To Apply for this Job Click Here

Senior Software Engineer

Location: London (hybrid, 2 days per week in the office)

Salary: Up to £95,000 + 10% Bonus

Working Model: Hybrid (2 Days in Office per Week)

This is an opportunity to step into a genuinely influential senior engineering role within a growing product-focused technology team. You will have real ownership over how systems are designed and built, with the chance to guide other engineers through complex technical challenges while staying hands-on yourself.

The Company

They are a well-established media and technology organisation undergoing a period of modernisation and growth. The business builds and operates large-scale platforms that support end-to-end advertising and campaign delivery for a wide range of clients. Engineering is seen as a core driver of product quality, innovation, and commercial success.

The Role

You will join a collaborative engineering team working on internal platforms that manage advertising campaigns from initial booking through to delivery and optimisation. The focus is on building scalable, well-architected systems and improving how the team approaches problem solving and technical decision making.

Key responsibilities include:

• Designing and building robust backend and frontend services that support business-critical products
• Contributing to architectural decisions and ensuring systems are scalable, maintainable, and well structured
• Providing technical guidance and coaching to a small group of engineers without formal line management
• Collaborating closely with product, UX, and architecture colleagues to shape solutions from concept to delivery
• Challenging requirements constructively and helping the team focus on the why, not just the task

Your Skills and Experience

• Strong commercial experience building production-grade software in JavaScript or TypeScript environments
• Backend development experience with Node.js and modern APIs
• Frontend experience with React, ideally including Next.js
• Experience working in a cloud environment such as AWS
• The ability to think critically about system design, priorities, and trade-offs
• Comfortable taking the lead on technical discussions and supporting other engineers through complex problems
• Exposure to data, AI, or Python is beneficial but not essential

What They Offer

• The chance to work on high-impact, business-critical products
• A collaborative environment with clear scope to influence engineering standards and technical direction
• Strong long-term progression as the engineering function continues to grow

How to Apply

If you are a Senior Software Engineer looking for a role where you can combine hands-on development with real technical influence, apply now to learn more.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Risk Analyst

Solihull – Hybrid 3 days per week

The Company
They are a well established financial services organisation operating in the consumer lending space. With a strong analytical culture, they place data at the centre of decision making across products and partnerships. The business is investing heavily in advanced analytics and credit risk capability to support sustainable growth.

The Role
You will sit within the personal finance credit risk team, working closely with models, strategy and analytics specialists. Your focus will be on supporting credit strategy for a key partner product, using data and models to optimise performance.
Key responsibilities include:

• Supporting credit risk strategy for a partner finance product, analysing what impacts sales and how to maximise performance within risk appetite.
• Developing, enhancing or monitoring credit risk models, including PD and scorecard based approaches.
• Delivering analysis to inform decisions across acquisition, pricing and customer management.
• Working with stakeholders across risk, analytics and the wider business to translate insight into action.

Your Skills and Experience

• Strong background in credit risk analytics within lending, banking or fintech environments.
• Experience with scorecard development, decision science models or broader credit risk modelling.
• Commercial exposure to areas such as pricing, customer segmentation or portfolio strategy.
• Hands on experience using SQL and either Python or SAS, with a willingness to develop further technical skills if needed.
• Ability to turn complex analysis into clear insight that supports business decisions.

What They Offer

• Competitive salary and benefits package.
• Hybrid working with three days per week in the Birmingham office.
• Opportunity to work on a high profile product with visible impact on strategy and performance.
• A collaborative, analytical environment with scope to develop deeper modelling or strategy expertise.

How to Apply
If you are a credit risk analyst looking to step into a senior role with strong strategic and modelling exposure, apply now to learn more about this opportunity.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Risk Analyst

Salary
£47,000-£57,000

Location + work pattern
Solihull (Birmingham) | Hybrid working (3 days per week in the office)

THE COMPANY

• A UK consumer lender backed by a large international financial services group.
• Operates in a fast‑moving, product‑led environment with strong links to major retail partners.
• Known for combining scale, data access and governance with agile ways of working.

THE ROLE

This is a senior individual contributor role within a credit risk function supporting the launch and ongoing optimisation of a major new consumer finance product. You’ll play a key part in shaping acquisition and onboarding strategies while working closely with senior stakeholders across the business.
Specifically, you can expect to be involved in:

• Developing and enhancing acquisition, onboarding and credit policies across unsecured lending products.
• Building and refining scorecards, affordability models, limits and pricing strategies.
• Using bureau, internal and alternative data sources to inform risk decisions.
• Supporting end‑to‑end strategy delivery across the credit lifecycle, including exposure management and collections.
• Preparing and presenting analysis and recommendations to senior risk forums and committees.

