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Applied AI Researcher (Generative AI & Dataset Strategy)

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.

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Agentic AI Software Engineer

Overview

We’re partnering with an organisation investing heavily in AI-driven products and intelligent automation. This position is ideal for a software engineer who began their career in full-stack development and has since specialised in designing, building, and deploying AI agents in production environments.
This is not an AI-assisted coding role. We are seeking someone who has personally built and deployed AI agents, agent orchestration frameworks, and agentic workflows that interact with enterprise systems, APIs, and business processes.
The successful candidate will become the primary builder of AI agents within a growing AI engineering function, delivering high-value initiatives and shaping the future of enterprise AI capabilities.

Compensation, Location & Logistics

• Salary: Up to $180,000
• Bonus: Up to 15% annual bonus
• Relocation Assistance: $10,000 relocation package available
• Work Model: Hybrid
• Location: Houston, TX
• Office Requirement: 4 days per week on-site
• Remote Flexibility: Candidates outside a 50-mile radius may be eligible for a reduced on-site requirement of approximately 4 days per month
• Sponsorship: Not available

Interview Process

1. Initial recruiter screening
2. Online technical assessment
   • Coding evaluation
   • LLM and AI fundamentals assessment
3. Technical interview with AI Engineering leadership
   • Deep dive into agent architecture, product delivery, and real-world use cases
4. Final on-site panel interview with technical and business stakeholders

What We’re Looking For

Essential Background

• Minimum 3+ years of full-stack software engineering experience
• Minimum 3+ years of hands-on AI agent development experience
• Strong track record building and deploying production-grade AI agents
• Experience designing agentic workflows beyond prompt engineering or AI coding assistants
• Deep understanding of:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agent orchestration
  • Tool calling
  • Agent memory and context systems
  • AI evaluation and monitoring frameworks
• Strong frontend and backend development expertise
• Experience integrating AI systems with APIs, databases, enterprise applications, and external services

Ideal Candidate Profile

You likely started your career as a software engineer and evolved into AI engineering, spending recent years focused on designing, building, and operating intelligent agents in production rather than simply consuming AI tools.
You understand how to architect systems where AI can reason, retrieve information, interact with tools, and complete business workflows safely and effectively.

Key Responsibilities

Agentic AI Development

• Design and build AI agents capable of reasoning through complex business workflows
• Develop support agents that can understand user intent, maintain context, retrieve information, and take meaningful actions
• Create multi-step agentic workflows leveraging LLMs, APIs, business logic, enterprise systems, and knowledge sources
• Design memory, context, retrieval, and personalisation frameworks
• Implement guardrails, evaluation methodologies, fallback mechanisms, and human-in-the-loop processes
• Optimise agent performance across accuracy, latency, reliability, cost, and task completion metrics

Full-Stack Product Development

• Build user-facing applications that enable interaction with AI-powered experiences
• Develop modern frontend applications using frameworks such as React, Next.js, or Angular
• Build backend services and APIs using Python frameworks including FastAPI, Flask, or Django
• Own solutions end-to-end from architecture through deployment
• Ensure scalability, security, reliability, and maintainability of AI-enabled products

RAG, Data & AI Infrastructure

• Develop RAG pipelines that connect agents to structured and unstructured enterprise knowledge
• Build data ingestion and integration pipelines
• Connect AI systems to APIs, databases, workflow engines, and business applications
• Help establish infrastructure supporting agent memory, retrieval, and contextual reasoning
• Maintain high standards for security, reliability, and performance

LLM Engineering

• Integrate and orchestrate leading AI models within production environments
• Develop prompting, retrieval, context management, and tool-selection strategies
• Build conversational AI, intelligent search, document processing, and workflow automation capabilities
• Evaluate model performance, architectures, providers, and costs
• Create monitoring and evaluation frameworks to measure business impact and technical effectiveness

Engineering Excellence

• Implement CI/CD, testing, observability, and monitoring practices
• Establish best practices around software quality, documentation, security, and deployment
• Leverage modern AI engineering tools while maintaining strong engineering discipline
• Stay current with emerging agent frameworks, AI tooling, and industry best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline
• 6+ years of combined software engineering and AI development experience
• Strong full-stack development experience across frontend and backend technologies
• Experience building scalable APIs and distributed applications
• Proven experience building AI agents, agentic workflows, or production LLM applications
• Experience with:
  • LLMs
  • RAG architectures
  • Tool calling
  • Agent orchestration frameworks
  • AI evaluation methodologies
• Experience developing applications using React, Angular, Next.js, or similar frameworks
• Strong Python development experience
• Experience working with cloud-based environments and modern deployment practices
• Experience using AI-enabled development tools responsibly and effectively

