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About the Role

This is a high-visibility, high-impact individual contributor role sitting at the intersection of machine learning, clinical data science, and translational biology. You will lead the company’s drug response prediction work – one of the most consequential and technically demanding initiatives in our portfolio.

This is not a pure research role, and it is not a pure engineering role. It requires someone who can move fluidly between rigorous quantitative analysis and the realities of working with large, messy, real-world datasets – someone who can apply state-of-the-art methods without losing sight of what actually works in practice.

The Problem We’re Solving

There are thousands of drugs that work – but only for a small subset of patients, and we largely don’t know why. We are building a systematic engine of understanding between drugs and biology: one that can decode the relationship between a patient’s biology and their response to treatment, and translate that into insights that immediately improve care.

This is foundational, mission-critical work. The person in this role will directly shape how we approach this problem – the methods we use, the data we bring to bear, and the analytical frameworks we build. It is an opportunity to have genuine scientific and clinical impact.

What You Will Do

Drug Response Prediction

• Lead the design and execution of computational approaches to predict drug response across patient populations
• Develop and validate predictive models using real-world clinical data, integrating diverse data modalities
• Identify biological and clinical signals that differentiate responders from non-responders
• Translate modeling outputs into actionable biological and clinical insights

Data & Analysis

• Work extensively with real-world data (RWD) – EHR, claims, clinical trial data – at scale
• Build robust analytical pipelines that handle messy, heterogeneous, and incomplete data
• Apply appropriate statistical frameworks to ensure rigor and reproducibility
• Contribute to the development and evolution of internal data infrastructure and analysis tooling

Modeling & Methods

• Apply and adapt state-of-the-art ML methods – including causal inference, survival analysis, and multi-omics integration – to biological and clinical problems
• Balance methodological sophistication with practical performance constraints
• Evaluate trade-offs between model complexity, interpretability, and real-world utility
• Stay current with the literature and bring relevant advances into the team’s practice

Cross-Functional Collaboration

• Work closely with biologists, clinical scientists, and data engineers to design studies and interpret results
• Communicate findings clearly across both technical and non-technical audiences
• Contribute to a collaborative, intellectually rigorous team culture

What We’re Looking For

Required

• PhD in a quantitative discipline – computational biology, biostatistics, bioinformatics, computer science, physics, statistics, or a related field; open to diverse backgrounds
• Fluent in Python – comfortable writing clean, well-structured code for data analysis and modeling
• Real-world data experience – hands-on work with EHR, claims, or other large-scale clinical datasets
• Ability to work with messy data at scale – experience wrangling, cleaning, and extracting signal from imperfect data
• Strong quantitative intuition – both in modeling design and in interpreting results critically
• Industry experience – 4+ years; 6+ preferred, ideally with both large pharma/biotech and startup exposure
• Mission-driven – genuinely motivated by the opportunity to improve patient outcomes through better science

Strongly Preferred

• Experience with causal inference methods (propensity scoring, instrumental variables, difference-in-differences, etc.)
• Background in statistics, epidemiology, or biostatistics alongside ML
• Familiarity with pharmacogenomics, multi-omics, or translational biology
• Experience contributing to or extending data infrastructure and analysis frameworks
• Track record of working across interdisciplinary teams (biology, chemistry, clinical)
• Startup experience – comfort with ambiguity, ownership, and moving quickly

Background & Experience Profile

We are open to a wide range of PhD backgrounds – what matters most is strong quantitative and analytical foundations, genuine intellectual curiosity, and the ability to work rigorously with complex biological and clinical data. Prior biology experience is not required, but candidates with some exposure to biological or clinical domains will be viewed favorably.

The ideal candidate has spent time in both large pharma/biotech (where they developed rigor and depth) and a startup environment (where they developed speed and ownership). If you haven’t done both, a trajectory that moves toward increasing independence and scope is what we’re looking for.

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Title: Research Manager

Location: USA Remote

Compensation: Up to $470k + Equity

Essential: A demonstrated research track record with an h-index of 20+

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media, interactive experiences, and world models. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, cross-functional role focused on managing and growing an Applied ML Research team building cutting-edge tools for AI-based media and world models, with a strong research foundation in computer vision and direct exposure to multimodal work, VLMs/MLLMs, and Physical AI as part of their core research team.

What You’ll Do

• Manage and grow a team of senior researchers (likely 5-10), mentoring them and supporting their career growth while staying hands-on with research
• Oversee the transition from research into production, working closely with engineering to ship state-of-the-art ML work
• Partner with Product to initiate and develop research projects that translate into clear user value
• Communicate goals, drive execution, and inspire through others across a cross-functional org
• Translate product and business objectives into technical research strategies

Requirements

• 5+ years of industry experience as a research scientist in computer vision, with 1+ years managing teams
• Comfortable managing senior researchers while remaining hands-on in a hybrid research engineering capacity
• High emotional intelligence, with a track record of mentoring and developing other researchers
• Deep interest in productionizing state-of-the-art ML research, having shipped research into product previously
• Strong communication and collaboration skills across research, engineering, and product

If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.

