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Senior Data Engineer

Location: 100% Remote (U.S. only, excluding California)

Compensation: $125,000 to $190,000 base + bonus

About the Opportunity

Our client is a growing healthcare organization focused on improving care delivery and outcomes for underserved and medically complex populations. Their Data & Technology team is investing heavily in modernizing and scaling its data ecosystem, creating a unique opportunity to help build a next-generation platform from the ground up.

This is a true greenfield opportunity where you’ll play a key role in designing data architecture, building cloud-based data infrastructure, and enabling analytics that support both operational and strategic decision-making.

What You’ll Do

• Design and build scalable data warehousing and data engineering solutions in AWS.
• Develop and maintain robust ETL/ELT pipelines using Python, SQL, and Apache Airflow.
• Integrate data from a variety of internal and external systems, APIs, and third-party sources.
• Help define data architecture, engineering standards, and best practices.
• Optimize data models, storage, and performance to support analytics and reporting.
• Partner with business and technical stakeholders to deliver data solutions that drive measurable outcomes.

Required Qualifications

• 5+ years of data engineering experience.
• Strong hands-on experience with AWS-based data platforms and cloud infrastructure.
• Proven success building and managing data pipelines in AWS.
• Deep experience with Apache Airflow.
• Strong Python and SQL skills.
• Experience designing, implementing, and supporting modern data warehouse environments.
• Ability to work independently and make architecture and technical design recommendations.

Preferred Qualifications

• Experience with Snowflake and dbt.
• Exposure to healthcare, health data, or regulated data environments.
• Familiarity with healthcare interoperability standards, claims data, EHR systems, or HIPAA requirements.

Ideal Candidate

We’re looking for a senior-level engineer who enjoys building from scratch, thrives in fast-paced environments, and can take ownership of data architecture decisions. This person should be comfortable balancing hands-on engineering work with strategic input on how a modern cloud data platform should evolve.

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Lead Data Scientist

Location: Hybrid (Tempe, AZ preferred; Dallas, TX or Atlanta, GA also considered)

Schedule: 4 days onsite per week (Monday-Thursday)

Compensation: $130-145,000 base salary + bonus eligibility

Overview

A leading organization is seeking a Lead Data Scientist to drive advanced risk and financial modeling initiatives that directly influence business performance. This is a highly visible individual contributor role for a senior-level data scientist who can independently lead complex projects, quantify business impact, and effectively communicate insights to executive stakeholders.

This team is responsible for identifying significant financial opportunities, developing predictive models, and delivering measurable outcomes. Success in this role requires strong technical expertise, business acumen, and the ability to defend models in regulated environments.

Responsibilities

• Lead end-to-end data science projects from problem definition through implementation.
• Develop, validate, and monitor predictive and risk models using large-scale financial and customer datasets.
• Apply advanced statistical and machine learning techniques, including gradient boosting models.
• Translate model outputs into actionable business recommendations and financial impact.
• Present findings, model performance, and recommendations to senior leadership and executive stakeholders.
• Support model governance activities, audits, and validation reviews.
• Mentor and support team members while serving as a technical leader within the organization.

Required Qualifications

• 8+ years of experience in data science, quantitative analytics, or predictive modeling.
• Strong background in finance, credit, or risk modeling within a regulated industry.
• Advanced Python and SQL skills.
• Strong foundation in mathematics, statistics, and predictive modeling.
• Experience building and validating models used for financial or risk-related decision making.
• Experience presenting technical concepts and model results to executive audiences.
• Proven ability to independently own and deliver complex projects.
• Experience supporting external audits and defending analytical models.

Preferred Experience

Experience in one or more of the following areas:

• Credit risk modeling
• Probability of Default (PD) modeling
• Credit loss or loss forecasting models
• Scorecard development
• Payment behavior analytics
• Banking, lending, mortgage, credit card, or credit bureau data
• Financial impact and portfolio analysis

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or another quantitative discipline required.
• Master’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field preferred.

Why Join?

• Direct ownership of high-value analytics initiatives.
• Opportunity to see models implemented and tied to measurable business outcomes.
• Significant executive exposure and influence.
• High-impact, collaborative team where individual contributions are highly visible.
• Ability to drive projects that identify and deliver multi-million-dollar business opportunities.

