data & ai RECRUITMENT in Tampa

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Senior Data Scientist – Personalization & Recommendation Engines

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

Salary: $180-200k base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Data 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

• 3+ 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

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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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Data Scientist / AI Engineer

Nottingham-based (2 days a week)

£60K

We are working with a AI start up who transform leading research into AI technologies, solving meaningful problems for clients in the retail and healthcare sectors.

What We Do

Retail: Promotions, pricing, and forecasting – building scalable AI systems to automate and optimise decision-making.

Healthcare: Research-driven AI projects with open problem spaces – early-stage innovation and experimentation.

We’ve built AI systems for retail clients and are now focusing on making these solutions repeatable and deployable across industries.

Essential Skills

• Strong programming skills in Python
• Solid understanding of SQL and data manipulation
• Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred)
• Experience building or deploying machine learning models
• Ability to work in a fast-paced, collaborative startup environment

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Senior Machine Learning Engineer

New York, New York

$190,000-210,000 base salary + bonus + benefits

Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.

THE ROLE

• You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
• You will report directly to senior leadership and work closely on technical direction
• Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
• You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business

YOUR SKILLS AND EXPERIENCE

The successful Senior Machine Learning Engineer will likely have the following skills and experience:

• 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
• Experience working in a fast-moving organization is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel NLP and LLM AI platforms with large datasets
• Cloud experience in AWS, Azure or GCP preferred
• History of working on models from concept to production / end-to-end / 0-1
• Experience in settings wearing multiple hats
• Domain experience in financial services, investment or private equity a plus
• History of partnering with non-technical stakeholders required
• Experience as a player/coach or manager for AI teams preferred
• PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture

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PRINCIPAL DATA SCIENTIST – GENERATIVE AI SYSTEMS

$200K-$235K BASE SALARY + BENEFITS

REMOTE ROLE – U.S. BASED

Are you looking to design and deploy next-generation Generative AI systems that power real products at scale?

THE COMPANY

This global learning technology leader is transforming how students and educators interact with digital content through advanced AI and data-driven innovation. They’re expanding their data science organization to accelerate AI strategy and build intelligent systems that improve both customer-facing experiences and internal operations.

THE ROLE

As a Principal Data Scientist, you’ll serve as a senior individual contributor driving end-to-end development of production-ready Generative AI systems. You’ll lead the architecture and implementation of Retrieval-Augmented Generation (RAG) and multi-agent frameworks, partnering closely with engineering to bring prototypes into production.

KEY RESPONSIBILITIES

• Designing, prototyping, and deploying scalable GenAI systems that generate and synthesize content.
• Architecting orchestration pipelines across varied data assets.
• Owning AI solution design and influencing technical direction across product teams.
• Collaborating with cross-functional partners to define strategy and ensure production excellence.
• Operating independently in a high-trust, innovation-driven environment.

YOUR SKILLS AND EXPERIENCE

• Proven experience building and deploying production-grade Generative AI systems (RAG, orchestration, or multi-agent)
• Strong hands-on Python development skills
• Experience with LangChain / LangGraph in production environments
• Cloud experience (AWS or Azure)
• PhD required, with 5+ years of post-PhD industry experience

THE BENEFITS

• $200K-$235K base salary (depending on experience and technical depth)
• Fully remote role within the U.S.
• Opportunity to define AI architecture and shape product strategy at an enterprise scale

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DATA SCIENTIST / SENIOR ANALYST

UP TO £80,000
HYBRID – 3X A WEEK IN LONDON

ABOUT THE BUSINESS

This is for a fast-growing company in the greentech sector, providing electric vehicle charging solutions that support the UK’s transition to sustainable transport. With a strong footprint across London and an exciting new contract expanding into other areas of the UK, this business is scaling rapidly to meet rising demand for accessible, reliable EV infrastructure. Backed by private equity, they combine the agility of a scale-up with the stability and resources to grow nationwide.

THE TEAM

You’ll be joining a small but growing Data team, reporting directly to the Head of Data. The foundations for data infrastructure have been carefully built over the past year, and now the focus is on turning data into actionable insight.

This is a collaborative environment where data is central to decision-making – the executive team are highly engaged and see analytics as critical to the company’s success. You’ll have the opportunity to take ownership of impactful projects and help shape the future of EV charging strategy across the UK.

THE ROLE

This is a hands-on analytical role focused on understanding customer behaviour, usage patterns, and network performance to drive smarter, data-led decisions. It’s ideal for someone who enjoys end-to-end analysis and translating complex data into clear business recommendations.

Key projects include:

• Analysing where to launch new charging points and assessing site performance
• Understanding user behaviour and segmentation – who’s charging, when, and how often
• Developing models to optimise pricing based on time of day and usage patterns
• Building dashboards and reports to monitor operational and commercial KPIs
• Supporting strategic planning as the business expands across the UK

SKILLS & EXPERIENCE REQUIRED

• Strong SQL and Python skills
• Experience with data visualisation tools (Power BI preferred, but flexible)
• Proven background in analytics or data science, ideally in a commercial or operational context
• Exposure to predictive modelling, segmentation, or pricing analytics
• Ability to work independently and communicate insights clearly to non-technical stakeholders

WHY APPLY?

• Play a central role in shaping analytics for one of the UK’s most exciting greentech scale-ups
• Hybrid working with modern offices near Monument, London
• High-impact projects directly influencing nationwide EV charging strategy
• Work with a data-driven leadership team that values innovation and insight

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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The Role

The client is a global financial services leader seeking a Lead AI Engineer to spearhead the design and deployment of agentic AI solutions that will be adopted across the entire company. This role blends hands-on engineering with strategic leadership in a highly skilled team to deliver AI systems that operate across complex cloud environments and impact business lines globally.

Key Responsibilities

• Build and deploy enterprise-grade AI/ML solutions (LLMs, agentic AI) in production
• Lead teams developing systems that handle millions of transactions securely and efficiently
• Architect solutions in the cloud with a focus on scalability, performance, and cost reduction
• Collaborate across business and engineering functions to ensure adoption and measurable impact
• Mentor and guide junior engineers and data scientists in best practices for enterprise AI deployment

Ideal Candidate:

• 8+ years of commercial experience with ML models
• Proven track record of deploying LLMs or advanced ML systems in enterprise production
• Strong background in large-scale consumer-facing applications or enterprise AI systems
• Blend of ML engineering + system design skills (not purely research or purely SWE)
• Experience with cloud-native AI deployments (AWS, GCP, or Azure)

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