To Apply for this Job Click Here

Founding AI Engineer

Fort Worth, TX (4 Days Onsite – Non-Negotiable)
Compensation: Up to $300,000 Base + Meaningful Equity

About the Opportunity

We are partnering with a well-capitalized, publicly traded company undergoing a significant AI-driven transformation. The organization operates in a highly data-rich environment and is making a substantial long-term investment in artificial intelligence, software development, automation, and intelligent decision systems.

This is not a research role.

This is an opportunity for a highly capable AI Engineer to build production-grade AI products that solve real business problems, influence strategic decisions, and ultimately become core to the company’s competitive advantage. The successful candidate will work directly with executive leadership and have a meaningful role in shaping the company’s AI roadmap from the ground up.

Why This Role Stands Out

Most AI jobs today focus on prototypes, experimentation, and proof-of-concepts.

This role is different.

You’ll be responsible for building AI systems that are actively used, trusted, and integrated into day-to-day operations. You’ll have the autonomy to identify opportunities, architect solutions, deploy production applications, and see the direct impact of your work across the business.

For engineers who enjoy operating at the intersection of:

• AI Agents
• LLM Infrastructure
• Full-Stack Product Development
• Data Systems
• Model Fine-Tuning
• Automation & Workflow Design

this is a rare opportunity to build something meaningful from an early stage.

What You’ll Be Building

AI Products & Agentic Systems

• Design and deploy AI agents that automate complex workflows.
• Build production-ready LLM applications for internal and external users.
• Develop agent orchestration frameworks and AI-powered decision-support systems.
• Create scalable architectures that move beyond demos into real-world business applications.

Generative AI Infrastructure

• Implement RAG pipelines and vector database architectures.
• Develop evaluation frameworks to measure model performance and reliability.
• Fine-tune and customize models using LoRA and modern adaptation techniques.
• Work with open-source and commercial LLM ecosystems.

Full-Stack Product Development

• Develop backend services and APIs in Python.
• Build user-facing applications using modern frontend frameworks such as React and TypeScript.
• Create intuitive interfaces that make AI useful for technical and non-technical users alike.

Data & Platform Engineering

• Design scalable data architectures and database-backed applications.
• Connect AI systems with operational and business data sources.
• Ensure applications are observable, maintainable, secure, and performant in production environments.

What We’re Looking For

We are interested in builders.

The ideal candidate has experience taking an idea from concept to deployment and can comfortably operate across multiple layers of the stack.

Core Requirements

• Strong professional software engineering experience in Python.
• Experience building production-grade AI applications.
• Hands-on experience with:
  • AI Agents
  • RAG architectures
  • Vector databases
  • LangChain, LangGraph, or similar frameworks
  • LoRA fine-tuning workflows
  • LLM evaluation methodologies
• Experience developing APIs, backend services, and scalable systems.
• Strong understanding of application security and software architecture.
• Demonstrated ability to build software that real users depend on.

Bonus Points

• React and TypeScript expertise.
• Experience serving or self-hosting open-source models.
• Experience with GGUF, Safetensors, or model optimization workflows.
• Background in distributed systems, platform engineering, or MLOps.
• Startup mentality with a bias toward execution and ownership.

Who Thrives Here

This environment is best suited for engineers who:

• Move quickly without sacrificing quality.
• Prefer ownership over bureaucracy.
• Want direct access to business leaders and decision-makers.
• Enjoy turning ambiguity into working products.
• Are excited by the opportunity to build AI systems that become mission-critical to an organization.

You’ll be joining a team that views AI as a strategic advantage-not a side project.

Location Requirement

This role is based in Fort Worth, Texas and requires onsite presence four days per week.

This requirement is non-negotiable. The company believes the strongest outcomes come from close collaboration between engineering, operations, and leadership teams, and has intentionally built an onsite-first culture around innovation and execution.

Compensation

• Base salary up to $300,000
• Meaningful equity participation
• Long-term wealth creation opportunity
• Executive visibility and influence
• Opportunity to help define the future direction of AI within the organization

Confidential Search

This search is being conducted on a confidential basis. Further company details will be shared with qualified candidates during the interview process.

To Apply for this Job Click Here

To Apply for this Job Click Here

Growth Analyst (Marketing & Product)

London (Hybrid) – Up to £80k

The Opportunity

We’re partnering with a fast-growing consumer brand looking for a Growth Analyst to drive smarter decision-making across acquisition, retention, and product growth.

This is a highly strategic role where you’ll act as a key partner to marketing and product teams-turning data into actionable insight that directly shapes growth strategy and commercial outcomes.

