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Senior/Principal Applied AI Engineer
United States, hybrid or remote. Competitive salary plus benefits.
$150,000 to $205,000 + 15% Bonus

This is an opportunity to take ownership of real, production-grade Generative AI solutions in a highly applied environment. You will work on end-to-end AI delivery, from early prototypes through to scalable deployment, with clear visibility of the impact your work has on customers and internal teams.

The Company
They are a well-established organisation operating in a highly regulated, customer-focused industry. Data and AI are central to their strategy, with significant investment in modern platforms and applied AI capabilities. The business values practical innovation, collaboration, and building technology that delivers measurable outcomes at scale.

The Role
You will be a senior, hands-on contributor within an Applied AI team, responsible for turning GenAI concepts into robust solutions. Key responsibilities include:

• Designing, building, and deploying Generative AI applications across client-facing and internal platforms.
• Developing LLM-powered solutions using prompt engineering, vector databases, and Retrieval-Augmented Generation pipelines.
• Building and owning AI chatbots and conversational agents to production standards, including performance, scalability, and compliance.
• Creating AI agents across digital and voice channels to support real-time interactions.
• Delivering proof-of-concept solutions for use cases such as document understanding, summarisation, and knowledge assistants.
• Optimising model usage, prompts, and parameters to balance accuracy, cost, and reliability.
• Collaborating with product, engineering, data, and external partners to align AI solutions with business priorities.

Your Skills and Experience
You will bring strong, practical experience applying Generative AI in commercial settings, including:

• Advanced Python development skills with modern GenAI and machine learning libraries.
• Hands-on experience with large language models, prompt engineering, and LLM evaluation.
• Proven capability building RAG pipelines and working with vector databases.
• Strong SQL skills and experience working with cloud data platforms.
• Experience delivering production-grade conversational AI or chatbot solutions.
• The ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.
• Comfort working in fast-paced, cross-functional environments.

What They Offer

• Competitive salary and comprehensive benefits package.
• The chance to work on high-impact, enterprise-scale AI products.
• Exposure to a wide range of GenAI use cases, including conversational AI and intelligent automation.
• Clear opportunities for technical growth and influence within a growing Data and AI function.
• A collaborative, supportive culture that values continuous improvement and learning.

How to Apply
If you are an Applied AI Engineer looking to build and deploy meaningful Generative AI solutions, apply now to find out more.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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Head of AI & Machine Learning
$250,000 – $325,000 Base + Equity

Remote, United States. Competitive salary plus equity and benefits.

This is a rare opportunity to define and lead an AI strategy within a high-growth technology environment. You will combine hands-on machine learning expertise with strategic leadership, shaping how advanced AI capabilities drive real-world impact across a sophisticated product suite.

The Company
They are a fast-growing technology business operating within a highly data-driven environment, focused on transforming complex workflows through intelligent automation. Their platform supports large-scale data processing and decision-making for enterprise clients, helping to modernise manual, document-heavy processes. With strong backing and ambitious growth plans, they are investing heavily in AI to enhance product capability and maintain a competitive edge. This role sits at the centre of that transformation.

The Role

• Define and deliver the AI and machine learning strategy, aligning with product and business objectives
• Design, build, and deploy advanced NLP and document intelligence models for extracting and processing unstructured data
• Lead the full ML lifecycle including data ingestion, feature engineering, model development, evaluation, and deployment
• Explore and implement modern AI approaches such as large language models, embeddings, and retrieval augmented systems
• Build, mentor, and scale a high-performing machine learning team
• Collaborate with product and engineering teams to identify high-impact use cases and deliver scalable solutions
• Establish best practices for model monitoring, observability, and performance optimisation
• Provide technical and strategic guidance to senior stakeholders on AI opportunities and risks

Your Skills & Experience

• Strong commercial experience building and deploying machine learning models, particularly within NLP or document intelligence
• Expertise in processing unstructured or semi-structured data into structured outputs
• Proficiency in Python and modern machine learning frameworks such as PyTorch or similar
• Experience deploying models in production environments using cloud platforms and containerised workflows
• Proven ability to lead and develop technical teams while remaining hands-on
• Strong understanding of the full machine learning lifecycle and best practices in model evaluation and monitoring
• Ability to communicate complex technical concepts to a range of stakeholders

What They Offer

• Competitive salary and equity package
• Fully remote working with flexible arrangements
• Comprehensive healthcare and retirement benefits
• Generous holiday allowance and parental leave
• Clear progression path with the opportunity to shape and lead an AI function
• High impact role within a growing, innovation-focused business

How to Apply
If you are interested in leading cutting-edge AI initiatives in a high-growth environment, apply now to learn more.

