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Senior AI Engineer

San Francisco or New York · Up to $300k base + significant performance bonus · In-person · No sponsorship

I’m working on a rare and genuinely compelling search with a leading global investment firm. They’re building an internal AI function from the ground up – a small, high-impact team embedded directly within the investment organisation – with a mandate to reimagine how investment work gets done using AI.

This is not a side project or an innovation lab. The firm has operated using the same Excel, PowerPoint, and email workflows for 25+ years and has made a deliberate decision to change that. You’ll be identifying the repetitive, high-volume analytical work happening across the firm and building the agentic systems that automate and augment it – working directly alongside experienced investment professionals every day.

The culture is flat, entrepreneurial, and deeply technical. These are smart people who take a meritocratic approach and trust their team to manage their own work. If you want proximity to senior decision-makers and real influence over how a firm at this level operates, there aren’t many roles like it.

What you’ll be doing:

• Design and build the technical architecture for an AI-powered investment platform, including agentic workflows, RAG systems, and LLM-based tooling
• Identify repetitive analytical and operational tasks across the firm and build production-grade systems to automate them
• Integrate LLMs into real investment workflows – connecting AWS, Snowflake, Salesforce, and external data sources
• Build evaluation frameworks to ensure AI output meets institutional-grade standards
• Make build-vs-buy recommendations on AI vendors, platforms, and infrastructure
• Work directly with investment partners and operators, translating complex processes into AI-enabled solutions
• Provide technical direction and mentorship as the team grows

What my client is looking for:

• 5-8 years of software engineering experience, with a deliberate recent pivot into AI/GenAI applications
• Production experience with LLM applications, RAG systems, and agentic frameworks
• Strong Python and cloud infrastructure (AWS preferred)
• Solid software engineering fundamentals – architecture, distributed systems, CI/CD
• Product intuition for AI systems and good judgment on when and how to apply AI effectively
• Comfortable switching between highly technical conversations and discussions with non-technical senior stakeholders
• Entrepreneurial mindset – startup background (Series A-C) is ideal
• Curiosity about investment workflows; prior financial services experience is a plus but not required

Stack includes AWS, Snowflake, Claude, Claude Code, ChatGPT, and Fivetran.

US citizens and GC holders only – no sponsorship available now or in the future.

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Senior AI Engineer – Bay Area – $200k-$250k base + RSUs · Hybrid (Tues-Thurs onsite)

I’m partnering with a fast-growing Series C SaaS company on what is genuinely one of the more exciting AI engineering roles I’ve worked on this year. They’ve hit significant scale, built a strong market position, and are now entering a new chapter – with AI at the centre of everything they’re building next.

This is a production-first role. You won’t be running experiments or building proofs of concept – you’ll be designing and shipping agentic AI systems that automate complex, high-stakes enterprise workflows, replacing weeks of manual effort with intelligent, reliable automation at scale. The impact is immediate and highly visible.

You’ll be joining a collaborative AI team of around 14, with strong alignment to the product and engineering leadership. The culture values curiosity, ownership, and people who challenge ideas – this is a place where strong engineers have real influence over what gets built and how.

What you’ll be doing:

• Design and build LLM-powered agentic systems with multi-step reasoning, evidence grounding, and decision support
• Develop RAG pipelines, vector search, and document parsing and classification systems
• Build and own distributed AI pipelines and long-running agentic workflows using Temporal
• Architect production-grade LLM and retrieval systems, optimising for latency, cost, and reliability
• Embed guardrails, human-in-the-loop workflows, and evaluation pipelines to ensure trustworthy AI outputs
• Partner closely with product and engineering to bring cutting-edge AI from concept to production
• Help set the technical bar for how the team builds with modern LLMs – your decisions shape what ships

What they’re looking for:

• 7+ years of software engineering experience, with 2+ years working directly in AI/ML engineering
• Proven track record shipping production LLM applications – RAG pipelines, agent frameworks, and evaluation systems
• Strong Python; TypeScript is a bonus
• Hands-on experience with vector databases (Pinecone, Chroma, FAISS) and embedding systems
• Comfortable reasoning about distributed systems and decomposing complex problems into agentic workflows
• Startup background is important – they want builders who take full ownership, not order-takers
• Curious, collaborative, and energised by ambiguity rather than unsettled by it

Stack includes AWS Bedrock, Python, Temporal, Snowflake, and vector DB/RAG systems. US citizens and GC holders preferred; exceptional H1B candidates will be considered.

If you’ve spent your career building real AI systems – not demos – and you’re looking for a role where your work genuinely moves the needle for thousands of enterprise customers, this is worth a conversation.