Key Responsibilities

• Identify growth opportunities across acquisition, conversion, retention, and lifecycle
• Partner with marketing and product teams to shape strategy and prioritisation
• Analyse funnels, cohorts, campaigns, and customer behaviour
• Design and evaluate experiments (A/B tests, incrementality tests)
• Diagnose performance trends and uncover root causes
• Define and track KPIs for growth initiatives
• Translate complex analysis into clear, actionable recommendations
• Work cross-functionally with data, finance, and engineering teams

What We’re Looking For

• Strong experience in growth, marketing, or product analytics
• Advanced SQL skills and experience working with large datasets
• Experience analysing funnels, experiments, and customer lifecycle
• Knowledge of attribution, channel performance, and marketing analytics
• Strong commercial acumen and ability to influence decisions
• Excellent communication and stakeholder management skills
• Proactive, curious mindset with strong problem-solving ability
• Comfortable working in fast-paced, ambiguous environments

Ways of Working

• Hybrid working (with flexibility and WFH options)
• Highly collaborative, cross-functional environment
• Focus on high-impact, decision-led analytics
• Strong emphasis on experimentation and continuous improvement

Benefits

• Competitive salary + benefits package
• Private health insurance (including dental and optical)
• 26+ days holiday (including birthday) + tenure-based increases
• Work-from-home flexibility + work from anywhere options
• Annual professional development budget
• Pension contributions and enhanced parental leave
• Employee discounts and lifestyle perks
• Regular team socials and a collaborative office culture

How to Apply

If you’re a commercially minded analyst who wants to influence real business decisions and drive growth, we’d love to hear from you.

Apply with your CV or reach out to me!

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer

Location: Remote (USA)

Compensation: Up to $190,000

About the Role

We’re hiring a Senior Applied Machine Learning Engineer to join a high-performing team focused on designing and deploying advanced machine learning systems that power critical decision-making at scale.

This role is ideal for someone with deep expertise in experimentation, statistical evaluation, and production machine learning who enjoys solving complex, ambiguous problems from first principles. You’ll work on high-impact machine learning systems where model performance, scalability, and reliability directly influence business outcomes.

This is a highly technical, research-oriented role with strong ownership across experimentation, model development, and production deployment.

What You’ll Do

Machine Learning Research & Development

Design, prototype, and deploy advanced machine learning models to solve complex decisioning problems

Build and improve multi-model systems and decision frameworks to enhance model performance and robustness

Develop and implement offline evaluation frameworks to assess model performance before production deployment

Design experiments and validation strategies to test hypotheses and improve model effectiveness

Explore and integrate emerging machine learning techniques, tooling, and infrastructure

ML Platform & Infrastructure

Design and build machine learning pipeline components that improve experimentation velocity and production readiness

Work within distributed computing environments to support large-scale model training and evaluation

Improve model monitoring, testing, documentation, and operational reliability across production systems

Partner with engineering teams to improve data pipelines and model deployment workflows

Cross-Functional Collaboration

Partner closely with Product, Engineering, and business stakeholders to translate complex business problems into machine learning solutions

Align technical solutions with product strategy, operational goals, and customer outcomes

Communicate model performance, experimental results, and technical tradeoffs clearly across teams

Technical Excellence

Champion best practices in experimentation, statistical rigor, and machine learning development

Help raise the technical bar across model design, evaluation, and deployment workflows

Mentor peers and contribute to a culture of scientific excellence and continuous improvement

What We’re Looking For

4-6+ years of experience in production machine learning or applied research environments

Strong expertise in Python, SQL, and distributed computing frameworks such as Spark

Deep understanding of machine learning theory, statistical evaluation, and experimental design

Proven experience designing and building machine learning systems from scratch, from problem definition through production deployment

Strong experience working with large-scale datasets and distributed model training workflows

Experience building robust offline evaluation methodologies and model validation frameworks

Strong foundation in statistics, optimization, or machine learning research

Ability to operate in ambiguous environments and independently drive technical solutions

Preferred Qualifications

PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Experience in risk modeling, trust & safety, anomaly detection, or related decisioning domains

Experience with ensemble methods, ranking systems, or optimization frameworks

Familiarity with modern ML infrastructure and large-scale experimentation systems

Why Join?

This is an opportunity to work on technically challenging machine learning problems at scale, with strong ownership over experimentation, model design, and production systems. You’ll help shape the future of machine learning strategy in a fast-moving, high-impact environment.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Architect (AI & Advanced Analytics)

Location: Remote (USA)
Compensation: $210,000 – $230,000 Base Salary

About the Role

We’re hiring a Data Architect to lead the design and evolution of modern data ecosystems that support advanced analytics, machine learning, and AI-driven decision-making across the business.

