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Staff Analytics Engineer
Location: Los Angeles, CA | Hybrid
Salary: $180-220k base

We’re partnering with a rapidly scaling, mission-driven advanced technology company operating at the intersection of AI, software, and complex real-world systems. Their platform ingests and operationalizes high-volume, real-time data to support critical decision-making in high-stakes environments.

As the organization grows, they are hiring a Staff Analytics Engineer to take ownership of core data domains and help shape the long-term architecture of the data platform.

The Opportunity

This is a senior, high-ownership role focused on building foundational data systems, not just reporting. You will define and evolve the ontologies and reusable data models that represent how the company operates across domains such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, executive reporting, and operational workflows across the business.

At the Staff level, you’ll influence platform direction, set engineering standards, and serve as a technical leader within the data organization.

What You’ll Do

• Lead the design and implementation of scalable, domain-level data models that serve as the backbone of the business
• Architect ingestion and transformation frameworks across diverse operational systems
• Set best practices for testing, version control, and CI/CD within analytics workflows
• Partner closely with engineering, product, and operations leaders to translate ambiguous needs into production-grade data systems
• Drive roadmap decisions for the data platform, balancing immediate delivery with long-term maintainability
• Mentor and raise the technical bar for analytics engineers across the team
• Push the organization beyond dashboards toward reusable data applications and self-serve analytics at scale

What They’re Looking For

• 7+ years of experience in Analytics Engineering, Data Engineering, or similarly technical data roles
• Deep expertise in SQL and strong proficiency in Python or another programming language
• Proven experience designing scalable, reusable data models in complex environments
• Strong background with modern data stack tools such as dbt, Redshift, and enterprise BI platforms
• Experience shaping data architecture and influencing technical direction
• High ownership mindset with the ability to operate autonomously
• Strong stakeholder management skills with both technical and non-technical leaders
• Ability to obtain and maintain a U.S. Secret security clearance

This is an opportunity to define how data is modeled and operationalized inside a technically ambitious, fast-scaling organization. If you’re excited by building durable systems that leadership relies on to run the business, this role offers significant scope and impact.

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Senior Analytics Engineer
Location: Los Angeles, CA (Hybrid)

Salary: $150-200k base

We’re partnering with a rapidly scaling, mission-focused advanced technology company operating at the intersection of AI, hardware, and large-scale systems. Their software platform aggregates and operationalizes complex, real-time data to power critical decision-making in high-stakes environments.

As the company continues to grow, they are hiring a Senior Analytics Engineer to help architect and scale the core data foundation of the business.

The Opportunity

You will design and implement the core data models that represent how the organization operates across functions such as Finance, Supply Chain, Manufacturing, People, and Operations. These models will power internal applications, workflows, and metrics used by leadership to run the business.

You’ll sit at the intersection of analytics, engineering, and operations, helping build a scalable “digital twin” of a fast-moving, technically complex organization.

What You’ll Do

• Define and develop domain-level data models that reflect real business operations
• Build secure, scalable, and extensible transformations and data pipelines
• Own ingestion and egress frameworks across multiple source systems
• Contribute to architectural decisions and roadmap direction for the data platform
• Partner cross-functionally with engineering, product, and operations stakeholders
• Translate ambiguous business questions into structured, production-grade data systems
• Drive adoption of self-serve data applications beyond traditional BI

What They’re Looking For

• 5+ years of experience in Analytics Engineering, Data Engineering, or highly technical analytics roles
• Advanced SQL skills and strong experience with Python or similar languages
• Demonstrated success building scalable, reusable data models in fast-paced environments
• Experience with modern data stack tools such as dbt, Redshift, and BI platforms; exposure to enterprise data platforms is a plus
• High degree of ownership and comfort operating autonomously
• Strong communication skills and ability to partner with non-technical stakeholders
• Ability to obtain and maintain a U.S. Secret security clearance

This is a high-impact opportunity to shape foundational data systems inside a company solving complex, real-world problems at scale. If you’re excited by building data applications that influence how an organization operates, click apply to learn more.

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Senior / Lead Data Engineer

London, Hybrid. (1-3 Days in London)

Up to £90,000 plus 25% bonus.

