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Staff Applied Scientist – LLM Suite | Investment Banking | Onsite in Palo Alto, CA

~$450-550k TC including base salary, bonus, and equity grant

Our client, a top-tier global investment bank, is expanding its enterprise AI platform and is looking for a Staff Applied Scientist to join their LLM Suite team. This is a production-focused role where the candidate will be building AI systems actively used by 200,000+ employees worldwide.

This person will own the development of text-to-code pipelines, agentic workflows, database interaction layers, and intelligent chatbots across one of the most complex financial institutions in the world.

Responsibilities

• Designing and deploying LLM-powered features including text-to-code, workflow automation, and AI agent frameworks
• Building and integrating multimodal LLM systems via API-based architectures
• Developing scalable, distributed, and multi-threaded applications using frameworks like Ray, Horovod, and DeepSpeed
• Owning full end-to-end software development cycles from prototyping through production deployment
• Architecting and managing containerized infrastructure using Kubernetes and AWS Fargate
• Building database interaction layers and backend services that support enterprise-scale AI products
• Collaborating cross-functionally with engineering, product, and business teams to translate complex requirements into working systems

Requirements

• PhD in Computer Science, Machine Learning, Applied Mathematics, or a related technical field (required)
• Deep hands-on experience with LLM integrations, both API-based and fine-tuning workflows
• Proven experience with multimodal LLMs and cutting-edge foundation models
• Strong background in distributed systems and scalable application design using Ray, Horovod, DeepSpeed, or equivalent
• Production experience with AWS, Kubernetes, and Fargate
• End-to-end software engineering experience, including design, development, testing, and deployment
• Experience building chatbots, agentic systems, or AI-assisted developer tooling is a strong plus

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Senior AI Software Engineer

Company Overview

Join a tech-focused private equity firm that has raised over $50 billion in capital and invests exclusively in technology companies. The team operates like a high-performance startup, combining institutional scale with a lean, high-caliber environment where every role has direct impact on investment decisions.

The Role

We’re hiring a Senior AI Software Engineer to own the end-to-end technical architecture of our AI investment platform. This is a high-ownership, high-visibility role where you’ll design and ship production AI products from the ground up, including agentic workflows, RAG systems, and LLM-based tooling that directly support deal diligence, portfolio monitoring, knowledge management, and decision support.

What You’ll Do

• Architect and build the firm’s AI platform from the ground up, owning decisions across the full stack

• Design and implement RAG pipelines, agentic workflows, and LLM-based tooling for investment use cases

• Build and maintain embedding pipelines, vector databases, and evaluation harnesses

• Partner with investment team stakeholders to translate complex workflows into scalable AI products

• Establish engineering best practices including CI/CD, testing, and model evaluation frameworks

What We’re Looking For

• 5+ years of software engineering experience, with at least 2 years building production AI/ML systems (LLM applications, RAG, agentic frameworks, or equivalent)

• Strong fundamentals in Python, cloud infrastructure on AWS, and modern CI/CD practices

• Deep knowledge of LLM application patterns: prompt engineering, embedding pipelines, vector databases, evaluation harnesses, and tool-use architectures

• Experience shipping end-to-end AI products in a fast-moving environment

• Startup experience or comfort operating with high autonomy and low process overhead

Logistics

• 4 days onsite in SF or NYC

• $550k+ total annual compensation

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Company Overview

Join a tech-focused private equity firm that has raised over $50 billion in capital and invests exclusively in technology companies. The team operates like a high-performance startup, combining institutional scale with a lean, high-caliber environment where every role has direct impact on investment decisions.

The Role

We’re looking for a Data Engineer to join a small, embedded team building the data foundation that powers our investment platform. You’ll work across the full data lifecycle, from ingestion and transformation to supporting the AI and ML systems that drive deal diligence, portfolio monitoring, and decision support.

