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Founding Data Engineer

Holborn, London (Hybrid: 2-3 days onsite per week)

£75,000-£80,000 + meaningful equity

A newly formed tech startup in London is hiring its first Founding Data Engineer to build greenfield data infrastructure and shape the foundation of a predictive analytics product used by mobile subscription apps.

This role offers genuine influence, autonomy, and the opportunity to build something from the ground up alongside experienced founders.

The role

You will:

• Build production-ready, pythonic data pipelines
• Create data models to organise raw behavioural data
• Support feature engineering for machine learning workflows
• Handle ETL processes and data ingestion across clients
• Identify and resolve data quality issues
• Work closely with senior technical leadership

What we’re looking for

• Outstanding Python skills
• 4+ years in data engineering
• Experience with data cleansing and ETL pipelines
• Strong event-level / behavioural data experience
• Able to work independently and make smart technical decisions

Nice to have:

• pandas / polars
• dbt
• Django or backend exposure
• DevOps or data science familiarity

Why join

• Founding-level ownership
• High-impact, high-autonomy role
• Greenfield build
• Real equity value and exit opportunity
• Fast-moving environment with strong technical peers

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Senior Machine Learning Engineer

Location: New York (Hybrid)

Compensation: $180,000 – $250,000 base salary + Equity

About the Company

We’re partnered with a cutting-edge software company that’s redefining how development teams build, maintain, and scale modern applications. As engineering workflows grow increasingly complex, their intelligent platform empowers teams by deploying AI agents that automate repetitive development tasks, streamline workflows, and enhance productivity. These AI-driven systems are already transforming the software development lifecycle in dynamic environments-and the company is now scaling rapidly to meet market demand.

The Role

As an Applied AI/NLP Scientist, you’ll play a key role in designing and deploying advanced NLP and LLM-based solutions that accelerate and enhance software engineering workflows. Working directly with senior technical leadership, you’ll drive projects from early-stage research to production-ready implementations, with real impact on the development process.

Key Responsibilities

• AI Model Innovation: Architect and implement domain-specific LLM/NLP models tailored to the needs of software engineering use cases-code generation, documentation automation, code review assistance, and more.
• Research to Production: Lead end-to-end development of NLP/LLM solutions, from proof-of-concept to scalable production systems.
• Model Optimization: Improve model efficiency and output through fine-tuning, prompt engineering, RAG (retrieval-augmented generation), and inference techniques.
• Cross-Functional Collaboration: Work alongside product managers, developers, and leadership to ensure AI capabilities align with platform strategy and user needs.
• Thought Leadership: Help shape best practices around applied NLP/LLM development, contribute to internal innovation, and author papers or patents where applicable.
• Mentorship: Provide guidance and mentorship to junior ML researchers and engineers.

Your Skills and Experience

We’re looking for a hands-on NLP expert with a passion for building tools that empower developers:

• 2-8 years of experience in applied NLP or LLM-focused system development.
• Proven track record building and deploying NLP/LLM solutions in production.
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy).
• Experience working with large, unstructured code and text datasets.
• Background in applied research with an ability to bring experimental models into real-world systems.
• Deep understanding of transformer-based architectures, prompt tuning, fine-tuning, and retrieval-augmented methods.
• Strong communication skills and comfort working in fast-paced, ownership-driven environments.
• Advanced degree (PhD or Master’s) in Computer Science, AI, NLP, or a related field (PhD preferred).
• Bonus: Publications in top-tier AI/ML/NLP venues (e.g., NeurIPS, ACL, ICLR, EMNLP).

The Benefits

• Competitive Pay: $200,000 – $250,000 base + performance bonus + equity
• Innovation Ownership: Contribute directly to product innovation and IP
• Comprehensive Benefits: Health, dental, vision, 401(k), generous PTO, and more

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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Data Governance Manager

Hybrid London (1 day/week)

Up to £75,000 + Bonus + Benefits

We’re hiring a Data Governance Manager to help build trusted, well-governed data foundations across a growing, tech-led insurance business. This is a hands-on role shaping how data supports analytics, AI, and decision-making across the organisation.

Why this role?

• Own and deliver a company-wide data governance strategy.

• Work in a modern, cloud-based environment (GCP today – AWS/Azure experience welcome).

• Shape data ownership, quality, lineage, and access control.

• Hire and manage a Data Quality Analyst.

• Hybrid working: 1 day per week in the London office.

• Salary up to £75,000 plus bonus and benefits.

What you’ll do:

• Design and embed scalable data governance frameworks.

• Define data domains, ownership, and stewardship with engineering and business teams.

• Implement standards for data quality, metadata, lineage, and documentation.

• Support compliance, privacy-by-design, and responsible data access.

• Improve data literacy and governance adoption across teams.

