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Senior Machine Learning Engineer (AdTech)

Irvine, CA (Hybrid)
Base Salary: Up to $240,000
U.S. Citizen or Green Card Holder Required

About the Opportunity

A rapidly growing technology company in the AdTech space is seeking a Senior Machine Learning Engineer to join a high-impact optimization and data science team. This role is ideal for a hands-on machine learning practitioner who enjoys building production-ready models, working with large-scale datasets, and driving measurable business outcomes through AI and machine learning.

You will own end-to-end machine learning initiatives, from problem definition and feature engineering to model deployment, retraining, and performance optimization. This position offers the opportunity to influence core advertising performance systems and work closely with product, engineering, and analytics teams.

What You’ll Do

• Design, train, evaluate, and deploy machine learning models for optimization and predictive analytics within AdTech environments.
• Analyze large-scale, multi-source datasets to uncover trends, opportunities, and performance drivers.
• Build and maintain scalable data pipelines and feature generation processes.
• Continuously improve model performance through experimentation, retraining, and feature enhancements.
• Partner with product managers and engineering teams to define requirements and deliver measurable business impact.
• Monitor model health, accuracy, and operational performance in production environments.
• Develop high-quality, maintainable code with appropriate testing, documentation, and best practices.
• Communicate technical findings and modeling decisions to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related technical field.
• 5+ years of professional experience in Machine Learning Engineering, Applied Machine Learning, Data Science, or a related field.
• Strong experience developing and training machine learning models using Python and modern ML frameworks/libraries.
• Advanced SQL skills and experience working with large-scale datasets and complex multi-table data environments.
• Experience within AdTech, digital advertising, marketing technology, or advertising optimization platforms is required.
• Strong understanding of feature engineering, model evaluation, and predictive modeling techniques.
• Experience building and supporting production ML systems.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with online feature stores and real-time data systems.
• Background in recommendation systems, bidding optimization, user acquisition, ad monetization, or advertising performance models.
• Experience working in cloud-based ML environments.
• Familiarity with MLOps practices and model lifecycle management.

Work Environment

• Hybrid work arrangement based in Irvine, California.
• Collaborative and fast-paced environment focused on innovation and measurable results.
• Opportunity to work on high-visibility machine learning initiatives that directly impact business performance.

Compensation & Benefits

• Competitive base salary up to $240,000
• Comprehensive benefits package
• Performance-based incentives
• Career growth and advancement opportunities
• Collaborative, technology-driven culture

Please note: Candidates must be authorized to work in the United States without sponsorship. U.S. Citizens and Green Card holders only.

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Senior Data Engineer

Location: Richardson, TX
Work Model: Hybrid (4 days onsite)
Compensation: $140,000-$160,000 base + bonus

Work Authorization: Must be authorized to work in the U.S. without sponsorship (now or in the future)

About the Company

This established financial services organization is investing heavily in the next generation of its enterprise data platform. The team is building a modern cloud-native analytics ecosystem designed to support scalable data products, advanced analytics, and AI initiatives across the business.

This is an opportunity to join a well-funded modernization effort where you’ll help define engineering standards, influence architecture, and build production-grade data solutions using today’s leading cloud technologies.

The engineering culture emphasizes technical excellence, ownership, automation, and collaboration, giving engineers the opportunity to make a lasting impact while working on highly visible initiatives.

About the Role

This is not a traditional ETL maintenance role.

As a Senior Data Engineer, you’ll help build a modern analytics platform from the ground up, designing scalable ingestion pipelines, transformation frameworks, and cloud-native data architectures that enable analytics, reporting, and AI across the enterprise.

You’ll work alongside platform engineers, architects, analytics teams, and business stakeholders to build production-ready data solutions while helping establish engineering best practices for the broader organization.

Whether your strength is data ingestion with Fivetran or analytics engineering with dbt and Snowflake, you’ll have the opportunity to own critical components of a rapidly evolving data platform.

Key Responsibilities

• Design and build scalable ELT pipelines using modern cloud technologies
• Develop and maintain production-ready data transformation frameworks with dbt
• Design Snowflake data models that support analytics, reporting, and downstream applications
• Build and optimize data ingestion pipelines using Fivetran and cloud-native integration patterns
• Develop reusable, well-tested Python and SQL solutions for large-scale data processing
• Implement CI/CD practices and Infrastructure as Code to improve deployment reliability
• Establish data quality, observability, governance, and operational monitoring standards
• Partner with architects, platform engineers, analytics teams, and business stakeholders to deliver enterprise-scale data solutions
• Evaluate emerging technologies and contribute to the long-term evolution of the data platform
• Mentor engineers and promote engineering best practices across the team

Must Haves

• 7+ years of Data Engineering experience building production-grade data platforms
• Strong Python and advanced SQL skills
• Hands-on experience with dbt (required)
• Production experience with Snowflake
• Experience designing scalable ELT/ETL pipelines
• Modern cloud experience (AWS preferred)
• Experience building and supporting enterprise data warehouses
• Strong understanding of CI/CD, version control, and software engineering best practices
• Ability to lead technical discussions and influence architectural decisions
• Excellent communication skills with a collaborative, ownership-driven mindset

