Senior Technical Lead – AI & Product Engineering (Contract)
London / £600 - £800 day
INFO
RATE:
£600 - £800
LOCATION
London
Contract
Rate: £800/day Outside IR35
Duration: Initial 6-Month Contract
Location: London (Hybrid)
Office Attendance: 3 days per week onsite (West London)
Interview Process: 2 Stages
The Opportunity
We're supporting a major international organisation undergoing a significant digital transformation across its operations and supply chain functions.
This is a greenfield opportunity to join a newly formed engineering organisation responsible for building a suite of AI-powered internal products designed to replace manual processes, spreadsheets, and legacy workflows. The programme has strong executive backing, a growing engineering team, and a roadmap of multiple products with significant business impact.
The first product focuses on leveraging Generative AI and LLMs to automate document analysis, extract structured insights, identify commercial risks, and improve operational efficiency across critical business functions.
The Role
As a Senior Technical Lead, you'll provide architectural leadership across multiple engineering teams while working closely with product, data, AI, and business stakeholders.
This is primarily a technical leadership and architecture role rather than a hands-on development position. You'll be responsible for shaping technical strategy, driving engineering excellence, and ensuring scalable, reliable solutions are delivered across a rapidly expanding product portfolio.
Key Responsibilities
- Lead architecture and technical direction across multiple product teams
- Own solution design and engineering standards
- Translate business requirements into scalable technical solutions
- Drive delivery across AI, software engineering, and data teams
- Mentor engineers and promote best practices
- Ensure solutions are secure, scalable, and production-ready
- Lead technical workshops, whiteboarding sessions, and architectural reviews
- Work closely with stakeholders to define product roadmaps and priorities
- Balance rapid product delivery with long-term platform sustainability
Required Experience
We're particularly interested in candidates who can demonstrate:
- Proven experience leading engineering teams within enterprise environments
- Strong AWS architecture experience
- Deep understanding of modern software architecture and distributed systems
- Strong background in Python and FastAPI
- Experience designing and delivering AI-powered products
- Experience with Agentic AI frameworks such as LangGraph and LangChain
- Strong stakeholder management and communication skills
- Experience owning technical roadmaps and software delivery lifecycles
- Ability to operate across engineering, product, and business functions
Desirable Experience
- LLM applications and document-processing platforms
- Retrieval-Augmented Generation (RAG)
- React and Next.js
- Snowflake
- Airflow
- Data engineering and ETL pipelines
- Kubernetes and cloud-native infrastructure
- Supply chain, procurement, or operational systems
Ideal Background
Suitable candidates may come from:
- Product-led technology organisations
- Large-scale enterprise engineering environments
- AI-first startups
- Logistics and supply chain businesses
- Retail and e-commerce
- Insurance or other complex operational industries
We're looking for someone who combines strong architectural thinking with a pragmatic product mindset and is comfortable building systems from the ground up.
What They're Looking For
Beyond technical capability, the team values individuals who are:
- Strategic and commercially minded
- Strong communicators
- Comfortable operating in ambiguity
- Collaborative leaders
- Passionate about AI and modern software engineering
- Able to challenge assumptions and influence senior stakeholders
Interview Process
Stage 1: Technical architecture discussion focused on designing an AI-driven document processing platform.
Stage 2: Final interview with the hiring manager.
CONTACT
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Senior Data Scientist – Supply Chain Optimization (Contract)
London
£500 - £600
+ Data Science & AI
ContractLondon
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Rate: £500-600/day Outside IR35
Duration: Initial 6-Month Contract (Extension Likely)
Location: London (Hybrid)
Office Attendance: 2 days per week in the London office.
The Opportunity
We’re supporting a major UK retailer on a large-scale supply chain optimisation programme and are looking for a Senior Data Scientist with a strong background in Operational Research and optimisation.
This is not a Generative AI, NLP, or customer analytics role. Instead, you’ll be working on highly complex optimisation challenges that drive real-world operational decisions across a large supply chain network.
The programme has been running for several years and is viewed as a long-term strategic initiative, with further investment already secured.
The Role
You’ll be responsible for designing, developing and enhancing optimisation models that support large-scale supply chain decision-making.
