DATA & ai RECRUITMENT in Charlotte NC

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Staff Machine Learning Scientist

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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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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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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Staff Machine Learning Engineer

SF Bay Area: Hybrid (3 days onsite/wk)

$270,000 – $325,000 Base + Equity

A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Staff Machine Learning Engineer. Their marketplace connects buyers and sellers through personalized, trustworthy, and engaging experiences. With a strong engineering culture and a focus on applied AI, their team is building next-gen features to shape how users discover, connect, and transact.

Role

We’re looking for a Staff MLE to take technical leadership of a core AI initiative. This is a high-impact, hands-on role where you’ll architect and deploy large-scale ML systems, drive end-to-end model productionization, and influence engineering culture across squads. You’ll partner closely with data scientists and product teams to deliver real-time, intelligent features that delight users and scale globally.

Responsibilities

• Lead architecture and system design for large-scale ML systems (batch & real-time)
• Deploy experimentation-ready models into production with DS partners
• Build robust MLOps pipelines for serving, monitoring, and optimizing models
• Develop real-time inference systems, including vector database integrations
• Mentor junior engineers and foster a high-performance technical culture
• Tackle challenging problems in personalization, fraud prevention, search, and GenAI tools

Requirements

• Strong software engineering foundation with Python and backend/data systems
• Proven experience deploying ML models in production at scale
• Expertise in product recommendation and personalization
• Experience with distributed systems, performance tuning, and cost optimization
• Proficiency with PyTorch or TensorFlow, Airflow, Spark, Databricks, MLFlow
• Experience with real-time and batch pipelines, feature stores, and scalable inference
• Marketplace, e-commerce, or large-scale content platform experience
• Familiarity with GenAI/LLM ops, real-time personalization, or fraud detection

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AI Engineer / ML Engineer – CRYPTO – REMOTE

We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML.

They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform’s functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology’s evolution and solidifying the company’s status as a leader in blockchain analytics.

You will need:

• Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability.
• Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience.
• Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges.
• Mentor junior engineers and foster best practices in AI/ML development within the team.
• Collaborate with cross-functional teams to ensure AI/ML projects align with business goals and customer requirements.

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Senior Machine Learning Engineer

Phoenix, Arizona

4 days in office, 1 day work from home

$125,000 – $160,000 + bonus

About the Company

This Series A startup is building cutting-edge AI solutions tailored for the energy industry. Their flagship platform is a generative AI system trained on extensive energy-specific data and engineered to automate critical processes in various facilities. Whether deployed on-premise or in the cloud, their technology enhances safety, efficiency, and compliance by integrating seamlessly into the highly regulated and data-intensive world of the energy sector operations.

The company is tight-knit, mission-driven, and moving fast to modernize one of the world’s most vital industries through deep learning and domain-specific intelligence.

About the Role

This company is hiring a Senior Machine Learning Engineer to join a small, high-impact ML team and help build a novel, forecasting engine for equipment performance. This isn’t your typical production ML role – it’s ideal for candidates who enjoy academic-style research, building custom architectures from scratch, and solving hard problems that haven’t been solved before.

You’ll help design and build ML models that integrate logs, sensor data, and system interactions to help clients explain system behaviors in real time.

Role Responsibilities

• Design and build custom neural network architectures from scratch
• Develop a multimodal language model for forecasting equipment behavior using logs and performance signals
• Conduct in-depth literature reviews, define research strategies, and lead early-stage experiments
• Collaborate closely with software engineers, analysts, and domain experts to integrate your work into real-world tools used by clients
• Write clean, production-ready code for systems that support mission-critical infrastructure

Key Skill Requirements

• 4+ years of Machine Learning and/or LLM experience
• Deep knowledge of LLMs and multimodal modeling, especially models that work across text, time series, or image data
• Proficiency in PyTorch (or TensorFlow), with experience in building custom neural net architectures
• Fluency in Python with strong foundations in model development, training, and validation
• Cloud experience with AWS, Azure, or GCP
• Bonus: Docker, Linux, DevOps exposure

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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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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.

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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.

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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.

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