Preferred Qualifications

• Experience with Databricks or modern lakehouse platforms
• Experience with GCP or similar cloud environments
• Infrastructure-as-code and DevOps experience
• Experience building enterprise-scale AI products
• Background working within cross-functional Agile teams

What Success Looks Like

• Build and deploy production-ready AI agents that drive measurable business outcomes
• Become the team’s go-to technical expert for agent architecture and orchestration
• Deliver reliable, scalable, and secure AI solutions in enterprise environments
• Help define AI engineering best practices and agent development standards across the organisation

To Apply for this Job Click Here

To Apply for this Job Click Here

Agentic AI Software Engineer

Overview

We’re partnering with an organisation investing heavily in AI-driven products and intelligent automation. This position is ideal for a software engineer who began their career in full-stack development and has since specialised in designing, building, and deploying AI agents in production environments.
This is not an AI-assisted coding role. We are seeking someone who has personally built and deployed AI agents, agent orchestration frameworks, and agentic workflows that interact with enterprise systems, APIs, and business processes.
The successful candidate will become the primary builder of AI agents within a growing AI engineering function, delivering high-value initiatives and shaping the future of enterprise AI capabilities.

Compensation, Location & Logistics

• Salary: Up to $180,000
• Bonus: Up to 15% annual bonus
• Relocation Assistance: $10,000 relocation package available
• Work Model: Hybrid
• Location: Houston, TX
• Office Requirement: 4 days per week on-site
• Remote Flexibility: Candidates outside a 50-mile radius may be eligible for a reduced on-site requirement of approximately 4 days per month
• Sponsorship: Not available

Interview Process

1. Initial recruiter screening
2. Online technical assessment
   • Coding evaluation
   • LLM and AI fundamentals assessment
3. Technical interview with AI Engineering leadership
   • Deep dive into agent architecture, product delivery, and real-world use cases
4. Final on-site panel interview with technical and business stakeholders

What We’re Looking For

Essential Background

• Minimum 3+ years of full-stack software engineering experience
• Minimum 3+ years of hands-on AI agent development experience
• Strong track record building and deploying production-grade AI agents
• Experience designing agentic workflows beyond prompt engineering or AI coding assistants
• Deep understanding of:
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Agent orchestration
  • Tool calling
  • Agent memory and context systems
  • AI evaluation and monitoring frameworks
• Strong frontend and backend development expertise
• Experience integrating AI systems with APIs, databases, enterprise applications, and external services

Ideal Candidate Profile

You likely started your career as a software engineer and evolved into AI engineering, spending recent years focused on designing, building, and operating intelligent agents in production rather than simply consuming AI tools.
You understand how to architect systems where AI can reason, retrieve information, interact with tools, and complete business workflows safely and effectively.

Key Responsibilities

Agentic AI Development

• Design and build AI agents capable of reasoning through complex business workflows
• Develop support agents that can understand user intent, maintain context, retrieve information, and take meaningful actions
• Create multi-step agentic workflows leveraging LLMs, APIs, business logic, enterprise systems, and knowledge sources
• Design memory, context, retrieval, and personalisation frameworks
• Implement guardrails, evaluation methodologies, fallback mechanisms, and human-in-the-loop processes
• Optimise agent performance across accuracy, latency, reliability, cost, and task completion metrics

Full-Stack Product Development

• Build user-facing applications that enable interaction with AI-powered experiences
• Develop modern frontend applications using frameworks such as React, Next.js, or Angular
• Build backend services and APIs using Python frameworks including FastAPI, Flask, or Django
• Own solutions end-to-end from architecture through deployment
• Ensure scalability, security, reliability, and maintainability of AI-enabled products

RAG, Data & AI Infrastructure

• Develop RAG pipelines that connect agents to structured and unstructured enterprise knowledge
• Build data ingestion and integration pipelines
• Connect AI systems to APIs, databases, workflow engines, and business applications
• Help establish infrastructure supporting agent memory, retrieval, and contextual reasoning
• Maintain high standards for security, reliability, and performance

