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ANALYTICS MANAGER
£45,000-£55,000
HYBRID – LONDON (3 DAYS A WEEK)

Please note, this company is unable to offer sponsorship at this time and you must be a UK resident.

THE COMPANY

This fast-paced digital agency works with some of the most exciting names in Hospitality, Travel, Food & Drink, and Entertainment. With a culture built around creativity, collaboration, and performance, they help brands convert digital attention into real-world results. You’ll join a friendly, vibrant office in Angel, complete with regular socials, snacks, and a strong sense of team.

THE ROLE

This is a lead role within the Performance team, owning the analytics function across a range of digital clients. You’ll work closely with specialists in SEO, paid media, CRO, and CRM to deliver clear, actionable insights that drive business decisions.

You’ll manage tracking plans, set up GTM containers, and ensure analytics data is accurate and accessible across dashboards and platforms. You’ll also collaborate directly with clients, presenting insights and leading analytics discussions with confidence.

There’s one offshore analytics specialist reporting into this role, and you’ll have plenty of support from senior stakeholders – but this is your chance to take real ownership of analytics strategy and delivery.

DAY TO DAY

• Lead analytics for multiple digital clients

• GTM setup, tagging, and tracking implementation

• Build and maintain dashboards (e.g., Looker Studio)

• Manage analytics accounts, data accuracy, and reporting

• Analyse performance data and produce strategic insights

• Present insights to clients and internal teams

• Line manage one offshore analytics team member

• Collaborate across performance and creative teams

Rough split: 75% technical work / 25% client-facing

SKILLS + EXPERIENCE

Must haves:

• Solid Google Tag Manager experience

• Proven track record in data analysis and reporting

• Experience managing dashboards (e.g., Looker Studio)

• Confident presenting data-driven insights to clients

• Comfortable working in a fast-paced agency environment

Nice to have:

• BigQuery experience (roughly 10% of the role)

• Prior experience leading analytics projects or managing people

• Understanding of paid media and digital marketing strategy

HOW TO APPLY

If this sounds like the right next step in your analytics career, send your CV over using the link below.

KEY TERMS
GTM, Google Tag Manager, Looker Studio, BigQuery, Google Analytics, GA4, Analytics Manager, Digital Agency, Hospitality, Travel, Paid Media, SEO, CRM, CRO, Strategy, Dashboards, Reporting, Data Analysis, Tagging, Tag Implementation, Web Analytics, Insight, Client-Facing, Marketing Analytics, Performance Marketing

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Director, Applied Research – Corporates Tax & Trade
Location: Flexible / Remote (US)
Compensation: $300,000 to $350,000 base salary + performance bonus + comprehensive benefits ($500,000 to $570,000 total)

ABOUT THE COMPANY

We’re partnered with a market-leading enterprise operating at the intersection of AI, compliance, and enterprise software. Their suite of corporate tax and trade products supports global organizations across industries like retail, technology, and pharma. With a strong focus on intelligent automation and applied AI, they have recently launched innovative tools such as AI assistants and product classification engines, paving the way for a new era of compliance decision-making. This role offers the chance to shape the direction of enterprise AI with tangible, global impact.

THE ROLE

As Director of Applied Research for Corporates Tax & Trade, you will lead a high-performing team of over 20 applied scientists and research engineers. You will oversee end-to-end delivery of AI solutions that power mission-critical compliance tools while continuously driving innovation across the product ecosystem.

Key Responsibilities:

• Leadership and Team Development: Inspire, coach, and scale a top-tier applied research team. Set clear goals and foster a collaborative, high-performance culture.

• AI Product Innovation: Lead the development and deployment of advanced machine learning models powering AI assistants, product classification tools, and other intelligent features.

• Strategic Delivery: Oversee the model development lifecycle from discovery to production across multiple major enterprise product lines.

• Innovation Vision: Drive the strategic roadmap for the next generation of AI-powered compliance solutions, including proactive decision support tools.

• Cross-Functional Collaboration: Work closely with leaders in product, engineering, UX, editorial, and marketing to align research efforts with business priorities.

• Stakeholder Engagement: Represent the team’s work in internal and external forums, including customer sessions and industry events.

• Portfolio Oversight: Manage R&D budgets, staffing allocation, and project prioritization for maximum strategic impact.

• Mentorship: Develop technical leaders and foster a growth-oriented, mission-driven team environment.

YOUR SKILLS AND EXPERIENCE

We are looking for a visionary AI leader who combines deep technical expertise with exceptional leadership and delivery skills:

• 10 or more years of hands-on experience developing and deploying commercial AI/NLP systems

• 5 or more years of experience managing and scaling high-performing research teams

• PhD (preferred) or Master’s degree in Computer Science, AI, NLP, or a related field

• Extensive experience with LLMs, including agentic architectures and retrieval-augmented generation (RAG)

• Proven success bringing ML-based features into production within complex enterprise environments

• Deep knowledge of AWS-based ML infrastructure and end-to-end MLOps practices

• Strong record of customer-focused delivery and collaboration with cross-functional stakeholders

• Track record of applied innovation; publication history in top venues such as ACL, EMNLP, NeurIPS, ICML, or ICLR is a strong plus

• Exceptional communication, stakeholder management, and strategic planning skills

THE BENEFITS

• Base salary of $220,000 to $260,000 plus performance bonus

• Drive enterprise AI innovation with real-world, global use cases

• Work from anywhere in the U.S.

• Comprehensive benefits including health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

AI Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $180,000 – $220,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer – Recommendation & Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: $600,000 – $1,500,000 total package

(Base Salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

Join a hyper-growth global e-commerce innovator that’s reshaping how businesses deliver real-time, personalized experiences at the point of purchase. Leveraging cutting-edge AI and ML at massive scale, this organization is building the future of intelligent commerce-and you could be a key part of it.

With explosive growth, a high-caliber team, and a tech-first culture, this is a unique opportunity to drive meaningful impact in a fast-paced, data-driven environment.

THE ROLE

As a Principal Machine Learning Engineer, you’ll drive the design and deployment of large-scale, intelligent decision-making systems. From personalized recommendations to smart bidding and real-time optimization, your work will directly influence millions of transactions and customer experiences daily.

You’ll collaborate closely with product and engineering partners to build ML solutions that are both cutting-edge and production-ready.

Key Focus Areas:

• Smart bidding and budget pacing algorithms
• Real-time recommendation engines
• Lookalike modeling and customer targeting
• CTR/CVR modeling and conversion optimization

Responsibilities:

• Architect and deploy end-to-end ML solutions at scale
• Develop robust data pipelines, feature stores, and orchestration frameworks
• Build high-performance, production-grade ML models (batch & real-time)
• Lead experimentation (offline & online), including A/B testing and model tuning
• Drive engineering excellence with well-tested, maintainable, scalable code
• Mentor team members and contribute to a culture of technical growth

YOUR SKILLS & EXPERIENCE

• PhD or Master’s degree in Machine Learning, Computer Science, or a related field
• 10+ years of hands-on experience building production ML systems at scale
• Expertise in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow, Airflow)
• Deep knowledge of at least two of the following:
• Bayesian methods
• Recommender systems
• Multi-task or meta-learning
• CTR/CVR prediction models

Bonus: Experience with advanced model architectures like Deep & Cross Network v2, Multi-gate Mixture-of-Experts, or Deep & Wide Networks.

BENEFITS

• Significant equity in a high-growth tech company
• Premium, fully covered health insurance (you + family)
• 401(k) with 4% dollar-for-dollar match
• Catered lunches and daily snacks
• Global travel opportunities
• Inclusive, collaborative culture with a strong focus on innovation, diversity, and impact

✅ HOW TO APPLY

Ready to solve real-world problems at scale and push the boundaries of applied machine learning? Apply now to speak with one of our specialist recruiters and learn more about this high-impact opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Machine Learning Engineer – Recommendation / Relevancy

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $1,500,000

(Base salary: $360,000-$400,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

• Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
• Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
• Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
• Explore and prototype state-of-the-art models, conducting both offline and online experiments.
• Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

• PhD or Master’s in Machine Learning or a related field
• 10+ years of industry experience building end-to-end production ML systems
• Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
• Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
• Bonus: Familiarity with architectures such as Deep & Cross Network v2, Multi-gate Mixture-of-Experts, Deep & Wide

BENEFITS

• Equity in a high-growth business
• Premium, fully covered health insurance for you and your family
• 401(k) with 4% dollar-for-dollar match
• Catered lunch and snacks daily
• Global travel opportunities
• Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Multimodal Engineer (Visual Language Model & Object Detection)

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Computer Vision Engineer

REMOTE – US

$200,000 – $250,000 + Equity + Benefits

Are you passionate about building cutting-edge AI solutions that solve real-world challenges? A rapidly scaling Series A startup is looking for a Senior Computer Vision Engineer to join their elite engineering team and transform one of the world’s oldest and most foundational industries!

Backed by top-tier VCs and already working with Fortune 500 clients, this is a rare opportunity to join a technically ambitious and mission-driven company at a critical stage of growth. With a team of experts they’re combining advanced ML, computer vision, and multi-modal AI to automate some of the most complex and manual workflows in the construction world.

THE COMPANY

This AI startup is pioneering intelligent automation across the construction lifecycle-from blueprint analysis to jobsite monitoring leveraging computer vision to bring previously untapped data to life. With $30M in funding and a growing team of 50+ employees, including 20+ engineers, they’re launching a suite of AI agents that tackle challenges in:

• Image understanding
• Document intelligence
• Visual Q&A
• Multi-modal reasoning

They’re reimagining how visual and spatial data is used on-site and across operations, using AI to drive accuracy, speed, and cost efficiency.

THE ROLE

As a Senior Computer Vision Engineer, you’ll take ownership of designing, building, and deploying CV models that process and interpret a wide range of visual data.

You’ll be instrumental in shaping the company’s AI roadmap and embedding sophisticated visual understanding into production-ready tools used by field and office teams alike.

You will:

• Develop, train, and deploy CV models for object detection, image classification, segmentation, and more
• Design scalable ML pipelines to support model training, evaluation, and integration
• Work with proprietary datasets and define efficient labeling strategies to improve model performance
• Collaborate cross-functionally with ML, backend, and product teams to build user-centric solutions
• Apply state-of-the-art CV research, including visual transformers and multi-modal learning techniques, to production use cases
• Stay up to date with innovations in LLMs, RAG pipelines, and vision-language models, contributing where appropriate

YOUR SKILLS & EXPERIENCE

We’re looking for a CV engineer who brings both depth in technical knowledge and a builder’s mindset.

Must-haves:

• MS or PhD in Computer Science, Computer Vision, Robotics, or a related field
• 5+ years of experience building and deploying computer vision systems in production
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, and OpenCV
• Deep understanding of image processing, feature extraction, and model evaluation techniques
• Hands-on experience with transformer-based CV models (e.g., ViT, DINO, SAM) and/or multi-modal architectures

Bonus skills:

• Exposure to LLM-based systems or Retrieval-Augmented Generation (RAG) pipelines
• Experience working with blueprints, schematics, or construction-specific datasets

BENEFITS & CULTURE

• Highly competitive salary ($200K-$250K) + meaningful equity package
• Fully remote flexibility across the US, with optional hybrid setups in NYC
• Comprehensive health benefits, medical, dental, vision (100% covered plan available)
• Unlimited PTO to support work-life balance
• Annual learning & development budget to fuel your growth
• Frequent team offsites, meetups, and daily in-office lunches (NYC)
• Work with an exceptionally talented and collaborative team solving challenging technical problems

READY TO APPLY?

If you’re excited about shaping the future of AI-driven automation in construction, we want to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist

Healthcare | Human Behaviour | Predictive ML

Washington, D.C. | Hybrid (Tues & Thurs in-office)

Up to $140,000 + Equity + Benefits

Are you passionate about applying machine learning to real-world healthcare challenges? Want to help decode why patients behave the way they do, and use that to improve health outcomes at scale?

Harnham is working with a mission-driven, human-centric AI company using cutting-edge behavioural data and predictive modelling to transform healthcare delivery. Their proprietary platform delivers deep insight into what drives patient decisions, and they’re looking for a Senior Data Scientist to lead the next evolution of this powerful asset.

THE ROLE

As a Senior Data Scientist, you’ll own the development of their flagship socio-behavioural data product – refining large-scale ML models, integrating new datasets (including geospatial data), and leading scientific validation. You’ll collaborate across Product, R&D, and Client teams to embed behavioural intelligence into pharma solutions that drive real-world impact.

This is a high-impact, strategic role in a fast-paced, purpose-led start-up environment.

YOUR RESPONSIBILITIES

• Lead the ML development and validation of a large-scale socio-behavioural data product
• Build and optimize hundreds of models using Python and Databricks
• Identify and integrate novel data sources to enrich behavioural insights
• Collaborate cross-functionally to bring insights into real-world pharma use cases
• Ensure fairness and scientific rigour in all models, especially across diverse populations

YOUR SKILLS

• 5+ years of experience building ML models using large healthcare or behavioural datasets
• Expert-level Python and strong Databricks proficiency
• Deep interest in behavioural science and its impact on health outcomes
• Strong technical voice with a hands-on approach to scalable data science
• Thrives in a collaborative, entrepreneurial setting

WHAT’S ON OFFER?

• Up to $140,000 base + Equity
• Unlimited PTO + 11 holidays
• 401k employer match
• Hybrid working: 2 days/week in D.C. office

If you are interested, Apply!