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AI ENGINEER / ML ENGINEER – APPLIED AI & LLM SYSTEMS

$150,000 – $190,000 BASE SALARY

REMOTE / HYBRID (U.S.)

THE COMPANY

A high-growth technology company building AI-powered solutions to automate complex healthcare data workflows at scale.

• Focused on unstructured clinical and healthcare data transformation
• AI is core to the company’s product and long-term strategy
• Engineering-first culture with strong technical leadership
• Works with large-scale, real-world datasets in regulated environments
• Emphasis on production systems, not experimentation-only AI

THE ROLE

As an AI Engineer / ML Engineer, you’ll design, build, and scale production-grade AI systems focused on document processing, NLP, and LLM-powered workflows.

A deeply technical, hands-on engineering role with high ownership across the full AI lifecycle.

• Build and deploy scalable AI/ML systems using Python and PySpark
• Develop LLM and NLP pipelines for document extraction, structuring, and summarization
• Design and optimize batch pipelines and orchestration workflows (Airflow, Databricks, etc.)
• Productionize AI systems in collaboration with data and platform engineering teams
• Improve performance, latency, reliability, and observability of AI services
• Create evaluation and validation frameworks for model and system quality
• Work with large-scale structured and unstructured datasets
• Contribute to architecture decisions across AI infrastructure and model serving

YOUR SKILLS AND EXPERIENCE

4-10+ years of experience in AI Engineering, ML Engineering, MLOps, or Applied AI

Core Expertise:

• Building and deploying production AI/ML systems
• LLMs, NLP pipelines, or RAG-based systems
• Large-scale data processing and distributed computing

Technical Skills:

• Strong Python engineering background
• PySpark, Spark, Databricks, or similar distributed data tools
• Airflow or equivalent orchestration frameworks
• SQL and data pipeline development
• Experience with AWS, GCP, or Azure
• Monitoring, observability, and system optimization

Additional:

• Experience working with messy, real-world data environments
• Strong problem-solving and systems-thinking mindset
• Ability to own systems end-to-end from design to production

NICE TO HAVE

• Healthcare, clinical, or life sciences experience
• Familiarity with EHR/EMR, claims, or regulated datasets
• Experience with OCR, document parsing, or text extraction pipelines
• Exposure to MLflow, SageMaker, Vertex AI, or model serving frameworks

THE BENEFITS

• $150K – $190K base salary
• Flexible remote / hybrid work options
• High-impact role working on core AI systems
• Strong engineering culture with modern tooling
• Opportunity to shape architecture and technical direction
• Clear growth into senior and staff-level engineering roles

WHY THIS ROLE

This isn’t a research-only or prototype-heavy role-you’ll build AI systems that operate in production at scale.

You’ll work on meaningful, real-world problems where AI directly drives product value, with the opportunity to influence architecture, tooling, and long-term technical strategy.

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Associate Director, Business Intelligence

London (Hybrid, 3 days per week)
Up to £60,000
No sponsorship available

This is an opportunity to take ownership of Business Intelligence capability within a fast scaling, data driven organisation. You will play a key role in shaping how data is translated into commercial insight, working across a variety of client projects while helping to build and mature a growing UK based BI function.

The Company

They are a global media and analytics organisation focused on understanding what drives commercial performance. Operating across multiple international markets, they combine proprietary technology with experimentation and data science to deliver measurable results for clients. Following significant growth, they are investing in expanding their UK data capability, creating an opportunity to influence the direction of the BI function locally.

The Role

• Own the end to end delivery of reporting and dashboarding solutions across client projects
• Assess current BI products and identify opportunities to improve scalability, accuracy, and usability
• Build and enhance dashboards covering performance metrics such as clicks, impressions, and conversions
• Work closely with stakeholders to incorporate broader business data into reporting outputs
• Support onboarding of new client projects and ensure consistent delivery standards
• Contribute to evolving templating and forecasting capabilities within the BI offering
• Mentor and support junior team members while helping to shape best practice across the function

Your Skills and Experience

• Strong commercial experience in Business Intelligence and reporting within a marketing or digital environment
• Advanced dashboarding skills using tools such as Looker Studio or Power BI
• Strong SQL experience with exposure to BigQuery or similar cloud platforms
• Experience working with marketing performance data and building actionable insights
• Ability to manage multiple stakeholders and communicate effectively across technical and non technical audiences
• Interest in applying AI concepts or tools to enhance reporting and analytics workflows
• Experience mentoring or supporting junior talent within a team
• Experience with Looker Studio/Data Studio is a must
• Hands on experience with Power BI