LLM Engineering

• Integrate and orchestrate leading AI models within production environments
• Develop prompting, retrieval, context management, and tool-selection strategies
• Build conversational AI, intelligent search, document processing, and workflow automation capabilities
• Evaluate model performance, architectures, providers, and costs
• Create monitoring and evaluation frameworks to measure business impact and technical effectiveness

Engineering Excellence

• Implement CI/CD, testing, observability, and monitoring practices
• Establish best practices around software quality, documentation, security, and deployment
• Leverage modern AI engineering tools while maintaining strong engineering discipline
• Stay current with emerging agent frameworks, AI tooling, and industry best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline
• 6+ years of combined software engineering and AI development experience
• Strong full-stack development experience across frontend and backend technologies
• Experience building scalable APIs and distributed applications
• Proven experience building AI agents, agentic workflows, or production LLM applications
• Experience with:
  • LLMs
  • RAG architectures
  • Tool calling
  • Agent orchestration frameworks
  • AI evaluation methodologies
• Experience developing applications using React, Angular, Next.js, or similar frameworks
• Strong Python development experience
• Experience working with cloud-based environments and modern deployment practices
• Experience using AI-enabled development tools responsibly and effectively

Preferred Qualifications

• Experience with Databricks or modern lakehouse platforms
• Experience with GCP or similar cloud environments
• Infrastructure-as-code and DevOps experience
• Experience building enterprise-scale AI products
• Background working within cross-functional Agile teams

What Success Looks Like

• Build and deploy production-ready AI agents that drive measurable business outcomes
• Become the team’s go-to technical expert for agent architecture and orchestration
• Deliver reliable, scalable, and secure AI solutions in enterprise environments
• Help define AI engineering best practices and agent development standards across the organisation

To Apply for this Job Click Here

To Apply for this Job Click Here

Digital Analytics Executive

Up to £40,000
Remote (UK) | Occasional Travel to London or Birmingham

I’m hiring a Digital Analytics Executive to join a nationally recognised organisation at the heart of one of the UK’s largest consumer sectors.

This is a brilliant opportunity for someone with 1-2 years of Digital Analytics or Web Analytics experience who wants to develop deeper technical analytics skills while working closely with an experienced Digital Analytics Lead and supporting a major analytics transformation programme.

The role

Reporting into the Digital Analytics Lead, you’ll support digital measurement, web analytics, and tracking projects across a large portfolio of digital experiences.

You’ll gain hands-on exposure to:

• Google Analytics 4 (GA4)
• Google Tag Manager (GTM)
• Tagging implementation
• Data Layers
• Digital Measurement Strategy
• Technical Web Analytics

You’ll also play a key role in supporting a wider transformation programme as the organisation builds out a modern self-service analytics environment.

What you’ll be doing

• Analyse website performance and user behaviour using GA4
• Support GTM implementation, maintenance, and troubleshooting
• Assist with tracking validation and debugging
• Help improve digital measurement frameworks
• Support data layer and tagging projects
• Work with stakeholders to ensure data quality and accuracy
• Contribute to analytics transformation and reporting initiatives
• Partner with the Digital Analytics Lead on more technical analytics projects

What they’re looking for

Essential

• 1-2 years’ experience in Digital Analytics, Web Analytics, or Marketing Analytics
• Hands-on experience with Google Analytics 4
• Experience using Google Tag Manager
• Strong interest in web tracking and digital measurement
• Good communication and stakeholder skills
• Curious mindset and eagerness to learn

Nice to have

• BigQuery
• Databricks
• Data layer exposure
• Tagging implementation experience
• Web analytics consultancy or agency experience

Most importantly

You don’t need deep data layer or advanced tracking experience already.

They’re looking for someone who wants to learn and develop in technical digital analytics and is excited by the opportunity to work alongside an experienced analytics specialist who can support that growth.

Why join?

• Predominantly remote working
• Significant exposure to technical web analytics
• Opportunity to learn data layer implementation and advanced tagging
• Work on a major analytics transformation programme
• Exposure to Databricks and modern analytics technologies
• Strong learning and development opportunities
• Supportive and highly experienced analytics leadership

Package

• Up to £40,000 salary
• Predominantly remote working
• Access to London and Birmingham offices
• Strong development opportunities
• Exposure to modern analytics and tracking methodologies

Interview process

Stage 1

• Teams interview with the Digital Analytics Lead and Head of Analytics

Stage 2

• Live technical task focused on analytics troubleshooting and bug-finding

This role would be ideal for a:

• Digital Analytics Executive
• Web Analyst
• Digital Analyst
• Marketing Analyst
• Junior Web Analytics Consultant
• GA4 Analyst

looking to take the next step into a more technical analytics environment with excellent mentoring and development opportunities.