Key Responsibilities
- Architecting and designing optimisation models for complex logistics and supply chain challenges
- Improving and scaling existing optimisation solutions
- Working closely with stakeholders to translate business problems into mathematical models
- Delivering solutions capable of handling billions of potential decision combinations
- Supporting the ongoing development of a critical optimisation platform used across the organisation
Required Experience
We’re particularly interested in candidates who can demonstrate:
- Strong experience in optimisation, Operational Research, or mathematical modelling
- Experience solving real-world supply chain, logistics, inventory, transportation, or network optimisation problems
- Hands-on experience with optimisation platforms such as AIMMS, AMPL, Gurobi, CPLEX, FICO Xpress, or similar
- Strong Python skills
- Experience working with large-scale optimisation problems where solution quality and performance are critical
- A strong academic background in Mathematics, Operational Research, Statistics, Engineering, Computer Science, or a related discipline
Ideal Background
Suitable candidates may come from:
- Retail
- Logistics
- Transportation
- Manufacturing
- Supply Chain Technology
- Warehousing & Distribution
- Airline Operations
- E-commerce Fulfilment
A PhD is not essential, but candidates will typically possess strong mathematical and analytical depth. Those with PhD research linked to real-world optimisation problems are highly encouraged to apply.
What They’re Looking For
Beyond technical expertise, the team values individuals who are:
- Naturally curious
- Proactive problem solvers
- Comfortable challenging assumptions
- Strong communicators who ask the right questions
- Passionate about solving complex operational problems
Interview Process
- 1-2 stage interview process
- Quick turnaround on feedback
- Immediate requirement

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Senior Technical Lead – AI & Product Engineering (Contract)
London
£600 - £800
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Rate: £800/day Outside IR35
Duration: Initial 6-Month Contract
Location: London (Hybrid)
Office Attendance: 3 days per week onsite (West London)
Interview Process: 2 Stages
The Opportunity
We’re supporting a major international organisation undergoing a significant digital transformation across its operations and supply chain functions.
This is a greenfield opportunity to join a newly formed engineering organisation responsible for building a suite of AI-powered internal products designed to replace manual processes, spreadsheets, and legacy workflows. The programme has strong executive backing, a growing engineering team, and a roadmap of multiple products with significant business impact.
The first product focuses on leveraging Generative AI and LLMs to automate document analysis, extract structured insights, identify commercial risks, and improve operational efficiency across critical business functions.
The Role
As a Senior Technical Lead, you’ll provide architectural leadership across multiple engineering teams while working closely with product, data, AI, and business stakeholders.
This is primarily a technical leadership and architecture role rather than a hands-on development position. You’ll be responsible for shaping technical strategy, driving engineering excellence, and ensuring scalable, reliable solutions are delivered across a rapidly expanding product portfolio.
Key Responsibilities
- Lead architecture and technical direction across multiple product teams
- Own solution design and engineering standards
- Translate business requirements into scalable technical solutions
- Drive delivery across AI, software engineering, and data teams
- Mentor engineers and promote best practices
- Ensure solutions are secure, scalable, and production-ready
- Lead technical workshops, whiteboarding sessions, and architectural reviews
- Work closely with stakeholders to define product roadmaps and priorities
- Balance rapid product delivery with long-term platform sustainability
Required Experience
We’re particularly interested in candidates who can demonstrate:
- Proven experience leading engineering teams within enterprise environments
- Strong AWS architecture experience
- Deep understanding of modern software architecture and distributed systems
- Strong background in Python and FastAPI
- Experience designing and delivering AI-powered products
- Experience with Agentic AI frameworks such as LangGraph and LangChain
- Strong stakeholder management and communication skills
- Experience owning technical roadmaps and software delivery lifecycles
- Ability to operate across engineering, product, and business functions
Desirable Experience
- LLM applications and document-processing platforms
- Retrieval-Augmented Generation (RAG)
- React and Next.js
- Snowflake
- Airflow
- Data engineering and ETL pipelines
- Kubernetes and cloud-native infrastructure
- Supply chain, procurement, or operational systems
Ideal Background
Suitable candidates may come from:
- Product-led technology organisations
- Large-scale enterprise engineering environments
- AI-first startups
- Logistics and supply chain businesses
- Retail and e-commerce
- Insurance or other complex operational industries
We’re looking for someone who combines strong architectural thinking with a pragmatic product mindset and is comfortable building systems from the ground up.