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Graduate CRM Analyst (Data)

Location: Watford
Salary: £35,000 + bonus
Working pattern: Hybrid – 3 days per week in the office

A leading organisation is looking for a Graduate CRM Analyst to join its growing CRM team and support the delivery of customer marketing campaigns.

This is a great opportunity for an early-career analyst with SQL experience who enjoys working with data, solving problems and collaborating with stakeholders.

The Role

You’ll be responsible for building and managing customer audiences for CRM campaigns, ensuring campaigns are accurately targeted and delivered on time.

Key responsibilities include:

• Building customer audiences and segments using SQL
• Managing campaign schedules and audience requests
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring and promotional CRM campaigns
• Performing audience validation and quality checks
• Providing basic campaign analysis and reporting
• Working closely with CRM Strategy, Operations and Data teams

About You

We’re looking for someone with:

• Basic/intermediate SQL skills, including joins, GROUP BYs, counts and aggregations
• A STEM, data-focused or analytical degree/background
• Strong attention to detail
• Excellent communication and stakeholder management skills
• The ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university, internships, placements or an early-career role

CRM, marketing or Salesforce Marketing Cloud experience is desirable but not essential.

Why Join?

• Join a growing and strategically important CRM function
• Clear progression into Senior Analyst, Manager or BI opportunities
• Gain exposure to CRM, customer data and campaign analytics
• Work closely with Strategy, Operations and Data teams
• Opportunity to take ownership of CRM scheduling and campaign governance

Interested? Apply now or get in touch for more information.

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SEO, Content & Automations Manager

Location: London | Salary: Up to £50,000 + bonus | Hybrid

An exciting opportunity to join a growing international digital business as an SEO, Content & Automations Manager.

You’ll own SEO and content delivery while helping shape the company’s approach to AI-driven search, AEO/GEO and automation.

Key Responsibilities

• Own SEO strategy and day-to-day delivery
• Create, edit and optimise high-quality content
• Develop AI/LLM search and AEO/GEO strategies
• Build content and SEO automations using tools such as n8n, Make or Zapier
• Analyse performance using tools such as Ahrefs, SEMrush, GA and Search Console
• Identify opportunities to improve efficiency and content quality

About You

• 2+ years’ experience across SEO, content or digital marketing
• Strong understanding of SEO and content best practice
• Hands-on interest in AI, LLMs and the future of search
• Experience or strong interest in automation
• Analytical, creative and highly organised
• Ambitious, commercially minded and keen to progress into leadership

Great opportunity to shape AI, SEO and content strategy within an international business, with potential to build a team and progress quickly.

Find out more and apply via the link below!

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CRM Analyst (Data)

Location: Watford
Salary: £35,000 + bonus
Working pattern: Hybrid – 3 days per week in the office

A leading organisation is looking for a CRM Analyst to join its growing CRM team and support the delivery of customer marketing campaigns.

This is a great opportunity for an early-career analyst with SQL experience who enjoys working with data, solving problems and collaborating with stakeholders.

The Role

You’ll be responsible for building and managing customer audiences for CRM campaigns, ensuring campaigns are accurately targeted and delivered on time.

Key responsibilities include:

• Building customer audiences and segments using SQL
• Managing campaign schedules and audience requests
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring and promotional CRM campaigns
• Performing audience validation and quality checks
• Providing basic campaign analysis and reporting
• Working closely with CRM Strategy, Operations and Data teams

About You

We’re looking for someone with:

• Basic/intermediate SQL skills, including joins, GROUP BYs, counts and aggregations
• A STEM, data-focused or analytical degree/background
• Strong attention to detail
• Excellent communication and stakeholder management skills
• The ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university, internships, placements or an early-career role

CRM, marketing or Salesforce Marketing Cloud experience is desirable but not essential.

Why Join?

• Join a growing and strategically important CRM function
• Clear progression into Senior Analyst, Manager or BI opportunities
• Gain exposure to CRM, customer data and campaign analytics
• Work closely with Strategy, Operations and Data teams
• Opportunity to take ownership of CRM scheduling and campaign governance

Interested? Apply now or get in touch for more information.

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This is an opportunity to take ownership of SEO, content, and automation within a growing digital business. The role offers the chance to shape AI search strategy, improve visibility across emerging search platforms, and build workflow automations that deliver meaningful business impact.

