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Legal Knowledge Engineer – Litigation

New York

$150000 - $200000

+ Data Engineering

Permanent
New York

To Apply for this Job Click Here

A globally recognized professional services organization is hiring a Legal Knowledge Engineer to help transform how high-performing litigation teams leverage AI.

This role blends legal practice expertise, knowledge management, and emerging technology. You’ll build structured knowledge assets, evaluate AI outputs, improve accuracy benchmarks, and shape next-generation workflows used in sophisticated disputes matters.

Ideal backgrounds may include:

  • Litigation attorneys exploring innovation
  • Legal KM professionals
  • Legal technologists
  • AI / prompt / evaluation specialists with legal exposure
  • Practice innovation professionals

Rare chance to join an elite brand investing heavily in the future of legal services.

To Apply for this Job Click Here

CRO Manager

City of London

£45000 - £55000

+ Advanced Analytics & Marketing Insights

Permanent
City of London, London

To Apply for this Job Click Here

CRO Manager
London – Hybrid
Up to 55K

We are looking for a senior CRO and Experimentation Manager to lead structured testing and optimisation programmes for complex digital products. You will take ownership of experimentation strategy, work closely with senior stakeholders, and turn data and insight into measurable commercial growth. This is a specialist CRO role with real autonomy and influence.

This is a hands on, client facing CRO position sitting at the core of a dedicated experimentation practice. You will shape how experimentation is delivered, influence strategic decision making, and work on sophisticated digital platforms where testing genuinely drives business performance.

The Company
We are a fast growing digital growth agency, partnering with leading organisations to deliver insight led CRM and digital growth programmes.

The Role

  • Lead and evolve our strategic approach to CRO testing and experimentation
  • Own senior client relationships and act as a trusted CRO advisor
  • Deliver end to end experimentation programmes from hypothesis creation through to analysis and insight
  • Translate data, user behaviour, and insight into strong, well reasoned test ideas
  • Collaborate with the wider digital team on integrated growth initiatives

Your Skills and Experience

  • Strong commercial experience in CRO and UX, with the ability to define strategy and execute testing programmes
  • Hands on experience using experimentation platforms such as Piano, Zephr, Optimizely or VWO
  • Expertise in GA4
  • Confidence working with quantitative data, A B testing logic, and statistical concepts
  • Comfortable operating in a client facing environment, with clear and credible communication skills
  • A genuine curiosity for experimentation and how CRO supports wider digital marketing performance

What We Offer

  • Hybrid working with three days per week in office
  • Flexible working options, including working from abroad
  • Clear development and progression opportunities within a specialist CRO function
  • Regular team lunches, social events, and subsidised gym and sports memberships

How to Apply
Apply now to learn more about this CRO and Experimentation Manager opportunity and how it could fit your next career move.

To Apply for this Job Click Here

GCP Data Engineer

London

£600 - £650

+ Data Engineering

Contract
London

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GCP Data Engineer

£600 – £650 per day inside IR35

6-month contract

Hybrid working in London

We’re working with a global healthcare and AI research organisation at the forefront of applying data engineering and machine learning to accelerate scientific discovery. Their work supports large-scale, domain-specific datasets that power research into life-changing treatments.

They’re now looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines.


The Role

You’ll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient data loading, dataset management, and cloud-based training workflows.

You’ll work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems.


Key Responsibilities

  • Design and build cloud-native data pipelines using Python on GCP

  • Manage large-scale object storage for unstructured data (Google Cloud Storage preferred)

  • Support PyTorch-based workflows, particularly around data loading and dataset management in the cloud

  • Build and optimise data integrations with BigQuery and SQL databases

  • Ensure efficient memory usage and performance when handling large datasets

  • Collaborate with ML engineers to support training and experimentation pipelines (without owning model development)

  • Implement monitoring, testing, and documentation to ensure production-grade reliability

  • Participate in agile ceremonies, code reviews, and technical design discussions


Tech Stack & Experience

Must Have

  • Strong Python development experience

  • Hands-on experience with cloud object storage for unstructured data
    (Google Cloud Storage preferred; AWS S3 also acceptable)