What They’re Looking For
Beyond technical capability, the team values individuals who are:
- Strategic and commercially minded
- Strong communicators
- Comfortable operating in ambiguity
- Collaborative leaders
- Passionate about AI and modern software engineering
- Able to challenge assumptions and influence senior stakeholders
Interview Process
Stage 1: Technical architecture discussion focused on designing an AI-driven document processing platform.
Stage 2: Final interview with the hiring manager.

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Contract MLOps Engineer – Outside IR35
London
£400 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote
We’re supporting a business looking for an experienced MLOps Engineer to help scale and productionise machine learning solutions. You’ll be responsible for building robust deployment pipelines, improving model monitoring, and ensuring ML systems are reliable, secure, and performant in production.
Key Responsibilities
- Build and maintain ML deployment pipelines.
- Develop CI/CD processes for machine learning models.
- Implement model monitoring, observability, and alerting.
- Manage cloud-based infrastructure and containerised environments.
- Collaborate with Data Scientists and Engineers to productionise models.
- Improve platform scalability, reliability, and automation.
Key Skills
- Strong Python experience.
- MLOps tooling (MLflow, Kubeflow, SageMaker, or similar).
- Docker and Kubernetes.
- CI/CD tooling (GitHub Actions, GitLab CI, Azure DevOps).
- Cloud platforms (AWS, Azure, or GCP).
- Infrastructure as Code (Terraform preferred).
- Monitoring tools such as Prometheus or Grafana.
Contract: 3 Months | £600/day Outside IR35

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Contract Machine Learning Engineer – Outside IR35
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Rate: £600 per day (Outside IR35)
Contract Length: 3 Months
Location: Hybrid / Remote
An opportunity for an experienced Machine Learning Engineer to join a growing data team delivering innovative ML solutions. You’ll work closely with stakeholders to develop, deploy, and optimise machine learning models that drive business outcomes.
Key Responsibilities
- Design, build, and deploy machine learning models.
- Develop scalable data and feature engineering pipelines.
- Optimise model performance and production readiness.
- Work with large datasets to solve complex business challenges.
- Collaborate with Data Scientists, Engineers, and Product teams.
- Support model testing, validation, and deployment.
Key Skills
- Strong Python and SQL skills.
- Experience building and deploying ML models in production.
- Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch).
- Data engineering and pipeline development experience.
- Cloud experience (AWS, Azure, or GCP).
- Strong understanding of software engineering best practices.
- Experience working in agile environments.
Contract: 3 Months | £600/day Outside IR35

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Full Stack Engineer
City of London
£70000 - £80000
+ Data Engineering
PermanentCity of London, London
To Apply for this Job Click Here
Full Stack Engineer
London (Hybrid, minimum 3 days per week) | Up to £80,000 + Bonus + Benefits
This is an opportunity to join a growing technology business building an AI-powered platform that is transforming how complex, data-intensive work is completed. You’ll play a key role in shaping both the product and engineering direction, working across the full stack to deliver innovative solutions in a fast-moving environment with significant ownership from day one.
The Company
They are a well-funded technology business developing an enterprise AI platform that helps organisations manage data, automate workflows, and make better decisions at scale. Working at the intersection of software engineering, AI, and user experience, they are building products that solve complex real-world challenges.
The team is collaborative, highly technical, and focused on delivering high-quality software. With strong leadership support and ambitious growth plans, this is an excellent opportunity to join at an exciting stage of development and have a genuine impact on product success.
The Role
You will build and ship features end-to-end, working across frontend, backend, cloud infrastructure, and database layers.