This is an exciting opportunity to lead data engineering within a growing organisation that is scaling its cloud data platform. You will take technical ownership of GCP data architecture, guide engineering standards, and deliver high quality pipelines that enable analytics and product teams across the business.

The Company

They are investing heavily in modern data capabilities and are building a cloud‑native environment to support their next phase of growth. Their teams work collaboratively across engineering, analytics, and product, creating an environment where data reliability, scalability, and innovation are core priorities. You will join a function where your leadership has clear impact on technical strategy and delivery.

The Role

* Lead the design and build of scalable data pipelines and platform components in GCP.

* Guide and develop data engineers, ensuring strong engineering practices and delivery standards.

* Create and maintain reliable batch and streaming workflows using GCP native tools.

* Develop robust data models and ensure high quality, well‑documented datasets.

* Champion data quality, governance, observability, and continuous improvement.

* Partner with cross‑functional teams to translate business needs into technical solutions.

* Contribute hands‑on to complex engineering challenges and architectural decisions.

Your Skills and Experience

* Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow.

* Proficiency in Python and SQL for building well‑structured, production‑grade pipelines.

* Familiarity with infrastructure as code, ideally Terraform.

* Experience leading technical delivery or guiding engineering standards.

* Comfortable operating across architecture, hands‑on engineering, and collaboration with non‑technical stakeholders.

* Strong awareness of data quality, testing, monitoring, and modern ELT patterns.

What They Offer

* Salary up to £90,000 plus 25% bonus.

* Hybrid working with office flexibility.

* Pension and a comprehensive benefits package.

* Dedicated training and development budget.

* Opportunity to shape data engineering strategy and influence long‑term platform decisions.

* Clear progression pathways within an expanding data function.

How to Apply

If this opportunity sounds like a good match, please apply with your CV.

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HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

HEAD OF ENGINEERING

Up to £130,000 + BENEFITS

Remote UK based

This is a rare opportunity to lead engineering at scale while working on genuinely complex technical challenges. You’ll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients.

THE COMPANY:

This is a business built on innovation, stability, and genuine technical excellence. Recently recognized for cutting-edge GenAI data work, they’re operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology.

THE ROLE:

• Own and execute the engineering roadmap
• Drive architectural decisions for distributed data processing, ML pipelines, and web architecture
• Ensure systems can scale to handle massive datasets and evolving ML workloads
• Champion best practices around testing, observability, incident response, and documentation
• Set standards for AI-assisted development practices at scale

YOUR SKILLS AND EXPERIENCE:

• Lead multi-disciplinary teams across Backend, Web, Data Engineering, Data Science, QA, and DevOps

• Understanding how ML models are delivered, deployed, and maintained in production
• Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration
• Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity)

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

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

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Software Developer

Guildford (1.5 days a week on site)
Salary £90,000 plus benefits.

This is an exciting opportunity to join a growing engineering team working on complex, meaningful problems across aviation, defence, and public sector environments. You will work on end to end software delivery, solve challenging optimisation and modelling problems, and contribute to high impact products used by major organisations.

The Company
They are a specialist consultancy building bespoke software products that integrate directly into their customers’ environments. Their work focuses on solving high value technical challenges that clients cannot resolve internally, and they prioritise innovation and quality over volume. With rapid growth and a strong pipeline of diverse projects, they offer autonomy, variety, and the chance to work on impactful systems with real world application.

The Role
* Deliver full stack software solutions across backend and frontend.
* Design and build features using Java, Spring and a modern frontend framework.
* Collaborate with data scientists and engineers on optimisation and modelling projects.
* Contribute to engineering best practice across the development function.
* Take ownership of work and drive delivery with minimal oversight.
* Support problem solving, design discussions and code reviews.

Your Skills and Experience
* Strong commercial experience with Java and Spring for backend development.
* Experience with Angular or another modern frontend framework such as React or Vue.
* Confident working across the full stack, including cloud based environments.
* Familiarity with Azure or Terraform is beneficial but not essential.
* Ability to write high quality code with a focus on maintainability and security.
* Comfortable working independently and collaborating in small teams.
* Experience mentoring others is useful but not required.

