data & ai RECRUITMENT in Tampa

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Data Scientist

£60,000-£70,000

Fully Remote in The UK

THE COMPANY

If you’re tired of tweaking models that never make it to production; read on! A tight-knit, PhD-led team is building next-gen pricing and forecasting models that actually go live; think hotels, flights, and real-time demand shifts. This is real, applied data science: you’ll be developing and owning models end-to-end, not just passing a notebook to someone else!

THE ROLE

In the role you will:

• Develop ML models for price optimisation and demand forecasting
• Work with Bayesian stats, time series analysis, Monte Carlo, RL
• Directly influence pricing decisions in a real commercial setting
• Integrate external and internal data streams to reflect live market dynamics

YOUR SKILLS AND EXPERIENCE

• PhD Background
• Strong Python

THE BENEFITS

• £60,000-£70,000 (DOE)

HOW TO APPLY

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Staff Machine Learning Engineer – Pricing

We’re looking for a senior-level Machine Learning Engineer to lead the development of advanced pricing optimisation systems that directly impact millions of global users. This is a high-visibility role, supporting strategic business goals and backed by executive sponsorship. The ideal candidate will combine deep technical expertise in machine learning and optimisation with strong product intuition and the ability to deliver production-ready solutions in a dynamic, collaborative environment.

This role focuses on building intelligent pricing and promotion solutions that maximise business value while maintaining a seamless customer experience. You’ll be part of a multidisciplinary team driving key business outcomes through data science, software engineering, and applied machine learning.

Key Responsibilities

• Lead the design and implementation of ML models for pricing elasticity, cannibalisation analysis, and multi-period promotional planning.

• Develop and deploy time-series forecasting models to estimate product demand across markets and product categories.

• Build optimisation workflows (e.g., with OR-Tools) to balance growth objectives with business constraints.

• Enhance clustering algorithms for product grouping and similarity detection, improving pricing strategies.

• Own the full ML lifecycle-from feature engineering and model training to validation, deployment, and performance monitoring.

• Apply a wide range of machine learning and deep learning techniques (e.g., classification, regression, time series, uplift modeling).

• Partner with product managers, analysts, and other engineering teams to translate business problems into scalable ML solutions.

• Collaborate with systems engineering teams to support the seamless integration of ML models into production environments.

• Mentor junior engineers and contribute to the overall technical vision and ML/AI strategy.

• Play a key role in shaping product and technology roadmaps through thought leadership and technical expertise

Please note the role will require travel to Dublin 1-2 times a month, which will not be expensed

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Lead Machine Learning Engineer

This role is a senior-level position in data science, centered on applying machine learning to solve complex problems, drive project execution, and mentor team members. The successful candidate will lead and actively contribute to initiatives that leverage advanced analytics to deliver tangible, real-world outcomes.

Responsibilities

• Communicate data-driven insights and strategic recommendations to clients and internal stakeholders in a clear, actionable manner.
• Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization.
• Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes.
• Provide mentorship and guidance to junior data scientists and analysts, supporting their technical growth and professional development.
• Contribute to business development activities by supporting proposal creation and demonstrating the value of data science capabilities to potential clients.
• Partner with data engineering teams to ensure seamless integration of analytics solutions within client environments.
• Collaborate with leadership to shape the roadmap for data science initiatives and ensure alignment with strategic objectives.

Required Experience

• Demonstrated experience in developing and evaluating machine learning and AI solutions within commercial or client-facing environments.
• Proficiency in Python or R, with hands-on application of supervised and unsupervised learning methods, as well as more advanced modeling techniques.
• Strong ability to distill complex technical findings into language that resonates with business audiences.
• Proven leadership in managing project teams and navigating challenges posed by large, unstructured, or messy datasets.
• Experience in consulting, proposal development, and strategic project planning.

