data & AI
Diversity Report

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Title: AI Engineer

Location: Remote, United States

Compensation: Up to $250,000 + Equity

We’re partnered with a mission-driven healthcare technology company working at the intersection of clinical data and AI. They’re reimagining how complex clinical workflows are automated, with a focus on making high-quality healthcare data more accessible, structured, and actionable. This is a company building something genuinely novel in a space where the stakes are high and the impact is real.

This is a high-impact role where you will lead AI innovation from the ground up. You won’t just be implementing models, you’ll own the full lifecycle of production AI systems, define how clinical data is extracted and structured at scale, and influence the company’s long-term AI direction. The work spans LLMs, computer vision, and mixed-modal approaches in a domain where rigor and accuracy are non-negotiable.

What You’ll Do

• Design, develop, and deploy novel AI/ML systems – with a focus on LLMs and computer vision – to recover, extract, and automate clinical data tasks across diverse data types including medical records, imaging, and clinical reports
• Build robust prototypes and transition them to scalable, near-production-ready code, applying strong software engineering fundamentals throughout
• Design and execute rigorous statistical validation and evaluation frameworks, defining performance metrics and ensuring models meet stakeholder-defined accuracy thresholds
• Own the human-in-the-loop (HITL) lifecycle, ensuring deployed models can continuously improve over time through structured feedback capture
• Partner closely with software engineering to bring proof-of-concept solutions into production, contributing to key architectural decisions along the way
• Proactively identify high-impact AI opportunities across the business and define how advanced capabilities can address them
• Champion best practices for documentation, experimentation, and code quality across the model development lifecycle – and potentially mentor others in doing the same
• Actively evaluate state-of-the-art approaches, bringing innovative ideas and methods to the team
• Apply and uphold healthcare data privacy regulations and ethical standards in all AI development work

Requirements

• MSc or PhD in computer science, engineering, applied mathematics, statistics, or a related field; BSc with equivalent demonstrated experience also considered
• 2-5+ years of relevant experience in AI/ML engineering or data science, with increasing scope and responsibility over time
• Deep hands-on Python expertise; polyglot coder comfortable across modern programming languages
• Significant experience with at least one deep learning framework (PyTorch, TensorFlow, etc.) applied to LLMs or computer vision in production contexts
• Proven knowledge of the healthcare data domain in at least one area: EHR/EMR, clinical imaging, clinical workflows, or clinical research
• Extensive experience with modern cloud compute and storage platforms (AWS, Azure, Databricks, Snowflake, etc.)
• Solid understanding of database technologies (SQL, NoSQL, etc.)
• Strong familiarity with SDLC and agile methodologies
• Ability to independently architect end-to-end solutions and clearly communicate how they deliver business value
• Excellent written and verbal communication skills – including the ability to present complex technical concepts to non-technical stakeholders

Nice to Have

• Experience with computer vision or multimodal model development
• Background in clinical research, regulated healthcare environments, or medical data pipelines
• Familiarity with EDC systems or clinical trial data infrastructure
• Experience designing or improving HITL feedback systems in production
• Exposure to AI evaluation frameworks or quality assessment tooling

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Founding Data Scientist
NYC (5 Days Onsite – Midtown)
Up to $240K Basic Salary

We’re partnered with an early-stage company operating at the intersection of data, trading, and live events, looking to hire a Founding Data Scientist to help build and scale their core pricing and bidding systems.

This is an opportunity to join a small, high-caliber team where your work will directly influence pricing decisions, inventory strategy, and revenue generation.

What you’ll be working on:
* Pricing and inventory models in a real-time marketplace
* Bidding and trading algorithms
* Machine learning systems used in production
* Model evaluation and performance optimization
* Scaling core data science capabilities from the ground up

What they’re looking for:
* Strong background in machine learning and data science
* Experience building and deploying models into production
* Advanced Python and SQL skills
* Experience working in fast-paced, high-growth environments
* Someone who enjoys solving complex commercial problems

This is a rare opportunity to join at an early stage and help shape both the technical direction and future growth of the business.

Apply below or reach out directly for a confidential conversation.