Senior AI Engineer – Bay Area – $200k-$250k base + RSUs · Hybrid (Tues-Thurs onsite)

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Senior Software Engineer Data Platform – Costa Mesa, CA – $170k-$200k + RSUs – Relocation support available – US citizenship or Green Card required

I’m partnering with a fast-scaling technology company on a senior platform hire. They operate in a complex, hardware-integrated environment and are at an inflection point – standing up large-scale manufacturing operations and needing the data infrastructure to match. This is a builder role for someone who thinks in systems, not features.

What you’ll be doing:

• Lead the design and roadmap for the data platform
• Build and own real-time streaming pipelines and batch data systems
• Architect and evolve the data lake, including modernisation and scalability
• Own ingest and egress frameworks that stitch together multiple data sources
• Build backend data services on top of the lake
• Drive reliability, observability, and SLA ownership across the platform
• Partner with engineering, operations, and analytics teams to advocate best practices

What they’re looking for:

• 6+ years blending software engineering and data platform experience
• Strong Python, SQL, and Java or Scala
• Hands-on experience with Spark and Kafka or Flink
• Solid distributed systems and architecture fundamentals
• Experience maintaining and evolving a data lake
• Background in hardware, manufacturing, or physical system data is a strong plus
• High ownership mindset – platform-level thinking, not just feature development

US citizenship or Green Card required.

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Senior Analytics Engineer – Costa Mesa – CA · $170k-$200k +RSUs – Relocation support available – US citizenship or Green Card required

I’m working exclusively with a high-growth technology company (~$32B valuation) that builds complex, hardware-integrated systems. They’ve scaled from 1,500 to nearly 8,000 employees in three years and are investing heavily in data as a core operational advantage.

This isn’t a dashboards role. You’ll own the data ontology for a specific domain – Finance, Supply Chain, Manufacturing, or Operations – and build the workflows and data products that change how the business actually runs.

What you’ll be doing:

• Lead the data modelling for your domain, building reusable entities that reflect how the business operates
• Collaborate with stakeholders to gather requirements and turn them into secure, accurate, and extensible data models
• Proactively seek out problems that can be solved with data and drive them to completion
• Become a trusted resource for leadership, helping them make faster and better decisions
• Own the ingest and egress frameworks for data pipelines that produce valuable data products
• Partner with operations, product, and engineering teams to advocate best practices

What they’re looking for:

• 6+ years in an analytics-focused role
• Expert SQL, solid Python, strong data modelling foundations
• Background in hardware, manufacturing, or telemetry-rich environments is a strong plus
• Confident working with senior, non-technical stakeholders
• Curious, high-agency, impact driven

If you would like more information regarding the role apply or DM me!!

Senior Analytics Engineer – Costa Mesa – CA · $170k-$200k +RSUs – Relocation support available – US citizenship or Green Card required

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Data Analyst
London, Hybrid
Salary up to £55,000

This is an opportunity to join a specialist data and analytics consultancy where analysis directly shapes commercial decisions for well known organisations. You will work on varied, client facing projects that combine complex data, clear storytelling, and real world impact, with the support of a collaborative and analytically strong team.

The Company
They are an established data and analytics consultancy that also develops proprietary data and analytics products. Their work blends large scale data assets with analytics, modelling, and insight delivery to solve complex business problems. Clients span multiple sectors including utilities, energy, telecommunications, financial services, charities, and consumer brands. The organisation is known for its analytical depth, pragmatic delivery, and strong client partnerships.

The Role
As a Data Analyst, you will focus on customer centric analytics, working with diverse datasets to help clients better understand their customers and performance. Your responsibilities will include:

• Leading data discovery and requirements gathering with client stakeholders
• Exploring, cleaning, and analysing complex and often ambiguous datasets
• Combining multiple data sources into a single analytical view
• Delivering insights through analysis, reports, and dashboards
• Presenting findings clearly and confidently, translating analysis into commercial recommendations
• Working alongside data scientists, project managers, and subject matter experts on client engagements

Projects typically begin with a client heavy discovery phase, followed by hands on analytical delivery, offering variety and exposure across different business problems.

Your Skills and Experience

• Strong commercial experience in a data or analytics role
• Advanced SQL capability for data extraction and analysis
• Experience using Python for analysis or automation
• Strong analytical thinking and confidence working with imperfect data
• Experience delivering insights through dashboards or reports, ideally using Power BI or similar tools
• Comfortable working directly with clients and explaining technical findings to non technical audiences
• Consultancy experience or exposure to client facing delivery is highly valued

How to Apply
If you are a Data Analyst looking for a client facing role where your work drives real business decisions, apply now to learn more about this opportunity.