What we’re looking for:

• Experience delivering data governance in modern, cloud-based data platforms.

• Strong understanding of metadata-driven governance and analytics/AI data needs.

• Experience with data catalogues, quality, and access control tooling.

• Confident communicator across technical and non-technical stakeholders.

Nice to have:

• Regulated industry experience (insurance/FS).

• Exposure to dbt or modern data tooling.

Cloud note: GCP experience is a bonus, not a requirement – strong AWS or Azure backgrounds are welcome.

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Director of AI

New York

up to £350,000 + Bonus + Carry

A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.

THE ROLE

• Lead AI/data diligence for new investments
• Build and scale a Data & AI practice across portfolio companies
• Co-create AI-enabled value creation plans (VCPs)
• Drive internal AI transformation and platform development
• Represent the firm through thought leadership and industry engagement

REQUIREMENTS

• Proven track record delivering AI/data initiatives in fintech or regulated sectors
• Experience in PE/VC, consulting, or operator roles with value-creation focus
• Deep expertise in:
• LLMs and agent-based architectures
• End-to-end AI/ML development and deployment (MLOps)
• Data governance, privacy, and responsible AI
• Strong commercial acumen and stakeholder influence
• Ability to lead small, high-performing teams

THE BENEFITS

• Competitive base salary + bonus + carried interest
• High-impact, high-visibility role with direct access to investment teams and portfolio leadership
• Opportunity to shape the future of AI in private equity and fintech
• Hybrid working with offices in New York

If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.

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Senior Full Stack Engineer

Location: Manchester

Salary: £60,000 – £80,000

About the Company

I am working with a growing renewable energy organisation who are looking to bring in a Senior Software Engineer.

You will work closely with the Infrastructure team, helping to improve processes, technical quality, and scalability across the platform. This is a customer and stakeholder-facing role, requiring strong communication skills alongside technical expertise.

Key Responsibilities

• Lead development initiatives with a focus on scalability and performance
• Mentor and support mid-level developers, improving team capability and standards
• Drive improvements in coding standards, documentation, and technical processes
• Collaborate with infrastructure and product stakeholders to deliver reliable systems
• Support ongoing migration to a more modern tech stack
• Contribute to CI/CD implementation and DevOps practices
• Enhance integration layers and support development of data platforms
• Participate in architectural discussions and long-term technical planning

Technical Environment

• Backend: PHP & Laravel (primary focus – approx. 80%)
• Frontend: Vue.js

Interview Process

1. Initial screening conversation
2. Introductory chat with senior technical stakeholders (may include discussion of GitHub or previous projects)
3. Technical interview

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Data Scientist & Machine Learning Engineer – Fully Remote

We are currently working on a fully remote, data-driven gaming & entertainment company that’s scaling its Data Science and Machine Learning capabilities across Europe.

The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.
They’re now hiring for:

• Senior Data Scientist

You’ll work on player-behaviour analytics, predictive modelling (churn, CLV, recommendations), and game-economy optimisation. The role involves significant ownership and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.
Tech: Python, SQL, GCP.

• Machine Learning Engineer

Focused on deploying, maintaining, and monitoring ML systems. You won’t be building models but will work closely with DS and engineering teams to ensure performance and reliability. Quality and resilience matter more than years of experience.
What they look for

• Strong technical foundations
• Business awareness and commercial thinking
• High resilience and comfort stakeholder communication and feedback
• Clear communication, especially with senior stakeholders

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Role: Full-Stack Developer
Salary: £50,000 – £55,000
Location: London – Hybrid (3 days office / 2 days home)

Our client is a fast-growing consultancy helping organisations in the legal sector embrace digital transformation. They deliver scalable, secure applications by combining expertise in software development, data, and automation.

They are seeking a Full-Stack Developer to join their expanding team. This is a chance to work across the stack, experiment with new technologies, and grow as the company scales.

The role will involve:

• Building, testing, and maintaining full-stack applications
• Collaborating with stakeholders to gather requirements and shape solutions
• Developing scalable apps with modern frameworks and low-code platforms
• Prototyping and experimenting with new technologies
• Working in agile teams to deliver high-quality software

What you’ll bring:

• 2+ years’ experience in software development
• Proficiency in Python, JavaScript, or C#
• Knowledge of relational databases and RESTful APIs
• Strong problem-solving and communication skills
• Curiosity and eagerness to learn

What’s on offer:

• Hybrid working in central London (Covent Garden/Soho/Southbank)
• Competitive salary + private medical insurance + Cycle to Work scheme
• Modern office with gym, showers, and bike storage
• A supportive, collaborative environment where everyone makes an impact

If you’re passionate about building great software and want to be part of a growing consultancy, apply today.

