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London | £80,000-90,000
This is an opportunity to join a growing digital and analytics consulting team delivering high-impact machine learning and AI solutions for some of the UK’s most complex operational challenges. You’ll work closely with senior stakeholders, helping organisations move beyond proof of concepts and embed data science into real-world decision-making.

The Company
They are an established consultancy that partners with organisations across both public and private sectors to deliver measurable business outcomes. Their work focuses on solving complex operational challenges through data, analytics, AI, and digital transformation. As their digital capability continues to expand, they are seeking experienced Data Scientists who can combine technical expertise with strong stakeholder engagement.

The Role

• Design and deliver machine learning, advanced analytics, and AI solutions for a wide range of client challenges
• Build production-ready data science solutions that create measurable operational and commercial impact
• Work directly with senior stakeholders to identify opportunities where data and AI can drive value
• Lead technical workstreams across client engagements, from discovery through to implementation
• Translate complex analytical findings into clear and actionable recommendations
• Mentor colleagues and contribute to data science best practices across the wider team
• Stay current with developments in AI, machine learning, and analytics to bring innovative approaches to client projects

Your Skills & Experience

• Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics
• Advanced Python skills and experience building end-to-end analytical solutions
• Experience taking models and analytical products from concept through to deployment
• Exposure to modern AI technologies, including LLMs and generative AI applications
• Strong stakeholder management and communication skills
• Experience working within consulting, client-facing, or cross-functional environments
• Ability to manage multiple priorities and deliver solutions in fast-paced project settings

How to Apply
If you’re interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration.

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Senior ML Engineer
London | £95,000

This is an opportunity to join a growing Machine Learning team focused on building scalable, production-grade solutions that solve complex real-world problems. Working within a greenfield environment, you’ll have the chance to shape ML systems from the ground up while delivering measurable impact across a high-volume platform.

The Company
They are a global technology business operating at significant scale, processing billions of transactions and interactions each year. The business is continuing to invest heavily in Data Science, Machine Learning, and automation, with a particular focus on building intelligent products that improve operational efficiency and customer outcomes. Their teams combine strong engineering principles with cutting-edge machine learning to deliver solutions used worldwide.

The Role

• Build and deploy production machine learning models that support large-scale automation and decision-making
• Design and optimise data pipelines, backend services, and ML infrastructure
• Develop and maintain feature stores and model-serving capabilities for real-time and batch use cases
• Take ownership of projects from problem definition through to production deployment and monitoring
• Work with structured and unstructured data to solve complex business challenges
• Collaborate with Data Scientists, Software Engineers, and Product teams to deliver scalable solutions
• Contribute to the development of greenfield machine learning products and capabilities
• Drive best practices across MLOps, monitoring, observability, and model lifecycle management

Your Skills & Experience

• Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps
• Experience deploying, monitoring, and maintaining machine learning models in production environments
• Strong SQL and data engineering capabilities, with experience working on large-scale datasets
• Interest in AI technologies, including NLP, Computer Vision, LLMs, or Generative AI applications
• Experience building scalable data pipelines and ML systems
• Strong communication skills and the ability to work effectively across technical and non-technical teams

How to Apply
If you’re interested in this ML Engineer opportunity, please apply with your CV for immediate consideration.

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Senior / Staff Analytics Engineer

Location: Costa Mesa, CA | Onsite

Compensation: $175-215k + Equity

Employment Type: Full-Time

About the Opportunity

We’re partnering with a rapidly growing technology company at the forefront of autonomous systems, advanced engineering, AI, and next-generation manufacturing.

The organization is seeking Senior and Staff Analytics Engineers to join its high-performing data team, building scalable data products and automated solutions that drive real-world operational impact.

This is not a traditional dashboard or reporting-focused role. You’ll work on complex technical challenges across manufacturing, supply chain, product telemetry, and enterprise operations, with significant ownership and the opportunity to influence how the business operates.

