INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
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- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
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- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
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- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
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- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
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- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
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- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
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- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Operations Analytics Lead
London
£100000 - £100000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.
The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.
The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.
You will:
- Define and deliver the data and insights strategy for the operations function.
- Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
- Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
- Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
- Design and oversee analytical approaches for major transformation and optimisation initiatives.
- Translate complex business challenges into structured analytical solutions and actionable recommendations.
- Drive best practice across SQL development, reporting, analytics, and data governance.
- Champion self-service reporting and scalable data solutions to improve business efficiency.
- Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.
Your Skills & Experience
- Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
- Proven people management experience, including mentoring, coaching, and developing analysts.
- Advanced SQL skills and the ability to work confidently with large, complex datasets.
- Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
- Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
- Experience with data visualisation tools such as Tableau, Looker, or Power BI.
- Ability to communicate complex analytical findings to senior and executive stakeholders.
- Commercial mindset with a track record of using data to influence business outcomes.
- Python experience for analysis or automation would be advantageous.
To Apply for this Job Click Here
MarTech Transformation Lead – Contract
London
£600 - £700
+ Digital Analytics
ContractLondon
To Apply for this Job Click Here
MarTech Transformation Lead – Contract
Consultancy – FS Client
£600-£700 per day – Inside IR35
London – 2 days per week in office
This is an opportunity to shape the future of AI-driven customer engagement within a major financial services environment. Working at the centre of a large-scale MarTech transformation, you will define the technology strategy, architecture and platform ecosystem that enables personalised, data-driven marketing at scale.
The Company
They are a specialist data and technology consultancy delivering complex transformation programmes for leading organisations. Their work focuses on helping clients modernise their marketing technology capabilities, unlock greater value from customer data, and build the foundations for AI-powered decision-making. Operating at the intersection of data, technology and customer experience, they partner with senior stakeholders to deliver lasting business change.
The Role and Deliverables
- Define the target MarTech architecture to support AI-enabled marketing, customer engagement and personalisation initiatives
- Lead the assessment of existing marketing technology capabilities, identifying opportunities to optimise platforms, integrations and customer data flows
- Develop strategic roadmaps across MarTech, data, analytics and AI ecosystems, aligning technology investments with business goals
- Drive integration strategies between customer data platforms, campaign management tools, CRM systems, digital channels and enterprise data platforms
- Provide architectural leadership and governance across a complex network of marketing, data and technology stakeholders
- Support the development of scalable operating models that maximise the value of AI, automation and next-generation marketing technologies
Your Skills & Experience
- Strong experience delivering enterprise-scale MarTech transformation programmes within complex organisations
- Deep understanding of customer data platforms, marketing automation, CRM, campaign orchestration and customer engagement technologies
- Expertise in designing and governing MarTech architectures, including platform integration, API strategies and data enablement
- Experience connecting marketing technology ecosystems with enterprise data platforms, analytics capabilities and AI solutions
- Strong knowledge of AI applications within marketing, including personalisation, audience activation, decisioning and agentic technologies
- Ability to engage and influence senior stakeholders across marketing, technology, data and business functions
- Experience developing target-state architectures, operating models and transformation roadmaps
- Exposure to leading MarTech platforms such as Adobe Experience Cloud, Salesforce Marketing Cloud, Pega, Braze, Tealium, Workfront, Microsoft Customer Insights or similar technologies would be highly advantageous
How to Apply
If you are a MarTech Transformation Leader with a strong background in marketing technology architecture, customer data and AI-enabled customer engagement, we’d love to hear from you. Apply today to discuss this contract opportunity in more detail.
MarTech Lead / MarTech Architecture / Marketing Technology Strategy / Customer Data & Analytics / CRM & Customer Engagement / Adobe MarTech Stack / AI Personalisation / Marketing Platform Integration / Data-Driven Marketing / Digital Transformation
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Head of Data Science
London
£120000 - £140000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF DATA SCIENCE
SALARY BETWEEN £120,000 – £140,000 + EQUITY
HYBRID WORKING (3 DAYS A WEEK IN-OFFICE)
LONDON
Harnham are working with a high-growth fintech business that is transforming the customer lending journey through a highly digital, data-led platform. This is a rare opportunity for an experienced data science leader to take ownership of modelling strategy while remaining hands-on in delivery.
