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Graduate CRM Analyst (Data)

Location: Watford
Salary: £35,000 + bonus
Working pattern: Hybrid – 3 days per week in the office

A leading organisation is looking for a Graduate CRM Analyst to join its growing CRM team and support the delivery of customer marketing campaigns.

This is a great opportunity for an early-career analyst with SQL experience who enjoys working with data, solving problems and collaborating with stakeholders.

The Role

You’ll be responsible for building and managing customer audiences for CRM campaigns, ensuring campaigns are accurately targeted and delivered on time.

Key responsibilities include:

• Building customer audiences and segments using SQL
• Managing campaign schedules and audience requests
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring and promotional CRM campaigns
• Performing audience validation and quality checks
• Providing basic campaign analysis and reporting
• Working closely with CRM Strategy, Operations and Data teams

About You

We’re looking for someone with:

• Basic/intermediate SQL skills, including joins, GROUP BYs, counts and aggregations
• A STEM, data-focused or analytical degree/background
• Strong attention to detail
• Excellent communication and stakeholder management skills
• The ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university, internships, placements or an early-career role

CRM, marketing or Salesforce Marketing Cloud experience is desirable but not essential.

Why Join?

• Join a growing and strategically important CRM function
• Clear progression into Senior Analyst, Manager or BI opportunities
• Gain exposure to CRM, customer data and campaign analytics
• Work closely with Strategy, Operations and Data teams
• Opportunity to take ownership of CRM scheduling and campaign governance

Interested? Apply now or get in touch for more information.

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Location: 100% Remote (U.S.-Based)

About the Company

We are recruiting on behalf of a privately held, high-impact SaaS platform transforming how health and human services organizations utilize data to improve outcomes and program integrity. Their configurable analytics and decision-support solutions empower state and federal leaders to make faster, smarter, and more informed decisions that directly improve the lives of the individuals they serve.

About the Role

They are seeking a hands-on Lead Backend Engineer – AI Services to bridge the gap between Data Science and production software. This is not a research position, pure architect role, or management track-it is a senior, technical leadership position within an established 3-person platform team where you will build, scale, and integrate AI/ML capabilities directly into production software.

Responsibilities

• Bridge AI & Production: Work directly with the Data Science team and Chief Innovation Officer to take proof-of-concept models and turn them into scalable, reliable production services.
• Platform Evolution: Build and extend backend infrastructure to support model serving, LLM integrations, RAG architecture, agentic workflows, and real-time predictions.
• System Architecture: Lead complex backend initiatives from architectural design through deployment, establishing reusable patterns and driving build vs. buy decisions.
• Collaborate & Guide: Report directly to the VP of Engineering, communicating technical tradeoffs and system designs to executive leadership while providing technical direction to the platform team.

Qualifications

• 15+ years of software engineering experience with deep expertise in building, modernizing, and maintaining complex SaaS/backend platform architectures.

Required Skills

• Strong mastery of server-side Java and foundational software engineering practices (testing, CI/CD, monitoring, SQL).
• Proven experience operationalizing AI/ML into customer-facing, commercial products.
• Practical working knowledge of Python/FastAPI, LangChain (or similar orchestration frameworks), Vector Databases/RAG, MLflow, LLM APIs, and prompt engineering.
• Experience deploying high-availability systems on Linux environments across AWS, Azure, or GCP.

Preferred Skills

• Experience in analytics, Business Intelligence (BI), or decision-support platforms.
• Background or domain knowledge in healthcare or human services data systems.

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SEO, Content & Automations Manager

Location: London | Salary: Up to £50,000 + bonus | Hybrid

An exciting opportunity to join a growing international digital business as an SEO, Content & Automations Manager.

You’ll own SEO and content delivery while helping shape the company’s approach to AI-driven search, AEO/GEO and automation.

Key Responsibilities

• Own SEO strategy and day-to-day delivery
• Create, edit and optimise high-quality content
• Develop AI/LLM search and AEO/GEO strategies
• Build content and SEO automations using tools such as n8n, Make or Zapier
• Analyse performance using tools such as Ahrefs, SEMrush, GA and Search Console
• Identify opportunities to improve efficiency and content quality

About You

• 2+ years’ experience across SEO, content or digital marketing
• Strong understanding of SEO and content best practice
• Hands-on interest in AI, LLMs and the future of search
• Experience or strong interest in automation
• Analytical, creative and highly organised
• Ambitious, commercially minded and keen to progress into leadership

Great opportunity to shape AI, SEO and content strategy within an international business, with potential to build a team and progress quickly.