YOUR SKILLS AND EXPERIENCE

• 3+ years’ experience within credit risk, analytics or strategy in a consumer lending environment.
• Strong understanding of the UK credit market, ideally within unsecured lending products.
• Experience working with credit data to develop or support scorecards, policies or risk strategies.
• Confident stakeholder communicator, able to explain analytical outputs to non‑technical audiences.
• Hands‑on experience with SQL and/or SAS, with a willingness to learn new tools such as Python.

THE BENEFITS

• Opportunity to work on a high‑impact new product launch with access to large‑scale, rich datasets.
• Fast‑paced environment where ideas and strategy changes can be implemented quickly.
• Exposure to senior stakeholders and visible contribution to business performance.
• Supportive, collaborative team culture with strong knowledge sharing.
• Competitive salary and benefits package.

THE PROCESS

• Initial short interview focused on role alignment and experience.
• Technical assessment and presentation exercise.
• Final competency‑based interview, ideally held onsite.

HOW TO APPLY

Please register your interest via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Fraud Analytics Manager

Salary
£86,000-£98,000

Location + work pattern
London | Hybrid working (3 days per week in the office

THE COMPANY

• A well-established FinTech with a strong international footprint, operating across payments and consumer financial services.
• The UK entity has recently expanded its regulated offering, moving beyond a single product focus into broader account-based and cashback services.
• The business is investing heavily in fraud prevention as part of this next phase of growth.

THE ROLE

This is a senior individual contributor role within a partner and merchant fraud function, focused on identifying, analysing and reducing fraud risk across complex payment flows. You will act as an accountable lead, owning problems end to end and driving improvements across detection, strategy and operations.
Specifically, you can expect to be involved in:

• Analysing fraud patterns and trends to identify emerging risks and exposures.
• Defining and improving fraud detection frameworks, rules and controls.
• Advising on fraud strategy, automation opportunities and operational priorities.
• Partnering closely with product, operations, engineering and strategy teams.
• Using SQL to extract and analyse data to support investigations and decision-making.

YOUR SKILLS AND EXPERIENCE

• Strong subject matter expertise in fraud, ideally within payments, marketplaces or financial services.
• Experience managing complex fraud investigations from identification through to resolution.
• Proven ability to define fraud guidelines, strategies and operational routines.
• Comfortable working autonomously, taking ownership of ambiguous, project-based problems.
• Working knowledge of SQL for data extraction and analysis.

THE BENEFITS

• Opportunity to work within a highly self-sufficient, cross-functional team.
• Exposure to end-to-end delivery, from strategy through to execution.
• A role with genuine ownership and influence over fraud frameworks and controls.
• Hybrid working and a competitive salary package.

THE PROCESS

• Online abstract reasoning assessment.
• Take-home assignment followed by a technical interview discussing the approach and outcomes.
• Behavioural interview focused on competencies.
• Final short cultural fit conversation.
• Offer

HOW TO APPLY

Please register your interest via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Data and AI Strategy Consultant
London hybrid working, three days on site. Principal £90,000 to £110,000 plus bonus.

This is an opportunity to step into a high impact Data and AI Strategy role within a growing consulting practice where strategy, governance and advisory work sit firmly at the centre. You will work closely with senior stakeholders to shape how organisations design, govern and scale AI, including GenAI, without being pulled into hands on build or delivery.

The Company

They are a well established management consultancy operating across financial services and other highly regulated industries, with a strong reputation for delivering end to end transformation. Their approach focuses on embedding specialist squads into client organisations to drive meaningful change. Data and AI strategy is a key growth area, with increasing demand from C suite leaders looking for clear direction on AI adoption and governance.

The Role

You will sit within a UK based Data and AI Strategy team, advising senior leaders on how to define, refine and execute AI strategies. The role is advisory led and highly client facing.

