Private Cloud Architect
Dallas / $200000 - $230000 annum
INFO
SALARY:
$200000 - $230000
LOCATION
Dallas
Permanent
Private Cloud Architect
Location: Dallas - On-site 5 days a week
Compensation: Up to 230K
The role:
- Act as Lead Architect modernizing legacy architecture with the sole focus being on On-Prem/DataCenters and Private Cloud
- Collaborate cross functionally with the public cloud team ensuring connectivity between the 2 environments
- Drive private cloud transformation including GPU/HPC, Compute, Storage, Network, and security
- Build self-service cloud capabilities
The requirements:
- Must have architected private cloud environments recently and not focused on public cloud solutions
- Must have experience in a Software/tech environment working on internal solutions (not consulting or services)
- Extensive Kubernetes & OpenShift Experience
- Extensive experience with streaming tools like Kafka, Flink or Spark
CONTACT
Mark Turp
Principal Recruitment Consultant
SIMILAR
JOB RESULTS
Private Cloud Architect
Dallas
$200000 - $230000
+ Data Engineering
PermanentDallas, Texas
To Apply for this Job Click Here
Private Cloud Architect
Location: Dallas – On-site 5 days a week
Compensation: Up to 230K
The role:
- Act as Lead Architect modernizing legacy architecture with the sole focus being on On-Prem/DataCenters and Private Cloud
- Collaborate cross functionally with the public cloud team ensuring connectivity between the 2 environments
- Drive private cloud transformation including GPU/HPC, Compute, Storage, Network, and security
- Build self-service cloud capabilities
The requirements:
- Must have architected private cloud environments recently and not focused on public cloud solutions
- Must have experience in a Software/tech environment working on internal solutions (not consulting or services)
- Extensive Kubernetes & OpenShift Experience
- Extensive experience with streaming tools like Kafka, Flink or Spark
To Apply for this Job Click Here
Machine Learning Scientist
San Francisco
$200000 - $250000
+ Life Science Analytics
PermanentSan Francisco, California
To Apply for this Job Click Here
Machine Learning Scientist
Remote (USA only)
About the Role
A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology.
This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team.
Responsibilities
- Design, train, and evaluate state-of-the-art machine learning and foundation models.
- Rapidly prototype and test new research ideas.
- Develop benchmark tasks and evaluation frameworks.
- Collaborate closely with researchers, scientists, and engineers.
- Contribute to publications and technical presentations.
Ideal Background
- PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field.
- Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues.
- Experience building models in PyTorch and conducting original machine learning research.
- Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning.
Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply.
Why Join?
- Work on cutting-edge machine learning research with real-world impact.
- Collaborate with world-class researchers and scientists.
- Help shape the future of AI-driven scientific discovery.
To Apply for this Job Click Here
Pega Technical Project Manager
Los Angeles
$50 - $55
+ Advanced Analytics & Marketing Insights
ContractLos Angeles, California
To Apply for this Job Click Here
This is a long-term contract opportunity to lead high-impact decisioning initiatives within a large-scale marketing technology environment. You will sit at the intersection of marketing strategy, customer experience, and Pega CDH decisioning, taking ownership of end-to-end delivery while influencing how the wider business leverages decisioning capabilities.
The Company
They are a complex, enterprise-scale organisation operating a mature marketing technology and decisioning landscape. The decisioning team supports multiple critical applications, including a core Pega Customer Decision Hub platform used to prioritise and deliver customer offers across channels. The business is entering a period of enhancement and platform upgrade, creating meaningful scope for delivery-focused technical leadership.
The Role and Deliverables
- Act as the business-facing technical project manager for Pega CDH decisioning initiatives, owning scope, timelines, and delivery.
- Translate marketing and business strategy into clear decisioning requirements and logic within Pega CDH.
- Manage intake, prioritisation, and governance of decisioning enhancements from ideation through to production.
- Partner with technology teams to ensure solutions meet business requirements and resolve defects efficiently.
- Execute and oversee UAT and regression testing, validating decision logic and offer execution.
- Communicate progress, risks, and outcomes clearly to senior stakeholders through structured documentation and presentations.
Your Skills & Experience
- Strong hands-on experience with Pega Customer Decision Hub and enterprise decisioning capabilities.
- Proven ability to translate business and marketing strategy into technical decisioning logic.
- Solid understanding of Agile delivery, with familiarity in scaled Agile environments.
- Experience writing and managing business requirements and working as a proxy business stakeholder with IT teams.