What You’ll Do

• Build and maintain scalable ELT/ETL pipelines across our modern data stack

• Own data modeling and transformation workflows in dbt and Snowflake

• Integrate data from external APIs, financial data providers, and internal sources via AWS

• Collaborate closely with the AI engineering team to prepare datasets for embedding pipelines, vector stores, and retrieval systems

• Support data quality, observability, and documentation across the platform

What We’re Looking For

• 2+ years of experience as a data engineer

• Startup experience strongly preferred (Series A through C)

• Proficiency in SQL and Python

• Hands-on experience with Snowflake and modern data stack tools such as dbt, Airflow, or equivalents

• Familiarity with AWS data services, warehousing patterns, and API integrations

• Exposure to datasets that feed AI/ML systems including embeddings, vector stores, and retrieval pipelines

Logistics

• 4 days onsite in SF or NYC

• $300k+ total annual compensation (base + bonus)

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Senior Data Engineer

£70,000-£90,000

Manchester (Hybrid)

This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers.

THE COMPANY

They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion.

THE ROLE

As a Data Engineer you will take ownership of the company’s core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business.

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

• Design and manage data ingestion pipelines that feed into their cloud data warehouse.
• Build and maintain pipelines that prepare data for machine learning and analytics use cases.
• Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready.
• Work closely with Data Science and Platform Engineering to productionise models and improve data foundations.
• Proven ability to work with high‑volume event data at scale.

SKILLS AND EXPERIENCE

The successful Data Engineer will have the following skills and experience:

• Strong commercial experience in Python, SQL and cloud‑based data engineering.
• Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis.
• Understanding of streaming data, system performance and cost‑efficient architecture.
• A proactive mindset with the confidence to identify and solve problems independently.

BENEFITS

The successful Data Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience.
• Competitive benefits.

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Card Fraud Analyst
Mostly remote, once per month in London
£50,000 to £70,000

This role offers the chance to play a key part in shaping card fraud strategy within a well established financial services organisation. You will work in a highly visible analytics function where your insights directly influence fraud prevention, customer experience, and loss reduction.

The Company
They are a long standing financial services organisation with a strong presence in retail and commercial banking. The business is profitable, growing, and continuing to invest in fraud and financial crime capability. Fraud analytics is a core focus area, with clear support for innovation and improvement. The environment is collaborative and data driven.

The Role
You will sit within the card fraud analytics team, focusing on monitoring, optimising, and improving fraud strategies.
Key responsibilities include:
* Analysing card transaction data to identify fraud trends and emerging risks
* Optimising card fraud rules and strategies to reduce losses
* Producing reporting and insight to support day to day fraud decisions
* Working closely with fraud operations to improve outcomes and customer impact
* Supporting automation and advanced analytics initiatives within the team

Your Skills & Experience
* Strong commercial experience in card fraud analytics
* Hands on knowledge of Falcon or closely related fraud platforms such as SAS Fraud Management
* Proven ability to optimise card fraud strategies using data and insight
* Strong SQL skills for analysis and reporting
* Python experience is beneficial but not essential

What They Offer
* Salary between £50,000 and £70,000 depending on experience
* Hybrid working with limited required time in the London office
* A permanent role with clear ownership and visibility
* Opportunity to influence fraud strategy and analytics direction

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Head of Analytics (Financial Services)

London (On-site)
£90,000 – £160,000 + bonus + benefits

We’re hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning.

This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation.

The Role

You’ll lead a central Analytics & MI team operating as a shared service across Finance, Marketing, and executive stakeholders.

Key focus areas include:

• Moving from reporting to actionable insight
• Embedding AI tools into analytics workflows
• Driving automation and improved data structures
• Supporting rollout of a new decision engine
• Managing priorities across multiple senior stakeholders

This is a player-coach role (50/50 split) – combining leadership with hands-on delivery.

What We’re Looking For

• Experience leading Analytics / MI teams
• Strong ability to turn data into clear commercial insight
• Hands-on technical skills (SQL + Python)
• Experience with modern data tools (e.g. Snowflake, Power BI)
• Exposure to AI tools / automation in analytics
• Strong stakeholder management, including senior leadership

Background

• Open to any data-rich, commercial sector (FS helpful but not essential)
• Suitable for an existing Head of Analytics or a strong Senior Manager stepping up

Why Apply?

• Shape a modern, AI-enabled analytics function
• High exposure to C-suite and business strategy
• Play a key role in business transformation
• Significant scope to influence analytics and AI direction

Find out more and apply via the link below!!!

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SEO Manager (Website)

London, 4 days per week in office (5 day working week) , up to £45000

A great opportunity to take ownership of SEO performance for a high‑traffic ecommerce site, driving organic growth and shaping strategy within a fast‑paced digital environment. This role is ideal for someone who enjoys leading SEO direction while still being hands‑on with technical and content optimisation.

