CHICAGO DATA AND AI EXECUTIVE RECRUITMENT
Harnham Data and AI Recruitment is a leading executive search firm covering the Chicago area, specializing in helping businesses find the right candidates for their data-driven roles.
As one of the premier executive recruiters covering Chicago, we take pride in our ability to connect our clients with top-tier talent across the different sectors in the Data and AI business landscape.
Our team of experienced recruitment consultants leverages an extensive network and deep market knowledge to guide clients through every step of the recruiting process. This ensures we find qualified candidates who align with each client’s business goals. With offices in multiple countries and a track record of exceptional service, we’ve worked with a wide range of clients to fill the most critical roles with the perfect candidates.
We have a strong track record of successful placements and have worked with some of the most well-known companies in the world. One of the reasons we’ve been so successful is due to the fact that we provide insights and research on the data industry, so our clients have the most up-to-date information on the data industry. Discover more by getting in touch with our Chicago executive recruitment experts today.
DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Like the Data & AI professionals we place, Harnham’s recruitment process is built on tried-and-tested models.
By gaining valuable insights across a range of industries, we provide bespoke search services that cater to our clients’ unique needs.
Our recruitment strategies have driven growth in sectors such as Financial Services, Real Estate, and technology, including cutting-edge fields like quantum computing. We always have a wide range of vacancies at both junior and senior level including Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands. Whether it’s C-suite roles or mid-level leadership positions, we consistently deliver exceptional candidates. Our Chicago team specializes in placing data experts in roles like Data Scientist, Data Analyst, and Big Data Engineer. Let us help you find the ideal candidate profile to meet your organizational goals. Get in contact with us!


WHAT SETS US APART FROM OTHER CHICAGO DATA EXECUTIVE RECRUITMENT AGENCIES?
What sets Harnham's Data and AI Recruitment apart from other Data and AI Recruitment agencies in Chicago, is our extensive experience in the Data industry as we've been in it for so many years.
Our Chicago Data Executive Recruitment team are well informed. They don’t just procure top executive talent; they also provide insights into industry trends, ensuring our clients remain ahead of the curve. From leadership roles to advisory positions, our Chicago data recruitment team is equipped to tackle the most challenging staffing needs. Offering insider knowledge, and a wealth of experience. Which continues to make Harnham stand out in the competitive Chicago-area market thanks to our expertise and tailored approach to executive recruiting.
We work with client organizations to develop comprehensive recruitment strategies, offering tools like salary benchmarks, diversity guides which can help diversity initiatives, and Leadership Assessments to streamline the hiring process. By focusing on aligning talent with business objectives, we’ve become trusted executive search partners for companies across a broad range of industries. For exceptional executive recruitment services in Chicago, contact Harnham today. Let us connect you with the right candidates to drive your business forward.
JOBS
LATEST Chicago
DATA JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.

Senior Data Scientist / Machine Learning Engineer
London
£140000 - £160000
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Senior Data Scientist / ML Engineer
£600-800/day | Outside IR35 | Hybrid (Central London, 2 days/week)
We’re working with a specialist consultancy delivering high-impact machine learning solutions to private equity-backed businesses. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.
You will be joining a small, collaborative team of engineers and data scientists on-site 2 days per week in Central London.
The work focuses on traditional ML use cases, such as:
-
Optimisation modelling to improve manufacturing throughput
-
Predictive modelling to anticipate and reduce asset downtime
-
Customer churn prediction and mitigation
-
Next-best-action modelling for sales agents
-
Geospatial modelling to inform store and asset placement decisions
Must-Have Requirements:
-
3-5+ years’ experience applying classical ML in commercial settings
-
Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn)
-
Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.)
-
Comfortable working across the full ML lifecycle
-
Previous exposure to ambiguous or evolving problem spaces, ideally within consulting or client-facing environments
- Experience with AWS / Azure and SageMaker
-
Clear and confident communicator, able to contribute to client conversations and work collaboratively with delivery teams
-
Degree from a top university in a quantitative discipline (Master’s preferred)
-
Based in London and able to attend the client site 2 x per week.
Nice-to-Haves:
-
Experience with geospatial modelling, time series forecasting, or operational optimisation
-
DBT
Interviews are taking place this week. Start ASAP.
Please email
To Apply for this Job Click Here