- Comfortable validating logic using data analysis tools, APIs, and XML-based transactions.
- Confident communicator able to influence and manage senior internal stakeholders across marketing, technology, and operations.
To Apply for this Job Click Here
Pega Project Manager
$50 - $55
+ Advanced Analytics & Marketing Insights
ContractCalifornia
To Apply for this Job Click Here
- Pega Project Manager – Pega Customer Decision Hub
- $50-$55 per hour
- Contract through to end of 2028
- Fully remote
About the Opportunity
Our client is seeking a highly skilled Senior Project Management Technical Analyst with deep expertise in Pega Customer Decision Hub (CDH) Decisioning to join a dynamic and collaborative team. This individual will play a critical role in translating business and marketing strategies into decisioning solutions that drive personalized customer experiences across multiple channels.
The successful candidate will serve as the bridge between business stakeholders and technology teams, gathering and documenting requirements, managing projects through delivery, developing decisioning logic, and ensuring high-quality implementation through rigorous testing and validation.
This is an excellent opportunity for a professional who combines strong technical acumen, business analysis expertise, project leadership capabilities, and hands-on experience with Pega Decisioning.
Key Responsibilities
Decisioning Strategy & Development
-
Translate marketing offer strategies and business requirements into decisioning logic using Pega CDH.
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Design, build, maintain, and optimize customer decisioning strategies based on customer attributes, intent, eligibility, and business rules.
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Partner with Marketing, Sales, Customer Care, Finance, and Technology teams to ensure decisioning solutions align with business objectives.
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Maintain development standards and governance processes for ongoing decisioning enhancements.
Business Analysis & Requirements Management
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Gather, analyze, document, and validate business requirements from multiple stakeholders.
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Translate business objectives into detailed functional and technical requirements.
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Act as the primary business representative when working with development and technology teams.
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Evaluate technical solutions and ensure delivered functionality meets business expectations.
Project Management & Stakeholder Engagement
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Manage initiatives from concept through implementation and production deployment.
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Facilitate meetings, workshops, and stakeholder discussions to drive project progress.
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Maintain project documentation, process flows, and governance artifacts using SharePoint, Asana, and related tools.
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Consolidate complex information and present project updates and recommendations to senior leadership.
Testing & Quality Assurance
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Develop comprehensive test plans, test cases, and validation scenarios.
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Execute User Acceptance Testing (UAT) and regression testing for decisioning system changes.
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Investigate defects, analyze root causes, and collaborate with development teams on resolutions.
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Ensure decisioning strategies perform consistently and accurately across customer interactions.
Reporting & Documentation
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Create business-facing documentation and PowerPoint presentations to communicate project objectives, impacts, and outcomes.
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Maintain detailed process documentation and decisioning logic records.
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Support governance and audit requirements through accurate documentation practices.
Required Qualifications
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Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related technical discipline.
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Minimum of 5 years of experience in Marketing Technology, Decisioning, CRM, Business Analysis, Technical Project Management, or related fields.
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Strong hands-on experience with Pega Customer Decision Hub (CDH) and decisioning capabilities.
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Proven experience gathering, documenting, and managing business requirements.
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Experience working within Agile and/or Waterfall delivery methodologies.
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Demonstrated ability to manage multiple projects and stakeholders in a fast-paced environment.
-
Excellent verbal, written, presentation, and stakeholder management skills.
Technical Skills
Required
-
Pega Customer Decision Hub (CDH)
-
Business Requirements Documentation
-
User Acceptance Testing (UAT)
-
Regression Testing
-
Agile Methodology
-
Project Management
-
Stakeholder Management
-
Process Documentation
Preferred
-
SQL, SAS, or comparable data analysis tools
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XML transaction analysis and API testing
-
Programming concepts and logic development (Java, C, PHP, or similar)
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Marketing technology platforms such as Adobe and Unica
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CRM platforms including Salesforce, Oracle CRM, Clarify, or similar systems
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Microsoft Office Suite, including PowerPoint, Excel, and Visio
Desired Competencies
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Strong analytical and problem-solving abilities
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Ability to influence and drive consensus across cross-functional teams
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Exceptional organizational and prioritization skills
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High attention to detail
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Self-starter with a proactive approach to problem solving
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Adaptable and comfortable working through changing priorities
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Strong leadership and facilitation skills
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Team-oriented mindset with excellent interpersonal skills
To Apply for this Job Click Here
Senior Data Analyst
Liverpool
£80000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLiverpool, Merseyside
To Apply for this Job Click Here
Senior Data Analyst
£80,000 – £90,000
Remote (UK-Based Only)
As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.