Nice to Have

• Fivetran
• Terraform or Infrastructure as Code
• PySpark
• Kafka or streaming data platforms
• Financial services experience
• Data platform modernization or cloud migration experience
• Experience building analytics-ready data products

Why Join

• Help build a next-generation enterprise analytics ecosystem from the ground up
• Work on a greenfield-style modernization initiative using modern cloud technologies
• Join a collaborative engineering organization where technical leadership is valued
• Influence architecture, engineering standards, and the future direction of the data platform
• Work with technologies including Snowflake, dbt, Fivetran, Python, AWS, and Terraform
• Competitive compensation of $150,000-$160,000 base + bonus
• Hybrid schedule (4 days onsite) with long-term career growth in a stable enterprise environment

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Application Support Engineer (Front Office Technology)
New York – 4 Days Onsite
Salary: $150,000 to $180,000 base salary + bonus

This is a front office Application Support Engineer role with a clear engineering mandate. You will support a core trading platform while actively reducing manual support through automation, observability, and AI driven tooling. It offers direct exposure to traders and portfolio managers, and a genuine pathway into platform engineering or SRE style work.

The Company
They are a global investment firm operating across major financial markets with a strong focus on technology and data. The organisation follows an engineering led approach, with continuous investment in modern platforms and tooling. Their environment is collaborative, high performance, and centred around innovation in trading systems. Teams work closely with the front office, ensuring technology plays a direct role in driving business outcomes.

The Role

• Own the stability and performance of a front office trading platform across the trading day
• Monitor system health, respond to incidents, and coordinate resolution across technology and business teams
• Investigate and resolve issues related to order flow, FIX connectivity, and market data
• Build Python based tools to automate repetitive support tasks and improve system efficiency
• Develop and maintain monitoring dashboards and alerting using Grafana or similar
• Partner with traders, portfolio managers, and quants to ensure smooth system operation
• Collaborate with engineering teams to implement long term fixes and enhancements
• Contribute to AI driven initiatives for incident detection and operational improvement
• Support releases through testing and validation processes

Your Skills and Experience

• Strong commercial experience in application or production support within a trading or financial services environment
• Working knowledge of Python for scripting and automation
• Experience with FIX protocol, Linux environments, and SQL Server
• Familiarity with monitoring and observability tools such as Grafana
• Exposure to execution management systems such as EMSX, FlexTrade, or similar
• Understanding of market data platforms and order lifecycle workflows
• Experience using tools such as Git and Jira
• Ability to troubleshoot under pressure and communicate clearly with technical and non technical stakeholders
• Interest in using AI or LLM tools to improve operational processes

What They Offer

• Base salary between $150,000 and $180,000 with performance related bonus
• High visibility role with direct interaction with front office stakeholders
• Opportunity to shape the future of support through automation and AI tooling
• Clear progression into platform engineering or SRE aligned positions
• Collaborative and technology focused working environment

How to Apply
If you are interested in this Application Support Engineer opportunity in New York, apply now with your CV to learn more.

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Principal Credit Risk Consultant
London. Hybrid working with 2 days in the office.
£90,000 to £120,000 + benefits.

This is a standout opportunity for a Principal Credit Consultant to take on a highly visible role within a leading credit risk and analytics consulting environment. You will combine hands on analytical delivery with senior stakeholder engagement, playing a key role in both client impact and team development.

The Company
They are a well established UK consultancy operating across financial services, with a strong focus on credit risk, analytics, and advisory. The business partners with lenders and financial institutions to deliver data driven strategies and insights. Their credit risk team is recognised for delivering high quality work in a collaborative, flat structure that enables close interaction with senior specialists. They continue to grow their capabilities and client base across multiple service areas.

The Role
You will lead complex engagements while contributing to the growth and development of the credit risk team.

• Lead end to end delivery of credit risk and analytics consulting projects
• Manage multiple engagements, ensuring delivery to scope, timeline, and budget
• Provide hands on analytical input where required across modelling and data analysis
• Build strong client relationships and act as a trusted advisor on credit risk strategy
• Support growth through expanding existing client relationships and contributing to proposals
• Mentor and develop analysts, supporting capability building within the team
• Contribute to internal discussions on resource planning, delivery quality, and team development

Your Skills and Experience

• Strong commercial experience in credit risk analytics within UK lending
• Experience in a consultancy or client facing analytics environment
• Proven ability to lead projects and manage delivery teams
• Expertise across credit risk modelling, forecasting, or strategy optimisation
• Strong coding capability in SAS, SQL, or Python, with willingness to work in Python
• Ability to communicate complex analytical outputs clearly to a range of stakeholders
• Experience building and maintaining client relationships

What They Offer

• Salary between £90,000 and £120,000 depending on experience
• Hybrid working with London office presence
• Opportunity to take on a senior, influential role within a growing team
• Exposure to complex projects and high impact client work
• Collaborative environment focused on professional development

How to Apply
Apply now to learn more about this Principal Credit Consultant opportunity and the next steps in the process.