Responsibilities include:
- Developing and delivering full-stack product features using React, TypeScript, Python, PostgreSQL, and AWS
- Building scalable APIs and backend services using modern Python frameworks
- Designing and improving intuitive, data-rich user interfaces
- Modelling and optimising data structures and database performance
- Implementing secure authentication, permissions, and multi-tenant architecture
- Contributing to cloud infrastructure, CI/CD pipelines, and engineering best practices
- Working closely with product, design, and engineering teams to define and deliver solutions
- Integrating AI-powered capabilities into enterprise software products
- Supporting technical decision-making and influencing system architecture
- Ensuring solutions are secure, reliable, and maintainable
Your Skills & Experience
- Strong commercial experience as a Full Stack Engineer delivering production software
- Advanced React and TypeScript development skills
- Strong backend development experience using Python, ideally with FastAPI or Django
- Expertise in PostgreSQL, data modelling, and SQL optimisation
- Experience building authentication, user permissions, and multi-tenant applications
- Knowledge of AWS or other cloud platforms
- Experience with containers and CI/CD practices
- Ability to make sound architectural and technical decisions
- Familiarity with AI-assisted development tools such as Cursor or Claude Code
Desirable experience:
- Next.js or Node.js
- LLM-powered applications and AI product features
- LangChain, LangGraph, MCP, or related AI tooling
- WebSockets, Redis, search technologies, or event-driven architectures
- Kubernetes, Terraform, or regulated industry environments
What They Offer
- High levels of ownership and autonomy
- Direct exposure to senior leadership
- The opportunity to work on cutting-edge AI and software engineering challenges
- Clear career progression within a growing organisation
- Modern central London office with a collaborative engineering culture
How to Apply
If you’re a Full Stack Engineer who enjoys building products from the ground up and wants to work with modern technologies including React, TypeScript, Python, AWS, and AI-powered systems, apply today to learn more about this opportunity.

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AI Engineer
London
£130000 - £160000
+ Data Science & AI
PermanentLondon
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AI Engineer
London (Hybrid/In-Office) | £130,000 – £160,000
This is an opportunity to join a high-calibre engineering team building production-grade AI systems that solve complex, real-world business challenges. You’ll work on cutting-edge LLM applications, agentic workflows, retrieval systems, and AI infrastructure, with the chance to influence technical direction and contribute to a fast-growing product at the forefront of applied artificial intelligence.
The Company
They are a rapidly growing technology business developing AI-powered solutions that help organisations unlock value from complex, data-rich environments. Their platform combines advanced machine learning, large language models, and workflow automation to support critical decision-making processes.
The Role
- Build and deploy agentic AI workflows using tools such as LangGraph and LangChain.
- Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies.
- Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning.
- Create evaluation frameworks and observability tooling to monitor AI performance, quality, and cost.
- Engineer scalable backend services using Python, FastAPI, cloud technologies, and modern software engineering practices.
Your Skills & Experience
- Strong commercial experience developing software and AI applications in Python.
- Hands-on experience building and deploying LLM, generative AI, or machine learning systems in production.
- Expertise with LangGraph, LangChain, or similar orchestration frameworks.
- Experience designing and improving RAG architectures and vector database solutions.
- Knowledge of AI evaluation, observability, and cloud-based software engineering best practices.
How to Apply
If you’re an AI/ML Engineer looking to work on advanced AI products and tackle complex technical challenges, apply today to find out more about this opportunity.

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Data Analyst/Scientist
Windsor
£45000 - £60000
+ Advanced Analytics & Marketing Insights
PermanentWindsor, Berkshire
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Data Analyst/Scientist
Location: Windsor (3-4 days onsite)
Salary: Up to £60,000
An exciting opportunity for a Data Analyst/Scientist to join a growing organisation and help develop its data and analytics capabilities.
Working within a small team, you will analyse complex datasets, improve data quality and deliver insights to support business decision-making.
Key responsibilities:
-
Analysing and interpreting data to identify trends and opportunities.
-
Developing data models, reports and dashboards.
-
Supporting forecasting and predictive analytics.
-
Improving data quality and reporting processes.
-
Working with stakeholders to deliver data-driven solutions.
About you:
-
Strong SQL and analytical skills.
-
Experience in data analysis, modelling or data science.
-
Experience with forecasting and predictive analytics.
-
Exposure to Power BI and modern data platforms such as Snowflake.
-
STEM-related degree.
This is an excellent opportunity for a commercially minded, hands-on individual to join a growing team and make a real impact.
Find out more and apply via the link below!