The Company

They are a large, multi‑brand retail organisation with a strong digital presence and a focus on continuous improvement. Their teams work in an ambitious, data‑driven environment where SEO plays a crucial role in scaling traffic, revenue and online visibility. You will join a supportive team that values expertise, collaboration and commercial impact.

The Role

* Manage and optimise SEO performance across an allocated site
* Develop and deliver the SEO roadmap covering technical, on‑page and content activity
* Lead keyword research, technical audits and site improvements
* Oversee day‑to‑day SEO operations and support a small team
* Analyse KPIs, report on performance and identify growth opportunities
* Partner with wider teams on content, PR, usability and site architecture
* Keep ahead of industry trends and champion SEO best practice

Your Skills and Experience

* Strong commercial experience in an SEO‑focused role within ecommerce
* Confident managing technical SEO, keyword strategy and onsite optimisation
* Ability to analyse performance data and translate it into clear actions
* Experience presenting results, insights and recommendations
* Comfortable leading workflows and supporting junior team members
* Strong understanding of usability, content structure and user behaviour

What They Offer

* Up to £45000 plus benefits
* Four‑days a week in the office, 5 day working week
* Opportunity to lead SEO strategy for a major consumer brand
* Growth potential and exposure to high‑impact digital projects

How to Apply

If this sounds like the right next step for you, please apply with your CV.

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Senior Marketing Analyst
Fully Remote (UK) | Up to £70,000 + equity options + quarterly bonus

This is a great opportunity to join a high-growth, digital-first business where marketing decisions are genuinely data-led. You will shape how performance marketing is measured, reported, and optimised, while working with a modern data stack and a growing central data team.

The Company
They are a fast-scaling, subscription-based consumer marketplace with a strong international presence. Their model is built around a two-sided membership community, and they are investing heavily in data to drive smarter growth decisions. Over the past six months, they have been building a modern data platform from the ground up, introducing tools such as dbt and Databricks. Data is central to their strategy, and marketing analytics is a key area of focus for future growth.

The Role
As a Senior Marketing Analyst, you will sit within the Marketing Analytics function and act as a strategic partner to growth and marketing leaders. You will:

• Work with marketing stakeholders to understand growth questions and translate them into clear analytical projects.
• Analyse channel and campaign performance to inform budget allocation and investment decisions across paid and owned channels.
• Deep dive into the end-to-end customer journey, from initial visit to registration, membership, and purchase.
• Identify behavioural indicators and patterns that predict conversion and retention.
• Develop and refine customer segments to improve targeting across paid media and CRM.
• Support the development of marketing mix modelling (MMM) capabilities.
• Build and maintain dashboards and self-serve tools that bring performance and insights to life for non-technical stakeholders.
• Help improve data foundations and data models that power marketing analytics and reporting.

Your Skills & Experience
You will be a strong fit for this Senior Marketing Analyst position if you have:

• Strong commercial experience using SQL to query and manipulate large datasets.
• Proven experience in marketing analytics, ideally with a focus on paid performance marketing.
• Hands-on experience with data visualisation tools such as Tableau or Looker (or similar BI tools).
• A background working in a marketplace, start-up, or scale-up environment where you have influenced growth or acquisition strategy.
• Experience working across channels such as paid social, paid search, CRM, and/or influencer marketing.
• Confidence working directly with senior stakeholders, communicating complex analysis in a clear, actionable way.
• A proactive, problem-solving mindset and a genuine interest in understanding customer behaviour and the full customer journey.

What They Offer

• Salary in the range of £70,000 – £80,000, depending on experience.
• Equity options plus a quarterly performance bonus structure.
• Fully remote working within the UK, with flexibility and trust.
• The chance to join at a pivotal stage as the data platform and marketing analytics function are being built out.
• Significant scope to influence marketing strategy, measurement frameworks, and advanced analytics capabilities.
• Opportunities to grow your career as they expand their data, analytics, and marketing teams and move further into predictive modelling and advanced analytics.

How to Apply
If you are a Senior Marketing Analyst looking to have a real impact on growth strategy in a modern, data-driven business, please apply with your CV to be considered.

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