Find out more and apply via the link below!

To Apply for this Job Click Here

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CRM Analyst (Data)

Location: Watford
Salary: £35,000 + bonus
Working pattern: Hybrid – 3 days per week in the office

A leading organisation is looking for a CRM Analyst to join its growing CRM team and support the delivery of customer marketing campaigns.

This is a great opportunity for an early-career analyst with SQL experience who enjoys working with data, solving problems and collaborating with stakeholders.

The Role

You’ll be responsible for building and managing customer audiences for CRM campaigns, ensuring campaigns are accurately targeted and delivered on time.

Key responsibilities include:

• Building customer audiences and segments using SQL
• Managing campaign schedules and audience requests
• Working with Salesforce Marketing Cloud and Automation Studio
• Supporting recurring and promotional CRM campaigns
• Performing audience validation and quality checks
• Providing basic campaign analysis and reporting
• Working closely with CRM Strategy, Operations and Data teams

About You

We’re looking for someone with:

• Basic/intermediate SQL skills, including joins, GROUP BYs, counts and aggregations
• A STEM, data-focused or analytical degree/background
• Strong attention to detail
• Excellent communication and stakeholder management skills
• The ability to manage multiple priorities in a fast-paced environment
• Exposure to SQL through university, internships, placements or an early-career role

CRM, marketing or Salesforce Marketing Cloud experience is desirable but not essential.

Why Join?

• Join a growing and strategically important CRM function
• Clear progression into Senior Analyst, Manager or BI opportunities
• Gain exposure to CRM, customer data and campaign analytics
• Work closely with Strategy, Operations and Data teams
• Opportunity to take ownership of CRM scheduling and campaign governance

Interested? Apply now or get in touch for more information.

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an opportunity to take ownership of SEO, content, and automation within a growing digital business. The role offers the chance to shape AI search strategy, improve visibility across emerging search platforms, and build workflow automations that deliver meaningful business impact.

The Company
They are a well-established digital organisation with a strong online presence and a focus on innovation across search, content, and customer acquisition. As they continue to invest in AI-driven search and automation, they are looking for someone who can help shape the future of their organic growth strategy. You’ll join a collaborative environment where new ideas are encouraged and where technology is used to improve performance and efficiency.
The Role
You will:

• Lead day-to-day SEO delivery and content production across key digital channels.
• Develop and optimise strategies for AI-driven search platforms, including AI search experiences and LLM-based discovery channels.
• Monitor brand and content visibility within AI-generated responses and implement improvements based on performance insights.
• Refine structured data, content formats, and on-page SEO signals to improve discoverability and citation potential.
• Design, build, and maintain workflow automations to streamline content and SEO processes.
• Identify manual processes and create scalable automated solutions using modern automation tools.
• Use leading SEO platforms and analytics tools to monitor performance, identify opportunities, and support technical SEO improvements.
• Collaborate with stakeholders across the business to drive organic growth and improve digital performance.

Your Skills & Experience

• Strong commercial experience in SEO, content marketing, digital marketing, or a related discipline.
• Excellent understanding of SEO best practice, content optimisation, and search performance analysis.
• Knowledge of AI-driven search, Answer Engine Optimisation (AEO), Generative Engine Optimisation (GEO), or a demonstrable passion for this area.
• Hands-on experience building workflow automations using tools such as n8n, Zapier, Make, or similar platforms.
• Experience using SEO and analytics tools including Google Analytics, Google Search Console, Ahrefs, SEMrush, Moz, and Screaming Frog.
• Strong organisational skills with the ability to manage multiple priorities effectively.
• A proactive approach and confidence working collaboratively across different teams.
• Experience with scripting languages, affiliate marketing, or additional European language skills would be advantageous.

What They Offer

• Salary up to £50,000 plus bonus.
• Hybrid working with three days per week in the London office.
• Opportunity to lead AI search and automation initiatives.
• Exposure to innovative SEO and content strategies.
• Strong scope for professional development and career progression.