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Head of Platform & Engineering

London (Hybrid, near Tower Hill)

The Company
They are a global research and insights consultancy that partners with leading brands to inform strategic decision making. By combining advanced analytics, technology, and deep market understanding, they help organisations better understand customers and expand into new markets. Their work involves processing billions of data points per project, with a growing focus on synthetic data and AI-led innovation.
You will join a specialist synthetic data team that operates at the intersection of research, machine learning, and platform engineering, building tools that are shaping the future of data-driven insights.

The Role

• Own and define the platform strategy for a large-scale synthetic data and generative AI ecosystem
• Lead and develop a cross-functional engineering team, setting technical standards and best practices
• Build a scalable, secure, and high-performing platform used across global teams
• Bridge the gap between research, machine learning, and engineering to productionise advanced AI models
• Drive adoption of MLOps best practices including CI/CD, model lifecycle management, and reproducibility
• Ensure enterprise-grade governance, security, and privacy standards are embedded in the platform

Your Skills & Experience

• Strong technical leadership experience across software engineering, data engineering, or machine learning engineering
• Proven experience building and scaling complex data or ML platforms within a product-led environment
• Deep understanding of distributed systems, platform architecture, and high-throughput data processing
• Strong experience with Python and modern data and ML ecosystems
• Hands-on experience with GCP, Kubernetes, and infrastructure as code such as Terraform
• Experience implementing MLOps frameworks and managing model pipelines in production

What They Offer

• Hybrid working with a central London office (near Tower Hill)
• Opportunity to lead a high-impact AI platform from strategy through to delivery
• A collaborative, cross-disciplinary team environment
• Strong scope for leadership growth and influence across the business

How to Apply
If you are interested in this Head of Platform & Engineering role, please apply with your CV for consideration.

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AI Automation Lead

London (3 Days a week)

The Company
They are a well-established investment-focused organisation with a strong track record of managing sophisticated portfolios. The business fosters a collaborative and forward-thinking culture, where technology and data are central to operational excellence. With a focus on innovation and continuous improvement, they are investing heavily in modern data and AI capabilities to drive impact across core functions. The environment encourages ownership, creativity, and cross-functional collaboration.
The Role

• Design and deliver a fully automated, end-to-end reporting platform
• Build intelligent workflows to automate data ingestion, validation, and reconciliation processes
• Develop scalable systems that replace manual operational tasks with robust, observable solutions
• Implement exception handling and human-in-the-loop mechanisms where needed
• Ensure systems are accurate, auditable, and resilient in a production environment
• Collaborate closely with cross-functional stakeholders to translate operational requirements into technical solutions

Your Skills and Experience

• Strong commercial experience in applied AI or automation engineering within operational environments
• Strong programming skills in Python and SQL
• Experience building data pipelines and integrating systems via APIs and structured data feeds
• Proven ability to build reliable, production-grade systems with monitoring and testing in place
• Experience with version control and CI/CD practices
• Strong system design capability with an end-to-end mindset

What They Offer

• Competitive salary and comprehensive benefits package
• Opportunity to build a high-impact AI platform from inception
• A collaborative and inclusive working culture
• Strong exposure to modern AI, data engineering, and automation technologies
• Clear scope for professional growth and ownership of key systems

How to Apply
If you are interested in applying for this Applied AI Engineer role, please submit your CV for consideration.

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ANALYTICS ENGINEER (12-MONTH FTC)
REMOTE (UK BASED)
UP TO £90,000

This is a unique opportunity to step into a high-impact Analytics Engineer role within a purpose-driven organisation at a pivotal stage of its data journey. You will take ownership of critical data modelling work within a modern cloud environment, helping to stabilise and scale key data pipelines while contributing to meaningful, real-world outcomes.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Own and deliver in-flight data modelling projects, ensuring continuity and completion
• Design and maintain dbt models including fact tables, dimensions, and metric layers
• Support and optimisie critical data pipelines, particularly around billing and reporting workflows
• Collaborate closely with data engineers to manage data flows across the lakehouse architecture
• Review and improve SQL and dbt work produced by analysts
• Build new scalable data models and contributing to long-term platform development
• Work autonomously within a fast-moving, evolving data environment

Your Skills & Experience

• Strong hands-on experience with dbt and modern data modelling practices
• Advanced SQL capability with the ability to design efficient, scalable queries
• Experience working with Python within a cloud-based data platform
• Strong understanding of dimensional modelling and star schema design
• Exposure to modern lakehouse environments such as Databricks is beneficial
• Ability to work effectively in ambiguity and contribute in less structured environments
• Comfortable working autonomously within a small, high-impact team
• Experience in regulated environments or data governance-heavy organisations is advantageous

APPLY BELOW

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DATA MODELLER
LONDON/HYBRID
UP TO £65,000

This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.