What They Offer

• Salary up to £60,000
• Hybrid working with three days per week in a central London office
• 25 days holiday plus bank holidays and additional leave benefits
• Private healthcare and wellbeing allowance
• Pension contribution and enhanced parental leave options
• Daily meals provided in the office and additional lifestyle benefits
• The opportunity to play a key role in building and shaping a growing BI function

How to Apply

If you are interested in combining technical expertise with stakeholder impact in a growing data environment, please apply with your CV to be considered.

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Junior Manager, Business Intelligence

London, hybrid – 3 days a week in office
Up to £46,000
No sponsorship offered – must be a UK citizen

This is an opportunity to join a fast growing media and analytics business that is investing heavily in its UK data capability. As a Junior Manager within Business Intelligence, you will play a key role in shaping how data is used to drive client performance, working on impactful dashboarding and reporting solutions that influence real business decisions.

The Company

They are a global media and analytics organisation focused on understanding what truly drives commercial performance. With a strong international presence and a reputation for innovation, they combine proprietary tools, experimentation and data science to support client growth.
After building a large data function internationally, they are now investing in a UK based team and looking for individuals who can help establish and scale this capability locally. You will join at an exciting point in their growth journey, with real scope to shape how the function develops.

The Role

You will sit within the Business Intelligence team, supporting the delivery and evolution of reporting and dashboarding solutions across a range of client projects.

• Review existing dashboards and reporting products, identifying opportunities to improve structure, quality and scalability
• Build new dashboards and reporting solutions using tools such as Power BI and Data Studio
• Support onboarding of new client projects, ensuring data flows and reporting frameworks are set up effectively
• Work with marketing performance data including clicks, impressions, conversions and wider business metrics
• Enhance templating approaches and explore more advanced capabilities such as forecasting
• Integrate broader client data sources to deliver more holistic insights
• Deliver high quality, client ready outputs and present insights clearly to stakeholders
• Contribute to the growth of the BI function and support best practice development

Your Skills and Experience

• Strong commercial experience in business intelligence, reporting or analytics within a marketing or digital environment
• Experience with Looker Studio/Data Studio is a must
• Hands on experience with Power BI
• Strong SQL skills and experience working with large datasets, ideally within BigQuery
• Experience working with marketing or performance data and translating this into actionable insight
• Ability to manage multiple projects and stakeholder requests simultaneously
• Clear communication skills, with the ability to present insights to both technical and non technical audiences
• Interest in AI and emerging technologies, with evidence of applying or exploring this in personal or professional projects
• Experience with Python or R is advantageous

What They Offer

• Salary up to £46,000
• Hybrid working with three days per week in a central London office
• 25 days holiday plus bank holidays and additional time off during the festive period
• Private healthcare after probation
• Daily breakfast and lunch provided in the office
• Monthly wellbeing allowance
• Competitive pension scheme
• Enhanced parental leave after qualifying service
• Opportunity to work internationally after one year, subject to location and visa requirements
• Clear progression opportunities as the UK BI function continues to grow

How to Apply

If you are interested in this Junior Manager, Business Intelligence role, please apply with your CV and we will be in touch to discuss the next steps.

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JUNIOR MANAGER, BUSINESS INTELLIGENCE
LONDON/HYBRID
UP TO £46K

This is an opportunity to join a growing Business Intelligence function at a pivotal stage of its development. You will play a key role in shaping how reporting and dashboarding is delivered as the team scales in the UK.

ROLES AND RESPONSIBILITIES:
The Junior Manager of BI wiLL:

• Work with existing dashboards and reporting products, identifying opportunities to improve structure and performance
• Support discovery work to assess current BI setups and implement enhancements
• Build new dashboards across marketing performance metrics including clicks, impressions, and conversions
• Onboard new client projects and deliver tailored reporting solutions
• Improve existing templating approaches and contribute to future capabilities such as forecasting
• Incorporate wider client business data into reporting outputs
• Deliver high-quality, client-ready dashboards
• Collaborate with stakeholders across both technical and non-technical teams

YOUR SKILLS AND EXPERIENCE:

• Strong experience in BI and dashboarding within a marketing or media environment
• Proficiency in Looker/Data Studio
• Wider Power BI experience
• Advanced SQL skills and experience working with BigQuery
• Experience working with marketing performance data and delivering actionable insights
• Interest in AI and its application to reporting and analytics
• Experience managing multiple projects and stakeholder requests
• Clear communication skills with a collaborative approach
• Experience with Python or R would be beneficial

APPLY BELOW

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ASSOCIATE DIRECTOR
LONDON/HYBRID
UP TO £60K

This is a unique opportunity to shape and scale a growing Business Intelligence function within a high-performing media and marketing environment. You will play a key role in elevating how data is used to drive commercial outcomes, working closely with senior stakeholders and influencing the direction of BI across the business.