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HEAD OF SECURITY ENGINEERING – GLOBAL ENTERPRISE

ONSITE – DALLAS FORT- WORTH METROPLEX

SALARY: $200,000 – $235,000 + BONUS + EQUITY

SECURITY ENGINEERING MANAGER

We’re seeking a results-driven and detail-oriented leader to join our global IT team as Head of Security Engineering. This role is central to advancing our cybersecurity program-driving strategy, execution, and optimization of our security engineering services and tool stack.

RESPONSIBILITIES

• Develop and execute the enterprise security architecture and engineering strategy, leveraging NIST frameworks and Zero Trust principles.
• Partner across teams to embed security-by-design, least privilege, and defense-in-depth into solutions, integrating SAST/DAST tools for continuous secure development.
• Lead the delivery and optimization of security tools and architecture, including next-gen SIEM platforms (e.g., Splunk) for real-time threat detection and analytics.
• Automate and enhance incident response using SOAR to streamline detection, remediation, and playbook execution.
• Continuously improve processes, governance, and cloud-native protections-particularly within AWS environments.
• Translate business risks into scalable, practical security solutions that exceed compliance requirements.
• Recruit, mentor, and scale a high-performing security engineering team.
• Use data-driven insights (from SIEM, SOAR, and AWS metrics) to monitor and strengthen security posture.

SKILLS

• Passion for cybersecurity innovation and automation (SOAR, Zero Trust, cloud security).
• Proven success designing and implementing secure architectures across enterprise applications, networks, and AWS.
• Deep expertise in Splunk SIEM, NIST CSF, and Zero Trust implementation.
• Hands-on experience with secure code analysis (SAST/DAST) and DevSecOps automation in CI/CD pipelines.
• Strong communicator who can simplify complex security topics for diverse audiences.
• Knowledge of compliance standards (PCI DSS, GDPR, SOX) and advanced threat defense.

REQUIREMENTS

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.
• 5+ years designing and implementing enterprise security solutions (SIEM, AWS, SOAR).
• 3+ years leading security engineering or operations teams, integrating modern security tooling.
• Experience applying NIST and Zero Trust frameworks and communicating risks across functions.
• Commitment to integrity, compliance, and excellence in hybrid/multicloud environments.

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Senior Software Engineer

New York, NY (4 days on-site)

$200,000-$300,000 + bonus + RSUs

The Company

We’re partnering with a rapidly growing e-commerce technology company that’s redefining how personalization happens in real time. Their platform processes hundreds of thousands of events per second, using advanced data infrastructure and machine learning to deliver relevant, high-value experiences to customers at the moment of engagement.

The Role

We are looking for a strong backend engineer with expertise in both large-scale distributed systems and MLOps.

The Real-Time Relevance team builds the core systems that make these experiences possible-low-latency, high-availability distributed services that power real-time decisioning at scale. As a Senior Backend Engineer, you’ll work at the intersection of backend systems and machine learning infrastructure, building the foundation for fast and accurate responses across billions of events.

You’ll help evolve the company’s feature store service, which provides real-time, low-latency data features to models and other services across the business. The work spans from backend systems design to MLOps-training, deploying, and maintaining models in production environments.

Responsibilities

• Design, build, and maintain backend systems for real-time relevance and ML feature serving
• Develop low-latency, high-throughput distributed systems in Go
• Collaborate closely with ML teams to operationalize models and build reliable MLOps pipelines
• Improve the scalability, reliability, and performance of services that operate at massive scale
• Contribute to the design of real-time data pipelines and feature stores using PySpark and Scala
• Take ownership of projects from design through production within a fast-moving development cycle

Tech Stack

Golang, PySpark, Scala, Spark, Kubernetes, Kafka, and other modern distributed systems tools

Ideal Background

You have deep experience in backend engineering and have worked on systems that move and process large volumes of data in real time. You’re comfortable designing distributed systems that prioritize scale, latency, and reliability, and have worked closely with ML or data teams to build infrastructure that supports production-grade machine learning. Experience in fast-paced, high-performance engineering environments such as top-tier startups or large-scale tech companies is highly valued.

Why Apply

This is a hands-on engineering role with a team that’s shaping the next generation of real-time personalization systems. You’ll have the opportunity to build critical infrastructure, collaborate with world-class engineers, and take on projects that have direct, measurable impact at scale.

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Senior Software Engineer (Backend)

Tech Startup

New York, NY (Hybrid)

$180,000 – $200,000 (Can flex up for Staff level candidates)

The Company:

We’re working with a fast-growing Series B tech start-up that is redefining the hospitality industry by offering premium experiences. With an extensive network of high-end resort partners and a rapidly expanding customer base, this company is building innovative products to enhance guest and partner experiences alike.