How to Apply
If you’re excited by the intersection of SEO, AI search, content strategy, and automation, apply today to find out more.

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Lead Data Scientist

We are looking for a Lead Data Scientist to own complex quantitative and risk modeling projects from problem definition through implementation. This is a highly visible role where your models will directly influence multi-million-dollar business opportunities and be presented to executive stakeholders.

What You’ll Do

• Build, evaluate, and validate quantitative and risk models.
• Work with large financial and credit datasets.
• Develop models using Python, SQL, and gradient boosting techniques.
• Translate model outputs into measurable financial and dollar impact.
• Own projects end-to-end, from defining the problem through implementation.
• Present technical findings and recommendations to senior and executive stakeholders.
• Defend models and methodology during external audits.
• Help identify and quantify significant financial opportunities.
• Provide technical guidance and support to other team members.

What We’re Looking For

• 8+ years of data science/modeling experience
• Strong Python and SQL skills.
• Strong data modeling experience.
• Strong mathematical and statistical foundation.
• Experience with gradient boosting models.
• Proven ability to independently lead projects end-to-end.
• Excellent communication and presentation skills.
• Comfortable explaining technical work and model results to executives.
• Experience working through external audits and defending models.
• Finance/risk modeling experience within a regulated industry is required.

Required Domain Experience

You should have experience in areas such as:

• Credit risk modeling
• Financial or loss modeling
• Probability of Default (PD) modeling
• Credit scorecards
• Payment behavior modeling
• Credit attribute modeling
• Mortgage, credit card, banking, or credit bureau data
• Risk modeling within a regulated financial institution

Education

• Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Quantitative Engineering, or another highly quantitative field.
• Master’s degree in Data Science or a related quantitative discipline preferred.

The Ideal Candidate

This role is suited to a senior-level Data Scientist who can operate independently, drive complex projects, and communicate confidently with both technical and executive audiences.

Location: Tempe, AZ preferred; Dallas or Atlanta also considered
Working Model: Hybrid, 4 days per week (Monday-Thursday)
Compensation: $140,000-$150,000 base
Visa: U.S. Citizen or Green Card holder only

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PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

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STAFF AI ENGINEER

Palo Alto, California, United States (On-site / Hybrid)

The Role

We’re hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.

This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You’ll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.

You’ll work across architecture and implementation in a fast-moving environment with rapid production iteration.

What You’ll Build

• Production LLM-powered services and applications
• Enterprise copilots and conversational AI systems
• Text-to-code and natural language SQL systems
• Agent frameworks and tool-using AI systems
• Workflow automation powered by foundation models
• API layers for LLM integration across systems
• Scalable GenAI infrastructure and deployments
• CI/CD pipelines for AI services

What You Bring

• 8-12+ years software or ML engineering experience
• Strong experience building production LLM or ML systems
• Deep understanding of foundation models and LLM APIs
• Strong backend and distributed systems experience
• Experience with AWS production environments
• Kubernetes / containerized deployment experience
• Strong systems thinking (latency, scaling, reliability trade-offs)

Strong Preference For

• ML engineering background over traditional full-stack
• Experience building GenAI or agentic systems in production
• Strong analytical background (PhD-level NLP/CV a plus)

Why This Role

• Build and scale core GenAI infrastructure with real impact
• High ownership from architecture through production
• Fast iteration cycles and strong technical autonomy
• High visibility with senior technical leadership
• Opportunity to shape foundational AI systems at scale

• Opportunity to shape foundational AI systems at scale

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Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong hands-on Python and SQL skills
• Experience building, deploying, and improving production ML models
• Experience working with large-scale datasets
• Strong understanding of feature engineering, model optimization, and experimentation
• Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems
• Ability to operate independently, take ownership, and drive technical decisions

Why Join?

• Work on high-impact ML systems serving millions of users
• Own and improve models that directly influence product performance and revenue
• Join a mature engineering environment with strong data infrastructure already in place
• Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states: California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

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Solution Consultant

Location: Remote (USA)

About the Role

We are seeking a Solution Consultant to help customers successfully adopt and maximize the value of our software after implementation. This is a highly customer-facing role focused on training, user support, customer engagement, and long-term adoption.

