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Data Analyst (SQL, Power BI)

London (Hybrid)

We’re partnering with a leading real estate business to hire a Data Analyst into their Group Finance team.

This role sits within FP&A and focuses on financial reporting, data visualisation, and delivering insight to senior stakeholders, while supporting ongoing reporting transformation.

Key Responsibilities:

• Own and enhance monthly finance & KPI reporting (Power BI / Power Query)
• Build dashboards and improve data models and visualisations
• Manage and analyse development pipeline data
• Support valuation and financial reporting cycles
• Deliver ad hoc analysis and business insights

Requirements:

• Strong Power BI, Power Query & Excel
• Good SQL / database experience
• Experience in finance or FP&A environments
• Understanding of financial statements
• Ability to communicate insights clearly to stakeholders

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

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Senior Fullstack Software Engineer

Location: NYC (Hybrid)

Pay: $170k – $230k

Overview

A fast-growing technology-driven organization in the digital marketing and data space is seeking a Senior Full Stack Engineer to join a small, high-impact engineering team. This role focuses on building and scaling modern frontend and backend services while collaborating closely with data science partners to deploy and serve machine learning models via APIs. The environment favors autonomy, speed, and engineers with a strong bias toward shipping production-ready solutions.

Responsibilities

• Design and build scalable frontend and backend services for core platform initiatives
• Develop and maintain RESTful APIs used across internal and external systems
• Architect and implement microservices to support scalability and flexibility
• Collaborate cross-functionally with product, data science, and technical program teams
• Partner with data scientists to host machine learning models and expose them through APIs
• Own projects end-to-end with minimal oversight in a fast-paced environment
• Troubleshoot complex technical problems and deliver solutions with urgency
• Contribute to CI/CD pipelines and containerized deployment workflows

Must-Have Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related technical field
• 5+ years of professional software engineering experience (full stack)
• Strong coding experience with TypeScript, Python, or similar languages
• 3+ years working with relational databases (PostgreSQL, MySQL, etc.)
• 3+ years building modern frontends with React, Angular, or Vue
• Hands-on experience with Docker, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP)

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Vice President of Engineering

Location: New York, NY (Hybrid)

Compensation: $250k -$300k+ base (competative total compensation)

Overview

This is a senior leadership opportunity within a large, data‑driven, direct‑to‑consumer technology organisation operating at a massive global scale. The environment is fast‑moving, pragmatic, and hands‑on, with a strong emphasis on impact over process. This hire sits within the core product engineering organisation and is highly visible, working closely with executive leadership to modernise customer‑facing platforms, integrate newly acquired products, and drive adoption of AI across applications and internal operations.

Responsibilities

• Lead customer‑facing application engineering across web and mobile platforms at a global scale
• Manage and develop senior engineering leaders, with responsibility for ~150 engineers overall
• Drive integration of newly acquired products and platforms into the core application ecosystem
• Partner with product, data, and executive stakeholders to accelerate growth initiatives
• Champion AI adoption across applications and internal workflows to materially improve productivity
• Evaluate and modernise the existing technology stack, including large‑scale platform migrations
• Ensure high availability, performance, and security of consumer‑facing systems
• Act as a senior technical leader capable of challenging assumptions and improving execution

Must‑Have Qualifications

• 10+ years of commercial software engineering experience, including senior leadership roles
• Proven experience building and scaling large‑scale, real‑time, customer‑facing (B2C) platforms
• Background in fintech or highly regulated environments strongly preferred
• Experience leading globally distributed engineering teams
• Strong technical depth (e.g. Java, Scala, React or similar modern stacks) with migration experience
• Comfortable operating in a highly visible, executive‑facing role driving organisational change

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Partner – Head of US Entity
New York City (Remote East/Mid)
Up to 600,000 total compensation

This is a rare opportunity to launch and scale the US arm of a fast‑growing Data and AI consulting practice. You will shape market strategy, build new business from the ground up, and set the foundations for long‑term commercial success. If you are driven by autonomy, entrepreneurial impact, and high‑value consulting work, this role offers a compelling next step.