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Customer Analytics Manager
London
£55000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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Customer Analytics Manager
Salary: Up to £70,000 | Hybrid – 2 days per week in London
We’re looking for a Customer Analytics Manager to join a leading UK fashion retailer and play a key role in developing its customer insight and analytics capabilities.
You’ll join a growing team working on a central data and insight platform, helping connect customer data across stores, digital channels and loyalty to drive smarter commercial decisions.
The Role
-
Own the customer analytics agenda, delivering insight across customer behaviour, retention, loyalty, profitability and lifetime value.
-
Lead customer reporting, deep-dive analysis and customer segmentation.
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Apply advanced analytics techniques, including clustering, regression and predictive modelling.
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Measure campaign effectiveness and identify opportunities to improve customer engagement and commercial performance.
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Translate complex data into clear, actionable recommendations for senior stakeholders.
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Partner with teams across the business to embed data-driven decision-making.
About You
-
Strong SQL skills and experience with data visualisation.
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A solid background in customer analytics, customer insight or CRM analytics.
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Experience with segmentation, clustering, predictive modelling and campaign measurement.
-
Strong commercial acumen and stakeholder management skills.
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Python experience is advantageous, particularly for candidates from a Lead Analyst background.
-
Previous line management experience is desirable.
What’s on Offer?
-
Salary up to £70,000 plus benefits.
-
Hybrid working, with 2 days per week in East London.
-
The opportunity to shape customer analytics within a major UK retail business.
Interested? Apply now or get in touch to find out more.
Find out more and apply via the link below!

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AI/ML Engineer
London
£100000 - £130000
+ Data Science & AI
PermanentLondon
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AI/ML Engineer
Up to £160,000
King’s Cross, London (3 days a week)
This is an opportunity to join a well-funded AI business at a pivotal stage of growth, building production-grade AI systems that solve complex, real-world problems. You’ll work on agentic AI, retrieval systems, evaluation frameworks and enterprise-scale LLM applications, with the chance to influence both technology decisions and product direction.
THE COMPANY
They are an ambitious technology business developing an AI-powered platform that helps investment professionals access information, automate complex workflows and make better decisions at scale. Their platform combines proprietary data, external sources and advanced AI capabilities within a secure enterprise environment.
Backed by an established organisation with deep domain expertise and a strong client network, they offer the agility of a startup alongside the stability and resources of a proven business. The engineering team is being built with a strong emphasis on ownership, collaboration and technical excellence.
THE ROLE
As a AI/ML Engineer, you will help design, build and operate the LLM-powered systems at the core of the platform, taking AI products from experimentation to reliable production deployment.
Specifically, you can expect to be involved in the following:
- Building multi-step AI agent workflows using modern orchestration frameworks
- Developing production-scale retrieval augmented generation (RAG) systems
- Creating evaluation frameworks, testing infrastructure and monitoring capabilities for AI applications
- Designing retrieval pipelines including embeddings, vector search, reranking and knowledge retrieval
- Working with graph-based retrieval and data modelling approaches
- Optimising AI systems for accuracy, latency, scalability and cost efficiency
- Integrating leading foundation models into production environments
- Collaborating closely with engineering leadership to shape technical direction
- Mentoring engineers and helping establish best practices for AI development at Lead level
- Contributing across the full software development lifecycle using Python and cloud-based infrastructure
SKILLS AND EXPERIENCE
The successful AI/ML Engineer will have the following skills and experience:
- Strong Python software engineering expertise
- Commercial experience developing and deploying LLM or machine learning systems
- Hands-on experience with LangGraph, LangChain or similar agent orchestration frameworks
- Strong RAG experience, including embeddings, chunking strategies, vector databases and retrieval evaluation
- Understanding of graph-based retrieval approaches or graph data modelling principles
- Experience with evaluation-led AI development, testing frameworks and regression controls
- Regular use of AI-assisted development tools such as Cursor, Claude Code or similar
- Ability to balance model performance, reliability, security and operating costs in production systems
Desirable skills include:
- Qdrant, Weaviate or pgvector
- Neo4j, GraphRAG and Cypher
- MCP server development
- LangSmith, LangFuse or similar observability platforms
- Fine-tuning, embedding model selection or open-weight model deployment
- Experience working with complex document-heavy environments
BENEFITS
The successful AI/ML Engineer will receive the following benefits:
- Salary up to £130,000 – 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
Full Stack Engineer
Nottingham
£60000 - £80000
+ Data Engineering
PermanentNottingham, Nottinghamshire
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Full Stack Engineer
£60,000 – £80,000
King’s Cross, London (3 days a week)
This is an opportunity to join a high-growth technology business developing AI-powered software for enterprise clients. Working as part of a senior, high-performing engineering team, you will play a key role in building and scaling a sophisticated platform that combines modern software engineering with cutting-edge AI capabilities. You’ll have significant ownership, direct influence on product direction, and the chance to work on technically complex challenges from day one.