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Client-Facing Data Scientist

Eindhoven, Netherlands (hybrid, 2 days per week on-site)

Competitive salary depending on experience

This is a rare opportunity to step into a genuinely client-facing data science role where communication, consulting mindset and applied analytics carry equal weight. You will work at the heart of complex marketing and media challenges, helping clients make better decisions through advanced data science while shaping how analytics is delivered at scale.

The Company

They are a global media and marketing organisation operating across multiple international markets, delivering integrated, data-driven solutions for well-known brands. With a strong focus on AI, analytics and privacy-first data usage, they invest heavily in modern platforms and advanced measurement capabilities. The culture blends technical excellence with commercial thinking and close collaboration across disciplines.

The Role

• Act as a trusted data science partner for clients, advising on measurement, methodology and analytics strategy
• Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders
• Design and deliver marketing analytics solutions such as marketing mix modelling, attribution and lift studies
• Build and analyse experiments including media, creative and website A B testing
• Develop segmentation and clustering models to support audience and targeting strategies
• Collaborate closely with internal media, product and analytics teams to deliver client-ready outputs

Your Skills and Experience

• Strong commercial experience in data science with a clear focus on applied analytics
• Proven ability to work directly with clients or senior stakeholders in a consultative capacity
• Solid grounding in statistical modelling, experimentation and data analysis
• Experience explaining technical concepts clearly to non-technical audiences
• Exposure to marketing analytics, media measurement or similar domains is beneficial
• Fluent Dutch is essential due to the client base

What They Offer

• Competitive salary aligned to experience and seniority
• A hybrid working model with mandatory on-site collaboration in Eindhoven and flexibility elsewhere
• Exposure to high-impact client projects across marketing, media and advanced analytics
• Clear opportunities to grow your consulting influence and technical depth within a specialist data science team

How to Apply

If you are looking for a client-facing data science role where your insight and communication skills will truly matter, apply now to learn more.

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DATA ENGINEER

Up to £70,000 + BENEFITS
UK (Remote‑first)

This is a great opportunity to join a high‑growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision‑making across the entire organisation.

THE COMPANY:

The business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations.

THE ROLE:

You will take ownership of a modern data platform. Key responsibilities include:

• Owning and developing the end‑to‑end data platform
• Building and maintaining robust data ingestion pipelines into BigQuery
• Designing and maintaining analytics‑ready dbt models
• Partnering closely with the BI Analyst to support company‑wide reporting and self‑serve analytics

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Google BigQuery/GCP (3+ years’ hands‑on experience)
• Data ingestion tools such as Fivetran
• dbt Cloud and analytics‑ready data modelling

THE BENEFITS:

You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Data Engineer

Fully Remote (UK)

Up to £100,000 + Benefits

The Opportunity

We’re looking for a Senior Data Engineer to join a fast‑moving, high‑ownership environment where data sits at the heart of product and decision‑making. This is a hands‑on senior role where you’ll work across the entire data lifecycle – from ingestion and modelling through to orchestration, monitoring, and enabling analytics at scale. You’ll play a key part in shaping data architecture, improving engineering standards, and mentoring others as the team continues to grow.

What You’ll Be Doing

• Owning end‑to‑end data engineering initiatives
• Designing, building, and optimising scalable data pipelines using Python, SQL, and modern orchestration tools
• Developing high‑quality, well‑tested data models aligned with best practices
• Ensuring data quality through testing, monitoring, and alerting
• Contributing to and improving data architecture decisions
• Driving strong engineering practices across the team
• Mentoring and supporting other data engineers
• Participating in code reviews and technical discussions
• Keeping up with emerging trends and tools in the data space

What We’re Looking For

• 5+ years’ experience in a Senior Data Engineer (or similar) role
• Very strong SQL skills (any flavour; Snowflake a bonus)
• Strong Python experience
• Experience across the full data engineering lifecycle (ingestion, modelling, orchestration, monitoring)
• Familiarity with modern data orchestrators (e.g. Dagster, Airflow, Prefect)
• Solid understanding of engineering best practices (testing, clean code, scalable design)
• Comfort working autonomously and taking ownership
• Experience in a start‑up or scale‑up environment is strongly preferred

Tech Environment : Python, SQL, Snowflake, dbt, Apache Iceberg, Dagster, Docker, Terraform, Fivetran, AWS

Experience with all tools isn’t required – strong fundamentals and a willingness to learn matter more.

