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Full Stack Engineer

Up to £85,000

London (2 days a week in office)

This is an exciting opportunity to join a fast-growing technology business that is transforming how people engage with and manage their finances. You’ll work on a modern product, collaborate with highly skilled engineers, and play a key role in delivering innovative software in an AI-first engineering environment.

THE COMPANY

They are a high-growth technology organisation developing innovative digital products that help users make better decisions through data, analytics, and intuitive technology. Operating within a collaborative, cross-functional environment, they combine modern engineering practices with a strong focus on user experience and product excellence. Their teams work closely across technology, data, and operations to deliver scalable solutions and drive continuous innovation.

THE ROLE

As a Full Stack Engineer, you will join a cross-functional engineering squad, taking ownership of key areas of a client-facing web application while contributing across the software development lifecycle.

Specifically, you can expect to be involved in the following:

• Building and delivering new features within a modern web application using React, JavaScript, and TypeScript.
• Developing high-quality, scalable, and reusable code with a strong focus on performance and user experience.
• Collaborating with product, engineering, and operational teams to deliver business-critical functionality.
• Contributing to backend development when required, working with microservices and cloud-based technologies.
• Using AI-assisted development tools throughout the engineering lifecycle, including design, implementation, testing, and code review.
• Participating in agile delivery processes, sprint planning, estimation, testing, and releases.
• Helping to improve engineering standards, software quality, scalability, and operational efficiency.

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and experience:

• Strong commercial experience developing front-end applications with JavaScript and TypeScript.
• Excellent knowledge of React and modern state management approaches.
• Practical experience using AI-assisted or agentic coding tools within software development workflows.
• Strong ability to review, test, and improve AI-generated code while maintaining high engineering standards.
• Knowledge of testing frameworks and test-driven development principles.
• Experience working with APIs and modern integration technologies, including GraphQL.
• Familiarity with CI/CD pipelines, cloud environments, and software documentation.
• Experience with Java or Kotlin, Spring Boot, microservices, PostgreSQL, Kafka, Docker, AWS, and Kubernetes would be highly beneficial.
• Strong communication skills and the ability to thrive in a collaborative environment.

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary up to £85,000 – 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

To Apply for this Job Click Here

Data Analyst
London remote | £50,000 – £55,000
Must have full right to work in the UK

This is an exciting opportunity for a commercially minded Data Analyst to join a growing organisation at a pivotal stage of its journey. Combining finance, reporting, and data analysis, the role offers genuine ownership, exposure to senior stakeholders, and the chance to shape reporting processes that directly support business growth and decision-making.

The Company

They are a fast-growing organisation operating in a highly data-driven environment, delivering services at scale through a technology-enabled model. Working across multiple complex contracts and service streams, they rely on accurate reporting and insight to support strategic decisions and long-term growth. As the business continues to expand, they are investing in their finance and data capabilities to improve visibility, efficiency, and performance.

The Role

As a Data Analyst, you will sit within a small finance team and work closely with senior stakeholders to manage reporting, analysis, and data processes across the business.

You will:

* Own and develop finance reporting and management information
* Support forecasting cycles and maintain large-scale financial models covering forecasts, planning, and cash flow
* Reconcile data across multiple systems, including Xero, SQL, and Power BI
* Upload, manage, and maintain finance and operational datasets
* Produce board-level reporting on financial performance, operational metrics, and contract activity
* Analyse volumes, performance trends, and operational data against forecasts and expectations
* Build new reports and dashboards while enhancing existing reporting processes
* Investigate and resolve data discrepancies to ensure data accuracy and integrity
* Partner with finance, technology, and operational stakeholders to improve reporting capabilities and decision-making

Your Skills & Experience

You will have:

* Strong experience in a finance, accounting, or financial analysis role
* Advanced Excel skills, including financial modelling and reporting
* Practical experience using SQL and Power BI for reporting and data analysis
* Experience working with large, complex datasets and performing reconciliations
* Strong analytical and problem-solving skills with excellent attention to detail
* The ability to communicate insights clearly to both technical and non-technical stakeholders
* A proactive and organised approach, with the confidence to take ownership of processes and improvements

What They Offer

* Salary of £50,000 – £55,000
* Remote working arrangement
* Direct exposure to senior leadership and key business stakeholders
* The opportunity to shape and develop reporting processes in a growing organisation
* A varied role spanning finance, analytics, reporting, and business performance
* Strong opportunities for professional development and career progression

How to Apply

If you’re a Data Analyst with strong Excel, SQL, and Power BI skills, apply today to learn more about this opportunity.