AI Engineer/ Machine Learning Engineer
London
£400 - £650
+ Computer Vision
ContractLondon
To Apply for this Job Click Here
Project Focus:
- Objective: Predict the success of marketing content (images, videos, and text) before campaigns go live using multi-modal AI models.
- Method:
- Apply customer research (survey/NLP data) alongside computer vision and text models.
- Build models that can take a new creative (image, video, or ad copy) and predict its expected performance.
- Reduce reliance on traditional lengthy A/B testing by using pre-testing AI models.
- Provide detailed post-campaign insights, including content attributes that worked (or didn’t) for different audience segments (e.g., high spenders).
- Backtesting:
- AI models should be able to simulate performance against historical data to validate predictions.
- Models should also score new content (ads/videos/copy) before it is launched.
Key Technical Requirements:
1. Multi-Modal AI Expertise
- Ability to work with images, video, and text data simultaneously.
- Experience building or applying multi-modal models (e.g., combining visual and textual inputs).
2. Experience with Open-Source Models
- Ideally familiar with OpenAI CLIP or similar vision-language models.
- Should know how to adapt and apply open-source AI models to real-world data (not just academic familiarity).
3. Computer Vision and NLP Skills
- Computer vision: Practical knowledge – but not traditional CV (e.g., object detection) – focus is on newer multimodal models.
- NLP: Able to process and leverage customer research data (e.g., surveys, text responses).
4. Programming and Statistical Foundation
- Strong coding skills – must be a programmer at heart, not just a “tool user.”
- Solid background in statistics and mathematics to build reliable, explainable models.
- Should understand model evaluation, backtesting, and simulation of campaign performance.
5. Content Performance Modeling
- Build models that:
- Predict creative success for new ads, videos, and text.
- Backtest models using historical data.
- Score and provide insights into what aspects of content perform best.
To Apply for this Job Click Here

Senior Staff/Technical Lead Machine Learning Engineer
New York
$300000 - $350000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Staff Machine Learning Engineer
Remote
Up to $350,000 + Equity
Company:
A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.
The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.
Role:
- Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
- Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
- Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
- Lead experimentation and model evaluation in a fast-paced, data-rich environment.
- Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
- Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.
Requirements:
- MSc or PhD in a STEM field.
- Proven experience building and deploying machine learning systems in a commercial setting.
- Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
- Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
- DevOps knowledge including CI/CD best practices and production model monitoring.
- Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
- Strong collaboration and communication skills, with a product-oriented mindset.
- A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.
Salary and Benefits:
- $300,000 – $350,000 base salary
- Meaningful Equity & Financial Upside
- Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)
How to Apply:
Please register your interest by submitting your CV via the Apply link on this page.
Desired Skills and Experience:
Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS
To Apply for this Job Click Here