Salary & Benefits

• Salary: up to £100,000
• Fully remote working (UK‑based)
• Private health insurance (including optical, optional dental)

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Senior Data Engineer

Remote UK, £90,000 to £100,000

This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one.

The Company

They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe.

The Role

• Design, build and own end to end data pipelines supporting real time and batch analytics
• Work on high volume, low latency data use cases with a strong focus on reliability and scalability
• Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control
• Contribute to the design of data models and analytics layers used across the business
• Help implement and mature staging, testing and deployment processes across the data platform
• Collaborate closely with analytics, product and engineering teams to enable better decision making

Your Skills and Experience

• Strong commercial experience as a data engineer in modern, cloud based environments
• Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks
• Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS
• Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg
• Familiarity with orchestration tools such as Dagster or Airflow
• Strong understanding of data modelling concepts and analytics best practice
• A software engineering mindset, including Git, testing and CI/CD workflows

What They Offer

• The chance to help shape a growing data platform and engineering culture
• Clear progression opportunities as the data team continues to expand
• Exposure to complex, real world data challenges at scale

How to Apply

If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

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Senior Software Engineer (Node + React)

£90,000 + Bonus + Benefits
Location: Soho, London
Hybrid: 2 days per week in the office

The Opportunity

Our client are hiring three Senior Software Engineers to join a growing engineering function that builds technology powering large-scale advertising and media platforms.

This is a hands-on senior role for engineers who enjoy thinking about the “why”, not just the “how”. You’ll help shape technical decisions, guide less experienced engineers, and contribute to building well-designed, scalable systems used across major advertising campaigns.

The Challenge

The team is looking for engineers who can:

• Provide technical direction and sound judgement
• Think critically about priorities, architecture, trade-offs, and impact
• Ask the right questions before diving into implementation
• Collaborate effectively and feel comfortable discussing solutions rather than following scripts

They’ve met candidates who look strong on paper but struggle to explain their reasoning – this role is for someone who can clearly articulate how and why they solve problems.

What They’re Looking For

Experience

• Ideally 5+ years of commercial experience
• Experience with NodeJs and ReactJs
• Industry is open (financial services experience may not be the best fit)

Mindset

• Self-starter who can take ownership
• Comfortable leading solutions without formal authority
• Analytical, thoughtful, and curious
• Collaborative rather than siloed

Interview Process

1. 1-hour competency-based interview with the Engineering Director
2. Final onsite interview – problem-solving session using a whiteboard
   • Focuses on approach, reasoning, and collaboration, not coding syntax

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Data Engineer

UK, Fully Remote, £65,000 to £70,000

This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.

The Company

They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.

The Role

You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Responsibilities include:

• Owning and developing the data platform on GCP, ensuring reliability and scalability
• Building and maintaining robust ingestion pipelines using modern ELT tools
• Designing and maintaining high-quality data models to support analytics and self-serve BI
• Partnering with BI and commercial teams to translate business needs into technical solutions
• Supporting data governance, testing, and documentation across the warehouse
• Contributing to ongoing platform improvements, including automation and AI-enabled tooling

Your Skills & Experience

• Strong data engineering fundamentals within a modern cloud data stack
• Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
• Solid data modelling capability for analytics and reporting use cases
• Hands-on experience with infrastructure as code, particularly Terraform
• Comfortable working in scaling environments with evolving data maturity
• Able to communicate clearly with both technical and non-technical stakeholders
• An interest in automation, AI, or improving engineering workflows is beneficial

What They Offer

• High autonomy and the chance to shape a growing data platform
• Clear scope for progression as the data function expands
• Support from an established DevOps and engineering team

How to Apply

If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

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Role: Analytics Engineer

REMOTE

Salary: £60,000 – £75,000 (dependent on experience)

Insight into the Company:

This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform.

The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled.

Role and Responsibilities:

• You will ingest and transform data in snowflake using DBT
• You will support the building of the data warehouse in Snowflake
• You will work to sustain and implement existing ELT pipelines

Skills and Experience:

• Essential to have 3+ years experience in:
• SQL
• Python
• DBT
• Cloud techs such as Snowflake, BigQuery or Databricks
• Dimensional Modelling such as Kimball
• Desirable to have experience with:
• CI/CD pipelines
• Kafka; real-time streaming
• Snowflake as a data warehouse

Interview Process:

There are 4 stages to the process:

1. A 30 minute discussion about experience
2. An hour take home exercise
3. A technical interview with the Data Director and Analytics Engineer

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