What They Offer
* Salary of £90,000.
* Hybrid working with 1.5 days per week in the office.
* 5 percent pension match.
* 25 days holiday plus bank holidays, with the option to buy more.
* Five days paid training per year.
* Five days paid charity work per year.
* Up to one month per year working remotely from abroad.
* Annual pay rise and performance based bonus.
* A variety of high impact projects across multiple domains.

How to Apply
If this Senior Software Developer role in Guildford sounds like the right next step, apply today.

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Senior Data Engineer
Central London (2-3 days a week)
Salary £90,000 plus benefits.

This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.

The Company
They are a digital‑focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.

The Role
* Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment.
* Build well structured data models and curated layers to support reporting and analytics.
* Improve data quality, observability, governance, and overall platform reliability.
* Lead architectural decisions and support a review of existing workflows and pipelines.
* Contribute to ongoing transformation and migration projects.
* Provide technical guidance and mentor a junior engineer.

Your Skills and Experience
* Strong commercial experience working with AWS in production environments.
* Proficiency in Python and SQL for data processing and orchestration.
* Experience with Airflow for workflow management.
* Knowledge of cloud data warehousing, ideally Redshift.
* Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub.
* Ability to build reliable, governed pipelines with strong data quality and lineage practices.
* Experience in regulated settings or fast moving scale ups is beneficial.

What They Offer
* Salary of £90,000.
* Hybrid working with 2-3 days in the office.
* A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options.
* Opportunities to influence architectural direction within a modern data and AI function.
* Clear progression as the data team continues to grow.

How to Apply
If this London based Senior Data Engineer role sounds like the right next step, apply now.

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Head of Data and Infrastructure
Remote Working
£100,000 to £140,000 plus benefits and EMI scheme

This is a rare opportunity to join a fast‑growing data consultancy at a formative stage. If you want to shape technical strategy from day one, work directly with clients, and influence how modern data services should operate, this role offers the autonomy and impact you are looking for.

The Company
They are a young and ambitious data consultancy specialising in data engineering, data infrastructure, and applied machine learning. Their mission is to rethink how professional services operate by combining deep technical expertise with a modern, automation‑led delivery model. With strong funding, a clear vision, and early traction with clients, they are building a team that will set new standards for how data consulting is delivered.

The Role
As Head of Data and Infrastructure, you will play a pivotal, hands‑on leadership role across strategy, architecture and delivery. You will:
* Work directly with clients to understand complex, ambiguous challenges and translate them into clear technical solutions.
* Lead architecture design across AWS‑based data platforms, ETL pipelines, and automated workflows.
* Build foundations for scalable data environments including ingestion, normalisation, orchestration and infrastructure.
* Run workshops alongside the founder and shape end‑to‑end solution delivery.
* Contribute to early builds before bringing in contractors as patterns become repeatable.
* Guide clients through their data maturity journey, from unstructured datasets to automation and predictive capability.

Your Skills and Experience
You will be a strong match if you have:
* Deep experience across data engineering, data infrastructure and end‑to‑end platform builds.
* Strong capability in ETL design, data modelling, data normalisation and architecture.
* Confidence working directly with clients in a consultative, solution‑shaping capacity.
* Experience leading or growing technical teams.
* Exposure to AWS, automation tools and orchestrators such as Airflow or Dagster.
* Understanding of machine learning or predictive analytics, even at a conceptual level.
* Experience across multiple industries; familiarity with the music industry is a significant bonus.

What They Offer
* Salary between £100000 and £140000.
* EMI scheme participation.
* Remote working and flexible working practices.
* The chance to make a defining impact at an early stage, with clear routes for leadership growth.

How to Apply
If you are excited by the opportunity to shape platforms, client strategy and delivery in a modern data consultancy, please send your CV to be considered.

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AI Engineer

London, in-person 5 days per week.
Competitive Salary between £160,000 and £180,000 base plus benefits.

This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace.

The Company

They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly.