To Apply for this Job Click Here

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Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)

What You’ll Do

Data Engineering & Infrastructure

• Design, build, and maintain data pipelines from ingestion through transformation and delivery
• Own data modeling and transformation across the firm’s core data sources
• Build and maintain a reliable, scalable data infrastructure from the ground up
• Ensure data quality, consistency, and governance across systems

Analytics & Business Partnership

• Serve as the primary technical translator between data systems and non-technical business stakeholders
• Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
• Build reporting and analytics capabilities that give the business clear visibility into performance and client data
• Communicate complex data concepts in plain language – confidently and clearly

AI & Modern Tooling

• Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
• Contribute to the firm’s evolving AI initiatives as they develop
• Stay current on relevant AI and data tooling and bring practical recommendations to the team

What We’re Looking For

Required

• Strong proficiency in Python and SQL
• Hands-on experience with data modeling, transformation, and pipeline development
• Ability to work independently as the primary or sole data practitioner – this is not a large team environment
• Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
• High EQ – personable, collaborative, and able to build trust with people across the organization
• 4 days per week onsite availability in downtown San Francisco

Strongly Preferred

• Background in finance, wealth management, or financial services
• Experience at a private equity-backed company or PE rollup environment
• Familiarity with wealth management workflows, data structures, and reporting needs
• Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
• Exposure to AI tools in a professional context (Glean or similar)

Compensation

• Base salary: $185,000 – $235,000
• Discretionary bonus
• Downtown San Francisco office – hybrid, 4 days onsite per week

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Senior Machine Learning Engineer

Remote (US ONLY)

$240,000 Total Comp

This is an opportunity to tackle some of the most challenging problems in applied machine learning, working on high scale fraud detection systems where data is imperfect and outcomes are uncertain. You will play a key role in evolving core models and experimentation capability within a mature, well invested ML environment.

The Company

They are a multiple PE funding round Fintech operating at global scale, using advanced machine learning to power critical decision making in real time. Their platform processes high volumes of transactions and supports merchants in delivering secure and seamless customer experiences.

The data science and engineering function is central to the product, with strong collaboration between ML, platform engineering and product teams. They have invested heavily in internal tooling, including a proprietary experimentation interface and robust ML infrastructure.

The Role

You will take ownership of end to end machine learning initiatives, with a focus on improving fraud models and enabling faster, more reliable experimentation. Key responsibilities include:

* Driving continuous improvement of core fraud detection models in production

* Designing and evolving experimentation workflows to support high velocity model iteration

* Rolling out a new ensemble based model architecture to improve decisioning performance

* Defining and implementing robust offline evaluation approaches in a low label environment

* Tackling complex statistical challenges such as delayed or missing fraud outcomes

* Partnering closely with product teams to develop new ML driven features for customers

* Contributing to a tech lead driven roadmap within a mature ML platform and tooling ecosystem

Your Skills and Experience

* Strong commercial experience building and deploying machine learning models in production

* Deep understanding of statistical modelling and evaluation, particularly in imperfect data settings

* Experience working with large scale data and distributed systems such as Spark

* Proficiency in Python and SQL, alongside modern ML libraries

* Experience designing experimentation frameworks or working with A B testing and offline validation

* Ability to translate ambiguous business problems into structured ML solutions

* Strong collaboration skills, with experience working cross functionally with product and engineering

What They Offer

* Annual bonus and equity package

* Flexible remote working across the United States

* Comprehensive benefits including healthcare, pension contributions and paid leave

* Access to learning and development budget

* Opportunity to work on high impact ML systems with real world outcomes

* Clear progression within a technically strong and collaborative team

How to Apply

If you are interested in applying your machine learning expertise to complex, real world problems at scale, please submit your application.