The Company

They are a specialist strategy and data consulting firm with a strong track record supporting enterprise clients on high‑impact transformation programmes. Alongside a well‑established global presence, they are now expanding into the US and are making their first senior hire to lead and grow this market. With a boutique culture, low bureaucracy, and a deep focus on quality, they offer a highly collaborative environment and strong commercial backing.

The Role

As Partner and Head of the US Entity, you will be responsible for establishing the firm’s presence and driving commercial growth across the region. You will:

* Generate new revenue and open doors with C‑level stakeholders

* Sell Data and AI transformation programmes to enterprise clients

* Build long‑term client relationships and secure flagship accounts

* Lead the commercial development of the US business

* Shape the go‑to‑market strategy and activate existing network opportunities

* Lay the groundwork for future team growth as the practice scales

Your Skills and Experience

You will be a strong match for this role if you have:

* Proven commercial capability in consulting, ideally selling Data or AI transformation work

* Experience building business from scratch and initiating new market growth

* Ability to engage credibly with C‑level decision‑makers

* A strong network in the US market

* Clear, confident communication skills

* A US base and native‑level English

What They Offer

* Competitive base salary around 200,000 to 300,000 with potential for higher

* Total compensation typically between 400,000 and 600,000

* Performance‑linked bonus

* Equity participation

* Full autonomy to shape the US business

* Entrepreneurial environment within an established global firm

How to Apply

If you are looking to lead and scale a Data and AI consulting practice in the US, please apply with your most recent resume.

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Lead AI Engineer
Arlington, PA – Competitive Salary & Benefits

This is a standout opportunity to shape the future of large‑scale agentic AI systems within a fast‑growing environment. You will take ownership of high‑impact initiatives, guiding the architecture, build, and deployment of cutting‑edge LLM‑powered agents used across complex workflows.

The Company
They are a technology‑driven organisation building AI‑enabled products that support mission‑critical decision‑making. Their teams work across data, engineering, and product to deliver tools that streamline highly complex operational challenges. With strong investment in AI innovation, they offer an environment where advanced experimentation and production‑grade delivery go hand in hand.

The Role
* Lead the technical direction of agentic AI development, from design through to deployment.
* Build multi‑agent systems with planning, memory, routing, and tool orchestration.
* Develop modular agent skills that integrate with backend systems and data pipelines.
* Establish observability and evaluation tooling to ensure robust and reliable agent behaviour.
* Guide and mentor Engineers and Data Scientists, driving technical best practice.
* Work closely with product teams to translate complex challenges into engineered solutions.

Your Skills & Experience
* Strong commercial experience building and productionising ML or LLM‑powered systems.
* Advanced Python engineering skills and experience with cloud infrastructure.
* Hands‑on expertise with LLM integrations and agent frameworks.
* Ability to lead technical delivery and operate effectively in ambiguous environments.
* Skilled in designing scalable, reliable AI architectures.

What They Offer
* Competitive salary with comprehensive benefits.
* A key leadership position with influence over the direction of core AI products.
* Career development within a high‑growth AI organisation.

How to Apply
If you are excited by leading cutting‑edge agentic AI development, apply today.

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Senior AI Engineer
Pittsburgh, PA – Competitive Salary & Benefits

This role gives you the chance to build advanced agentic systems that solve complex, real‑world problems. You will work on high‑impact workflows, building and optimising agents that handle end‑to‑end tasks supported by LLM‑driven reasoning and planning.

The Company
They develop AI‑powered products that enhance decision‑making for highly technical environments. Their teams thrive on tackling complex problems, rapidly iterating, and pushing the boundaries of applied AI. With a culture rooted in innovation, this is a place where you can drive meaningful impact.