The Company
They are a well-established digital organisation with a strong online presence and a focus on innovation across search, content, and customer acquisition. As they continue to invest in AI-driven search and automation, they are looking for someone who can help shape the future of their organic growth strategy. You’ll join a collaborative environment where new ideas are encouraged and where technology is used to improve performance and efficiency.
The Role
You will:

• Lead day-to-day SEO delivery and content production across key digital channels.
• Develop and optimise strategies for AI-driven search platforms, including AI search experiences and LLM-based discovery channels.
• Monitor brand and content visibility within AI-generated responses and implement improvements based on performance insights.
• Refine structured data, content formats, and on-page SEO signals to improve discoverability and citation potential.
• Design, build, and maintain workflow automations to streamline content and SEO processes.
• Identify manual processes and create scalable automated solutions using modern automation tools.
• Use leading SEO platforms and analytics tools to monitor performance, identify opportunities, and support technical SEO improvements.
• Collaborate with stakeholders across the business to drive organic growth and improve digital performance.

Your Skills & Experience

• Strong commercial experience in SEO, content marketing, digital marketing, or a related discipline.
• Excellent understanding of SEO best practice, content optimisation, and search performance analysis.
• Knowledge of AI-driven search, Answer Engine Optimisation (AEO), Generative Engine Optimisation (GEO), or a demonstrable passion for this area.
• Hands-on experience building workflow automations using tools such as n8n, Zapier, Make, or similar platforms.
• Experience using SEO and analytics tools including Google Analytics, Google Search Console, Ahrefs, SEMrush, Moz, and Screaming Frog.
• Strong organisational skills with the ability to manage multiple priorities effectively.
• A proactive approach and confidence working collaboratively across different teams.
• Experience with scripting languages, affiliate marketing, or additional European language skills would be advantageous.

What They Offer

• Salary up to £50,000 plus bonus.
• Hybrid working with three days per week in the London office.
• Opportunity to lead AI search and automation initiatives.
• Exposure to innovative SEO and content strategies.
• Strong scope for professional development and career progression.

How to Apply
If you’re excited by the intersection of SEO, AI search, content strategy, and automation, apply today to find out more.

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Lead Data Scientist

We are looking for a Lead Data Scientist to own complex quantitative and risk modeling projects from problem definition through implementation. This is a highly visible role where your models will directly influence multi-million-dollar business opportunities and be presented to executive stakeholders.

What You’ll Do

• Build, evaluate, and validate quantitative and risk models.
• Work with large financial and credit datasets.
• Develop models using Python, SQL, and gradient boosting techniques.
• Translate model outputs into measurable financial and dollar impact.
• Own projects end-to-end, from defining the problem through implementation.
• Present technical findings and recommendations to senior and executive stakeholders.
• Defend models and methodology during external audits.
• Help identify and quantify significant financial opportunities.
• Provide technical guidance and support to other team members.

What We’re Looking For

• 8+ years of data science/modeling experience
• Strong Python and SQL skills.
• Strong data modeling experience.
• Strong mathematical and statistical foundation.
• Experience with gradient boosting models.
• Proven ability to independently lead projects end-to-end.
• Excellent communication and presentation skills.
• Comfortable explaining technical work and model results to executives.
• Experience working through external audits and defending models.
• Finance/risk modeling experience within a regulated industry is required.

Required Domain Experience

You should have experience in areas such as:

• Credit risk modeling
• Financial or loss modeling
• Probability of Default (PD) modeling
• Credit scorecards
• Payment behavior modeling
• Credit attribute modeling
• Mortgage, credit card, banking, or credit bureau data
• Risk modeling within a regulated financial institution

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Quantitative Engineering, or another highly quantitative field.
• Master’s degree in Data Science or a related quantitative discipline preferred.

The Ideal Candidate

This role is suited to a senior-level Data Scientist who can operate independently, drive complex projects, and communicate confidently with both technical and executive audiences.

Location: Tempe, AZ preferred; Dallas or Atlanta also considered
Working Model: Hybrid, 4 days per week (Monday-Thursday)
Compensation: $140,000-$150,000 base
Visa: U.S. Citizen or Green Card holder only

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Lead Backend Engineer – AI Services

The Role

We are looking for a Lead Backend Engineer to help bring AI/ML capabilities from prototype to production within an established SaaS platform.