  • PyTorch experience, particularly:

    • Dataset management

    • Data loading pipelines

    • Running PyTorch workloads in cloud environments
      We are not looking for years of PyTorch experience – one or two substantial 6-12 month projects is ideal

  • 5+ years cloud experience, ideally working with large numbers of files in cloud buckets

Nice to Have

  • Experience with additional GCP services, such as:

    • Cloud Run

    • Cloud SQL

    • Cloud Scheduler

  • Exposure to machine learning workflows (not ML engineering)

  • Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data

Please send your CV

To Apply for this Job Click Here

Analytics Engineer (DBT)

London

£450 - £550

+ Data Engineering

Contract
London

To Apply for this Job Click Here

ANALYTICS ENGINEER


6-MONTH CONTRACT

£450-£550 PER DAY OUTSIDE IR35

This role offers a great opportunity for an Analytics Engineer to join a fast-scaling digital business undergoing a complete rebuild of its analytics infrastructure. You’ll play a key role in reshaping how data is modeled, accessed, and used across teams – all with a focus on clarity, consistency, and self-serve analytics. The environment values autonomy, quality, and user-first thinking, with the freedom to shape best practices from the ground up.

THE COMPANY
This is a high-growth consumer business committed to data-informed decision-making across marketing, operations, product, finance, and customer success. They’re currently rebuilding their analytics platform with modern, scalable tools and need a strong contractor to accelerate this transition. Working in a fast-paced, collaborative, and remote-first environment, you’ll make a lasting impact on how data empowers the organisation.

THE ROLE
You’ll join the data team to lead the design and delivery of a new semantic layer in Looker. You’ll work with stakeholders across departments to translate business needs into performant, trusted data models using LookML and dbt. You’ll also play a critical role in shaping the self-serve analytics experience and ensuring the platform is intuitive, documented, and cost-efficient.

Your responsibilities will include:

  • Rebuilding LookML models to reflect real-world business processes and logic.

  • Designing and implementing dbt models that power clean, consistent metrics.

  • Collaborating with business teams to understand reporting needs and deliver intuitive analytics experiences.

  • Creating clear documentation for dashboards, metrics, and models.

  • Ensuring optimal performance and cost efficiency across Looker and Snowflake

  • Supporting a stakeholder-first approach to data usability and access.

KEY SKILLS AND REQUIREMENTS

  • Extensive experience operating within Snowflake environments
  • Advanced experience with Looker and LookML, including semantic layer modeling and dashboard design.

  • Proficiency in SQL and dbt, with a strong understanding of data modeling best practices.

  • Strong communication skills with the ability to translate complex needs into elegant data solutions.

  • Focus on usability, documentation, and data clarity.

  • Comfortable working independently in a dynamic, fast-changing environment.

DESIRABLE SKILLS

  • Experience rebuilding or refactoring a Looker instance from scratch.

  • Familiarity with Snowflake performance tuning and cost optimization.

  • Experience scaling analytics across a cross-functional organisation

HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.

To Apply for this Job Click Here

Senior Software Engineer

London

£75000 - £95000

+ Data Engineering

Permanent
London

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

Senior Risk Analyst

Solihull

£45000 - £57000

+ Advanced Analytics & Marketing Insights

Permanent
Solihull, West Midlands

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

Senior Credit Risk Analyst

Solihull

£47000 - £57000

+ Risk Analytics

Permanent
Solihull, West Midlands

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

Fraud Analytics Manager

London

£86000 - £98000

+ Risk Analytics

Permanent
London

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

Principal Data and AI Strategy Consultant

London

£90000 - £100000

+ Data Science & AI

Permanent
London

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

Data Platform Architect

Remote

$206884.9 - $243394

+ Data Engineering

Permanent
United States Virgin Island

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

Principal Software Engineer

San Francisco

$280000 - $350000

+ Data Engineering

Permanent
San Francisco, California

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

Staff AI Engineer

Manhattan

$250000 - $350000

+ Data Science & AI

Permanent
Manhattan, New York

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

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