THE COMPANY
This high-growth fintech is reshaping the customer lending experience through a digital-first platform, leveraging advanced data science, AI and automation to deliver faster, smarter decisions for customers. With a strong focus on technology and innovation, the business has embedded machine learning and AI across multiple areas of the organisation and continues to invest heavily in its data capabilities as it scales. This is an opportunity to join a collaborative and ambitious environment where data science sits at the heart of business strategy and product development.
THE ROLE
This is a highly impactful individual contributor role with strategic responsibility for the direction of data science. You will own the development of predictive models, AI solutions and decisioning capabilities that directly influence customer outcomes and commercial performance.
Specifically, you can expect to be involved in:
- Developing and enhancing predictive machine learning models for decisioning, risk and recommendation use cases.
- Building and deploying AI and agent-based solutions into production environments.
- Designing data science strategies that balance customer experience, operational efficiency and commercial objectives.
- Working closely with product, engineering and business stakeholders to deliver measurable impact.
- Driving experimentation, monitoring model performance and identifying new opportunities for advanced analytics.
SKILLS AND EXPERIENCE
The successful Head of Data Science must have the following skills and experience:
- Proven experience building and deploying machine learning models in commercial environments.
- Strong Python and SQL skills with experience working across modern cloud-based data platforms.
- Practical experience with AI agents, LLM applications or agentic workflows.
- Background within consumer-focused businesses where recommendation, decisioning or personalisation models have been applied.
- Experience operating in fast-paced, evolving environments with a hands-on approach to delivery.
- Strong academic background in a STEM subject such as Computer Science, Engineering, Mathematics or a related discipline.
BENEFITS
The successful Head of Data Science will receive a salary between £120,000 – £140,000 plus equity.
To Apply for this Job Click Here
Credit Risk Manager
London
£50000 - £100000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK MANAGER
SALARY BETWEEN £65,000 – £100,000
FULLY REMOTE
LONDON
Harnham are working with a mission-driven fintech lender that is using innovative credit solutions to support underserved small businesses. This is an opportunity to join a growing organisation where you can play a key role in shaping credit strategy and portfolio performance.
THE COMPANY
Harnham are partnered with a purpose-led fintech lender focused on driving financial inclusion through responsible lending. The business provides funding solutions to underserved small businesses, helping entrepreneurs access the capital they need to establish and grow sustainable operations. Operating in a high-impact, data-driven environment, the organisation combines technology, analytics and innovative credit strategies to deliver meaningful outcomes while supporting economic growth in emerging markets.
THE ROLE
This Credit Risk Manager position sits at the heart of the credit function, leading portfolio strategy, risk performance analysis and lending optimisation initiatives. You will work closely with analytics, engineering, product and business stakeholders to improve portfolio outcomes across the customer lifecycle.
Specifically, you can expect to be involved in:
- Developing and refining portfolio management and credit risk strategies.
- Monitoring portfolio performance, identifying trends and recommending strategic actions.
- Supporting the development and enhancement of lending policies and risk frameworks.
- Partnering with data, product and technology teams to implement analytical and decisioning solutions.
- Driving collections and recovery strategy improvements across the customer lifecycle.
SKILLS AND EXPERIENCE
The successful Credit Risk Manager must have the following skills and experience:
- Proven experience in credit risk strategy, portfolio management or lending policy within financial services or fintech.
- Strong quantitative background with a degree in a STEM-related subject such as Mathematics, Statistics, Economics or a similar field.
- Proficiency in Python for analytics, modelling and data-driven decision making.
- Experience working with credit risk analytics, portfolio performance monitoring and forecasting techniques.
- Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
BENEFITS
The successful Credit Risk Manager will receive a salary between £50,000 – £100,000.
To Apply for this Job Click Here
Head of Data Science
London
£120000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Head of Data Science
London (Hybrid) | £120,000 – £140,000
This is an opportunity to lead and build a data science function within a fast-growing fintech where AI, machine learning, and data-driven decisioning sit at the heart of the business. You’ll have the autonomy to shape strategy, deploy models into production, and directly influence commercial outcomes.