What You’ll Do

• Data Engineering & Modeling: Design and develop scalable data models, pipelines, and systems supporting complex operational requirements.
• Technical Development: Use advanced SQL and Python to build robust data products, applications, and automated workflows.
• Architecture & Systems Design: Evaluate technical tradeoffs and contribute to scalable data architecture and distributed systems.
• Operational Impact: Develop solutions that improve efficiency, automate processes, and support data-driven decision-making.
• Cross-Functional Collaboration: Partner with engineering, manufacturing, finance, and supply chain teams to solve complex business challenges.
• End-to-End Ownership: Lead projects from problem discovery and technical design through implementation and optimization.

What We’re Looking For

• 6+ years of experience in analytics engineering, data engineering, or related technical roles; 8-10+ years typically expected for Staff-level consideration.
• Advanced proficiency in SQL and Python.
• Strong foundation in data modeling, including dimensional and entity modeling.
• Understanding of data architecture, distributed systems, and technical tradeoffs.
• Experience building scalable data products, pipelines, or automated operational workflows.
• Proven ability to own technical initiatives and collaborate with cross-functional stakeholders.
• Strong problem-solving skills, intellectual curiosity, and comfort working in ambiguous environments.

Nice to Have

• Experience in manufacturing, robotics, autonomous systems, hardware, or industrial technology.
• Exposure to telemetry, sensor data, or real-time data processing.
• Familiarity with dbt or similar transformation tools.
• Bachelor’s degree in Engineering, Computer Science, or a related field.

Why Join?

• Work on high-impact, real-world engineering challenges with tangible operational outcomes.
• Join a highly technical, collaborative team solving complex data problems.
• Take ownership of meaningful projects with opportunities for technical growth.
• Competitive compensation, equity, and potential relocation assistance.

Work Authorization: U.S. citizenship or lawful permanent residency required.

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Applied AI Researcher (Generative AI & Dataset Strategy)
$300,000-$500,000

Overview

A rapidly growing technology organisation is seeking an Applied AI Researcher to bridge the gap between cutting-edge generative AI research and large-scale data development. The successful candidate will assess the strengths and weaknesses of state-of-the-art image and video generation models and determine how targeted datasets can be designed to improve model performance.
This role is ideal for a researcher with hands-on experience building or working with generative AI systems who also understands the critical relationship between training data quality, composition, and model outcomes. While the position is not responsible for training production models, it plays a key role in defining the data needed to advance them.

Key Responsibilities

• Evaluate emerging generative AI models, research publications, technical reports, and new architectural approaches.
• Identify performance limitations in image and video generation systems and determine the data needed to address those shortcomings.
• Design dataset strategies, including structure, taxonomy, metadata standards, annotation requirements, and quality controls.
• Translate research insights into actionable specifications for product and data teams.
• Partner with commercial stakeholders to understand market demands and customer requirements.
• Collaborate with technical researchers and external AI partners on data-related initiatives.
• Support dataset development efforts from concept through delivery, including operational planning and execution.
• Balance strategic research activities with practical dataset design and implementation work.

Required Qualifications

• 2+ years of relevant experience in machine learning, computer vision, generative AI, or related fields.
• Hands-on experience developing, training, evaluating, or contributing to generative AI or foundation models.
• Strong understanding of how dataset composition and quality impact model performance.
• Direct experience with image-generation technologies; exposure to video-generation systems is highly desirable.
• Knowledge of model evaluation methodologies, error analysis, and dataset design principles.
• Ability to read and interpret research papers and convert findings into practical solutions.
• Strong communication and stakeholder management skills.
• Experience working across research, product, and business functions.

Preferred Qualifications

• PhD in Computer Science, Computer Vision, Machine Learning, or a closely related discipline.
• Experience within organisations developing advanced generative AI systems.
• Background in visual AI domains such as image generation, video generation, synthetic data, or multimodal systems.
• Applied research experience with a track record of delivering business-impacting outcomes rather than solely academic publications.

Ideal Candidate Profile

Candidates may come from:

• Generative AI research teams focused on visual content generation.
• Applied research or research engineering environments working directly with foundation models.
• Computer vision organisations developing production AI systems.
• Academic research backgrounds with demonstrated experience translating research into real-world applications.