This is a senior technical role focused on building scalable data foundations, enabling analytical innovation, and improving how data is structured, governed, and consumed across the organization. You’ll work across data architecture, advanced analytics, and machine learning enablement to support high-impact business initiatives.

This role is ideal for someone who combines strong architectural thinking with hands-on experience supporting modern data and AI workflows.

What You’ll Do

Data Architecture & Platform Design

• Design and implement scalable data architectures that support analytics, machine learning, and operational reporting
• Define data models, storage strategies, and governance frameworks across distributed and cloud-native environments
• Build and improve modern data platform patterns including domain-oriented ownership, federated governance, and scalable data products
• Partner with engineering teams to improve data reliability, accessibility, and lineage across the organization

Advanced Analytics Enablement

• Support the development and deployment of predictive, optimization, and machine learning solutions across multiple business domains
• Build frameworks that improve experimentation, measurement, and analytical rigor
• Help shape data workflows that support production machine learning systems and advanced analytics applications
• Collaborate with teams to improve data quality and readiness for analytical and AI use cases

Insights & Business Partnership

• Analyze complex datasets to uncover trends, opportunities, and performance drivers
• Translate technical findings into strategic recommendations for business and product stakeholders
• Partner cross-functionally with Product, Engineering, Analytics, and Leadership teams to align data architecture with business goals

Leadership & Best Practices

• Establish architectural standards and best practices across data platforms and analytical systems
• Mentor engineers, analysts, and data practitioners across architecture and platform design
• Drive improvements in data governance, quality, and platform scalability
• Evaluate emerging technologies and identify opportunities to improve data systems and analytical capabilities

What We’re Looking For

• 7-10+ years of experience in Data Architecture, Data Engineering, Machine Learning, or Advanced Analytics
• Strong experience designing and implementing modern cloud-based data architectures
• Expertise in Python, SQL, and modern analytical tooling
• Strong understanding of distributed data systems, data modeling, and scalable platform design
• Experience supporting machine learning workflows and production analytical systems
• Strong experience with cloud-native data platforms and storage systems
• Experience with experimentation frameworks, measurement systems, and performance analysis
• Strong communication skills with the ability to work across technical and business teams
• Proven experience influencing data strategy and architectural direction

Preferred Qualifications

• Experience with data mesh, lakehouse, or federated data architectures
• Exposure to modern machine learning platforms and cloud-native AI tooling
• Experience with enterprise-scale analytics platforms and large data ecosystems
• Cloud certifications or advanced analytics certifications are a plus
• Experience in regulated or highly data-sensitive industries is beneficial

Why Join?

This is an opportunity to shape the future of data architecture within a growing organization where data and AI are central to product strategy and business performance. You’ll work on complex technical challenges, influence long-term architecture decisions, and build scalable systems that support the next generation of analytics and machine learning.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal & Staff Data Engineer’s (L4 & L5)

Location: Remote (USA)
Compensation: $220,000 – $240,000 Base Salary

About the Role

We’re hiring both Principal Data Engineer’s and Staff Data Engineers to join a growing engineering organization focused on building scalable, secure, and high-performance data platforms that power analytics, machine learning, and operational decision-making across the business.

This is a senior individual contributor role for someone who can own platform architecture end-to-end, define data strategy, and drive modernization across complex data ecosystems. You’ll play a critical role in shaping the data foundation that supports product innovation, AI initiatives, and enterprise-scale analytics.

This role is ideal for an experienced engineer who enjoys solving large-scale infrastructure challenges, building reliable systems, and influencing technical direction across teams.

What You’ll Do

Data Platform Architecture

• Define and lead data architecture strategy across pipelines, warehouses, and data lake environments
• Design and build scalable batch and real-time data pipelines for enterprise analytics and machine learning use cases
• Drive modernization of data platforms with a focus on scalability, reliability, performance, and cost optimization
• Develop data models and storage strategies to support high-volume, high-availability systems
• Implement data contracts and event-driven architectures across distributed systems

Data Reliability & Governance

• Establish and enforce data quality, governance, and compliance standards across the platform
• Build monitoring, alerting, and observability frameworks for data services and pipelines
• Improve reliability and operational resilience across data workflows and infrastructure
• Partner with teams to improve data accessibility, lineage, and trust across the organization

AI & Machine Learning Infrastructure

• Design data pipelines that support production AI/ML systems, including feature engineering, training datasets, inference pipelines, and model-serving workflows
• Support vectorized data architectures, semantic retrieval systems, and large-scale model input pipelines
• Build scalable systems to support modern machine learning applications and analytics workloads

