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VP AI Engineer
$220K base + bonus + RSU
New York or San Francisco

A global financial technology organisation operating at enterprise scale, combining advanced software engineering, data science, and applied AI to modernise large-scale production systems. The company invests heavily in automation, operational excellence, and AI-driven infrastructure, building mission-critical platforms used across complex, high-reliability environments.

Mission

• Design and deploy agentic AI systems to automate and optimise large-scale production environments
• Build LLM-powered solutions that diagnose issues, reason over complex systems, and take secure, auditable actions
• Develop RAG pipelines and domain knowledge systems with strong data quality, feedback loops, and governance
• Productionise LLMs: evaluation frameworks, prompt orchestration, response validation, self-correction loops
• Integrate AI agents with observability, incident management, deployment, and runtime platforms
• Implement safety, reliability, and compliance guardrails (policy enforcement, rollback strategies, circuit breakers)
• Optimise performance, cost, and latency through prompt engineering, caching, routing, batching, and streaming

Profile

• Bachelor’s degree in a quantitative or computational field (Master’s / PhD preferred)
• 7+ years of experience in applied ML, data science, or software engineering in production environments
• Strong hands-on development in Python (or C++ / Java / Go), building large-scale applications
• Practical expertise with LLMs: prompt engineering, fine-tuning/adaptation, RAG, tool-calling agents, vector search
• Experience building secure, explainable, and reliable AI systems with strong governance and auditability
• Comfortable collaborating across engineering, infrastructure, and operations teams with measurable business outcomes

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Senior ML Engineer
NYC
Up to $200K base + bonus + equity

Company

A global, AI-driven technology company operating at the intersection of machine learning, large-scale data, and digital advertising. The business builds advanced optimization and decisioning systems used by some of the world’s largest brands to improve performance at massive scale. Environment is highly technical, product-focused, and data-heavy, with real-world impact and strong engineering culture.

Mission

• Own and improve advanced optimization and bidding algorithms used in production
• Design, develop, and ship new ML-driven features and products
• Solve non-standard ML and statistical problems
• Operate and support production ML systems, including incident analysis and impact assessment
• Partner closely with Product and Engineering to translate business needs into technical solutions
• Contribute to system design, code reviews, and architectural decisions
• Release features continuously using CI/CD and infrastructure-as-code practices

Profile

• Master’s degree (or equivalent) in Applied Mathematics, Statistics (Mandatory)
• Minimum 3+ years of professional experience building data-driven or ML systems (excluding internships)
• Hands-on exposure to production environments
• Strong communication skills and ability to work in cross-functional teams
• Experience in AdTech or large-scale optimization systems is a plus, but not required

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Senior AI Engineer
New York (in person)
Up to 200K base + bonus

I’m working on an exclusive search for a Senior AI Engineer to join a high‑calibre investment organization that is building an internal AI and data science capability from the ground up.This is a hands‑on, senior‑level engineering role with real ownership. You’ll sit close to decision‑makers and design production AI systems that directly influence how investments are sourced, evaluated, and monitored.

The opportunity

• Act as the technical lead for advanced AI and LLM‑driven systems used across investment workflows
• Own architecture and complex builds, including agentic workflows, RAG systems, and evaluation frameworks
• Lead development of high‑impact projects spanning research, diligence, portfolio monitoring, and knowledge management
• Set technical direction, review code, and mentor engineers while remaining fully hands‑on
• Partner closely with non‑technical stakeholders to translate AI capabilities into intuitive, high‑value tools
• Evaluate vendors, platforms, and infrastructure with clear build vs buy recommendations

Background they’re looking for

• 5+ years of software engineering experience, including 2+ years building production AI/ML or LLM‑based systems
• Strong Python fundamentals and experience with cloud infrastructure (AWS) and CI/CD
• Deep understanding of modern LLM patterns: embeddings, vector databases, prompt engineering, RAG, agentic systems, and evaluation
• Experience delivering end‑to‑end AI products, not just prototypes
• Comfortable leading technically in a small, high‑impact team
• Clear communicator who can work effectively with non‑technical partners
• Financial services experience is a plus, but curiosity about investment decision‑making is essential

Why this is compelling

• Rare chance to build AI platforms from scratch inside a decision‑driven environment
• Significant technical ownership and visibility at senior levels
• Small team with high expectations and real influence
• Competitive compensation and strong long‑term upside

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Senior Consulting Manager

Salary
£100,000-£120,000 + bonus

Location + work pattern
London or Leeds (Hybrid – 2 days per week in office/client site as required)

THE COMPANY
This organisation is a well-established provider of data, analytics and decisioning solutions to major financial services, fintech and payments businesses. As part of a strategic expansion, they are investing in a high-impact consulting function designed to help clients turn data into tangible commercial outcomes across the customer lifecycle.

THE ROLE
You will lead end-to-end analytics consulting engagements, acting as a trusted advisor to senior stakeholders while helping to build and scale a growing consulting capability. This is a highly visible role with clear progression into leadership.
Specifically, you can expect to be involved in:

• Leading delivery of analytics-led consulting projects from problem definition to actionable recommendations
• Owning senior client relationships across banking, fintech and payments organisations
• Translating complex analytical outputs into clear, commercially focused insights
• Supporting business development through proposals, pitches and shaping new opportunities
• Collaborating with data science and analytics teams to deliver scalable, high-quality solutions

YOUR SKILLS AND EXPERIENCE

• Proven experience in analytics or data-led consulting within financial services, fintech or payments
• Experience within a credit risk environoment, working on customer acquisition or ECM.
• