ORLANDO data & ai RECRUITMENT

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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

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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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Founding Data Scientist
Location: Onsite – New York City, NY
Salary: $130,000

THE COMPANY

This fast-growing InsurTech start-up is using data science and machine learning to uncover fraud in property and casualty insurance claims.

THE ROLE

As a Data Scientist, you will be at the forefront of building models and pipelines that directly stop fraudulent activity. You’ll work with complex datasets, apply advanced analytics, and partner with product and engineering teams to deliver solutions that have a real-world impact.

You will:

• Build and optimize machine learning models to detect fraudulent behavior
• Develop and maintain identity resolution and entity linking systems
• Engineer features from large, messy datasets to improve accuracy
• Work closely with engineers to deploy and monitor models in production
• Communicate insights to both technical and non-technical stakeholders
• Contribute to team culture and mentor junior team members

YOUR SKILLS & EXPERIENCE

To be successful in this role you will need:

• 2-4+ years’ experience in data science or applied machine learning
• Proficiency in Python and core data science libraries (pandas, scikit-learn, etc.)
• Experience working with real-world, unstructured datasets
• Strong understanding of statistical modeling, validation, and performance tuning
• Background in fraud detection, identity resolution, or large-scale data analysis
• Excellent communication skills and ability to work with stakeholders across the business
• Must be able to work onsite in NYC

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Senior Machine Learning Engineer
Dublin
€90,000-€150,000

This is a great opportunity to work for an all-in-one AI-first customer service platform – they’re heavily investing in their Machine Learning team so it’s a great time to join.

THE ROLE

As a Senior Machine Learning Engineer for the business you will:

• Working with the Machine Learning Scientists to deploy their models into production and
• Maintain models in production, testing them and making sure they run properly
• Run production ML infrastructure

SKILLS AND EXPERIENCE

• PhD / Master’s Degree in Computer Science, Maths, Engineering or AI etc
• Strong commercial experience as a Machine Learning Engineer/MLOps Engineer
• Understanding of Software Engineering principles
• Good communication skills
• Tech: Python, SQL, AWS

SALARY AND BENEFITS

• Basic salary €90,000-€150,000
• Dublin-based with hybrid working, x2 days per week in the office
• Up to 8% bonus depending on level and peformance
• Benefits package
• Relocation package

HOW TO APPLY

Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page

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Senior Machine Learning/Research Engineer

London (Old Street / Moorgate)

Up to £140,000 + bonus

About the Role

We are working with a leading quantitative technology firm that’s working at the cross roads of machine learning research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment.

This role is all about taking cutting-edge ML research projects and moving them into production – building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment.

Key Responsibilities

• Collaborate with ML scientists to ingest and process large-scale, high-frequency market data.
• Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment.
• Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading.
• Take ownership of end-to-end solutions, from research to execution.

What We’re Looking For

• 5+ years’ experience in high-level engineering roles.
• Proven track record building ML research pipelines in complex technical environments.
• Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure).
• Strong mathematical or statistical background.
• Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance.
• Independent, self-driven engineers who can own delivery without hand-holding.

Interview Process

1. Intro with hiring manager and recruiter.
2. Take-home technical test.
3. Technical interview discussing your solution.
4. Onsite with their Amsterdam team.

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Lead Data Scientist – ML Focused

Hybrid- UK

Up to £90,000 + Benefits

About the Role

We’re hiring a Lead Data Scientist to join a fast-growing, specialist data consultancy delivering high-impact solutions across sectors such as energy, public sector, manufacturing, and health. You’ll play a key role in solving complex challenges using cutting-edge ML or GenAI approaches, working end-to-end across projects in a client-facing capacity. This is a leadership position, ideal for someone who thrives in a consultancy environment and wants to deliver real-world impact.

Key Responsibilities

• Design and deliver data science solutions end-to-end, from discovery through deployment.
• Lead project teams, mentor junior colleagues, and manage delivery standards across multiple workstreams.
• Communicate complex findings clearly to senior stakeholders and clients.
• Support business development through proposal writing and pre-sales work.