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Senior Analyst, Marketing Science
London | Hybrid (3 days in office) | £60,000 – £75,000
This is an excellent opportunity for a Senior Analyst to join a leading customer experience and marketing consultancy where data plays a central role in shaping customer engagement and business strategy. You will work across a variety of analytics projects, partnering with well-known brands to deliver meaningful insights and measurable commercial outcomes.
The Company
They are a specialist consultancy focused on helping organisations better understand their customers through data, analytics, and marketing science. Their analytics function combines customer insight, digital analytics, measurement, and data strategy to support smarter decision-making. The team operates in a collaborative, project-based environment and offers strong opportunities for professional development and internal mobility.
The Role

• Deliver campaign performance analysis and marketing effectiveness reporting
• Generate actionable insights from customer, web, and digital data
• Analyse customer journeys to identify opportunities for optimisation
• Use analytics platforms such as GA4 and similar tools to answer business questions
• Build, maintain, and enhance reporting solutions and dashboards
• Support tagging, tracking, and data collection initiatives alongside technical teams
• Present insights and recommendations to stakeholders and clients
• Contribute to analytics roadmaps and wider account growth initiatives
• Mentor junior analysts and support delivery across projects
• Collaborate with strategy, technology, and data teams in an agile environment

Your Skills & Experience

• Strong commercial experience in marketing analytics, digital analytics, or customer analytics within an agency or consultancy environment
• Proficiency in SQL and/or Python
• Experience with analytics platforms such as GA4, Adobe Analytics, Sprinklr, or similar tools
• Ability to translate complex data into clear business recommendations
• Experience building reports, dashboards, and visualisations for stakeholders
• Knowledge of campaign measurement, customer journey analysis, and marketing performance
• Strong stakeholder management and client-facing communication skills
• Experience supporting or guiding more junior analysts
• Understanding of data governance, privacy regulations, and responsible data use

What They Offer

• Salary of £60,000 – £75,000
• Hybrid working model
• Exposure to a broad range of analytics, customer insight, and marketing science projects
• Opportunities to work across different client accounts and specialisms
• Clear progression opportunities and ongoing professional development
• Collaborative culture with opportunities to mentor and develop others
• Exposure to emerging analytics capabilities, including AI-driven insight projects

How to Apply
If you are interested feel free to apply below.

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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

$160,000 – $180,000 Base Salary + Bonus

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

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Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

Specifically, you can expect to be involved in the following:

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

Specifically, you can expect to be involved in the following:

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

Specifically, you can expect to be involved in the following:

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Scientist, MMM

£70,000 – £90,000

Fully Remote

This is an opportunity to take ownership of marketing measurement within a growing, data-driven consumer marketplace. With significant investment planned across acquisition channels, you’ll play a pivotal role in understanding what genuinely drives growth and where marketing spend can deliver the greatest commercial impact.

THE COMPANY

They are a fast-growing online marketplace operating within the travel and experiences sector, connecting customers with unique experiences through a network of independent partners. The business has built a strong brand, operates with a purpose-led mindset, and combines commercial growth with a commitment to supporting local communities and sustainable business practices. Their data team is lean, highly collaborative, and empowers individuals to own meaningful work. You will have direct exposure to senior stakeholders and the opportunity to influence business decisions through data science, experimentation, and modelling.

THE ROLE

As a Senior Data Scientist, you will own the organisation’s marketing measurement capability and help shape how acquisition budgets are allocated.