The Role
* Design and build agentic systems with tool use, planning, memory, and routing.
* Develop agent skills as modular services interacting with core data and ML systems.
* Own technical architecture across agent workflows, ensuring maintainability and scale.
* Support automated evaluation of prompts, skills, and agent behaviour throughout product lifecycles.
* Collaborate with cross‑functional teams to solve high‑priority challenges with agent‑based solutions.

Your Skills & Experience
* Strong commercial experience developing ML or LLM‑powered systems.
* Advanced Python engineering and cloud environment experience.
* Deep familiarity with LLM algorithms, limitations, and integration patterns.
* Experience with agent frameworks and building complex agentic workflows.
* Ability to work independently in fast‑paced, ambiguous settings.

What They Offer
* Competitive salary and full benefits package.
* Exposure to cutting‑edge agentic AI systems and large‑scale technical challenges.
* Significant impact on the evolution of next‑generation AI capabilities.

How to Apply
If you want to shape the future of AI‑driven workflows, send your application today.

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Lead AI Engineer

Pittsburgh
Up to $200K base

This is a standout opportunity to shape the future of large‑scale agentic AI systems within a fast‑growing environment. You will take ownership of high‑impact initiatives, guiding the architecture, build, and deployment of cutting‑edge LLM‑powered agents used across complex workflows.

The Company
They are a technology‑driven organisation building AI‑enabled products that support mission‑critical decision‑making. Their teams work across data, engineering, and product to deliver tools that streamline highly complex operational challenges. With strong investment in AI innovation, they offer an environment where advanced experimentation and production‑grade delivery go hand in hand.

The Role
* Lead the technical direction of agentic AI development, from design through to deployment.
* Build multi‑agent systems with planning, memory, routing, and tool orchestration.
* Develop modular agent skills that integrate with backend systems and data pipelines.
* Establish observability and evaluation tooling to ensure robust and reliable agent behaviour.
* Guide and mentor Engineers and Data Scientists, driving technical best practice.
* Work closely with product teams to translate complex challenges into engineered solutions.

Your Skills & Experience
* Strong commercial experience building and productionising ML or LLM‑powered systems.
* Advanced Python engineering skills and experience with cloud infrastructure.
* Hands‑on expertise with LLM integrations and agent frameworks.
* Ability to lead technical delivery and operate effectively in ambiguous environments.
* Skilled in designing scalable, reliable AI architectures.

What They Offer
* Competitive salary with comprehensive benefits.
* A key leadership position with influence over the direction of core AI products.
* Career development within a high‑growth AI organisation.

How to Apply
If you are excited by leading cutting‑edge agentic AI development, apply today.

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Senior MLOps Engineer
Location: United States (NYC, Austin, San Francisco preferred)
Remote: Hybrid (2-3 days on-site in major hubs) or Full Remote (US-based
Salary: Competitive base salary + equity
Visa: No sponsorship

Company

High-growth Series B AI startup transforming one of the world’s largest and least digitized industries. The company builds AI-powered platforms and autonomous agents used by thousands of professionals in real-world operational environments. Backed by top-tier venture capital firms, the organization is entering a major scale-up phase, deploying production-grade AI systems across complex workflows and large enterprise customers.

The Role

• Design and manage infrastructure for distributed model training using modern cloud and orchestration tools.
• Deploy and operate machine learning models using Docker, Kubernetes, ECS, and scalable serving frameworks.
• Integrate ML workflows into CI/CD pipelines to support rapid experimentation and reliable deployment.
• Build and maintain robust data and ML pipelines using orchestration tools such as Prefect or Airflow.
• Implement experiment tracking, observability, and monitoring across the full ML lifecycle.

Desired Profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
• 5+ years of experience in MLOps or ML Platform Engineering, including large-scale production deployments.
• Strong expertise with AWS cloud infrastructure, Docker, Kubernetes, and modern MLOps tooling.
• Hands-on experience managing GPU/CPU workloads for Computer Vision, NLP, or LLM-based systems.
• Strong communication skills and ability to operate autonomously in a fast-paced startup environment.

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