THE COMPANY
They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.
THE ROLE
As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.
Specifically, you can expect to be involved in the following:
- Analysing customer behaviour, retention, churn, and lifecycle performance.
- Partnering with Product, Growth, CRM, Commercial, and Trading team.
- Translating ambiguous business challenges into structured analytical approaches.
- Building dashboards, reports, and decision-support tools.
- Supporting CRM and customer engagement strategies with data-driven insights.
- Identifying trends, risks, and commercial opportunities through analysis.
- Communicating insights clearly to both technical and non-technical audiences.
SKILLS AND EXPERIENCE
The successful Senior Data Analyst will have the following skills and experience:
- Strong SQL and core analytical capability.
- Experience across customer, commercial, CRM, or product analytics.
- Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
- Strong stakeholder management and communication skills.
- Strong BI and reporting experience.
- Comfortable working in fast-paced and ambiguous environments.
- Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.
BENEFITS
The successful Senior Data Analyst will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
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
Senior Data Analyst
Manchester
£80000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Analyst
£80,000 – £90,000
Remote (UK-Based Only)
As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.
THE COMPANY
They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.
THE ROLE
As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.
Specifically, you can expect to be involved in the following:
- Analysing customer behaviour, retention, churn, and lifecycle performance.
- Partnering with Product, Growth, CRM, Commercial, and Trading team.
- Translating ambiguous business challenges into structured analytical approaches.
- Building dashboards, reports, and decision-support tools.
- Supporting CRM and customer engagement strategies with data-driven insights.
- Identifying trends, risks, and commercial opportunities through analysis.
- Communicating insights clearly to both technical and non-technical audiences.
SKILLS AND EXPERIENCE
The successful Senior Data Analyst will have the following skills and experience:
- Strong SQL and core analytical capability.
- Experience across customer, commercial, CRM, or product analytics.
- Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
- Strong stakeholder management and communication skills.
- Strong BI and reporting experience.
- Comfortable working in fast-paced and ambiguous environments.
- Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.
BENEFITS
The successful Senior Data Analyst will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
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
Senior Data Analyst
Birmingham
£80000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentBirmingham, West Midlands
To Apply for this Job Click Here
Senior Data Analyst
£80,000 – £90,000
Remote (UK-Based Only)
As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.
THE COMPANY
They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.
THE ROLE
As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.
Specifically, you can expect to be involved in the following:
- Analysing customer behaviour, retention, churn, and lifecycle performance.
- Partnering with Product, Growth, CRM, Commercial, and Trading team.
- Translating ambiguous business challenges into structured analytical approaches.
- Building dashboards, reports, and decision-support tools.
- Supporting CRM and customer engagement strategies with data-driven insights.
- Identifying trends, risks, and commercial opportunities through analysis.
- Communicating insights clearly to both technical and non-technical audiences.
SKILLS AND EXPERIENCE
The successful Senior Data Analyst will have the following skills and experience:
- Strong SQL and core analytical capability.
- Experience across customer, commercial, CRM, or product analytics.
- Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
- Strong stakeholder management and communication skills.
- Strong BI and reporting experience.
- Comfortable working in fast-paced and ambiguous environments.
- Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.
BENEFITS
The successful Senior Data Analyst will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
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
Senior Data Analyst
London
£80000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Data Analyst
£80,000 – £90,000
Remote (UK-Based Only)
As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.
THE COMPANY
They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.
THE ROLE
As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.
Specifically, you can expect to be involved in the following:
- Analysing customer behaviour, retention, churn, and lifecycle performance.
- Partnering with Product, Growth, CRM, Commercial, and Trading team.
- Translating ambiguous business challenges into structured analytical approaches.
- Building dashboards, reports, and decision-support tools.
- Supporting CRM and customer engagement strategies with data-driven insights.
- Identifying trends, risks, and commercial opportunities through analysis.
- Communicating insights clearly to both technical and non-technical audiences.
SKILLS AND EXPERIENCE
The successful Senior Data Analyst will have the following skills and experience:
- Strong SQL and core analytical capability.
- Experience across customer, commercial, CRM, or product analytics.
- Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
- Strong stakeholder management and communication skills.
- Strong BI and reporting experience.
- Comfortable working in fast-paced and ambiguous environments.
- Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.