To Apply for this Job Click Here

To Apply for this Job Click Here

Machine Learning Engineer

Healthcare | Human Behaviour | Predictive ML

Washington, D.C. | Hybrid (Tues & Thurs in-office)

Up to $140,000 + Equity + Benefits

Are you passionate about applying machine learning to real-world healthcare challenges? Want to help decode why patients behave the way they do, and use that to improve health outcomes at scale?

Harnham is working with a mission-driven, human-centric AI company using cutting-edge behavioural data and predictive modelling to transform healthcare delivery. Their proprietary platform delivers deep insight into what drives patient decisions, and they’re looking for a Senior Data Scientist/MLE to lead the next evolution of this powerful asset.

THE ROLE

As a Senior Data Scientist/MLE, you’ll own the development of their flagship socio-behavioural data product – refining large-scale ML models, integrating new datasets (including geospatial data), and leading scientific validation. You’ll collaborate across Product, R&D, and Client teams to embed behavioural intelligence into pharma solutions that drive real-world impact.

This is a high-impact, strategic role in a fast-paced, purpose-led start-up environment.

YOUR RESPONSIBILITIES

• Lead the ML development and validation of a large-scale socio-behavioural data product
• Build and optimize hundreds of models using Python and Databricks
• Identify and integrate novel data sources to enrich behavioural insights
• Collaborate cross-functionally to bring insights into real-world pharma use cases
• Ensure fairness and scientific rigour in all models, especially across diverse populations

YOUR SKILLS

• 5+ years of experience building ML models using large healthcare or behavioural datasets
• Expert-level Python and strong Databricks proficiency
• Deep interest in behavioural science and its impact on health outcomes
• Strong technical voice with a hands-on approach to scalable data science
• Thrives in a collaborative, entrepreneurial setting

WHAT’S ON OFFER?

• Up to $140,000 base + Equity
• Unlimited PTO + 11 holidays
• 401k employer match
• Hybrid working: 2 days/week in D.C. office

If you are interested, Apply!

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Lead – Digital Agency | £45-55k | Hybrid (3 Days in London Office)

We’re looking for an experienced Analytics Lead to join a fast-paced, creative digital agency based in London . This is a fantastic opportunity for someone ready to take ownership of analytics strategy across a diverse range of digital clients in sectors like hospitality, travel, and entertainment.

The Role:

• Own and lead analytics across multiple client projects

• Manage tracking, tagging, and dashboard reporting (GTM, GA4, Looker Studio)

• Provide actionable insights that drive business and marketing decisions

• Collaborate closely with internal performance, paid media, and creative teams

• Line manage one offshore analytics specialist

• Roughly 75% hands-on technical / 25% client-facing

About You:

• Strong experience in digital analytics (GTM, GA4, Looker Studio essential)

• Confident communicator with client-facing experience

• Comfortable working autonomously and leading on strategy

• Ready to step into a leadership role and drive analytics forward

Why Apply:

• Join a vibrant, social, and creative team environment

• Take full ownership of analytics within a supportive structure

• Central London office with hybrid flexibility (3 days onsite)

• Great perks including wellness budget, 25 days’ holiday & regular team events

Salary: £45,000-£55,000
Start: Ideally before mid-September (open to notice periods)

Sound like the right next step? Get in touch – interviews are moving quickly.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Linux Engineer

The Hague, hybrid

Up to 80k

About the Company

A well-established telecom provider serving both mobile and fiber customers across the Netherlands. With a people-first mindset and a progressive product offering, they’re reshaping the way telecom services are delivered. Their inclusive culture and focus on innovation make them a standout in the Dutch tech landscape.

The Role

Join a dynamic Linux/Unix team driving continuous improvement across infrastructure and automation. You’ll be responsible for managing and modernising critical systems, supporting platform scalability, and ensuring smooth operations while contributing to infrastructure evolution and lifecycle management.

Responsibilities

• Maintain and improve Linux systems and infrastructure
• Drive automation and implement new technologies
• Support internal teams with infra delivery and improvements
• Manage lifecycle of systems and software
• Work on infrastructure projects from planning to completion

Skills & Experience

• 5-7 years’ experience as a Linux Engineer or Administrator
• Strong scripting skills (Bash, Python, GoLang, etc.)
• Experience with Puppet, CI/CD, Git, and configuration tools
• Knowledge of container technologies (Docker, Kubernetes, OpenShift)
• Familiar with networking basics, security protocols, and services like Apache, MySQL, Redis

Apply now if you’re interested and based in the Netherlands.

To Apply for this Job Click Here