Machine Learning Engineer
Phoenix
$120000 - $160000
+ Data Science & AI
PermanentPhoenix, Arizona
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Phoenix, AZ (Hybrid – 4 days onsite, Wednesdays WFH)
Compensation: $120K-$165K base + 10% bonus + equity (0.05-0.15%, negotiable)
Start Date: Targeting offer by end of April; ideal start mid-May
Work Authorization: U.S. Citizen or Green Card holder required
About the Company
Our client is an AI company based in Phoenix, AZ, developing advanced generative AI solutions tailored to the nuclear power industry. Their flagship platform leverages large language models (LLMs) trained on nuclear-specific datasets to automate and optimize complex engineering processes. Their technology is designed with compliance, safety, and adaptability in mind-serving both cloud and on-premise environments.
About the Role
The company is hiring two Senior Machine Learning Engineers to build a novel, research-driven forecasting engine for nuclear equipment performance. The role leans heavily into research and is ideal for candidates with academic or self-directed ML research experience. You’ll work on custom neural net architectures-not just off-the-shelf models-and collaborate with a small, high-impact team.
Key Responsibilities:
-
Design and develop custom neural networks and LLMs
-
Build a multimodal model integrating logs, signals, and performance data
-
Conduct research, literature reviews, and early-stage ML experiments
-
Clean datasets and contribute to both research and early production code
-
Collaborate with engineers, analysts, and domain experts
Ideal Candidate Will Have:
-
3+ years working directly with LLMs in a tech/startup environment
-
5+ years total ML experience (if shifted to LLMs more recently)
-
Strong understanding of time series data, diagnostics, and forecasting
-
Deep experience with PyTorch and neural architecture design
-
Exposure to multimodal modeling (text, audio, images, signals, etc.)
-
Strong academic or independent ML research background (papers, projects, or publications)
Tech Stack:
-
Must-Have: Python, PyTorch (or TensorFlow), Cloud (AWS, Azure, or GCP)
-
Nice-to-Have: Docker, Linux, DevOps exposure
Perks & Benefits:
-
Blue Cross Blue Shield Healthcare
-
Unlimited PTO + 11 paid holidays
-
Catered lunch on Fridays
-
Equity options negotiable for standout candidates
To Apply for this Job Click Here

Machine Learning Engineer
Leeds
£100000 - £130000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
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.
To Apply for this Job Click Here

Senior Machine Learning Engineer
New York
$200000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
SENIOR MACHINE LEARNING ENGINEER
REMOTE (OR HYBRID IN NYC IF PREFERRED)
$200K BASE + EQUITY + PERFORMANCE BONUS
THE COMPANY
My client is a high-growth startup transforming digital advertising-replacing black-box tools with transparent, customizable AI systems. Their platform gives brands full control of their data while using LLMs to unlock deep insights, automate decisions, and optimize campaigns across multiple platforms in real time. Backed by major partners and expanding globally, they’re scaling a lean tech team with a mandate to move quickly and build things that actually work.
THE ROLE
This is a senior-level hire focused on developing, optimizing, and deploying machine learning solutions-especially around LLMs and foundational models. You’ll work with large-scale systems, refine embedding pipelines, and help cut model runtime significantly. Expect real ownership, zero corporate fluff, and the chance to work on AI that’s actually applied to business-critical problems.
WITHIN YOUR FIRST 90 DAYS, YOU’LL:
-
Work on demographic & behavioral data (e.g., product recommendations)
-
Use LLMs to build predictive models
-
Optimize neural network performance
-
Help consolidate and streamline embedding workflows
-
Build scalable pipelines for production
-
Reduce model runtime in a measurable way
THE STACK
AWS | Databricks | Snowflake | Hugging Face | GraphQL/REST/gRPC APIs | Python (object-oriented, production-ready code)
ABOUT YOU
-
5+ years of industry experience, ideally with a Master’s or PhD in CS, Stats, or a related field
-
Comfortable with large-scale systems and deploying ML models into production
-
Strong experience working with LLMs and foundational models
-
Skilled in model monitoring, testing, and evaluation
-
Experience mentoring junior engineers is a bonus
-
Advertising experience is helpful but not essential
-
You care about writing clean, maintainable code and thrive in collaborative environments
WHY JOIN?
-
$200k base + equity + performance bonus
-
Unlimited PTO
-
Remote-first with ~5 hours EST overlap (hybrid NYC optional)
-
High-growth startup with a collaborative, low-ego culture
-
Real impact on product, roadmap, and scaling
-
No corporate red tape-just smart people building good tech
-
Support for continued education and upskilling
-
Two off-sites per year to connect in person
To Apply for this Job Click Here