BENEFITS
The successful Senior Data Analyst will receive the following benefits:
- Salary between £80,000 – £90,000 – depending on experience
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
Senior Director of Lifecycle Marketing
Los Angeles
$180000 - $200000
+ Advanced Analytics & Marketing Insights
PermanentLos Angeles, California
To Apply for this Job Click Here
This leader will develop the overarching lifecycle strategy, build scalable retention systems, and lead cross-functional execution to improve both short-term revenue performance and long-term customer value. The ideal candidate brings deep experience owning lifecycle revenue and retention metrics, not simply campaign execution. They are analytical, highly strategic, and able to translate customer behavior into scalable programs that drive measurable business impact.
Responsibilities
Own Lifecycle Revenue and Retention Performance
- Lead lifecycle marketing as a core revenue channel with accountability for retention, repeat purchase rate, customer lifetime value (LTV), contribution margin, and subscriber revenue performance
- Develop strategies that maximize long-term customer value while supporting near-term business goals
Develop and Execute Lifecycle Strategy
- Create and lead a comprehensive lifecycle marketing strategy spanning onboarding, retention, engagement, and reactivation
- Align lifecycle initiatives with broader company revenue and profitability objectives
Optimize the Customer Journey
- Own and improve the end-to-end customer experience from first purchase through repeat purchases and subscription engagement
- Improve key metrics including product adoption, time to second purchase, retention, and overall customer engagement
Lead Subscription Growth Initiatives
- Drive subscription growth through improvements in conversion, post-purchase upsell, retention programs, and ongoing engagement strategies
- Optimize subscription economics including attach rate, churn reduction, and subscriber LTV
Manage Revenue Optimization Programs
- Partner cross-functionally to optimize pricing communication, promotional strategy, bundling, upsell/cross-sell initiatives, and incentive structures
- Balance conversion performance with profitability and brand positioning
Oversee Lifecycle Campaigns and Automation
- Own lifecycle campaign planning and execution across key customer touchpoints including welcome, cart abandonment, replenishment, post-purchase, and win-back programs
- Ensure lifecycle marketing supports major launches, promotional periods, and company initiatives
Drive Testing and Performance Optimization
- Build and manage a robust experimentation roadmap across lifecycle channels
- Continuously improve conversion, average order value (AOV), engagement, and revenue performance through testing and analysis
Own Lifecycle Platforms and Operations
- Manage lifecycle marketing platforms and tooling, ensuring strong execution across segmentation, automation, deliverability, reporting, and compliance
- Establish scalable operational processes and reporting frameworks
Lead Team and Cross-Functional Collaboration
- Build, mentor, and manage a high-performing lifecycle marketing team
- Partner closely with Growth, eCommerce, Product, Customer Experience, and Creative teams to ensure lifecycle initiatives are integrated into broader go-to-market efforts
Qualifications
- 8+ years of experience in lifecycle marketing, CRM, retention marketing, or related disciplines
- Proven experience owning lifecycle revenue, retention, or LTV metrics
- Experience within direct-to-consumer (DTC) or consumer-focused brands
- Strong background supporting subscription or repeat-purchase business models
- Experience building lifecycle programs and retention strategies from the ground up
- Hands-on experience with lifecycle marketing and automation platforms such as Klaviyo, Attentive, or similar tools
- Experience leveraging direct mail within performance marketing programs is a plus
- Strong leadership, communication, and cross-functional collaboration skills
- Highly analytical with a deep understanding of customer behavior and retention drivers
- Systems-oriented thinker who can connect lifecycle strategy with product, customer experience, pricing, and broader business objectives
To Apply for this Job Click Here
Data Engineering Manager
London
£100000 - £120000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
DATA ENGINEERING MANAGER
£120,000
LONDON
This is a unique opportunity to sit at the centre of a value creation function, shaping data platforms and AI capability across multiple businesses. You’ll combine hands-on engineering with strategic influence, working closely with senior leaders to drive real commercial impact.
THE COMPANY
Our client is a highly successful investment firm focused on the lower mid-market. They are known for strong fund performance and a long-term, hands-on approach to supporting their portfolio companies. Data, technology and AI are core to how they drive value, and this role has been created as part of continued investment in that capability.
You’ll be joining a growing value creation team that works directly with leadership teams across the portfolio, helping businesses modernise their data foundations and make better decisions.