The Role

• Design, build and deploy production AI models that directly power core product features.
• Work across the stack to take ideas from research and prototyping into robust, user-facing systems.
• Implement, test and optimise model evaluation pipelines to improve quality and reliability.
• Collaborate closely with engineers, product and research to design new AI features end to end.
• Contribute to architecture and infrastructure decisions in a modern cloud environment.

Your Skills and Experience

• Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure.
• Excellent Python skills and a track record of writing production-quality code.
• Experience building and deploying ML or LLM-driven systems into live environments.
• Solid software engineering fundamentals across backend and, ideally, some frontend experience.
• Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure.
• Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team.
• Strong academic background in a relevant subject and/or evidence of high-calibre research or open-source work is highly valued.

What They Offer

• Base salary up to £185000, with potential flexibility for exceptional profiles.
• Meaningful equity package, giving you real ownership in the business.
• Standard pension and a high-quality in-office environment, including weekday meals.
• Visa sponsorship available where required.
• The chance to work directly with founders and senior engineers on complex, high-impact AI problems.
• Clear progression as the team scales, with opportunities to shape technical direction and standards.

How to Apply

If you are interested in this opportunity, please apply below or email me at

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AI Engineer

London, in-person 5 days per week.
Competitive Salary between £150,000 and £160,000 base plus benefits.

This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace.

The Company

They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly.

The Role

• Design, build and deploy production AI models that directly power core product features.
• Work across the stack to take ideas from research and prototyping into robust, user-facing systems.
• Implement, test and optimise model evaluation pipelines to improve quality and reliability.
• Collaborate closely with engineers, product and research to design new AI features end to end.
• Contribute to architecture and infrastructure decisions in a modern cloud environment.

Your Skills and Experience

• Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure.
• Excellent Python skills and a track record of writing production-quality code.
• Experience building and deploying ML or LLM-driven systems into live environments.
• Solid software engineering fundamentals across backend and, ideally, some frontend experience.
• Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure.
• Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team.
• Strong academic background in a relevant subject and/or evidence of high-calibre research or open-source work is highly valued.

What They Offer

• Base salary up to £185000, with potential flexibility for exceptional profiles.
• Meaningful equity package, giving you real ownership in the business.
• Standard pension and a high-quality in-office environment, including weekday meals.
• Visa sponsorship available where required.
• The chance to work directly with founders and senior engineers on complex, high-impact AI problems.
• Clear progression as the team scales, with opportunities to shape technical direction and standards.

How to Apply

If you are interested in this opportunity, please apply below or email me at

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AI and ML Engineer

London, hybrid three days a week.
Competitive salary between £60,000 and £70,000 plus benefits.

This is an exciting opportunity to join a fast‑scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer‑facing AI features, internal automation, and traditional ML models within a modern cloud environment.

The Company

They are a rapidly growing consumer brand and technology business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where your work will have a clear and visible impact.

The Role

• Build and deploy AI and ML models across customer‑facing and internal product areas.
• Contribute to conversational AI and generative AI features that enhance customer engagement.
• Support traditional ML projects including segmentation, forecasting and recommendation systems.
• Develop scalable pipelines and services using Python and cloud technologies.
• Collaborate with engineering, data science and product teams to deliver end‑to‑end solutions.
• Play a key role in scaling AI capability within a lean, high‑performing team.

Your Skills and Experience

• Strong Python engineering skills with experience delivering production models.
• Hands on with AI or ML engineering, including modern LLM, NLP or deep learning techniques.
• Familiarity with cloud environments, ideally GCP, but open to other platforms.
• Understanding of model deployment, microservices, and scalable data patterns.
• Ability to communicate clearly and work collaboratively across technical and non‑technical teams.
• Passion for AI and how it can drive customer experience and business value.
• STEM degree preferred, with experience in a structured engineering or data team.

What They Offer

• Competitive salary plus benefits.
• Hybrid working, typically three days per week in the London office.
• Opportunity to work across generative AI, computer vision, automation and classical ML.
• High autonomy, strong technical ownership and clear career development.
• A collaborative environment with regular interaction across engineering, data and product.

How to Apply

If this AI and ML Engineer opportunity sounds like the right next step, please apply with your CV or email me at for more information.

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