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AI Engineer | Venture-Backed HealthTech Startup
Cambridge, MA
$200,000 – $220,000 + bonus + equity
4 days per week on-site

Join a well-funded, mission-driven start-up using AI to transform the way serious diseases are detected and monitored.

Having secured over $30M in early-stage funding and backed by leading investors, the company is entering an exciting growth phase as it prepares for its next major funding milestone. Their platform generates personalised health insights over time, with a live product already being used through a dedicated mobile application.

The Role

You’ll be responsible for taking machine learning solutions from concept through to production, working across:

• ML model design, training and deployment
• Infrastructure, scalability and MLOps
• Productionising AI systems
• Monitoring, optimisation and performance improvement
• Collaborating closely with engineering, product and domain experts

This is an engineering-focused role suited to someone who enjoys shipping robust ML systems rather than pure research.

What We’re Looking For

• Strong AI & machine learning and software engineering experience
• Track record of deploying ML models into production
• Experience with cloud infrastructure and MLOps
• Startup mindset and high ownership mentality
• Healthcare, biotech or life sciences experience is beneficial but not essential

Why Join?

• Opportunity to work on technology with meaningful real-world impact
• Backed by an experienced founding team with deep expertise in AI and life sciences
• Over $30M raised to date, providing the resources of a well-funded scale-up with the agility of a startup
• Join at an exciting stage of growth ahead of a major funding event
• High autonomy and influence within a small, highly technical team

Interview Process

1. Introductory conversation with the hiring manager
2. Three technical interview stages
3. Final onsite cultural and team-fit assessment

Ideal for AI engineers who enjoy building and scaling production-grade machine learning systems in a fast-paced, well-funded startup environment.

To Apply for this Job Click Here

To Apply for this Job Click Here

Founding Data Scientist
NYC (5 Days Onsite – Midtown)
Up to $240K Basic Salary

We’re partnered with an early-stage company operating at the intersection of data, trading, and live events, looking to hire a Founding Data Scientist to help build and scale their core pricing and bidding systems.

This is an opportunity to join a small, high-caliber team where your work will directly influence pricing decisions, inventory strategy, and revenue generation.

What you’ll be working on:
* Pricing and inventory models in a real-time marketplace
* Bidding and trading algorithms
* Machine learning systems used in production
* Model evaluation and performance optimization
* Scaling core data science capabilities from the ground up

What they’re looking for:
* Strong background in machine learning and data science
* Experience building and deploying models into production
* Advanced Python and SQL skills
* Experience working in fast-paced, high-growth environments
* Someone who enjoys solving complex commercial problems

This is a rare opportunity to join at an early stage and help shape both the technical direction and future growth of the business.

Apply below or reach out directly for a confidential conversation.

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Senior Decision Scientist, Analytics

£60,000 – £80,000 | London

This is an exciting opportunity for a Senior Decision Scientist to join a growing analytics function within a fast-scaling fintech. Working at the heart of credit decisioning and business performance, you will use data to solve complex problems, influence strategy, and drive meaningful commercial outcomes. The role offers a blend of deep analytical work, stakeholder engagement, and the opportunity to challenge existing approaches in a highly data-driven environment.

THE COMPANY
This established fintech is helping businesses access funding through digital platforms. They combine advanced data analytics, automated decisioning, and modern technology to deliver fast, scalable financial solutions. With continued growth across multiple markets, they are investing heavily in analytics and decision science capabilities to support future expansion. This role sits within a high-performing analytics team and offers the opportunity to work on business-critical challenges with significant visibility across the organisation.

