SENIOR COLLECTIONS ANALYTICS MANAGER

Senior Collections Analytics Manager

London / £90000 - £120000 annum

INFO

SALARY:

£90000 - £120000

LOCATION

London

Permanent

London

£90,000 to £120,000 plus benefits.

This is a high impact opportunity to take ownership of a critical area within a fast growing, data led business. You will shape collections and recoveries strategy, influence core commercial outcomes, and partner directly with senior leadership. With strong backing, proven profitability, and international expansion underway, this role offers both immediate impact and long term career growth.

The Company

They are a high growth, data driven organisation focused on delivering innovative financial solutions to both consumers and businesses. With a strong emphasis on sustainability and responsible business practices, they are building a scalable model supported by leading institutional investors. Having recently achieved profitability, they are now entering a new phase of growth, expanding internationally and strengthening their analytics capability. The team attracts talent from leading fintech and data environments and places analytics at the centre of decision making.

The Role

You will lead strategy and analytics across collections and recoveries, owning performance and driving continuous improvement through data.

• Develop and optimise collections and recoveries strategies to improve performance and unit economics
• Use advanced SQL to interrogate complex, multi source datasets and identify actionable insights
• Partner with operations, finance, product, and engineering teams to deliver data driven solutions
• Own key initiatives across customer journeys, operational processes, and partner strategy
• Translate analysis into clear recommendations that influence senior stakeholders
• Manage and develop a direct report while contributing to the wider analytics function
• Support broader strategic projects across both consumer and business segments

• Strong commercial experience in collections, credit risk, lending, or related analytics environments
• Advanced SQL capability, with confidence working directly with complex and varied data sources
• Proven track record of using data to drive decision making and measurable business outcomes
• Experience balancing commercial trade offs across multiple stakeholders
• Comfortable working cross functionally in a fast paced environment
• Exposure to Python or similar tools is beneficial but not essential
• Experience within fintech, financial services, or other data rich industries is advantageous

• Salary of £90,000 to £120,000
• Hybrid working, typically three days per week in the London office
• Opportunity to work with a high calibre leadership team in a scaling business
• Strong career progression within a growing analytics function
• Exposure to high impact, strategic work across multiple markets
• Competitive benefits package including equity potenti

CONTACT

Rosie Walsh

Business Manager

SIMILAR
JOB RESULTS

Member of Technical Staff – AI / ML

New York

$200000 - $400000

+ Data Science & AI

Permanent

New York

Member of Technical Staff – ML and Applied AI
New York City, Onsite Five Days per Week
Base Salary 200,000 to 300,000 USD plus equity

This is an exceptional opportunity to join a high‑growth AI organisation building cutting‑edge multi‑agent systems used in real production environments. You will help shape intelligent products from the ground up, driving innovation, system design, and real‑world impact at scale.

The Company
They are a rapidly scaling AI business developing advanced agentic technology tailored to complex, data‑heavy professional workflows. After securing significant venture investment, they are expanding their technical teams to meet growing customer demand. With strong traction, an ambitious roadmap, and a culture that values experimentation, rigour, and autonomy, they offer a rare chance to join during a pivotal expansion phase. Their teams operate onsite in a collaborative environment designed for fast learning, sharp iteration cycles, and high ownership.

The Role
You will contribute as a core individual contributor focused on ML engineering, applied AI systems, and multi‑agent intelligence. Your work will directly shape how their agents reason, plan, and operate safely in production. Responsibilities include:
* Designing and iterating multi‑agent architectures that automate real operational workflows.
* Engineering robust human‑to‑ML interaction and creating scalable evaluation frameworks.
* Developing context, memory, retrieval, and orchestration systems that enhance model reasoning.
* Building experimentation pipelines that run extensive offline and online tests.
* Partnering closely with product, platform, and domain experts to ship high‑impact features.
* Owning end‑to‑end delivery of production‑level systems with clear instrumentation and measurable outcomes.

Your Skills and Experience
* Strong commercial experience in ML engineering, applied AI, or ML‑driven product development.
* Hands‑on experience deploying and iterating on complex AI or multi‑agent frameworks in production.
* Skilled in Python and confident working with large‑scale, real‑time or high‑volume data environments.
* Ability to design experiments, evaluate models, and optimise for accuracy, cost, and latency.
* Comfortable working in fast‑paced, high‑ownership environments where clarity, autonomy, and problem solving are essential.
* Academic background in Computer Science, Machine Learning, Mathematics, or related scientific fields.

What They Offer
* Base salary between 200,000 and 300,000 USD plus equity.
* Opportunity to work on cutting‑edge agentic AI challenges with significant ownership.
* Career progression in a rapidly growing organisation with substantial technical influence.
* Highly collaborative onsite environment with access to founders and senior technical leadership.

How to Apply
If you are excited by impactful ML engineering and want to help shape next‑generation AI systems, please send your application today.

Senior Machine Learning Engineer

$180000 - $220000

+ Data Science & AI

Permanent

USA

To Apply for this Job Click Here

Senior Machine Learning Engineer

Location: Fully Remote (Hybrid option in NYC)
Compensation: $190,000-$200,000 + Equity
Type: Full-Time

About the Company
We are partnering with a fast-growing, profitable SaaS company that is redefining programmatic advertising through AI-driven solutions. Their platform empowers brands to deploy custom algorithms across major DSPs (The Trade Desk, DV360, Meta, YouTube), enabling smarter, real-time ad-buying decisions. Backed by leading industry investors, this company is building ML infrastructure and solving problems that don’t have off-the-shelf solutions.

