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LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 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

LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 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

LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 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

LEAD DATA PLATFORM ENGINEER

£85,000 + BENEFITS

PRIMARILY REMOTE

This is a standout opportunity to take ownership of a modern data platform and drive the evolution of a Databricks‑centric environment at scale.

THE COMPANY:

This client are a well‑established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible‑by‑choice working, a positive work‑life balance and a commitment to technical excellence, this is an environment where you can make a visible impact while continuing to grow your expertise

THE ROLE:

You will focus on the design, build and optimisation of the Azure Databricks Lakehouse platform, ensuring it is scalable, secure and reliable. You will work closely with engineers and stakeholders across the business, providing technical leadership and taking ownership of key data platform initiatives.

Key responsibilities include:

• Developing and deploying the Lakehouse platform in Azure.
• Owning Databricks engineering, administration and platform optimisation.
• Designing end‑to‑end data platform solutions
• Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory.
• Creating and maintaining CI/CD pipelines and automated testing frameworks.
• Developing APIs to support integration
• Implementing monitoring, logging and alerting for platform reliability.

YOUR SKILLS AND EXPERIENCE:

• Deep expertise in Databricks, PySpark, Python and SQL.
• Proven experience designing and delivering Lakehouse solutions.
• Strong DevOps capabilities, including CI/CD and automated testing.
• Experience with Infrastructure as Code and cloud automation.
• Familiarity with monitoring, logging and alerting tools.
• Strong stakeholder engagement and the ability to work across teams.
• Experience with APIs and data integration methods.
• Azure Data Factory experience is beneficial.

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £85,000 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

STAFF AI SOFTWARE ENGINEER – AGENTIC SYSTEMS + AI ARCHITECTURE

$250,000 – $300,000 BASE + EQUITY

HYBRID – SAN FRANCISCO (TUES-THURS)

Are you excited about defining AI system architecture and building production-grade systems that power real-world, high-stakes decisions-not just prototypes?

Do you want to shape how agentic AI and LLM systems are designed at scale, influencing both product and engineering direction?

THE COMPANY

A fast-growing, venture-backed SaaS company in the compliance and security (GRC) space, helping organizations build trust at scale.

• Rapid growth and expanding into enterprise customers
• AI is central to the next phase of the company’s evolution
• Building next-gen platform with agentic workflows, LLMs, and automation
• Strong product-market fit with significant investment in AI infrastructure

THE ROLE

As a Staff AI Software Engineer, you’ll define and scale AI system architecture while remaining hands-on in building production systems.

• Architect and scale LLM-powered systems for reasoning, automation, and decision-making
• Design agentic workflows with multi-step orchestration, tools, and human-in-the-loop systems
• Lead development of RAG pipelines (retrieval, embeddings, reranking, evaluation)
• Establish best practices for LLM orchestration, evaluation, and cost/latency optimization
• Influence technical direction across teams and partner closely with product leadership
• Mentor engineers and raise the bar for AI system design and execution

YOUR SKILLS AND EXPERIENCE

• 10+ years of software engineering experience, including 3+ years building AI/LLM systems in production
• Deep expertise in system design and distributed systems architecture
• Strong experience with LLMs, RAG pipelines, and agentic AI workflows
• Strong Python skills (TypeScript a plus)
• Proven ability to design, ship, and scale end-to-end AI systems
• Ability to influence technical decisions and operate in high-ambiguity, fast-moving environments

THE BENEFITS

• Competitive base + meaningful equity
• Hybrid in San Francisco
• Opportunity to define next-gen AI architecture (agentic systems, RAG, LLMs)
• High-impact, high-visibility role with ownership over core product systems
• Work at the intersection of AI innovation and real-world enterprise impact

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior AI Engineer (Agentic Systems & LLM Applications)
San Francisco, CA (Hybrid) Tuesday – Thursday (Onsite)
$180,000 – $220,000 base + equity + benefits

About the Company

This organization builds software that helps businesses operate with greater transparency, accountability, and trust. Its platform supports critical workflows around governance, risk, and operational decision-making, enabling teams to manage complex processes with speed and confidence.

The company has reached meaningful scale and is now investing heavily in its next phase – embedding advanced AI directly into core product workflows. This is not an experimentation layer; these are production systems that customers rely on to make real decisions.

Engineering teams operate with high ownership and low overhead. The environment rewards people who take initiative, challenge assumptions, and deliver systems that work in the real world.

About the Role

This is a high-ownership, builder role for engineers who want to push beyond “feature-level AI” and design systems that actually reason, act, and operate in production.

You will own end-to-end development of AI systems – from architecture and design through deployment, evaluation, and iteration. The focus is on building agentic systems and retrieval-driven pipelines that can handle complex, multi-step workflows across large volumes of structured and unstructured data.

This role is best suited for engineers who have already shipped LLM-based systems and want to go deeper – improving system reliability, designing evaluation frameworks, and building AI that can be trusted in high-stakes environments.

You’ll work closely with product and engineering leadership to define what gets built, not just how it gets built.