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Senior Data Scientist – Credit Risk Modelling
£60-85,000 (dependent on experience)
London

THE COMPANY

This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Work across a range of credit models within the business, predominantly scorecards and broader decisioning models
• Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business
• Own the deployment and implementation of predictive models across the product suite
• Working closely with the Credit and Product teams to enhance performance and profitability across the business by collaborating on strategies and model enhancements

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience developing predictive models within a Credit Risk setting
• SQL and Python experience is essential
• Essential to have experience using Machine Learning techniques to develop non-linear models
• Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech

SALARY AND BENEFITS

• Base salary from £60-85,000 depending on experience
• Share options
• Company pension scheme
• Private medical care

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Lead Data Scientist – Personalization & Recommendation Engines

Location: SF Bay Area – Hybrid (3 days/week onsite)

Salary: $200-260k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.

What You’ll Do

• Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
• Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
• Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
• Experiment with emerging AI techniques, including GenAI, Computer Vision, and LLMs, to push the boundaries of what’s possible on the platform.
• Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.

What You Bring

• 7-10 years of experience building, deploying, and maintaining ML models at scale.
• Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
• Proven track record in consumer tech or large-scale marketplaces companies.
• Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
• Background in user behavior modeling, search relevance, or real-time data systems.
• Strong foundation in experimentation (A/B testing), statistics, and applied ML.
• Exceptional communication skills and the ability to translate technical insights into business value.
• Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Data Scientist

London

Hybrid (1 day per week in office)

Up to £85,000

Company:

I’m hiring for a fast-growing InsurTech that’s reshaping how insurance pricing is done. They’ve attracted major investment and are building out a best-in-class pricing and data science team to support their rapid growth. As a Senior Pricing Data Scientist, you’ll play a key role in designing and deploying advanced pricing models that directly impact revenue and profitability

The Role:

• Build and deploy pricing models using statistical and machine learning techniques
• Analyse large datasets to understand risk and performance across products
• Develop pricing strategies that support customer growth and profitability
• Work closely with engineering and product teams to integrate models into live systems
• Modelling market insurance premiums on/for aggregators
• Present pricing insights and strategy recommendations to senior stakeholders

Experience Required:

• Experience in insurance pricing (motor, home, travel, or similar)
• Strong Python and SQL skills
• Experience building pricing models (GLMs essential, ML models a plus)
• Experience modelling insurance premiums
• Strong communication skills, comfortable working with senior stakeholders
• Degree in a STEM subject

Benefits:

Up to £85,000 base salary

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Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer – Recommendation & Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: $600,000 – $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that’s reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you’ll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You’ll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

• Smart bidding and budget pacing algorithms
• Real-time recommendation engines
• Lookalike modeling and customer targeting
• CTR/CVR modeling and conversion optimization

Responsibilities:

• Architect and deploy end-to-end ML solutions at scale
• Develop robust data pipelines, feature stores, and orchestration frameworks
• Build high-performance, production-grade ML models (batch & real-time)
• Lead experimentation (offline & online), including A/B testing and model tuning
• Drive engineering excellence with well-tested, maintainable, scalable code
• Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

• PhD or Master’s degree in Machine Learning, Computer Science, or a related field
• 10+ years of hands-on experience building production ML systems at scale
• Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
• Deep knowledge of at least two of the following:
• Bayesian methods
• Recommender systems
• Multi-task or meta-learning
• CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

• Significant equity in a high-growth tech company
• Premium, fully covered health insurance (you + family)
• 401(k) with 4% dollar-for-dollar match
• Catered lunches and daily snacks
• Global travel opportunities
• Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

To Apply for this Job Click Here

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Principal Machine Learning Engineer – Recommendation / Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $1,500,000

(Base salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

• Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
• Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
• Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
• Explore and prototype state-of-the-art models, conducting both offline and online experiments.
• Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

• PhD or Master’s in Machine Learning or a related field
• 10+ years of industry experience building end-to-end production ML systems
• Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
• Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
• Bonus: Familiarity with architectures such as Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide

BENEFITS

• Equity in a high-growth business
• Premium, fully covered health insurance for you and your family
• 401(k) with 4% dollar-for-dollar match
• Catered lunch and snacks daily
• Global travel opportunities
• Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

To Apply for this Job Click Here