The Company
A technology-led financial services business is investing heavily in data science and AI to enhance risk assessment, affordability modelling, and customer decisioning. Operating in a fast-paced environment, they are focused on building scalable, intelligent solutions that improve both business performance and customer experience. This role offers significant visibility and the chance to work closely with senior leadership on critical business challenges.
The Role
- Own the data science strategy across risk, affordability, and lending decisioning.
- Design, build, and deploy machine learning models using credit risk, Open Banking, and customer data.
- Work closely with Product, Engineering, Credit Risk, and Operations teams to deliver measurable business impact.
- Drive best practice across AI, model governance, deployment, monitoring, and performance reporting.
Your Skills & Experience
- Strong commercial experience in credit risk modelling within UK consumer lending.
- Hands-on expertise in machine learning, Python, and SQL.
- Experience deploying production-ready models and working within modern cloud and MLOps environments.
- Knowledge of Open Banking data and affordability assessment.
- Exposure to LLMs, agentic AI, or AI-powered decisioning solutions.
- Ability to communicate complex technical concepts to a range of stakeholders and balance commercial objectives with risk management.
How to Apply
If you’re looking for a Head of Data Science position where you can combine strategic ownership with hands-on model development in a high-growth environment, please apply to learn more.
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Fraud Analyst
London
£400 - £400
+ Risk Analytics
ContractLondon
To Apply for this Job Click Here
Fraud Analyst
Remote 3 month Contract | Inside IR35 | £300 per day
This is an opportunity to join a growing decision intelligence function focused on strengthening fraud prevention and financial crime controls. You will play a key role in improving fraud decisioning, helping to build scalable processes, optimise rule performance, and support a data-driven approach to risk management.
The Company
They are a technology-driven organisation operating within a regulated financial services environment. As they continue to enhance their fraud and financial crime capabilities, they are investing in more sophisticated decisioning processes and controls. Working across risk, product, engineering, compliance, and data teams, they are building scalable solutions that support effective risk management and operational resilience. This contract offers the chance to make a meaningful impact on a critical business function.
The Role and Deliverables
- Support the end-to-end fraud rule lifecycle, including analysis, testing, deployment, monitoring, optimisation, and rollback.
- Analyse fraud patterns, alert trends, false positives, false negatives, and rule performance to identify opportunities for improvement.
- Translate operational insights and stakeholder requirements into structured and data-driven fraud rule proposals.
- Work closely with decisioning platforms and fraud rule engines to improve fraud detection capabilities.
- Monitor post-deployment rule performance and recommend adjustments based on measurable outcomes.
- Maintain clear documentation covering rule logic, testing activity, governance processes, and monitoring results.
Your Skills & Experience
- Strong experience as a Fraud Analyst, Fraud Strategy Analyst, Risk Analyst, Decisioning Analyst, or a similar fraud-focused role.
- Hands-on experience working with fraud decisioning tools, risk platforms, or fraud rules engines.
- Proven ability to create, test, monitor, and optimise fraud rules, thresholds, and risk controls.
- Strong analytical skills with experience assessing fraud trends, control effectiveness, and operational impact.
- Good understanding of card fraud, transaction fraud, payment fraud, account misuse, or related fraud typologies.
- Experience balancing fraud prevention objectives with customer experience and operational efficiency.
- Strong stakeholder management and communication skills, with the ability to explain complex risk concepts clearly.
- Comfortable working cross-functionally with product, engineering, compliance, risk, and data teams.
- Experience within fintech, payments, banking, or another regulated financial services environment.
- SQL or data analysis experience would be beneficial.
How to Apply
If you have strong experience in fraud decisioning, fraud strategy, and rule optimisation and are looking for your next contract opportunity, apply today to find out more.
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
AI/ML Engineer
London
£100000 - £130000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
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
To Apply for this Job Click Here
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
AI Engineer
London
£100000 - £150000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
AI/ML Engineer
London (Hybrid, 3 days in office) | Competitive Salary + Bonus + Benefits
Join a growing AI engineering team building production-grade LLM systems used to solve complex knowledge and workflow challenges. This is a hands-on opportunity to work on agentic AI, RAG and evaluation frameworks in a highly technical, fast-moving environment.
