

What They Offer

• Competitive salary
• Potential equity review following successful completion of probation
• 25 days annual leave with the option to carry over up to 5 days
• Hybrid working
• Work-from-home equipment provided on request
• Enhanced parental leave policies
• Study support and dedicated time for learning
• Salary sacrifice pension scheme
• Electric car scheme
• Cycle to Work scheme
• Workplace nursery scheme
• Gym benefit
• Mental health and wellbeing support
• Regular seasonal and team social events
• Opportunity to influence automation strategy and AI-enabled quality engineering practices
• Clear scope for professional growth within a scaling technology business

How to Apply

If you’re passionate about automation, modern QA practices, and AI-driven engineering, I’d love to hear from you. Apply with your latest CV to be considered.

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QA Automation Engineer
London (Hybrid, 2 days per week) | £75,000 + Benefits

Looking for a QA role where automation and AI are at the heart of engineering? This is an opportunity to join a growing technology business building a sophisticated data platform, where you’ll help shape the future of quality engineering and create scalable automation from the ground up.

The Company

A fast-growing technology business developing a data-driven platform that helps users gain a clearer view of complex financial information. Working in Agile squads, they are investing heavily in automation, AI-assisted development, and modern engineering practices as they continue to scale.

The Role

You will be responsible for driving automated testing across a web platform and backend services, helping ensure quality, reliability, and performance while reducing manual testing.

• Key responsibilities include:
• Building and maintaining automated test frameworks
• Creating UI and API test coverage across frontend and backend systems
• Supporting regression testing for platform enhancements and integrations
• Ensuring data accuracy and quality across complex systems
• Leveraging AI tools to accelerate testing, debugging, and test creation
• Contributing to CI/CD processes and quality best practices
• Collaborating closely with product and engineering teams

Your Skills & Experience

• Strong commercial experience with Java or Kotlin
• Experience with API testing using tools such as Rest Assured or Postman
• UI automation experience using Selenium, Playwright, or similar
• Strong understanding of JSON, XML, APIs, and backend testing
• Experience building automation frameworks and strategies
• Familiarity with Jira and CI/CD environments
• Active use of AI tools within your engineering workflow, including Claude and N8N
• Passion for reducing manual effort through automation

What They Offer

• Salary up to £75,000
• Hybrid working with 2 days per week in the London office
• Private healthcare
• Pension contribution
• 25 days holiday
• Wellbeing support and regular team socials
• Opportunity to influence automation strategy and AI adoption
• Applicants must have full UK working rights. Sponsorship is not available.

How to Apply

To find out more about this QA Automation Engineer opportunity, apply today.

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Director of Data Science
New York (Hybrid) – $240,000 – $300,000 + Bonus + Benefits

This is an opportunity to shape the future of enterprise Data Science within a large-scale, data-rich organisation undergoing significant AI and analytics transformation. You will lead a high-performing team, influence strategic decision-making at the highest level, and drive the development of advanced machine learning and AI solutions that deliver measurable business impact.

The Company
They are a well-established organisation with a strong commitment to innovation, data-driven decision-making, and digital transformation. Operating at enterprise scale, they are investing heavily in AI, machine learning, and advanced analytics to improve outcomes across multiple business functions.
With a collaborative and technology-focused environment, they empower teams to solve complex challenges using modern data capabilities. They offer the opportunity to work on meaningful initiatives with visibility across senior leadership and key stakeholders.

The Role
As Director of Data Science, you will be responsible for defining and delivering the organisation’s data science strategy while leading a team of highly skilled practitioners.
Responsibilities include:
* Develop and execute the enterprise data science roadmap aligned to strategic business priorities.
* Lead teams delivering predictive modelling, machine learning, optimisation, forecasting, experimentation, and AI-driven solutions.
* Partner with Product, Engineering, Data, and business stakeholders to identify high-value opportunities and translate them into scalable solutions.
* Establish best practices for model development, validation, monitoring, governance, and lifecycle management.
* Drive adoption of modern machine learning and AI methodologies while ensuring appropriate risk management and responsible AI principles.
* Oversee experimentation frameworks, performance measurement, and model evaluation approaches.
* Act as a trusted advisor to senior stakeholders, helping shape strategy through data-driven insights.
* Build, mentor, and develop a high-performing Data Science team and culture.