Key Responsibilities

• Architect and deploy production LLM systems capable of multi-step reasoning and decision support
• Build and scale agentic workflows that automate complex, long-running processes
• Design end-to-end RAG pipelines (ingestion, embeddings, retrieval, ranking, generation)
• Develop evaluation frameworks and guardrails to ensure system accuracy, reliability, and safety
• Optimize systems for latency, cost efficiency, and production performance
• Partner with product and engineering leaders to identify and prioritize high-impact AI opportunities
• Contribute to backend systems and infrastructure supporting large-scale AI deployment

Must Haves

• 7+ years of software engineering experience, including 2+ years building AI/ML systems
• Strong Python expertise and experience building production-grade systems
• Proven track record shipping LLM-based applications into production
• Hands-on experience with RAG pipelines, embeddings, and vector databases
• Experience building agent-based or multi-step AI systems
• Strong system design skills with experience in distributed systems
• Clear ownership of systems from initial concept through production and iteration

Nice to Have

• Experience with workflow orchestration or distributed task systems
• Familiarity with backend systems or TypeScript-based services
• Experience working with document-heavy or high-complexity datasets
• Exposure to evaluation frameworks, monitoring systems, or AI safety practices

Why Join

• Build AI systems that operate in real-world, high-stakes environments – not prototypes
• Own the architecture and evolution of agentic systems used by real customers
• Work on problems where correctness, reliability, and trust actually matter
• High autonomy with direct influence on product direction and technical strategy
• Strong compensation, meaningful equity, and comprehensive benefits
• In-person collaboration Tuesday-Thursday with a focused, high-caliber engineering team
• Opportunity to raise the technical bar alongside engineers who have shipped real systems

To Apply for this Job Click Here

To Apply for this Job Click Here

Generative AI Engineer

Amsterdam, Hybrid (2 to 3 days on client site)

Competitive salary and benefits

This is an exciting opportunity to join a specialist AI consultancy where you will help organisations shape and implement impactful Generative AI strategies. You will work closely with clients, solve complex problems, and build solutions that move beyond experimentation into real business value.

The Company

They are a growing consultancy focused on delivering practical and scalable AI solutions. Their work spans strategy, architecture, and hands-on implementation across a wide range of industries. They prioritise collaboration, learning, and high-quality delivery. With a strong focus on innovation, they support clients in adopting Generative AI responsibly and effectively.

The Role

* Develop and deploy Generative AI solutions tailored to client needs.

* Collaborate with stakeholders to translate business challenges into technical approaches.

* Lead discovery sessions and support the design of AI roadmaps and architectures.

* Implement and optimise models using modern LLM frameworks and cloud environments.

* Work on client site in the Netherlands around two to three days per week.

* Support best practices around security, governance, and responsible AI.

Your Skills and Experience

* Strong capability in building and deploying Generative AI or LLM-based applications.

* Proven ability to work directly with stakeholders and communicate complex ideas clearly.

* Experience with cloud platforms, MLOps tooling, and modern AI frameworks.

* Ability to work in a consultancy or client-facing environment.

* Fluency in Dutch and English.

What They Offer

* Competitive salary and bonus structure.

* Hybrid working with autonomy and trust.

* Access to cutting-edge tooling and opportunities to lead high‑impact AI projects.

* Clear progression pathways and ongoing learning support.

How to Apply

If you are interested in this Generative AI Engineer position, please apply with your CV.

To Apply for this Job Click Here

To Apply for this Job Click Here

Head of Analytics

London, Hybrid

£90,000 to £160,000 plus bonus and benefits

This is a high-impact opportunity to shape a central Analytics function within a fast-growing, data-led organisation. You will lead a team at the heart of major transformation across analytics, AI, automation, and decisioning, giving you the scope to influence strategy while remaining hands-on.

The Company
They are a data-centric business investing heavily in analytics, AI, and modern data platforms. With strong commercial momentum and an evolving technology landscape, they are building out a central Analytics and MI capability to drive smarter, faster decision making. The organisation values innovation, collaboration, and the ability to turn data into meaningful insight.

The Role
You will lead a centralised Analytics and MI team, operating as a shared service across multiple business units including Finance, Marketing, and senior leadership.
Key responsibilities include:
* Evolving the function from reporting to actionable insight.
* Embedding AI tools into analytics workflows.
* Driving automation and improvements to data structures.
* Supporting the rollout of a new decision engine platform.
* Managing stakeholder relationships and prioritising work across diverse teams.
* Balancing leadership with hands-on analytical delivery.

Your Skills and Experience
* Strong experience leading Analytics or MI teams within a data-rich environment.
* Ability to translate data into clear commercial insight.
* Hands-on technical capability in SQL and Python.
* Familiarity with modern data tools such as Snowflake and Power BI or similar platforms.
* Experience using AI tools or automation in analytics workflows.
* Confident communicator with strong stakeholder management skills.
* Background in financial services is helpful but not essential.

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

To Apply for this Job Click Here