We’re looking for someone with:

• Proven experience delivering data science projects in a consultancy setting.
• Strong Python skills with experience in ML or GenAI (e.g. LLMs, prompt engineering, optimisation).
• Excellent communication and stakeholder management abilities.
• A track record of managing teams and shaping development roadmaps.
• experience with cloud environments (AWS, Azure, GCP), and familiarity with MLOps lifecycle or solution architecture.

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Senior AI Software Engineer
London
£90,000-£130,000

I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.

Role Responsibilities

As a Senior AI Applied Engineer, you will:

• Build & Deploy AI-Driven Software Solutions
  You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
• Own Project-Based Work Across Diverse Domains
  You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
• Ensure Scalable and Reliable Deployment
  Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
• Act as a Strong Team Contributor and Communicator
  While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
• Leverage Generative AI Expertise
  Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.

Who We’re Looking For

Essential Qualifications & Experience

• Strong software engineering background with deep experience deploying scalable systems
• At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
• Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
• Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
• Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team of 5 for this role

Ready to Apply?

If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.

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AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

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AI Engineer – LLMs for Document Intelligence | Remote (UK) | Up to £70,000

We’re supporting a UK-based SaaS company in hiring an AI Engineer to join their Innovation team. This role is focused on delivering real business impact through Generative AI, particularly in the area of document intelligence.

The opportunity

• Build and deploy LLM-based systems to automate document extraction, reasoning and validation
• Work on high-impact use cases, such as ESG and sustainability compliance
• Join a small, collaborative team that values clean code, fast iteration and practical AI solutions

What you’ll do

• Design and implement LLM-powered workflows for document understanding, including RAG and agent-based systems
• Develop robust, well-structured Python libraries and production-ready services
• Build quick prototypes (Streamlit, Dash) and scalable services (FastAPI, Kubernetes)
• Contribute to engineering best practices across CI/CD, testing, and monitoring

What we’re looking for

• Previous experience with document extraction using LLMs
• Expert-level Python skills, with a strong grounding in software engineering fundamentals
• Clear communicator, comfortable working with both technical and non-technical stakeholders

What’s on offer

• Up to £70,000 base salary
• Remote-first working culture (UK only)
• Company offsites across Europe
• Private medical insurance, life assurance and pension
• 25 days holiday plus bank holidays, with the option to buy more
• Wellness and professional development budgets

2 stage interview process.

This role cannot sponsor and ideally candidates will have 1 month or less notice period, aiming for a September/early October start.

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Associate Director – Lead Omni-Channel Data Scientist

US (Remote)

Up to $200,000 + 20% Bonus

Overview:

We’re partnering with a global, market-leading pharmaceutical company that’s investing heavily in data, analytics, and AI to transform how they engage customers. Following record-breaking revenue and profitability growth, they are building a world-class analytics function across the US and Canada.

This newly created Associate Director level role – Lead, Omnichannel Analytics and Data Science – will be instrumental in bringing marketing mix modelling in-house, developing advanced recommendation systems, and leading the Next Best Action initiative for a major therapeutic brand.

What You’ll Do:

• Lead the design, development, and delivery of advanced omnichannel analytics strategies.
• Bring Marketing Mix Modelling (MMM) in-house, building models in Python.
• Create Next Best Engagement models to personalise marketing activities.
• Partner with senior marketing and commercial stakeholders to turn data into action.
• Provide strategic insights and KPIs for measuring omnichannel effectiveness.

What We’re Looking For:

• Strong experience with Marketing Mix Modelling and advanced statistical modelling.
• Proficiency in SQL and Python.
• Strong statistical (STEM) academic background
• Extensive eperience working with digital marketing / media data.
• Strong communicator, comfortable influencing senior stakeholders.
• Pharma experience is a nice-to-have

Location:

Remote within the US (Central Time Zone working hours preferred).

Compensation & Benefits:

• Base: Up to $200,000 + benefits
• 23% target bonus
• 6% matched 401K
• Full medical, dental, vision, and generous PTO

Interested? Apply now or contact us directly for a confidential discussion.

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Title: Staff Machine Learning Engineer

Location: Hybrid – Redwood City, CA – 3x per week

Responsibilities:

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

Qualifications:

• 7+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

Summary:

Join a dynamic team that’s transforming how customers discover and engage with products. You’ll work with state-of-the-art ML technologies while seeing direct impact on user experience and business metrics. The role offers significant technical ownership and the chance to shape the future of personalization technology.

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