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Lead AI Engineer
London (Hybrid, 2 days in Soho)

This is a rare opportunity to step into a genuinely business-critical AI leadership role within a large, complex organisation at an early stage of its AI journey. You will have the mandate to shape how AI is built, governed and scaled across the business, with a clear focus on real operational impact rather than experimentation.

The Role

• Take ownership of the end-to-end AI strategy across the organisation, from architecture and tooling through to governance and delivery
• Design, build and productionise LLM-powered workflows and AI-enabled systems used internally across operations
• Identify, scope and deliver new AI use cases that solve tangible business problems
• Build and evolve AI infrastructure without predefined blueprints, making informed architectural decisions
• Partner closely with non-technical stakeholders to translate business needs into scalable AI solutions
• Establish best practices across MLOps, DevOps and responsible AI at enterprise scale

Your Skills & Experience

• Strong software engineering foundations with deep backend experience
• Commercial experience building and deploying AI or LLM-based systems into production environments
• Excellent data fundamentals with the ability to bridge data science and applied AI engineering
• Hands-on expertise across cloud platforms, MLOps, DevOps and modern software engineering principles
• Proven ability to operate at enterprise scale, balancing speed, quality and governance
• Confident communicator who can engage senior stakeholders and operate in ambiguous environments

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Data & BI Analyst – 12 month FTC

The Role

We are looking for a Data & BI Analyst to join a growing data function, working closely with stakeholders across the organisation to understand reporting, analytics, and data requirements. You will play a key role in delivering business intelligence solutions, developing dashboards and reports, improving data quality, and supporting data-driven decision-making. The role combines stakeholder engagement, business analysis, data modelling, and reporting, offering the opportunity to contribute to both operational and strategic initiatives.

Requirements

• Strong experience in a Data Analyst, BI Analyst, or similar analytics-focused role.
• Advanced SQL skills with experience extracting, manipulating, and analysing data from relational databases.
• Experience building dashboards and reports using Power BI.
• Understanding of data modelling principles, including dimensional modelling and star schema design.
• Experience gathering, documenting, and translating business requirements into analytical solutions.
• Knowledge of ETL processes, data integration, and data quality management.
• Experience creating and maintaining data dictionaries, business glossaries, and data governance documentation.
• Strong stakeholder management and communication skills.

What Will Make You Stand Out

• Experience working within regulated or data-intensive environments.
• Strong Power BI and DAX capabilities, including advanced measures and calculations.
• Experience supporting data migration, data cleansing, or data transformation initiatives.
• Exposure to data governance, metadata management, and master data processes.
• Ability to bridge the gap between technical teams and business stakeholders.
• A proactive approach to improving data quality, reporting processes, and business insight capabilities.

If you are interested in the role please apply. To follow up please message me on LinkedIn.

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To Apply for this Job Click Here

BI Data Engineer

The Role

We are seeking an Analytics Engineer to join a growing data function and help shape a modern analytics platform. Working at the intersection of data engineering and analytics, you will build and optimise data pipelines, develop scalable data models, and transform raw data into trusted datasets that support reporting, business intelligence, and emerging AI initiatives. You’ll collaborate with stakeholders across the business to improve data accessibility, quality, and governance while helping drive data-led decision-making.

Requirements

• Proven experience in Analytics Engineering, Data Engineering, or Data Platform development.
• Strong experience building and maintaining ELT/ETL pipelines.
• Proficiency with SQL and Python, alongside modern data transformation and modelling practices.
• Experience working with cloud-based data platforms, ideally Azure.
• Understanding of data quality, governance, testing, and documentation best practices.
• Ability to work with both technical and non-technical stakeholders to translate business requirements into data solutions.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM discipline.

What Will Make You Stand Out

• Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures.
• Exposure to Microsoft 365, Power Platform, or Microsoft Graph API.
• Understanding of AI/ML workflows and the data requirements that support them.
• Experience supporting large-scale data migrations or transformation programmes.
• Background working within architecture, design, engineering, or other creative industries.
• A passion for building scalable, well-governed data solutions that drive business impact.

If you are interested in the role please apply. To follow up please message me on LinkedIn or email me please.