THE ROLE
* Deliver detailed analytics, investigations, and deep dives to support strategic and operational decision-making.
* Partner with stakeholders across the business to understand challenges and identify data-driven solutions.
* Analyse customer, portfolio, and decisioning performance to generate actionable insights.
* Drive improvements to processes, reporting, and analytical frameworks.
* Challenge existing methodologies and contribute innovative ideas to improve outcomes.
* Support the resolution of business and operational issues through rigorous analytical investigation.
* Work hands-on with large and complex datasets to uncover trends, risks, and opportunities.
* Collaborate with technical and non-technical stakeholders to influence decision-making.
This role offers the opportunity to make a tangible impact, work on a wide variety of analytical problems, and help shape the future direction of a growing decision science function.

YOUR SKILLS AND EXPERIENCE
* Strong commercial experience within credit analytics, decision science, risk analytics, or a related field.
* Experience delivering complex analytical projects and presenting insights to stakeholders.
* Strong stakeholder management and communication skills.
* Advanced SQL skills.
* Python experience for analysis and problem-solving.
* Experience working within financial services, lending, fintech, or credit-focused environments.
* Ability to translate business challenges into analytical solutions.
* Naturally curious with a track record of investigating issues and identifying opportunities for improvement.

SALARY AND BENEFITS
* £60,000 – £80,000 base salary.
* Hybrid working model with 3 days per week in a central London office.
* Competitive benefits package.
* Pension scheme.
* Strong career development opportunities within a growing business.
* Exposure to senior stakeholders and business-critical decision-making.

HOW TO APPLY
Please register your interest by sending your CV to Rachael through the Apply link for this role.

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To Apply for this Job Click Here

Senior Data Engineer (Microsoft Fabric)

Location: Remote, Europe (CET/CEST alignment required)

Salary: Competitive + Benefits

This is an opportunity to join a large-scale global finance and data transformation programme where data engineering sits at the centre of business change. You’ll work on building a modern Microsoft Fabric platform within a complex enterprise environment, helping to standardise and modernise data across multiple systems, regions, and business functions.

The Company

They are a global organisation operating in a complex, high-volume environment with significant ongoing investment in data, analytics, and finance transformation. Their technology landscape includes a mix of enterprise platforms, legacy systems, and locally developed solutions, creating a genuinely challenging and rewarding data engineering environment. As they continue to modernise their data estate, they are expanding their Microsoft Fabric capability to support enterprise-wide reporting, analytics, and decision-making.

The Role

As a Senior Data Engineer, you will play a key role in designing, building, and supporting scalable data solutions within Microsoft Fabric.

Responsibilities include:

• Designing and developing data solutions using Microsoft Fabric and Lakehouse architecture
• Building and maintaining robust data pipelines and integration processes across multiple source systems
• Implementing and evolving Medallion architecture patterns across the data platform
• Developing complex SQL and T-SQL solutions to support enterprise data requirements
• Ensuring data quality, reconciliation, validation, and governance standards are met
• Troubleshooting production issues and driving platform reliability and performance improvements
• Contributing to DevOps maturity, deployment automation, and engineering best practice
• Collaborating with finance, analytics, and technology stakeholders across international teams
• Supporting the ongoing modernisation of a complex enterprise data landscape

Your Skills & Experience

• Strong commercial experience working as a Data Engineer within enterprise environments
• Hands-on expertise with Microsoft Fabric, including Lakehouse architecture
• Advanced SQL and T-SQL development skills
• Experience designing and implementing Medallion architecture
• Strong understanding of enterprise data integration and data modelling principles
• Experience with data quality frameworks, reconciliation processes, and production support
• Knowledge of DevOps practices, CI/CD, and operational excellence within data platforms
• Ability to work effectively across globally distributed teams and stakeholders
• Experience within complex, high-volume operational environments is highly desirable
• Comfortable participating in occasional out-of-hours collaboration with global teams when required

What They Offer

• Competitive base salary and comprehensive benefits package
• Permanent position within a strategic global transformation programme
• Opportunity to shape the development of a Microsoft Fabric platform from an early stage
• Remote-first working model across Europe
• Exposure to complex enterprise-scale data challenges and modern cloud technologies
• Clear opportunities for professional development and long-term career progression
• International collaboration across finance, analytics, and technology functions
• Approximately 3 to 4 business trips per year for team and stakeholder engagement

For exceptional Microsoft Fabric specialists seeking an initial independent engagement, a contract-to-permanent route may also be considered, although the organisation’s preference is for a permanent hire.

How to Apply

If you are a Senior Data Engineer with strong Microsoft Fabric, SQL, and enterprise data engineering expertise, apply today to discuss this opportunity in confidence.

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