Your Skills & Experience
* Strong commercial experience leading Data Science, Machine Learning, or Advanced Analytics functions.
* Deep expertise in statistical modelling, predictive analytics, machine learning, experimentation, optimisation, and decision science.
* Strong experience developing and scaling production-grade data science solutions.
* Advanced proficiency with Python, SQL, and modern machine learning tools and frameworks.
* Experience working closely with engineering and product teams to operationalise analytical solutions.
* Strong stakeholder management skills with the ability to communicate complex concepts to technical and non-technical audiences.
* Experience building team capability, coaching talent, and driving delivery within a fast-paced environment.
* Understanding of AI governance, model monitoring, and responsible AI frameworks.

What They Offer
* Salary of $240,000 – $300,000 depending on experience.
* Performance-related bonus.
* Comprehensive healthcare and benefits package.
* Hybrid working environment.
* Opportunity to lead enterprise-scale AI and Data Science initiatives.
* Significant visibility with senior leadership and executive stakeholders.
* Clear scope for long-term career progression and organisational impact.

How to Apply
If you are an experienced Data Science leader looking to drive large-scale AI and analytics transformation, please apply today to learn more about this opportunity.

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ML Engineering Manager
REMOTE | up to $235,000 + Benefits | 4 Days Per Week

If you’re a hands-on/people Manager ML leader who enjoys solving complex problems, guiding high-performing teams, and shaping the future of machine learning products, this is a rare opportunity to make a significant impact in a flexible 4-day-per-week role. You’ll combine technical leadership with people management, helping drive experimentation, innovation, and measurable business outcomes within a highly collaborative AI environment.

The Company
They are a technology-driven organisation that leverages advanced machine learning and data science to solve complex business challenges at scale. Their teams operate at the intersection of research, engineering, and commercial impact, with a strong culture of experimentation and continuous improvement. Decision-making is evidence-led, and employees are empowered to explore new ideas, challenge assumptions, and contribute to long-term innovation. The business offers an environment where technical experts can influence strategy while remaining close to the work.

The Role
As an ML Engineering Manager, you will lead a team focused on developing and improving production machine learning solutions while fostering a culture of learning, innovation, and technical excellence.
Responsibilities include:

• Leading, mentoring, and developing a team of machine learning engineers.
• Supporting career development, performance growth, and team engagement.
• Creating an environment where experimentation, learning, and knowledge sharing are encouraged.
• Partnering with technical leaders to prioritise and resource high-impact initiatives.
• Managing a portfolio of machine learning experiments, balancing short-term delivery with longer-term innovation.
• Applying rigorous evaluation standards to ensure model performance translates successfully into production environments.
• Working closely with stakeholders to define priorities, measure success, and communicate outcomes.
• Collaborating with engineering and infrastructure teams to support scalable ML systems and tooling.
• Representing team achievements and technical direction to senior leadership and wider business stakeholders.

Your Skills & Experience

• Strong commercial experience in machine learning, data science, or ML-focused software engineering.
• Proven people leadership experience, including coaching, mentoring, and developing technical teams.
• Deep expertise in either machine learning engineering or applied statistics, with strong working knowledge of both disciplines.
• Ability to lead teams through ambiguity and make informed decisions using data and evidence.
• Experience building, evaluating, and deploying machine learning models in production environments.
• Excellent communication skills with the ability to translate technical concepts into business impact.
• Comfortable working autonomously and influencing stakeholders across multiple teams.
• Strong focus on quality, reproducibility, and operational excellence.

What They Offer

• Competitive salary and comprehensive benefits package.
• Flexible 4-day-per-week working arrangement.
• Hybrid working model.
• Opportunity to lead high-impact machine learning initiatives at scale.
• Exposure to complex technical challenges and cutting-edge AI projects.
• Clear progression opportunities within a growing data and AI function.
• Collaborative culture that values innovation, experimentation, and continuous learning.

How to Apply
Apply today to discuss this ML Engineering Manager opportunity and learn more about joining a forward-thinking data and AI team in a flexible 4-day-per-week position.

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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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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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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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