Responsibilities

• Deliver customer training and onboarding.
• Provide ongoing product support and troubleshoot user issues.
• Build strong relationships with customers and act as a trusted point of contact.
• Proactively engage users to increase adoption and utilization.
• Analyze healthcare claims data to provide relevant, customer-specific guidance.
• Gather customer feedback and contribute to product improvement efforts.
• Create training materials, documentation, and best practices.

Qualifications

• Experience working with healthcare claims data.
• Background in healthcare fraud, waste & abuse (FWA), investigations, auditing, compliance, claims analysis, SIU, Medicaid Program Integrity, healthcare insurance, or government healthcare programs.
• Strong understanding of healthcare operations and how data is used to support investigations, oversight, or program integrity.
• Excellent communication, presentation, and training skills.
• Customer-focused with strong relationship-building abilities.
• Strong analytical and problem-solving skills.
• Comfortable learning and adopting new technologies.
• No coding or software development experience required.

Government healthcare experience is a plus; candidates from private healthcare organizations with relevant claims and investigation experience are also encouraged to apply.

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Strategic Account Manager

About the Role

We are looking for a Strategic Account Manager to manage and grow long-term relationships with key public sector and healthcare customers. This role focuses on executive stakeholder management, customer retention, and identifying cross-sell and upsell opportunities beyond the initial implementation.

What You’ll Do

• Manage multiple strategic accounts with seven-figure annual contract values.
• Build strong relationships with executive sponsors and senior stakeholders.
• Develop multi-year account strategies focused on retention, satisfaction, and growth.
• Identify and close expansion opportunities within existing accounts.
• Partner with technical and implementation teams to understand customer needs and communicate platform value.
• Navigate complex technology environments involving data, integrations, analytics, AI/ML, and workflow solutions.
• Travel approximately 10-15% for customer meetings and onsite engagements.

What We’re Looking For

• 7+ years of experience in strategic account management, customer success, enterprise sales, or a similar role.
• Proven experience managing complex SaaS customers and multi-year relationships.
• Strong public sector experience, ideally with state-level organizations or public health agencies.
• HealthTech, healthcare, or Health & Human Services experience strongly preferred.
• Proven success growing existing customer relationships and generating new business.
• Strong executive communication and relationship management skills.
• Technical fluency with the ability to understand and communicate complex technology and data solutions.
• Comfortable working in a fast-paced, entrepreneurial environment with limited structure.
• Willingness to travel 10-15%.

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Head of Credit Risk

DMV Area – Virginia

Up to $400,000 + equity

A high-growth fintech lender is seeking an experienced credit leader to help scale and optimise an international credit card business.

This is a rare opportunity to join a well-funded and profitable, entrepreneurial environment where you’ll have significant influence over portfolio strategy, growth, risk management and future market expansion.

Reporting into a senior executive leadership team, you’ll own credit performance across multiple markets, leading strategy across teh customer lifecycle while helping shape the next phase of growth.

You’ll combine strategic thinking with a willingness to roll your sleeves up. This is not a large corporate environment. We are looking for someone who enjoys building, testing, refining and executing.

What you’ll be doing

• Owning end-to-end credit strategy across multiple growth stage card portfolios
• Leading portfolio growth whilst maintaining strong risk discipline
• Developing acquisition, underwriting, line management and portfolio optimisation strategies
• Using data and analytics to identify growth opportunities and improve performance
• Partnering closely with product, data science, marketing, finance and operations teams
• Supporting capital and funding discussions through strong understanding of portfolio performance and asset quality
• Growing and developing a high-performing credit team
• Contributing directly to analysis, modelling and strategy development

What we’re looking for

• Significant experience within credit cards is essential
• Deep expertise across the customer and credit lifecycle
• Strong understanding of credit risk, portfolio management and lending economics
• Experience scaling or building credit businesses in growth environments
• Ability to combine strategic leadership with hands-on execution
• Strong analytical and coding capability
• Experience operating within fintech, challenger banks or high-growth lending businesses preferred
• International market experience is highly desirable

Why consider it?

• Genuine opportunity to influence company strategy
• Highly visible leadership position
• Strong growth trajectory and significant investment behind the business
• Entrepreneurial culture with minimal bureaucracy
• Attractive compensation package including meaningful equity participation

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