ROLES AND RESPONSIBILITIES:
The Data Modeller will:

• Design and develop conceptual, logical and physical data models for enterprise data platforms
• Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases
• Collaborate with data engineers, analysts and governance teams to ensure consistent data standards
• Support multiple projects and ensuring modelling best practices are embedded across delivery
• Contribute to the evolution of data architecture and helping define long term strategy
• Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in data modelling across analytics or data platform environments
• Solid understanding of dimensional modelling techniques including Kimball or Data Vault
• Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure
• Exposure to tools such as Sparx Enterprise Architect or similar modelling tools
• Familiarity with technologies such as DBT, PySpark or Python is beneficial
• Interest in progressing into a data architecture focused role
• Ability to engage with both technical and non technical stakeholders

APPLY BELOW!

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Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I’m hiring for a Product Analyst role at a well‑established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech‑led organisation, giving you massive data, real ownership, and exposure to strategic product work.

You’ll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands‑on, impact‑driven role in a modern data environment with huge opportunities to influence the product roadmap.

What you’ll be doing

• Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour.
• Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing.
• Design, run, and analyse A/B tests and experiments in partnership with product teams.
• Define and track meaningful product metrics; ensure consistent measurement across teams.
• Build and maintain core data products enabling self‑serve insights and faster product decisions.
• Conduct deep dives into user journeys, drop‑off points, behaviour segments, funnel performance, and platform trends.
• Collaborate cross‑functionally with engineers, data teams, product, commercial, and marketing stakeholders.
• Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up‑to‑date.

What you bring

Must‑haves:

• Strong SQL skills.
• 5+ years hands‑on experience with product analytics in a tech or consumer‑app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms.
• Experience running and evaluating A/B tests and experimentation frameworks.
• Ability to translate business problems into analytical tasks and communicate clear, actionable insights.
• Strong storytelling ability, turning numbers into narratives

Good to have:

• Experience working with large‑scale customer behaviour datasets.
• Experience in consumer tech, fintech, loyalty platforms, or other high‑traffic digital products.
• Python/R/dbt exposure (not required).

Industry background:
While open, the strongest fits tend to come from tech‑first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working.

The culture & offer

• A modern, data‑mature environment with over four million UK users and expanding globally.
• A product‑led organisation investing heavily in experimentation and user behaviour analytics.
• Private equity backing driving international expansion and new capabilities.
• Salary up to £90k depending on experience.
• Offices in London and Leicester – 1-2 days a week

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Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

I’m partnered with my client, a leading player in the financial services / lending space, who is scaling their AI capabilities to transform how they deliver credit solutions.

They are seeking a Technical Program Manager to lead execution across high-impact AI initiatives and drive modernization across their lending platform.

What You’ll Be Doing:

• Own delivery of AI-powered initiatives across underwriting, pre-underwriting, and sales workflows
• Build and manage end-to-end execution plans, including milestones and dependencies
• Collaborate with engineering and data teams on architecture and system integrations
• Ensure strong governance, auditability, and deployment processes
• Coordinate MLOps workflows, including model deployment and monitoring
• Act as the key liaison across technical and business stakeholders

What My Client Is Looking For:

• Proven experience in Technical Program Management (5-10 years)
• Track record delivering AI/ML systems or complex technical products
• Strong knowledge of cloud (Azure), APIs, and system integration
• Experience working with CRM platforms such as Salesforce
• Must have a financial services background (fintech, lending, or similar regulated environment)
• Strong problem-solving skills and ability to structure complex initiatives

Why Join:

• Join a business undergoing significant AI-led transformation
• Work on impactful initiatives improving customer experience and operational efficiency
• Collaborate with a forward-thinking team in a high-growth environment

If you’re interested in learning more, feel free to reach out directly.

Technical Program Manager (AI Transformation) – San Diego (Hybrid) – $250k/$350k + Bonus

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Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus

Technical Program Manager – AI Transformation | San Francisco (Hybrid)

I’m working with my client, a rapidly growing organization within financial services, who are investing heavily in AI-driven transformation across their lending platform.

They are looking for a Technical Program Manager (TPM) to play a key role in delivering end-to-end AI initiatives that modernize underwriting, sales, and core operational workflows.

What You’ll Be Doing:

• Drive execution of AI and machine learning programs from concept through production
• Translate business opportunities into structured technical delivery plans
• Partner closely with engineering, data science, and product teams
• Oversee system integration, architecture decisions, and delivery governance
• Lead coordination of AI model deployment, monitoring, and performance tracking
• Manage risks, dependencies, and rollout strategies in a regulated environment

What My Client Is Looking For:

• 5-10 years of experience in Technical Program Management or similar roles
• Strong experience delivering AI/ML or data-driven systems in production
• Expertise in APIs, cloud platforms (Azure preferred), and workflow orchestration
• Salesforce or CRM integration experience is highly desirable
• Financial services experience is essential (fintech, lending, or regulated industries)
• Ability to work across complex, cross-functional initiatives with strong stakeholder management

Why Join:

• Opportunity to shape a multi-year AI transformation strategy
• Work on cutting-edge systems driving automation and intelligent decisioning
• Be part of a high-impact team modernizing credit and lending operations

If you’re a technically strong TPM with a financial services background looking to work on meaningful AI transformation, I’d love to connect.

Technical Program Manager (AI Transformation) – San Francisco – $250k – $350k + Bonus

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