Specifically, you can expect to be involved in the following:

• Owning and developing the Marketing Mix Modelling (MMM) framework to evaluate channel performance, saturation points, and marginal acquisition costs
• Designing and measuring incrementality experiments including conversion lift studies, holdout testing, and geo-based experiments
• Improving marketing attribution and conversion signal quality in an evolving privacy landscape
• Building and owning Customer Lifetime Value (LTV) models to support bidding strategies, forecasting, and long-term growth decisions
• Translating complex statistical outputs into commercially actionable recommendations for marketing stakeholders
• Working closely with performance marketing teams to optimise budget allocation and acquisition efficiency
• Using AI-powered tools and workflows to accelerate analysis, experimentation, and insight generation
• Contributing to experimentation standards and best practices across the wider data function

SKILLS AND EXPERIENCE

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience in Marketing Mix Modelling, incrementality testing, geo experiments, or marketing measurement
• Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, power calculations, and experimental design
• Advanced SQL and Python skills for analysis and modelling
• Experience working with modern data platforms such as Snowflake, dbt, and cloud-based analytics environments
• Understanding of digital marketing, attribution methodologies, paid media platforms, and privacy-related measurement challenges
• Ability to communicate complex findings clearly to both technical and non-technical audiences
• Experience building or supporting Customer Lifetime Value modelling is highly desirable
• Confidence leveraging AI tools as part of a modern analytics workflow

BENEFITS

The successful Senior Data Scientist will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience
• Fully remote working within the UK
• 38 days annual leave including public holidays

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Marketing Effectiveness Manager

£80,000 – £90,000

United Kingdom – Fully Remote

If you’re passionate about proving what marketing spend really delivers and influencing strategic budget decisions through data, this is a unique opportunity to take ownership of a business-critical marketing measurement function. You’ll combine advanced analytics, experimentation, causal inference, and AI-driven ways of working to help shape commercial growth at scale.

The Company
This growing digital business operates in a highly data-driven environment where analytics is central to decision making. Their product has an engaged customer base, strong market traction, and ambitious growth plans.
The data team works closely with commercial stakeholders, giving analytics professionals a genuine seat at the table. You’ll join a collaborative and remote-first culture that values experimentation, curiosity, and rigorous thinking.

The Role
As a Lead Marketing Effectiveness Manager, you will be responsible for measuring marketing impact and helping stakeholders understand where investment drives the greatest return.
Responsibilities include:

• Own and develop the company’s Marketing Mix Modelling (MMM) capability using modern frameworks and methodologies
• Deliver clear recommendations on budget allocation, channel investment, and marketing efficiency
• Design and evaluate incrementality testing programmes across paid media and CRM channels
• Apply causal inference techniques including lift testing, geo-based experimentation, and holdout analysis
• Build and maintain customer lifetime value (LTV) models to support acquisition and retention decision making
• Partner closely with marketing teams to improve attribution, measurement, and performance reporting
• Translate complex analytical findings into actionable commercial recommendations
• Use AI-enabled approaches to accelerate experimentation, analysis, and insight generation while maintaining high analytical standards
• Act as a trusted expert on marketing effectiveness across the wider business

Your Skills & Experience

• Strong commercial experience in marketing measurement, marketing analytics, or growth analytics
• Hands-on experience with Marketing Mix Modelling, experimentation, incrementality testing, or causal inference methods
• Excellent understanding of statistical analysis, hypothesis testing, regression techniques, and experimental design
• Advanced SQL skills and strong Python capabilities for analytics and modelling
• Experience working with modern data platforms such as Snowflake, dbt, or equivalent cloud-based technologies
• Understanding of digital marketing platforms and attribution challenges across channels
• Experience building predictive, lifetime value, or customer-focused analytical models
• Ability to influence stakeholders and communicate technical concepts to non-technical audiences
• Comfortable working in a fast-paced, highly collaborative environment

What They Offer

• £70,000 – £90,000 salary dependent on experience
• Annual performance-related bonus
• Fully remote UK-based working
• Flexible working arrangements
• Private healthcare
• Enhanced pension contribution
• Generous annual leave allowance
• Remote working and home office support
• Structured opportunities to influence business strategy and shape marketing effectiveness capabilities
• A collaborative environment with strong opportunities for professional growth

How to Apply
Apply now to learn more about this Lead Marketing Effectiveness Manager opportunity and how you can make a direct impact on marketing strategy through advanced analytics, experimentation, and data science.

To Apply for this Job Click Here

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Title: Staff AI Engineer

Location: San Francisco, CA (Hybrid)

Compensation: Up to $280,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 10+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

To Apply for this Job Click Here