THE COMPANY
They are a technology-led organisation developing innovative software solutions that help businesses unlock greater value from their data, workflows, and decision-making processes. Their platform combines AI, automation, and enterprise-grade engineering to deliver impactful products for a demanding client base. Operating with a collaborative and high-accountability culture, they offer engineers the opportunity to work closely with senior leadership and contribute directly to product growth. Their environment encourages ownership, technical excellence, and continuous learning.
THE ROLE
As a Full Stack Engineer, you will build and scale an AI-powered enterprise platform, owning end-to-end product development across React, Python, AWS, and modern cloud technologies.
Specifically, you can expect to be involved in the following:
- Design, build, and deliver full-stack product features across frontend, backend, and database layers
- Develop complex user interfaces using TypeScript and React
- Build and maintain scalable Python services and REST APIs using FastAPI or Django
- Design and optimise PostgreSQL databases, including schema design, migrations, and query performance
- Develop secure authentication, authorisation, and access control systems for enterprise applications
- Build integrations with third-party platforms such as Microsoft 365, CRMs, HR systems, and document management tools
- Collaborate with AI specialists to deliver AI-enabled product features and workflows
- Create reliable event-driven services, background processing systems, and real-time application functionality
- Contribute to cloud-native applications running on AWS
- Champion software quality through testing, code reviews, security best practices, and CI/CD processes
SKILLS AND EXPERIENCE
The successful Full Stack Engineer will have the following skills and experience:
- Strong commercial experience building full-stack applications in production environments
- Advanced TypeScript and React development skills
- Strong Python backend development experience using FastAPI, Django, or similar frameworks
- Excellent PostgreSQL and SQL expertise, including data modelling and optimisation
- Experience building secure authentication and role-based access control systems
- Knowledge of AWS or comparable cloud platforms
- Experience with containers, CI/CD, and modern engineering practices
- Strong understanding of scalable software architecture and technical decision-making
- Experience using AI development tools and an interest in AI-enabled software products
Desirable experience includes:
- Next.js and Node.js
- Redis, WebSockets, OpenSearch, or Elasticsearch
- Background processing frameworks such as Celery
- Kubernetes or Terraform
- LLM-powered applications and AI workflow development
- Experience in regulated or security-focused environments
BENEFITS
The successful Full Stack Engineer will receive the following benefits:
- Salary between £60,000 – £80,000 – 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
Donor Engagement & Retention (CRM) Manager
Nottingham
£35000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentNottingham, Nottinghamshire
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Donor Engagement & Retention (CRM) Manager
Up to £50,000
Nottingham (1 day a week)
This is an exciting opportunity to build a donor engagement and retention function from the ground up. You will have the autonomy to shape strategy, influence supporter experiences, and drive long-term donor relationships across multiple channels while making a meaningful impact within a purpose-led organisation.
THE COMPANY
They are a well-established non-profit organisation committed to supporting communities facing poverty, crisis, and humanitarian challenges around the world. With a strong supporter base and ambitious growth plans, they are investing in donor engagement to create deeper, more meaningful relationships with their donors. Collaboration, innovation, and supporter-centric thinking are at the heart of their approach. This newly created role offers the chance to make a lasting impact on fundraising performance and donor experience.
THE ROLE
As a Donor Engagement & Retention (CRM) Manager, you will shape and lead a donor engagement strategy from the ground up, driving supporter retention and long-term fundraising growth.