To Apply for this Job Click Here

To Apply for this Job Click Here

Applied AI Engineer, Product and Delivery | Hybrid Portland, ME or Remote (East Coast / Chicago) | $225,000 to $275,000 plus equity

Most AI job ads ask for an engineer who can tolerate the business. This one is the reverse.

We are hiring someone whose core strength is problem solving and commercial judgement, and who has started building with AI rather than just talking about it. If you are the person on your team who takes a vague question from an operator, works out what actually needs answering, and has recently been prototyping your own tooling with LLMs, read on.

The Company

A newly independent company, spun out of the value creation team of a private equity firm. Its proprietary platform builds a digital twin of an organisation, simulating its people, processes and systems to produce an actionable roadmap for AI-driven value creation. The founding team comes from quantitative finance, top-tier strategy consulting and leading analytics and technology firms. The work is evidence-based, auditable and used by investors and management teams to make real decisions about real businesses.

This is a founding-stage team. You will shape what gets built.

The Role

You sit between the consultants and analysts doing client work and the engineers building the product. Your job is to close the gap between them.

• Sit with consultants and data analysts, watch the work, and find where it is slow, manual or error-prone
• Take an ambiguous business problem and sharpen it into a requirement someone can build against
• Design and build LLM-powered prototypes to test whether an idea is worth pursuing
• Define what a good output looks like and build the checks that prove it
• Partner with software engineers to productionise what works, and drive adoption into the delivery workflow
• Lead design reviews and mentor the analysts and engineers building alongside you
• Track new models, frameworks and agentic tooling, and form a view on what is worth adopting

What We Are Looking For

The non-negotiables:

• Problem solving. You scope ruthlessly. You know the difference between the analysis that is complete and the analysis that is sufficient, and you ship the second one
• Business acumen. You understand how an operational change shows up in the numbers. P&L, EBITDA, labour cost. You can connect a technical output to a client’s investment thesis
• Operator exposure. You have worked directly with the people running a business, not adjacent to them. Your work changed what someone did on Monday
• Quality instinct. You check your own work by reflex. You can tell us about a time you caught something before it went out, and what you changed afterwards
• Strong SQL and the ability to build, not just specify

Big plus:

• Applied AI experience, at any depth. Internal tools, automated workflows, agent prototypes, LLM-assisted analysis. What matters is that you have built something real and learned where it falls over
• Python
• Fluency with agentic development tooling such as Claude Code, subagents and custom skills
• LangChain, LangGraph or similar orchestration frameworks
• Experience with LLM-as-judge evaluation patterns
• Consulting, private equity or another deadline-driven client-service background
• Forward-deployed or solutions work where you built something for one customer and then generalised it into product

You do not need a background as a machine learning engineer. Data analysts, analytics leads, business operations people, consultants and value creation professionals who have started building with AI are exactly who we want to hear from.

What Is On Offer

• Cash compensation of $225,000 to $275,000
• Equity in a newly independent business at the point of spin-out
• Hybrid in Portland, ME preferred, with fully remote considered for candidates on the East Coast or in Chicago
• Direct influence over the product and the technical direction, on a team small enough that your judgement carries

How to Apply

Apply through this advert or get in touch for a confidential conversation.

To Apply for this Job Click Here

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Full Stack Engineer

London (Hybrid, 2 days per week) | Up to £85,000

Looking for a role where AI is more than just a buzzword? Join an AI-first engineering team building innovative products with modern technologies, agentic workflows, and genuine opportunities for progression.

The Company
This growing technology business is building a sophisticated platform that helps users make smarter decisions through data-driven insights. Their engineering teams work in agile squads, combining modern software practices with AI-powered development workflows to deliver high-quality products at pace.