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Insights Manager

This is a good opportunity for an Senior research Exec to step into a role with genuine ownership and visibility. You will combine quantitative expertise with direct client engagement, delivering research that shapes marketing strategy and drives business outcomes.

The Company
They are a well-established media and insights organisation with a dedicated research team embedded within a wider strategy function. The team supports a range of well-known brands, helping them understand audiences, evaluate campaigns, and identify growth opportunities.

The Role

• Lead end-to-end delivery of brand tracking and ad hoc research projects
• Design and manage quantitative research programmes from methodology through to analysis and reporting
• Translate complex datasets into clear, actionable insights for clients
• Own day-to-day client relationships and act as a trusted advisor
• Present findings and recommendations in a confident and engaging way
• Support proposal development and contribute to new business activity
• Identify trends within data to inform strategic decision making
• Collaborate with planning and strategy teams to integrate insights into wider campaigns

Your Skills & Experience

• Hands-on experience running continuous tracking studies or large-scale research programmes
• Proven ability to manage projects independently from start to finish
• Confidence in client management and presenting insights to stakeholders
• Experience using statistical analysis and data visualisation tools
• Strong storytelling skills with the ability to bring data to life
• Interest in brand strategy, media, and communications

What They Offer

• Salary up to £45,000
• High level of ownership and client exposure
• Opportunities to contribute to thought leadership and innovation
• Clear progression within a collaborative and insight-driven team

How to Apply
Apply with your CV to be considered for this Insight Manager opportunity.

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This is a role where advanced Excel modelling sits at the core of strategic decision making. You will step into a position that goes beyond reporting, focusing on shaping commercial direction through insight, influencing senior stakeholders, and driving tangible business growth.

The Company
They are an established, internationally recognised organisation operating within a premium consumer sector, with a strong heritage and a growing direct to consumer focus. The business is investing heavily in data and analytics as a key driver of future growth. With ambitious expansion plans, they are building a best in class analytics capability to support strategic decision making across multiple business areas. You will join a collaborative and evolving data function working closely with marketing, growth and commercial teams.

The Role
* Translate complex datasets into clear, actionable commercial insights
* Build advanced Excel models for forecasting, scenario planning and sensitivity analysis
* Deliver high quality PowerPoint presentations for senior stakeholders
* Partner with marketing, CRM and growth teams to answer key business questions
* Investigate ambiguous problems and identify underlying drivers of performance
* Influence strategic investment and growth decisions through data driven recommendations

Your Skills and Experience
* Strong commercial experience within analytics, insight or strategy
* Advanced Excel capabilities, including modelling, forecasting and scenario analysis
* Ability to communicate complex findings through clear storytelling and presentations
* Experience working with large, multi source datasets
* Proven ability to influence stakeholders and translate data into business value
* Insight led mindset focused on solving problems rather than producing dashboards

What They Offer
* Salary up to £90,000
* Comprehensive benefits package including private medical and pension
* Clear progression opportunities as the analytics function continues to grow
* Exposure to senior leadership and strategic decision making

How to Apply
If you are interested in applying please submit your CV.

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Data Scientist – MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows

How to Apply
Apply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.

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This is an opportunity to join an analytics team within a leading data-led marketing environment. The role offers strong exposure to digital performance, customer insight, and end-to-end campaign measurement, with clear impact on client strategy and business outcomes.

The Company
They are a global consultancy-style organisation operating at the intersection of data, technology and marketing. Their work focuses on delivering measurable impact through customer-centric insights and advanced analytics. With a strong agency and consulting heritage, they partner with major brands to transform marketing effectiveness and customer experience. They foster an inclusive and collaborative culture, with a strong emphasis on continuous learning and development.

The Role
You will play a role in delivering data-driven insights across digital campaigns and customer journeys.

Responsibilities will include:

• Leading post campaign analysis to evaluate performance and identify optimisation opportunities
• Delivering customer journey reporting across multiple digital touchpoints
• Building and maintaining dashboards using tools such as Power BI or Tableau
• Working with large datasets using SQL and Python to generate insights
• Collaborating with stakeholders to translate business questions into analytical solutions
• Supporting test and learn methodologies, including A/B testing and campaign optimisation
• Mentoring junior analysts and contributing to best practice within the team

Your Skills and Experience

• Commercial experience in marketing analytics within an agency or consultancy environment
• Experience in digital analytics, including web and social performance measurement – GTM, Google Analytics
• Proven ability to deliver post campaign analysis and customer journey insights
• Experience with SQL and Python for data manipulation and analysis
• Experience with data visualisation tools such as Power BI or Tableau
• Understanding of tagging, attribution and digital measurement frameworks
• Stakeholder management skills with the ability to present insights clearly

What They Offert

• Structured learning and development programmes
• Clear progression pathways within a growing analytics function
• Comprehensive benefits package focused on wellbeing and work-life balance

How to Apply
If you are interested in applying your digital analytics expertise in a client-facing, insight-driven environment, please submit your CV to learn more.

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