Cross-Functional Leadership

• Partner with Engineering, Product, Analytics, and Leadership teams to align data platform strategy with business goals
• Help define technical standards and best practices across data engineering workflows
• Mentor and support other engineers across architecture, delivery, and technical growth
• Influence long-term platform strategy through architectural decisions and technical leadership

What We’re Looking For

• 7+ years of experience in Data Engineering or Data Platform Architecture
• Strong expertise in Python, Scala, and SQL
• Deep experience with distributed data systems and cloud-native data platforms
• Expertise building large-scale batch and streaming pipelines
• Strong experience with real-time data systems such as Kafka, Kinesis, or Pub/Sub
• Strong data modeling experience across analytical and operational systems
• Experience with orchestration frameworks and CI/CD pipelines for data workflows
• Strong understanding of data governance, quality frameworks, and compliance standards
• Experience building infrastructure for production machine learning systems
• Strong stakeholder communication skills and the ability to influence across technical and business teams
• Proven experience making architectural decisions in complex environments

Preferred Qualifications

• Experience with lakehouse architectures, data mesh, or data fabric concepts
• Experience with feature stores, vector databases, or retrieval systems
• Exposure to AWS and cloud-native analytics ecosystems
• Experience in highly regulated industries such as healthcare, financial services, or enterprise software
• AWS certifications (or equivalent cloud certifications) are a plus

Why Join?

This is an opportunity to shape the core data infrastructure of a growing organization where data is central to product development, machine learning, and strategic decision-making. You’ll work on complex technical challenges, influence long-term platform architecture, and build systems that directly impact the future of the business.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data Scientist

Location: Remote (USA)
Compensation: $200,000 – $250,000 Base Salary

About the Role

We’re hiring a Principal Data Scientist to join a growing team focused on building advanced machine learning solutions that improve decision-making, operational efficiency, and product intelligence across the business.

This is a senior individual contributor role for someone who enjoys solving complex, ambiguous problems and building scalable data science solutions from concept through production. You’ll work across large datasets, design robust modeling frameworks, and help shape the future of AI-driven decision-making within the organization.

This role offers high visibility, technical ownership, and the opportunity to influence both strategic and operational outcomes.

What You’ll Do

Machine Learning & Advanced Analytics

• Design, develop, and deploy machine learning models to solve complex business challenges
• Apply statistical analysis, predictive modeling, optimization techniques, and natural language processing to large-scale business problems
• Build and improve models focused on forecasting, classification, behavioral modeling, and operational optimization
• Evaluate model performance and continuously improve based on measurable business outcomes
• Develop experimental frameworks to test and validate model effectiveness

Data Infrastructure & Modeling

• Build and maintain robust SQL pipelines and ETL workflows to support model training and analytics
• Work across cloud-based and distributed data systems to access, transform, and prepare structured and unstructured data
• Conduct exploratory analysis, feature engineering, and anomaly detection to improve model quality
• Partner with data engineering teams to improve data reliability, accessibility, and scalability

Business Partnership

• Work closely with Product, Engineering, Operations, and Leadership teams to identify opportunities for machine learning applications
• Translate business challenges into scalable analytical frameworks and production-ready solutions
• Communicate technical findings and recommendations clearly to stakeholders at all levels

Technical Leadership

• Help establish best practices across experimentation, modeling, and deployment workflows
• Mentor other data scientists and support technical development across the team
• Stay current on emerging machine learning techniques and identify opportunities to apply them to business challenges

What We’re Looking For

• 10+ years of experience in Data Science, Machine Learning, or Advanced Analytics
• Strong expertise in Python and SQL
• Deep experience in statistical modeling, machine learning, and predictive analytics
• Experience deploying machine learning models into production environments
• Strong understanding of cloud data platforms and distributed computing frameworks
• Experience working with large-scale datasets and building reliable ETL workflows
• Familiarity with modern AI/ML tooling and generative AI applications
• Strong communication skills and the ability to work cross-functionally across technical and business teams
• Proven ability to influence strategy through data-driven insights

Preferred Qualifications

• Experience working in healthcare, life sciences, fintech, or other highly regulated environments
• Experience with NLP, recommendation systems, or optimization models
• Exposure to AWS and modern cloud-native data ecosystems
• Prior mentoring or leadership experience within Data Science teams

Why Join?

You’ll join a team where data science is a core driver of innovation and decision-making. This is an opportunity to work on meaningful, high-impact problems, build production-grade machine learning systems, and shape how advanced analytics are used across the business.