The Company
They are building an AI platform that helps organisations automate complex workflows and make better decisions using proprietary data, external sources and advanced AI technologies. Backed by an established business, they combine startup agility with strong commercial foundations.
The Role
- Build multi-step AI agent workflows using LangGraph, LangChain or similar frameworks
- Develop production RAG pipelines, embeddings and retrieval systems
- Design AI evaluation frameworks and testing infrastructure
- Optimise model performance, reliability, latency and cost
- Build backend services in Python and contribute to cloud-based systems
- Mentor engineers and influence technical direction at Lead level
Your Skills & Experience
- Strong commercial Python engineering experience
- Production LLM or ML systems experience
- Expertise with agent orchestration frameworks
- Strong RAG, vector database and retrieval evaluation knowledge
- Experience with graph-based retrieval or graph data modelling
- Familiarity with AI coding tools such as Cursor or Claude Code
What They Offer
- Competitive salary, bonus and benefits
- Senior and Lead level opportunities
- High ownership and technical autonomy
- Clear progression as the team grows
- Exposure to cutting-edge AI technologies
To Apply for this Job Click Here
Front End Engineer
London
£70000 - £80000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
FRONT-END ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build intuitive, high-performance user interfaces used daily across complex workflows and decision-making processes.
- Develop data-rich dashboards, document management experiences, and AI-powered features that simplify complex information and processes.
- Translate sophisticated AI and automation workflows into responsive, user-friendly experiences.
- Collaborate closely with product, design, and engineering teams to deliver scalable front-end solutions that balance usability, performance, and functionality.
- Drive front-end best practices across architecture, testing, accessibility, performance optimisation, and security.
YOUR SKILLS AND EXPERIENCE:
- Strong React and Typescript is essential, with React Native experience being highly desirable
- Experience developing complex, data-heavy enterprise applications with a focus on usability and performance.
- Strong understanding of state management, component architecture, front-end testing, and application security.
- Regular use of AI-assisted development tools such as Cursor, Claude Code, or similar productivity tools.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link
To Apply for this Job Click Here
FULL STACK ENGINEER
London
£70000 - £80000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
FULL STACK ENGINEER
UP TO £80,000
LONDON
This is an exciting opportunity to join an early-stage technology business where AI sits at the heart of product development and innovation. You’ll play a key role in shaping a product from the ground up, working across the full technology stack and helping to deliver AI-powered capabilities that solve complex real-world problems.
THE COMPANY
Our client is a technology-driven organisation focused on developing software solutions that help businesses manage complex workflows, data, and decision-making processes. They operate in a collaborative, fast-paced environment where engineering, product, and business teams work closely together to deliver high-impact solutions. They offer the opportunity to work on technically challenging projects while contributing to the evolution of a rapidly growing product.
THE ROLE
Responsibilities include but are not limited to:
- Build and ship product features end-to-end across the frontend, backend, and database layers.
- Develop modern user interfaces using React and TypeScript, delivering intuitive user experiences.
- Design, build, and maintain scalable backend services using Python and modern frameworks.
- Contribute to architecture decisions, engineering standards, and technical roadmaps.
- Work with AWS, CI/CD pipelines, and containerised environments to support reliable deployments.
- Integrate AI-powered capabilities into the platform, ensuring outputs are transparent, reliable, and valuable to users.
YOUR SKILLS AND EXPERIENCE:
- Strong commercial experience delivering full-stack applications in production environments.
- Strong React and TypeScript is essential.
- Strong Python experience, ideally with FastAPI or Django.
- Experience working with PostgreSQL, SQL, and data modelling.
- Knowledge of AWS or similar cloud platforms, CI/CD practices, and container technologies.
- Experience designing secure applications, including authentication, authorisation, and multi-tenant architectures.
- Comfortable owning features from concept through to deployment and contributing to technical decision-making.
SALARY AND BENEFITS
- Up to £80,000 base salary
- Contributory pension scheme
- Bonus
HOW TO APPLY
Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link
To Apply for this Job Click Here
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