Key responsibilities include:

• Defining data and AI strategies aligned to business objectives and regulatory environments
• Advising on AI governance, GenAI policy and responsible AI frameworks
• Identifying and prioritising AI use cases based on value, risk and feasibility
• Assessing organisational readiness for AI and designing future state operating models
• Leading workshops and stakeholder sessions with senior business and technology leaders
• Supporting clients in build versus buy decisions without owning technical implementation
• Contributing to thought leadership, propositions and internal capability building

Your Skills and Experience

• Strong consulting or advisory experience within data, AI or digital strategy
• Exposure to AI governance, GenAI strategy or operating model design
• Confidence working with senior stakeholders and translating complex topics into clear narratives
• Experience in regulated environments such as financial services, energy or similar industries
• Solid understanding of how consulting engagements are structured and delivered
• Commercial awareness and storytelling skills rather than deep technical development expertise

What They Offer

• Competitive salary with performance related bonus
• Private medical insurance and life insurance
• Pension contribution with enhanced employer matching
• 25 days annual leave with the option to buy or sell days
• Hybrid working model with a Shoreditch office base
• Dedicated business coach and clear progression based on performance rather than tenure
• No time at level policy

How to Apply

If you are interested in shaping AI strategy at a senior advisory level within a growing consulting team, apply below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Location: Remote (US only)

Compensation: Up to 200K

This role has extremely high visibility and impact across the company wide data architecture and requires strong experience to be a self-starter. This means you must have worked in a relevant field and have the ability to come in as a SME.

The role:

• Design and manage the company wide data platform architecture
• Own tool selection, data integrations, and system functionality
• Act as SME across the data stack – Snowflake, DBT, Python, AWs
• Continuously evaluate and implement new integrations
• Evolve data integration always seeking to find new advancements to implement
• Ensure scalability, reliability, and performance of the data platform
• Partner with Data Engineering teams to ensure smooth delivery of Data Pipelines

The Requirements:

• Strong experience in the relevant tech stack – Snowflake, DBT, AWS
• Extensive experience in Data Engineering with at least 3 years being at the platform or architecture level
• Deep Experience in Data Architecture and Infrastructure
• Healthcare experience is a very strong preference

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

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

THE COMPANY

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

THE ROLE

Hands-on engineering and AI work across the platform:

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

YOUR SKILLS & EXPERIENCE

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

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

STAFF AI ENGINEER

New York, United States (On-site / Hybrid)

The Role

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

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

You’ll operate across architecture and implementation with fast iteration from idea to production.

What You’ll Build

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

What You Bring

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

Strong Preference For

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

Why This Role

• Build foundational GenAI systems with real enterprise impact
• High ownership across architecture and execution
• Fast iteration cycles from idea to production
• High visibility and technical influence
• Opportunity to shape core AI infrastructure

To Apply for this Job Click Here

To Apply for this Job Click Here

STAFF AI ENGINEER

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

The Role

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

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

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

What You’ll Build

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

What You Bring

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

Strong Preference For

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

Why This Role

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

• Opportunity to shape foundational AI systems at scale

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR SOFTWARE DEVELOPER

£85,000

GUILDFORD

This is an opportunity to join an innovation‑led software consultancy working on complex, real‑world engineering problems. The role offers high levels of autonomy, technically challenging work, and exposure to a wide variety of short‑to‑mid‑term projects.

THE COMPANY

Our client is a specialist software consultancy delivering bespoke products for organisations operating in highly constrained, problem‑heavy environments. They focus on technical excellence, innovation and delivery quality, offering engineers the chance to work on challenging systems rather than repetitive product features.

THE ROLE

• Design and build end‑to‑end software solutions
• Work as a senior full‑stack engineer (backend‑leaning)
• Own delivery of complex technical problems
• Build, deploy and support cloud‑based systems
• Collaborate with engineers and data specialists on production solutions
• Contribute to technical decisions and coding standards

YOUR SKILLS AND EXPERIENCE

• 5+ years commercial software development experience
• Strong Java and Spring / Spring Boot background
• Frontend experience with Angular (React or Vue also acceptable)
• Experience building microservices and APIs
• Cloud experience (Azure preferred, AWS acceptable)
• Comfortable working independently with minimal supervision

LOCATION & WORKING PATTERN

• Hybrid working
• Office within 30 minutes commute from London Waterloo

SALARY AND BENEFITS

• Up to £80,000 base salary
• Pension contribution
• 25 days holiday plus bank holidays (option to buy more)
• Paid training days and charity days
• Option to work remotely from abroad for part of the year

SECURITY REQUIREMENTS

• Must be eligible to obtain UK Security Clearance
• No sponsorship available

HOW TO APPLY

Please submit your CV to Harry Lack for review through the ‘apply’ link.

To Apply for this Job Click Here