To Apply for this Job Click Here

To Apply for this Job Click Here

£40,000-£50,000

Remote (UK) with occasional office visits (RG10)

I’m hiring a Digital Marketing Manager to join a growing B2B eCommerce business and take ownership of paid search performance and SEO direction.

This is a hands‑on, commercially focused role where you’ll be directly responsible for driving revenue, profitability, and lead generation through digital channels.

The role

You’ll lead the business’s performance marketing strategy, with a primary focus on Google Ads, while also coordinating and shaping SEO efforts across the wider digital team.

This role is ideal for someone who wants:

• Ownership of performance channels
• Exposure to wider digital and commercial strategy
• The ability to directly influence revenue and profitability

What you’ll be doing

• Own and optimise paid search strategy (Google Ads) across Search, Shopping and Performance Max
• Drive improvements in ROAS, revenue, and lead generation
• Manage large product catalogues and product feed optimisation
• Lead and coordinate SEO strategy and delivery across the business
• Improve tracking and attribution (GA4, conversion tracking, server‑side)
• Work with CRM and tracking data (Salesforce, Mediahawk) to enhance performance
• Analyse data and communicate clear, commercially focused insights
• Produce performance reporting focused on profitability and growth

What you bring

Must‑haves

• 4+ years’ experience in paid search and SEO
• Experience managing large eCommerce/product catalogues
• Strong understanding of:
  • Search, Shopping & Performance Max
  • Campaign structure and bidding strategies
• Proven track record of improving ROAS and revenue
• Strong data analysis skills (GA4, platform data, performance analysis)
• Ability to optimise for commercial outcomes, not just clicks
• Experience in B2B / trade eCommerce

Nice to have

• Experience with CRM / attribution tools (Salesforce, tracking)
• Understanding of server‑side tracking / advanced attribution

What they’re looking for

• A hands‑on performer, not just a strategist
• Strong commercial mindset – focused on profit and growth
• Someone comfortable owning performance end‑to‑end
• Ability to work autonomously and influence stakeholders

Why this role

• Clear ownership of performance marketing
• Broad exposure across SEO, CRM, and analytics
• Opportunity to influence revenue and growth directly
• Flat, collaborative team structure
• Access to strong tools and technical support

Benefits

• Private medical insurance
• Vitality health plan
• Enhanced parental leave
• 25 days holiday + bank holidays
• Salary sacrifice schemes (EV, pension, childcare)
• Flexible remote working

Interview process

• Initial screening
• Technical/performance discussion
• Final interview

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to join a data-led consumer business where analytics is central to commercial decision-making. You will play an important role in shaping growth strategy across acquisition, product and marketing, partnering closely with senior stakeholders to drive measurable impact.

The Company
They are a high-growth, direct-to-consumer business operating in the subscription space, focused on delivering premium products through a digitally native model. Backed by significant investment, they are scaling rapidly and expanding into new markets. Analytics sits at the core of the organisation, influencing performance across marketing, product and customer experience. The business fosters a high-performance environment where data is used proactively to unlock growth opportunities.

The Role
You will act as a strategic partner to growth, marketing and product teams, using data to inform decisions and identify opportunities. Key responsibilities include:

• Proactively uncover growth opportunities across acquisition, conversion and retention
• Partner with marketing and product teams to influence strategy and prioritisation
• Translate complex business questions into clear analytical frameworks and recommendations
• Analyse performance across funnels, campaigns, experiments and customer lifecycle
• Design and evaluate A B tests and other experiments to measure impact
• Diagnose trends in performance and identify underlying drivers
• Deliver clear, actionable insights that influence commercial decisions
• Support stakeholders in understanding trade-offs between growth, efficiency and profitability
• Help improve data foundations, tracking and reporting capabilities

Your Skills and Experience

• Strong SQL skills and experience working with large datasets
• Experience using a data visualisation tool to communicate insights effectively
• Background in growth, marketing or product analytics within a digitally focused business
• Ability to move beyond reporting into insight generation and recommendation
• Strong commercial awareness and understanding of business performance drivers
• Confident stakeholder management skills, with the ability to influence senior decision-makers
• Proactive mindset, with the ability to work in ambiguity and drive projects forward
• Experience analysing funnels, experiments, campaigns and customer behaviour

What They Offer

• Competitive salary and comprehensive benefits package
• Private health insurance and enhanced pension contributions
• Hybrid working with flexibility and work-from-anywhere options
• Professional development budget to support continued learning
• Generous annual leave allowance with additional entitlement over time
• A collaborative, high-performing culture with clear opportunities for progression

How to Apply
If you are a commercially minded analyst looking to make a tangible impact in a high-growth business, please apply with your CV.

To Apply for this Job Click Here