Senior Machine Learning Engineer
Leeds
£75000 - £85000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Machine Learning Engineer – Remote
We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.
Responsibilities:
- Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
- ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
- Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
- Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
- Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
- Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
- Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.
To Apply for this Job Click Here

Senior Machine Learning Engineer
New York City
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
$200,000-$220,000
New York Metro Area – Hybrid
We are collaborating with a fast-moving start up focused on developing AI-powered solutions for cloud optimization and automation. Their technology enhances cost forecasting, financial modelling, and multicloud infrastructure management. As they scale, they are looking for top talent to drive innovation and build AI systems that make an impact.
THE ROLE
Seeking a Senior Machine Learning Engineer to play a key role in developing and deploying AI solutions. This is a hands-on, senior-level position for someone with experience building ML-powered products from the ground up. The ideal candidate will work closely with leadership to shape an AI assistant, optimize cloud resources, and implement cutting-edge machine learning techniques.
RESPONSIBILITIES
- Design, build, and deploy machine learning models for cloud automation and optimization
- Work with large language models (LLMs), fine-tuning and integrating them into the platform
- Develop AI-driven, customer-facing solutions to enhance automation and efficiency
- Ensure secure and compliant AI deployments, implementing best practices for AI infrastructure
- Maintain and optimize ML infrastructure across AWS, GCP, and Azure
- Experiment with advanced ML techniques, including model security, evaluation frameworks, and continuous monitoring
- Collaborate with engineering, product, and leadership teams to align AI development with business objectives
- Provide strategic input on AI capabilities and contribute to the company’s overall AI roadmap
YOUR BACKGROUND
- 6+ years of experience
- Strong Python programming skills; experience with Go or SQL is a plus
- Expertise in ML frameworks such as PyTorch, Hugging Face, LangChain, and Llama
- Experience deploying ML models at scale in cloud environments
- Proficiency with Terraform and Git for infrastructure management and version control
- Deep understanding of AI security risks and best practices for secure deployment
- Ability to work in a fast-paced startup environment and take projects from 0 to 1
- Strong analytical background with the ability to interpret complex cost and financial modeling data
- Excellent communication skills, capable of clearly conveying methodologies, solutions, and results to technical and non-technical stakeholders
HOW TO APPLY
If you believe you are a good fit given the above qualifications, send your resume to Grace via the link below.
KEYWORDS
Machine Learning, AI, LLMs, Cloud Optimization, AWS, GCP, Azure, AI Security, ML Infrastructure, AI Chatbots, Terraform, PyTorch, Hugging Face, LangChain, Financial Modeling, Cloud Automation, Startup, Tech Hiring, Data Science, Model Deployment, AI Strategy
To Apply for this Job Click Here

Lead Machine Learning Engineer
New York
$220000 - $260000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Machine Learning Engineer
$220,000 – $260,000 (Base + Bonus)
Remote (NYC preferred, hybrid available)
About the Company
Imagine a future where AI doesn’t just assist in marketing-it drives it. That’s what we’re building.
Our client is leading the transformation of AI-powered marketing, helping global brands optimize ad spend, automate decision-making, and scale effortlessly. Backed by a world-class ML and Data Science team, we’re evolving beyond a traditional agency into a full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and predictive analytics.
If you want to work on AI that makes a measurable impact-think billions in ad spend optimized in real time-this is where you want to be.
The Role
We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. You’ll be working with LLMs, Diffusion Models, and advanced predictive analytics to optimize ad performance, automate campaigns, and solve complex problems in marketing AI.
This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions-fast.
What You’ll Do
- Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.
- Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.
- Collaborate cross-functionally to integrate AI-driven automation into marketing systems.
- Work in a high-impact, fast-moving environment where your models go live and deliver real results.
- Solve complex challenges at the intersection of AI, advertising, and automation.
What You Bring
- Proven experience in ML/Data Science-no strict degree requirements, just real-world expertise.
- Strong experience with Python, TensorFlow, PyTorch, and model deployment.
- Background in LLM fine-tuning, diffusion models, and predictive analytics.
- Experience shipping ML products at scale-bonus points if you’ve done it at a FAANG or top AI-driven company.
- Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.
The Perks
- Unlimited vacation
- Monthly telephone stipend
- Comprehensive medical, dental, and vision insurance
- 401(k) with matching
- Hybrid work option (NYC preferred)
- Professional development stipend
- Seamless meal allowance
How to Apply
Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page.
To Apply for this Job Click Here