The Role

• Build and enhance web applications using React, JavaScript and TypeScript
• Contribute across the full stack with Java or Kotlin on the Spring ecosystem
• Use Claude and N8N to automate workflows and improve development efficiency
• Work with APIs, CI/CD pipelines, AWS, Docker and Kubernetes
• Collaborate with Product, Engineering and QA teams in an agile environment

Your Skills & Experience

• Strong commercial experience with React, JavaScript and TypeScript
• Back-end development experience with Java or Kotlin
• Experience using AI tools such as Claude or N8N within development workflows
• Knowledge of AWS, Docker or Kubernetes
• Strong communication skills and a collaborative mindset

What They Offer

• Up to £85,000 salary, with flexibility for exceptional candidates
• Hybrid working, 2 days per week in the London office
• 25 days annual leave plus carry-over option
• Enhanced parental leave
• Electric car, nursery, cycle-to-work and gym schemes
• Study support and professional development opportunities
• Mental health support and regular team socials
• Potential equity review after probation

How to Apply
Apply now to learn more about this Full Stack Engineer opportunity.

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Senior Pricing Analyst

Hybrid – London, Leicester or Bexhill
Competitive Salary + Bonus + Excellent Benefits

I’m hiring multiple Senior Pricing Analysts to join a major UK insurer investing heavily in pricing, analytics, and data capability.

This is a fantastic opportunity for someone with a background in insurance pricing, segmentation, and portfolio performance who wants to work in a business where pricing plays a central role in commercial strategy.

The opportunity

You’ll be part of a growing Pricing, Data & Analytics function focused on improving pricing sophistication, portfolio performance, and customer outcomes across insurance products.

This role combines:

• Pricing strategy
• Segmentation
• Portfolio analytics
• Performance monitoring
• Commercial insight

You’ll have the opportunity to directly influence pricing decisions and see your work translate into measurable business outcomes.

What you’ll be doing

Pricing Analysis & Segmentation

• Develop and refine pricing segmentation approaches across products and customer groups.
• Analyse portfolio performance to identify pricing opportunities and emerging risks.
• Apply pricing adjustments and enhancements to improve competitiveness and profitability.

Monitoring & Optimisation

• Build monitoring frameworks to track pricing effectiveness and portfolio health.
• Identify optimisation opportunities and drive continuous improvement initiatives.
• Support testing and experimentation to improve segmentation and pricing outcomes.

Stakeholder Engagement

• Work closely with Pricing, Underwriting, Commercial, and Product teams.
• Translate analytical findings into clear business recommendations.
• Influence strategic decisions through evidence-led pricing insight.

What they’re looking for

Essential

• Pricing, risk pricing, or insurance analytics experience.
• Strong analytical and quantitative problem-solving skills.
• Experience working with segmentation and portfolio performance analysis.
• Ability to communicate complex analytics clearly to stakeholders.
• Strong stakeholder management and influencing skills.

Technical skills

Experience with one or more of:

• Python
• SQL
• R
• SAS

Ideal backgrounds

• Personal Lines Insurance
• Motor Pricing
• Home Pricing
• Risk Pricing
• Insurance Portfolio Analytics

Why join?

• Highly respected pricing function
• Large investment in Data & Analytics capability
• Strong career progression opportunities
• Opportunity to shape the future of pricing
• Significant visibility and ownership
• Collaborative culture with strong support for development

Benefits

• Bonus scheme
• Flexible hybrid working
• Private medical insurance and wellbeing support
• Matched pension contributions up to 10%
• 25 days holiday plus bank holidays
• Additional health, dental, lifestyle and financial wellbeing benefits

If you’re currently working in Pricing, Risk Pricing, or Insurance Analytics and want to join a business where pricing is genuinely viewed as a strategic capability, I’d love to speak with you.

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To Apply for this Job Click Here

Lead AI Engineer

£95,000 – £115,000

King’s Cross, London (1-2 days a week in office)

This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.

THE COMPANY

They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.