Why Join?

• Work on distributed ML infrastructure using Ray + PyTorch on Databricks.
• Build solutions that create a new software layer in ad-tech.
• Flexible working hours, fully remote, and equity participation.
• Opportunity to grow into Principal ML Engineer later this year.

Role Overview

As a Senior Machine Learning Engineer, you’ll own the ML lifecycle end-to-end, focusing on productionization and robust MLOps practices. You’ll work closely with data science and engineering teams to deploy models at scale and build automation for training, inference, and observability.

Key Responsibilities

• Deploy ML models into production using CI/CD best practices.
• Monitor and manage ML drift; retrain models as needed.
• Build automation for ML lifecycle (training, inference, observability).
• Contribute to internal API development for future projects.
• Collaborate across teams to productionize models for client and internal use cases.

Must-Have Skills

• Strong experience with CI/CD (GitHub Actions, build automation, packaging).
• Expertise in MLOps (MLflow, model versioning, monitoring).
• Hands-on with Databricks (Delta Lake, Unity Catalog, Asset Bundles).
• Proficient in Python and PySpark.
• 3-6 years of relevant experience.

Nice-to-Have Skills

• Kubernetes and containerized environments.
• API development exposure.
• Distributed training (Ray) and observability tools (Prometheus, Grafana).
• Familiarity with embedding models and Databricks Clean Room.

Screening Process

• Intro (with Director of ML or Senior Engineer) + short live coding exercise.
• Take-home exercise (CI/CD-focused).
• Final interview with leadership.
• CEO check-in.

Interested?
Apply now to join a team building brand-new solutions in ad-tech and work with technologies like PyTorch, Ray, Databricks, and MLflow.

To Apply for this Job Click Here

Senior AI Engineer

New York

$180000 - $250000

+ Data Science & AI

Permanent

New York

To Apply for this Job Click Here

Senior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)

$180,000 – £250,000 base salary + Bonus, RSUs

I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.

The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.

The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:

• Building tool-using AI agents with safety and compliance guardrails

• Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation

• Integrating agentic AI into observability, deployment, and incident management systems

• Optimizing scale, cost, and performance of AI systems under real-world load

• Partnering with global engineering teams to deliver measurable business impact

What They’re Looking For

• 7+ years’ experience in ML engineering or applied data science

• Expertise in Python (plus C++, Go, or Java)

• Track record of deploying ML systems at scale

• Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)

• Cloud-native engineering (AWS preferred) and strong software design fundamentals

Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.

To Apply for this Job Click Here

Director of AI

NA

$243394 - $486788

+ Data Science & AI

Permanent

New York

To Apply for this Job Click Here

Director of AI

Remote – US

Up to $300,000 + Equity

This is an opportunity to step into a high‑impact Director of AI position where you will shape enterprise‑wide AI strategy and lead the development of next‑generation GenAI capabilities. You will influence multiple product lines, drive technical innovation, and play a major role in modernising a global digital learning ecosystem.

The Company

They are a leading digital learning organisation undergoing a significant transformation, moving from traditional content delivery to personalised, AI‑driven educational experiences. Operating across large and diverse product portfolios, they use data and advanced machine learning to create meaningful impact for learners. Their centralised AI function partners closely with product and engineering teams to build scalable, intelligent solutions that elevate learning outcomes across the business.

The Role

In this Director of AI position, you will:

* Lead a high‑performing team of data scientists and AI specialists.

* Drive the AI roadmap and set technical direction across Generative AI and machine learning.

* Build scalable AI capabilities for multiple product lines from a central enterprise team.

* Partner with engineering, product, and design teams to identify and deliver high‑value AI opportunities.

* Oversee the development of core AI systems, including content generation, personalization engines, and recommendation models.

* Support major strategic initiatives, including ontology development, knowledge mapping, and platform unification.

* Balance hands‑on technical work with people leadership and stakeholder engagement.

Your Skills and Experience

You will be a strong fit if you bring:

* Deep expertise in AI, machine learning, or data science, including hands‑on experience with Generative AI.

* Strong capability in designing AI architectures and developing real‑world AI systems.

* Experience leading technical teams and fostering collaborative, high‑performance environments.

* Ability to work closely with cross‑functional stakeholders and translate complex concepts into actionable plans.

* Strong problem‑solving skills and an ownership mindset.

* Experience with modern AI tooling such as AWS, Azure, Databricks, LangChain, or Hugging Face (beneficial but not required).

* Curiosity, craftsmanship, and a passion for building impactful solutions.

What They Offer

* Base salary of 250,000 to 275,000 plus bonus.

* Remote‑first working across the US or Canada.

* The chance to influence enterprise strategy and lead high‑impact AI initiatives.

* Career progression within a growing central AI organisation.

* The opportunity to build AI systems used by millions of learners.

How to Apply

If you are looking for a strategic, hands‑on AI leadership role with real impact, please apply with your CV.

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