Senior Machine Learning Engineer
New York
$220000 - $240000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Machine Learning Engineer – AdTech
REMOTE
$220,000 – $240,000 + Bonus + Comprehensive Benefits
THE OPPORTUNITY
Join a cutting-edge, rapidly growing advertising technology company that’s on the forefront of transforming the digital marketing landscape. This company has developed an innovative product leveraging AI to deliver real-time, revenue-generating customer insights. As they scale, they’re looking for an exceptional Machine Learning Engineer to drive the next wave of groundbreaking projects, solve complex challenges, and lead impactful initiatives within the adtech space. If you’re passionate about the intersection of machine learning and advertising, this is your chance to make a real difference.
WHAT YOU’LL DO
- Own End-to-End ML Projects: Develop and deploy advanced machine learning models that optimize and enhance real-time bidding and auction engines. Take full ownership of the lifecycle of these projects, from inception to deployment.
- Discover Industry Trends: Drive initiatives to uncover valuable trends, patterns, and opportunities within the advertising industry that will directly influence product development.
- Strategic Impact: Play a key role in shaping the company’s ML strategy and contribute to high-level decision-making.
- Cross-Functional Collaboration: Work closely with engineering, product, marketing, and advertising teams to align on objectives and deliver innovative solutions.
- Mentor and Lead: Guide junior team members, provide mentorship, and foster a culture of learning and collaboration within the team. Be the go-to expert for technical leadership and business alignment.
- Be a Thought Leader: Serve as the subject matter expert in machine learning within the business and present insights to stakeholders to drive business outcomes.
WHAT YOU BRING TO THE TABLE
- Advanced Degree: MS or PhD in Computer Science, Statistics, Mathematics, or related STEM fields.
- Extensive Experience: 5-7 years of hands-on commercial experience in machine learning, with a track record of owning and leading projects end-to-end.
- AdTech/MarTech Expertise: Experience within the advertising or marketing technology sectors is a big plus.
- Proven Leadership: A history of leading impactful machine learning projects that directly contributed to revenue growth and operational success.
- Advanced Technical Skills: Expertise in Python (including statistical packages), TensorFlow, PyTorch, or Keras. Experience with real-time bidding (RTB) and auction engines is highly valued.
- Consumer Data Expertise: Ability to work with and understand customer/consumer data to drive insights and model improvements.
- Collaborative and Autonomous: Comfortable taking initiative in autonomous settings while also thriving in collaborative, cross-functional teams.
- Innovative Thinker: Proven ability to bring fresh, outside-the-box thinking to complex problems, especially in fast-paced and evolving environments.
WHAT YOU’LL GET IN RETURN
- Competitive Compensation: Attractive base salary ($220,000 – $240,000), bonus potential, and a robust benefits package.
- Impactful Work: Be part of a company that’s reshaping the AdTech landscape with cutting-edge AI technology.
- Remote Flexibility: Work from anywhere while collaborating with top-tier professionals.
- Growth & Learning: Opportunity to take on leadership roles, mentor others, and expand your skill set within a rapidly scaling company.
- Comprehensive Benefits: Enjoy a generous package that includes health benefits, paid time off, and more.
READY TO JOIN A WINNING TEAM?
If you’re ready to lead in the machine learning space and make an immediate impact in the advertising world, we want to hear from you! Click Apply to submit your CV and take the next step in your career.
KEY TERMS:
Data Science | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real-Time Bidding | Auction Engines | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engines | Personalization | Innovation | Thought Leadership | Remote
To Apply for this Job Click Here