Specifically, you can expect to be involved in the following:
- Develop and lead a donor retention strategy across one-off donors, regular supporters, major donors, and lapsed donors.
- Design and optimise multi-channel supporter journeys, including onboarding, stewardship, feedback, and re-engagement programmes.
- Work closely with fundraising, marketing, and operational teams to deliver seamless donor experiences.
- Use audience insight and performance data to create targeted engagement strategies for different supporter segments.
- Monitor retention metrics and KPIs, providing regular performance reporting and actionable recommendations.
- Manage and oversee donor care activities, ensuring high standards of supporter service and engagement.
- Lead donor feedback initiatives to strengthen supporter relationships and improve future campaigns.
- Support compliance with fundraising regulations and liaise with relevant industry bodies where required.
- Champion a donor-first approach across all communications and engagement activities.
SKILLS AND EXPERIENCE
The successful Donor Engagement & Retention (CRM) Manager will have the following skills and experience:
- Strong experience within fundraising, donor engagement, donor retention, or supporter development.
- Proven ability to create and implement retention strategies and supporter journeys.
- Experience using channels such as email, SMS, web, social media, telemarketing, messaging platforms, or donor apps.
- Excellent analytical skills with the ability to interpret retention metrics and audience insights.
- Strong stakeholder management and cross-functional collaboration experience.
- Confident communication skills with the ability to influence and engage a range of audiences.
- Knowledge of UK fundraising regulations and donor stewardship best practice.
- A proactive and self-motivated approach, with the ability to shape and develop a new function.
BENEFITS
The successful Donor Engagement & Retention (CRM) Manager will receive the following benefits:
- Salary up to £50,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Head of Content & Creative
Nottingham
£50000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentNottingham, Nottinghamshire
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Head of Content & Creative
Up to £65,000
Nottingham (1 day a week)
This is an opportunity to lead and shape the global content and creative strategy for a purpose-led organisation undergoing a significant transformation. With an established creative team already in place, the focus is on bringing strategic direction, elevating storytelling, and ensuring content drives meaningful engagement and commercial outcomes across multiple markets.
THE COMPANY
They are a well-established international organisation operating across multiple countries, delivering impactful programmes and services that make a tangible difference to communities worldwide. Following a major organisational transformation, they are centralising their fundraising and marketing capabilities to create a more coordinated global function. As part of this growth, they are investing in leadership talent to build scalable marketing operations, strengthen brand consistency, and support ambitious fundraising objectives. This newly created position will play a central role in shaping how the organisation communicates its story internationally.
THE ROLE
As a Head of Content & Creative, you will take ownership of content and creative strategy across international markets, helping to connect audiences with meaningful stories while supporting acquisition, engagement, and retention objectives.
Specifically, you can expect to be involved in the following:
- Developing and leading the global content and communications strategy.
- Creating compelling storytelling frameworks that translate complex topics into engaging content.
- Providing strategic leadership to an established team covering content, social media and creative delivery.
- Driving content across digital and offline channels, including websites, email, social media, SMS and print.
- Leading organic social media strategy and ensuring content is tailored for different audiences and markets.
- Managing influencer and content creator initiatives to strengthen audience engagement.
- Maintaining brand consistency while allowing flexibility for local market requirements.
- Collaborating closely with marketing, fundraising and retention teams to support wider organisational goals.
- Using audience insight and performance data to improve content effectiveness and engagement.
SKILLS AND EXPERIENCE
The successful Head of Content & Creative will have the following skills and experience:
- Strong experience developing content strategy and brand storytelling.
- Proven ability to lead and develop content, creative or editorial teams.
- Experience creating content across multiple channels and customer touchpoints.
- Strong understanding of audience segmentation, content performance and engagement metrics.
- Ability to balance strategic leadership with hands-on guidance and execution.
- Experience working across multiple markets, regions or audiences would be advantageous.
- Strong editorial judgement and attention to detail.
- Ability to work effectively with a broad range of stakeholders and priorities.
- Experience within charity, non-profit or purpose-led environments is beneficial but not essential.
BENEFITS
The successful Head of Content & Creative will receive the following benefits:
- Salary up to £65,000 – 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
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