This is a hands-on technical leadership role, not an engineering management or research position. You’ll work closely with Data Science to build scalable backend services, make architectural decisions, and integrate AI into customer-facing products.

What You’ll Do

• Build and evolve backend services across an established SaaS platform.
• Integrate LLMs, RAG, model serving, predictions, and scoring into production products.
• Partner with Data Science to take models and POCs from prototype through production.
• Design reusable infrastructure and patterns for AI development.
• Lead projects from architecture through delivery.
• Make build vs. buy and broader architectural decisions.
• Improve scalability, reliability, security, and maintainability.
• Communicate technical decisions and tradeoffs to senior leadership.

What We’re Looking For

• 15+ years of software engineering experience
• Strong server-side Java and backend engineering experience.
• Experience integrating AI/ML into commercial or customer-facing products.
• Proven experience taking projects from prototype to production.
• Strong architecture and system design skills.
• Experience working within and modernizing existing production platforms.
• Linux and cloud experience across AWS, Azure, or GCP.
• Strong engineering fundamentals including testing, CI/CD, monitoring, and security.
• Basic SQL and experience with data-centric platforms.
• Excellent communication and technical leadership skills.

AI/ML Experience

Experience with several of the following:

• Python / FastAPI
• MLflow
• LangChain or similar frameworks
• Vector databases / RAG
• LLM APIs
• Model serving
• ML pipelines
• Prompt engineering / agentic workflows

Ideal Background

You’ll be a strong fit if you have deep Java backend experience, have successfully put AI/ML into production, and enjoy working closely with Data Science to solve complex technical problems.

Experience with analytics, BI, decision-support applications, or healthcare is a plus.

100% Remote | U.S. Work Authorization Required

Compensation: $175,000-$210,000

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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STAFF AI ENGINEER

Palo Alto, California, United States (On-site / Hybrid)

The Role

We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.

This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.

You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.

What You’ll Build

• Production LLM-powered services and applications
• Enterprise copilots and conversational AI systems
• Text-to-code and natural language SQL systems
• Agent frameworks and tool-using AI systems
• Workflow automation powered by foundation models
• API layers for LLM integration across systems
• Scalable GenAI infrastructure and deployments
• CI/CD pipelines for AI services

What You Bring

• 8-12+ years software or ML engineering experience
• Strong experience building production LLM or ML systems
• Deep understanding of foundation models and LLM APIs
• Strong backend and distributed systems experience
• Experience with AWS production environments
• Kubernetes / containerized deployment experience
• Strong systems thinking (latency, scaling, reliability trade-offs)

Strong Preference For

• ML engineering background over traditional full-stack
• Experience building GenAI or agentic systems in production
• Strong analytical background (PhD-level NLP/CV a plus)

Why This Role

• Build and scale core GenAI infrastructure with real impact
• High ownership from architecture through production
• Fast iteration cycles and strong technical autonomy
• High visibility with senior technical leadership
• Opportunity to shape foundational AI systems at scale

• Opportunity to shape foundational AI systems at scale

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Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong hands-on Python and SQL skills
• Experience building, deploying, and improving production ML models
• Experience working with large-scale datasets
• Strong understanding of feature engineering, model optimization, and experimentation
• Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems
• Ability to operate independently, take ownership, and drive technical decisions

Why Join?

• Work on high-impact ML systems serving millions of users
• Own and improve models that directly influence product performance and revenue
• Join a mature engineering environment with strong data infrastructure already in place
• Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states: California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

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Machine Learning Scientist

Remote (USA only)

About the Role

A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology.

This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team.

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning and foundation models.
• Rapidly prototype and test new research ideas.
• Develop benchmark tasks and evaluation frameworks.
• Collaborate closely with researchers, scientists, and engineers.
• Contribute to publications and technical presentations.

Ideal Background

• PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field.
• Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues.
• Experience building models in PyTorch and conducting original machine learning research.
• Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning.

Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply.

Why Join?

• Work on cutting-edge machine learning research with real-world impact.
• Collaborate with world-class researchers and scientists.
• Help shape the future of AI-driven scientific discovery.

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