Senior Machine Learning Engineer
New York
$210000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
SENIOR MACHINE LEARNING ENGINEER
AdTech
$210,000 – $250,000 (Base + Bonus)
Long Island City, New York (hybrid preferred, 4 days a week)
ABOUT THE COMPANY
My client is transforming AI-powered marketing, helping major brands optimize ad spend and automate their marketing strategies. With a dedicated Data Science and ML team, they’re evolving from a traditional agency into a fully AI-driven platform-bringing together AI, analytics, and marketing under one roof. The mission? Automate campaign creation, optimization, and decision-making to help brands scale effortlessly.
THE ROLE
As a Senior Machine Learning Engineer, you’ll work with LLMs, Diffusion Models, and predictive analytics to enhance ad performance and automation. You’ll tackle complex ML challenges, collaborate across teams, and deploy cutting-edge AI solutions at scale.
WHAT YOU’LL DO
- Build and fine-tune ML models to optimize ad performance
- Develop and apply LLMs, Diffusion Models, and predictive analytics
- Work cross-functionally to deploy AI-driven marketing solutions
- Manage multiple models in a fast-moving, high-impact environment
- Deploy models at scale for major brands
WHAT WE’RE LOOKING FOR
- ~5 years of experience in Machine Learning / Data Science (no strict degree requirements)
- Strong skills in Python, TensorFlow, PyTorch
- Experience in model deployment, fine-tuning, and cross-team collaboration
- Background in AI-first companies, fintech, or major tech (Google, Meta, etc.) is a plus
- NYC-based candidates preferred (4 days/week in office)
PERKS & BENEFITS
- Unlimited PTO
- Monthly cellular communication stipend
- Comprehensive health benefits (medical, dental, vision)
- 401(k) with matching
- Hybrid work flexibility
- Professional development support
- Seamless meal allowance
HOW TO APPLY
If you’re interested, send your resume to Jack Wolf via the Apply link on this page.
To Apply for this Job Click Here

Lead Machine Learning Engineer
New York
$200000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
THE COMPANY
My client is a fast-growing private equity firm with a portfolio of billion-dollar companies. They are hiring a Lead Machine Learning Engineer to drive AI and machine learning initiatives, building advanced models that support both internal operations and client strategies. This role offers the opportunity to take ownership of key AI projects while mentoring junior team members.
THE ROLE
As a Lead ML Engineer, you will:
- Develop and deploy machine learning and NLP/LLM models for business transformation.
- Work closely with internal teams and clients to implement AI-driven solutions.
- Lead AI initiatives across investment risk, compliance, and automation.
- Guide and mentor junior engineers while collaborating with senior stakeholders.
- Help design AI strategies that enhance business performance and uncover new opportunities.
YOUR SKILLS & EXPERIENCE
The ideal candidate will have:
- 6+ years of experience in AI/ML development.
- A degree in a quantitative or STEM field.
- Strong ability to communicate technical concepts to non-technical stakeholders.
- Experience leading ML projects and mentoring junior team members.
- Expertise in NLP, including text summarization, classification, and entity extraction.
- Proficiency in Python and NLP libraries (spaCy, NLTK, gensim, BERT, etc.).
- Familiarity with cloud platforms (Azure preferred but not required).
- Exposure to data visualization tools.
- Consulting experience is a plus.
THE BENEFITS
- Competitive base salary of $200,000-230,000
- Bonus and full benefits package
- Opportunity to lead AI-driven initiatives in a high-growth firm
HOW TO APPLY
Register your interest by sending your resume to Jack Wolf via the Apply link on this page.
To Apply for this Job Click Here

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