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This is an opportunity to work on real-world AI applications from concept through production, leveraging the latest advancements in large language models, conversational AI, retrieval systems, and intelligent automation. The ideal candidate is a hands-on builder with recent experience deploying production-grade GenAI solutions and thrives in a fast-paced, collaborative environment.

Responsibilities

• Design, prototype, and deploy Generative AI solutions across customer-facing and internal business applications.
• Develop and optimize applications powered by large language models (LLMs), vector databases, prompt engineering techniques, and Retrieval-Augmented Generation (RAG) architectures.
• Build, deploy, and maintain AI-powered chatbots and virtual assistants, ensuring scalability, reliability, security, and compliance.
• Lead the development of AI agents for both digital and voice-based experiences, supporting real-time interactions for customers and employees.
• Evaluate, integrate, and implement third-party AI platforms, APIs, and emerging technologies to accelerate innovation and business value.
• Create proof-of-concept applications to assess new use cases such as document processing, classification, summarization, knowledge management, and workflow automation.
• Optimize prompts, model configurations, and orchestration frameworks to improve performance, accuracy, and cost efficiency.
• Partner closely with data, platform, and MLOps teams to ensure robust deployment processes, monitoring, observability, and governance practices.
• Collaborate with product managers, engineers, and business stakeholders to translate user needs into scalable AI solutions.
• Contribute to architectural discussions and establish best practices for enterprise AI adoption and integration.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related technical field.
• 6+ years of experience in AI/ML engineering, software engineering, data engineering, or natural language processing, including recent hands-on work with Generative AI and LLM-based applications.
• Demonstrated success building and deploying production-grade AI chatbots, assistants, or conversational AI solutions within the last two years.

Required Skills

• Advanced Python programming skills and experience with modern AI frameworks and libraries such as LangChain, Hugging Face, OpenAI, Transformers, or similar technologies.
• Experience working with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or equivalent platforms.
• Strong understanding of RAG architectures, prompt engineering, model evaluation, API orchestration, and LLM optimization techniques.
• Solid SQL skills and experience working with cloud-based data platforms and large-scale datasets.
• Ability to operate effectively in cross-functional teams and collaborate with product, engineering, analytics, and external partners.
• Strong communication skills with the ability to explain complex AI concepts and outcomes to both technical and non-technical audiences.

Preferred Qualifications

• Experience working in highly regulated industries such as financial services, healthcare, insurance, or telecommunications.
• Hands-on experience developing voice AI, speech-enabled assistants, or conversational systems integrated with telephony platforms.
• Familiarity with modern data stack technologies, including cloud data warehouses, transformation tools, and data orchestration frameworks.
• Experience integrating AI solutions with CRM, customer service, or workflow management platforms.
• Exposure to document intelligence use cases including OCR, information extraction, summarization, semantic search, and personalized recommendations.
• Experience supporting customer-facing applications, contact center technologies, or enterprise-scale service operations.

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Commercial Data Analyst

Up to £65k + benefits

Central London based

3x a week in the office

The Role

We are seeking a commercially focused Data Analyst to join a growing analytics function within a fast-paced B2B organisation. Working closely with Commercial, Finance, and Customer Success teams, you will deliver insights that influence pricing strategy, customer retention, revenue growth, and operational performance. This is a highly autonomous role where you’ll be expected to identify opportunities, manage stakeholder relationships, and translate complex data into clear, actionable recommendations for senior decision-makers.

Requirements

• Proven experience using Tableau in a commercial environment.
• Strong SQL skills with the ability to write complex queries independently.
• Experience owning analysis from problem definition through to recommendation.
• Confident communicating insights to both technical and non-technical stakeholders.
• Ability to manage priorities independently and work proactively.

What Will Make You Stand Out

• Experience in a B2B business environment.
• Exposure to pricing, commercial analytics, customer retention, or revenue optimisation.
• Experience working closely with Commercial, Finance, or Customer Success teams.
• A track record of influencing business decisions through data rather than simply reporting on results.

If you are interested in the role please apply. To follow up please email or message me on LinkedIn

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