ROLES AND RESPONSIBILITIES:
The Associate Director will:

• Own and lead the day-to-day delivery of BI products, including dashboards and reporting solutions
• Assess existing reporting frameworks and identify opportunities to enhance structure, scalability, and impact
• Design and build high-quality dashboards across marketing performance metrics such as clicks, impressions, and conversions
• Support onboarding of new client projects, delivering tailored reporting solutions from initial discovery through to deployment
• Develop and improve templating approaches, with scope to introduce more advanced capabilities such as forecasting
• Integrate broader client business data into reporting to provide more holistic insights
• Partner with stakeholders across the business to ensure outputs meet both technical and commercial needs
• Mentor and support junior team members while contributing to the wider growth of the BI function

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience delivering BI and reporting solutions within a marketing or media environment
• Expertise in Looker/Data studio for dashboarding
• Wider experience in Power BI would be beneficial
• Advanced SQL skills, with experience working in platforms such as BigQuery
• Experience working with marketing performance data and building actionable insights from complex datasets
• Confidence managing multiple projects and stakeholders, with clear and effective communication skills
• Demonstrated interest in AI and its application to analytics or reporting workflows
• Experience mentoring or supporting more junior team members
• Additional experience with Python or R would be advantageous

APPLY BELOW!

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Lead Marketing Effectiveness Analyst
London, Hybrid
Salary up to £80,0000

This is a fantastic opportunity to take ownership of marketing effectiveness strategy within a highly data-driven environment. You will sit at the intersection of advanced analytics and commercial decision-making, helping to shape how marketing investment drives business performance.

The Company
They are a forward-thinking organisation with a strong focus on data and experimentation. With a global presence and a collaborative culture, they use advanced analytics and technology to solve complex marketing challenges. Their teams work closely with clients to connect data insights to tangible business outcomes. They are continuing to invest in their analytics capability, making this an exciting time to join.

The Role

• Lead the delivery of marketing mix modelling and broader marketing effectiveness projects from end to end
• Work with advanced modelling techniques to evaluate channel performance and optimise budget allocation
• Translate complex analytical outputs into clear, actionable insights for senior stakeholders
• Partner with commercial and marketing teams to inform strategy and decision-making
• Drive the use of advanced analytics and AI tools to improve modelling efficiency and insight generation
• Contribute to the development of the organisation’s marketing effectiveness capability and best practices
• Support stakeholder engagement at a senior level, presenting insights and recommendations

Your Skills and Experience

• Strong commercial experience in marketing analytics, marketing mix modelling, or econometrics
• Proficiency in Python and experience working with large-scale datasets
• Understanding of modern attribution techniques and statistical modelling approaches
• Experience using tools such as Meridian, Robyn, PyMC, or similar
• Ability to communicate complex analytical concepts to non-technical audiences
• Experience working with cloud platforms such as GCP is beneficial
• A collaborative approach with the ability to influence stakeholders across teams

How to Apply
Please apply with your CV to learn more about this opportunity.

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Junior Marketing Effectiveness Specialist
London, Hybrid
Salary up to £46,000

This is a unique opportunity to join a highly data-driven organisation where advanced analytics directly shapes commercial decision-making. You will work on marketing effectiveness projects that influence how organisations invest and optimise their media spend, with strong exposure to Marketing Mix Modelling and modern data science tools.

The Company
They are a global, analytics-led organisation operating at the intersection of data science, media, and technology. Built on a strong engineering and experimentation culture, they use proprietary tools and advanced modelling techniques to help clients understand what truly drives performance. Their teams are highly collaborative and focused on delivering measurable outcomes. With a presence across multiple regions, they offer exposure to large-scale, complex datasets and a variety of industries.