The Role:

This backend engineer would be joining their core product team. This team builds the company’s core product. This is a high-visibility role in a company with ambitious growth plans, offering the opportunity to shape technical direction while delivering best-in-class experiences. Their platform sits on both web and mobile and is looking to add engineers to the team to assist with scaling their product.

Key Responsibilities:

• Define and implement architectural strategies that balance long-term scalability with near-term impact.
• Lead technical execution on high-priority initiatives, delivering features that enhance guest and partner experiences.
• Collaborate cross-functionally with Product, Design, and Data teams to build intuitive, high-performance applications.
• Contribute to a modern AWS-based tech stack, leveraging technologies like Ruby on Rails, Node.js, Postgres, MongoDB, and ECS.
• Mentor and support a growing engineering team, fostering best practices in development and architecture.

Skills & Experience:

• Proficiency in modern AWS-based tech stacks, including Ruby on Rails, Node.js, Postgres, MongoDB, and ECS.
• Proven expertise in architecting scalable applications for high-traffic environments.
• Experience working with relational and non-relational databases.
• Strong track record of delivering high-quality, well-tested software.
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders.
• Strong experience using Python
• Passion for building products that provide delightful user experiences while delivering measurable business value.

The Benefits

This role offers a competitive base salary $180,000 – $200,000 plus equity, along with comprehensive health, dental, vision, 401k, and stock options.

There is also a staff opening for this role as well, so candidates who are seeking a higher compensation range (commensurate with years of experience) are encouraged to apply.

Keywords:

• Staff Software Engineer, Ruby on Rails, Node.js, AWS, Postgres, MongoDB, High-Scale Applications, Hospitality Tech, NYC, Equity, Cloud Engineering.

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Staff Data Engineer

Research & Analytics Team

New York, NY (Hybrid)

$200,000-$250,000 + Bonus

The Company:

We’re partnering with a leading real estate and logistics platform that leverages data and technology to drive investment, operations, and portfolio growth. The company manages a large U.S. industrial footprint and uses advanced analytics, automation, and cloud infrastructure to enhance performance, efficiency, and sustainability. As a portfolio company of one of the world’s leading asset wealth management firms, this company has a strong foundation and is looking to continue disrupting the space with innovation.

The Role:

As the Staff Data Engineer, you’ll play a key role in shaping the company’s analytics and research data ecosystem. You’ll design and modernize large-scale data pipelines, improve automation and reliability, and build a robust foundation for analytics and machine learning. Partnering closely with data scientists, researchers, and technology teams, you’ll help define best practices, elevate data quality, and ensure that insights are delivered quickly and accurately across the business.

Requirements:

• Expertise with Azure Databricks and Spark (PySpark)
• Advanced SQL and Python skills for large-scale transformation and automation
• Proficiency with dbt, Snowflake, and Power BI integrations
• Strong understanding of MLOps, CI/CD, and workflow orchestration
• Experience improving data infrastructure performance and reliability
• Collaborative communicator who can translate technical work into business impact
• Bonus: Experience building internal tools or dashboards using Streamlit

Tech Stack:

Azure Databricks, Spark (PySpark), SQL, Python, dbt, Snowflake, Streamlit, Power BI, Azure Data Services, CI/CD tools

The Benefits:

$200,000-$250,000 base salary + bonus, with a comprehensive benefits package.

How to Apply:

Submit your resume through the Apply link on this page.

Key Words:

Staff Data Engineer, Azure Databricks, PySpark, dbt, Snowflake, MLOps, CI/CD, Real Estate, Analytics, Data Infrastructure, Pipeline Automation, Machine Learning Engineering

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Senior Data Engineer

Retail

United States (Remote)

$170,000 -190,000 + Bonus

The Company:

We are working with a large well well-known US retailer who is looking for a strong Senior Data Engineer to build out their data team. This role will have a large impact on the global business helping build and scale their AWS-based infrastructure for data from all of their locations.

The Role:

• As the Senior Data Engineer, you will help work in AI and help build their AWS-based infrastructure and architecture. You will work in a fast-paced start-up environment as you work directly with the Director of Engineering on most projects.
• You will use Airflow to schedule and automate all fintech projects
• You will build out the AWS-based cloud infrastructure using Python, Docker, Terraform, Kafka, Airflow and SQL
• You will build a search engine that lets AI pull from adequate sources, build entire retrieval system with trillions of rows of data that are automated constantly with Airflow

Your Skills and Experience:

• Strong Experience in the AWS cloud environment
• Expert coding in Python and SQL
• Experience using other tools like Kafka, Docker, Terraform, and Airflow
• Strong passion for AI and new tech with experience in a start-up environment

The Benefits:

As a Senior Data Engineer, you will receive a $170,000- $190,000 base. This role also includes bonus, health, dental, and vision care.

How to Apply:

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

Key Words:

AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI, Snowflake, CI/CD

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