THE ROLE
- Design, build and scale modern data platforms across portfolio companies
- Establish robust data engineering foundations to enable analytics and AI use cases
- Act as a technical and commercial advisor to senior stakeholders
- Support AI enablement, ensuring platforms are fit for future innovation
- Balance architecture, strategy and hands-on delivery across varied environments
This role offers rare exposure to multiple businesses at different stages of data maturity, with the opportunity to shape both strategy and execution.
YOUR SKILLS AND EXPERIENCE
- Strong background in data engineering with hands-on delivery experience
- Advanced SQL and Python skills
- Experience building end-to-end data platforms and scalable architectures
- Ability to communicate technical concepts clearly to non-technical stakeholders
- Commercially minded with experience prioritising work based on business impact
- Consulting, transformation or PE-backed experience is advantageous
SALARY AND BENEFITS
- £100,000 – £120,000 base salary
- Large discretionary bonus
- Pension scheme
- Hybrid working model
- Modern London office
HOW TO APPLY
Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.
To Apply for this Job Click Here
Customer Selections and Analytics Consultant
Stratford-upon-Avon
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentStratford-upon-Avon, Warwickshire
To Apply for this Job Click Here
Customer Selections & Analytics Consultant
£45,000 to £50,000
Stratford-upon-Avon (1 day per week on-site)
This is an excellent opportunity to join a well-established organisation investing in its customer data and campaign capabilities. You will play a key role in delivering data-driven marketing activity while gaining exposure to modern data platforms, customer analytics, and advanced campaign optimisation.
THE COMPANY
They are a highly regarded UK-based organisation operating across insurance and financial services, with a strong reputation for customer-centricity and long-term value.
THE ROLE
As a Customer Selections & Analytics Consultant you will sit within a specialist Customer Selections and Analytics team, working alongside SQL specialists and analytics professionals to deliver high-quality campaign selections and insights.
Specifically, you can expect to be involved in the following:
- Translating campaign briefs into structured technical requirements.
- Building and executing customer selections using SQL.
- Joining and manipulating large datasets across CRM, transactional and behavioural data.
- Supporting campaign deployment via API integrations with CRM platforms.
- Partnering with analytics teams to support test-and-learn initiatives and performance measurement.
- Planning and delivering selections aligned to campaign timelines and business priorities.
- Communicating insights clearly to stakeholders to support data-driven decisions.
SKILLS AND EXPERIENCE
The successful Customer Selections & Analytics Consultant will have the following skills and experience:
- Strong SQL skills and experience working with complex datasets.
- Background in campaign selections, CRM data or customer analytics.
- Ability to translate business requirements into technical outputs.
- Exposure to data visualisation tools such as Power BI or similar is beneficial.
BENEFITS
The successful Customer Selections & Analytics Consultant will receive the following benefits:
- Salary between £45,000 – £50,000 – depending on experience
- A 17.5% bonus and other benefits
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
Senior Full Stack Software Engineer
New York
$210000 - $225000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Senior Full Stack Software Engineer (AI and Analytics Platform)
New York – 4 Days Per Week in Office
Up to $225,000 + 20% Bonus
This is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one.
The Company
They are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven.
The Role
You will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.
- Build and deploy full stack applications that surface predictive analytics and ML insights
- Work directly with stakeholders to translate business requirements into production-ready features
- Develop backend services using Python and Node.js, alongside modern frontend frameworks such as React
- Contribute to AI and ML-driven functionality, including LLM-powered workflows
- Make architectural decisions and shape the platform as it scales
- Deliver high-quality, production-ready code in a fast-moving environment
- Collaborate closely with product and design in a highly iterative, feedback-driven process
Your Skills & Experience
- Strong commercial experience as a full stack engineer in product-focused environments
- Proficiency in Python for backend development; Node.js is beneficial
- Experience with React or similar modern frontend frameworks such as Angular or Vue
- Exposure to cloud platforms such as Azure, AWS, or GCP
- Experience building and deploying production-grade applications end to end
- Understanding of ML or AI concepts and how they integrate into applications
- Strong product mindset and ability to work closely with non-technical stakeholders
- Comfortable operating in small, ambiguous, high-ownership environments
What They Offer
- Opportunity to join a startup-style team within a well-funded organisation
- High level of ownership and influence over product and technical direction
- Exposure to AI, ML, and predictive analytics use cases in a commercial setting
- Collaborative, fast-paced environment with direct access to senior stakeholders
- Clear scope for progression as the team grows
How to Apply
If you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who’d be a great fit.
To Apply for this Job Click Here
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