The Role

• Support the delivery of Marketing Mix Modelling projects, contributing to data preparation, model execution, and scenario analysis
• Work closely with senior stakeholders to produce high-quality, technically robust outputs
• Apply statistical and machine learning techniques to solve real-world marketing and business challenges
• Translate complex model outputs into clear, actionable insights for non-technical audiences
• Leverage AI tools to enhance workflows, improve efficiency, and support documentation and communication
• Contribute to the continuous improvement of data science practices, tools, and processes

Your Skills and Experience

• Strong commercial experience in data science, with exposure to statistical modelling or Marketing Mix Modelling
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution methodologies
• Experience with tools such as Meridian, Robyn, PyMC, or similar modelling frameworks
• Ability to communicate complex technical findings in a clear and structured way
• A detail-oriented mindset with a focus on accuracy and quality in analysis
• Curiosity and motivation to develop skills at the intersection of data science and marketing effectiveness
• Experience using AI tools to improve productivity and outputs is beneficial

How to Apply
If you are interested in applying your data science expertise to high-impact marketing analytics projects, please apply with your CV to learn more.

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About the job

Senior AI Product Manager

San Francisco, CA (Hybrid)

$192-260K base + Equity

We’re partnering with a high-growth enterprise SaaS business that’s investing heavily in AI and looking to hire a Senior AI Product Manager to lead the development of next-generation AI-powered product experiences.

Working at the intersection of Product, Engineering, and AI, you’ll help shape intelligent features that solve complex customer problems, partnering closely with software engineers, AI specialists, and designers to bring cutting-edge AI capabilities into production.

This is an ideal opportunity for someone who enjoys combining product ownership with a strong technical understanding of modern AI technologies.

What you’ll do

• Own the development and delivery of customer-facing AI product experiences from concept through to launch.
• Partner with Engineering, AI, and Design teams to deliver intelligent features powered by large language models and modern AI technologies.
• Define product requirements and user experiences for AI assistants, copilots, and workflow automation capabilities.
• Work closely with engineering teams to translate AI capabilities into intuitive, scalable product experiences.
• Use customer feedback, analytics, and experimentation to continuously improve AI product performance and adoption.
• Champion user-centric product thinking while balancing technical feasibility, business value, and customer impact.
• Help establish best practices for building AI-powered products within a fast-paced, collaborative engineering environment.

What we’re looking for

• Experience delivering modern SaaS products within a technical product management, product engineering, or software engineering environment.
• Strong understanding of AI-powered applications, including LLMs, AI assistants, copilots, RAG, or workflow automation.
• Ability to work closely with engineering teams and confidently discuss technical architecture and AI implementation.
• Experience defining and delivering customer-facing software products from discovery through to release.
• Strong communication and stakeholder management skills, with the ability to align Product, Engineering, and Design around shared objectives.
• Passion for AI, emerging technologies, and creating exceptional customer experiences.
• Previous experience in high-growth SaaS or technology businesses is highly desirable.

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Senior AI Product Engineer

San Francisco, CA (Hybrid)

$192-260K base + Equity

We’re partnering with a high-growth B2B SaaS business that’s investing heavily in AI and looking to hire a Senior AI Product Engineer to help shape the next generation of customer-facing AI experiences across its platform.

This is an opportunity to work at the intersection of product engineering and AI, building intelligent features that solve complex real-world problems. You’ll work closely with AI engineers, product managers, and designers to transform large language models into intuitive, production-ready experiences used by enterprise customers every day.

What you’ll do

• Design and build customer-facing AI features using React, TypeScript, Node.js, and Python.
• Develop AI-powered assistants, copilots, and intelligent workflows that automate complex user tasks.
• Collaborate with AI engineers to integrate LLMs, RAG pipelines, and agentic workflows into production applications.
• Build responsive, reusable frontend components and streaming AI interfaces that deliver exceptional user experiences.
• Apply software engineering best practices across testing, CI/CD, observability, version control, and performance optimisation.
• Partner with Product and Design teams to rapidly iterate on AI features using customer feedback and usage data.
• Help define engineering standards and reusable patterns for building scalable AI-powered applications.

What we’re looking for

• 7+ years’ experience building modern full-stack web applications within high-growth SaaS or technology businesses.
• Strong commercial experience with React, TypeScript, and modern frontend development, alongside backend development using Node.js and/or Python.
• Hands-on experience building production AI applications using LLM APIs such as OpenAI, Anthropic, or similar.
• Experience delivering customer-facing AI products, including copilots, AI assistants, intelligent search, chat interfaces, or workflow automation.
• Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration frameworks.
• Strong understanding of software engineering best practices, including testing, CI/CD, scalable architecture, and observability.
• Excellent communication skills and a product mindset, with the ability to work collaboratively across Engineering, Product, and Design teams.

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