THE ROLE

As a Lead AI Engineer, you will

Specifically, you can expect to be involved in the following:

• Own the technical direction, architecture, and implementation of AI systems end-to-end.
• Design and build LLM-powered and agent-based solutions from concept through to production.
• Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
• Make key decisions on models, tooling, infrastructure, and system design.
• Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
• Provide technical leadership and guidance to engineers working on AI projects.

SKILLS AND EXPERIENCE

The successful Lead AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems from design through deployment.
• Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
• Experience building agentic or multi-step AI systems.
• Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
• Ability to define technical direction and operate effectively in complex or evolving environments.
• Experience influencing engineering standards and best practices across multiple projects.
• Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.

BENEFITS

The successful Lead AI Engineer will receive the following benefits:

• Salary between £95,000 – £115,000 – 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

To Apply for this Job Click Here

Senior AI Engineer

£75,000 – £95,000

King’s Cross, London (1-2 days a week in office)

This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.

THE COMPANY

They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.

THE ROLE

As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.

Specifically, you can expect to be involved in the following:

• Design and implement end-to-end AI systems that deliver business impact.
• Build and deploy LLM-powered and agent-based solutions from concept through to production.
• Contribute to technical architecture and engineering best practices.
• Develop reusable components, frameworks, and patterns across multiple AI use cases.
• Make informed decisions on models, tooling, infrastructure, and system design.
• Ensure AI solutions are scalable, observable, secure, and production-ready.
• Support evaluation, monitoring, and governance processes for deployed AI systems.
• Provide technical guidance and mentorship to engineers contributing to AI projects.

SKILLS AND EXPERIENCE

The successful Senior AI Engineer will have the following skills and experience:

• Strong commercial experience delivering production-grade AI systems.
• Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
• Experience designing and implementing complex AI solutions across multiple domains.
• Knowledge of agentic AI systems and multi-step workflows.
• Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
• Ability to solve problems in evolving and ambiguous environments.
• Experience influencing engineering standards and contributing to technical excellence.
• Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
• Experience working within enterprise or regulated environments would be beneficial.

BENEFITS

The successful Senior AI Engineer will receive the following benefits:

• Salary between £75,000 – £95,000 – 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

To Apply for this Job Click Here

Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.

The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.

The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value

Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products

What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives

How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here

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Data Analyst – Wealth Management

Our client is a large wealth management firm growing their data function. As the firm grows its investment in data and analytics, they’re looking for a Data Analyst to join a standard, well-established data function.

Role Details

• Support data and analytics initiatives across the firm’s investment/wealth management operations
• Work with structured data using Python, SQL, and dbt
• Build and maintain reporting/dashboards using a BI tool (no specific tool preference)
• Location: 4 days/week in office in either Miami, FL or Austin, TX

Qualifications

• 2+ years of experience (3+ preferred)
• Background from consulting, corporate, or data science (with an analytics focus) all welcome
• Strong Python, SQL, and dbt skills
• Databricks experience a nice-to-have
• Finance/wealth management background is a plus, not required

To Apply for this Job Click Here

To Apply for this Job Click Here

FULL STACK ENGINEER (AI-NATIVE)

Up to £85,000 + Benefits
London (Hybrid, 2 Days per Week)

This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You’ll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users.

THE COMPANY:

This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations.
The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation.

THE ROLE:

You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams.
Key responsibilities include:

• Building and enhancing customer-facing web applications.
• Developing scalable features using React, JavaScript and TypeScript.
• Contributing to backend services built with Kotlin and Spring.
• Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process.
• Working within Agile Scrum teams to plan, develop, test and release software.
• Collaborating on APIs, microservices and event-driven architectures.
• Driving software quality, performance, security and scalability.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Java and Kotlin backend development on the Spring stack.
• React, JavaScript and TypeScript.
• AI-assisted development, particularly using Claude and agentic engineering workflows.
• CI/CD pipelines, automated testing and API integrations.
• AWS, Docker and/or Kubernetes.
• Jira, Agile methodologies and collaborative software delivery.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
Please note: Sponsorship is not available for this position.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here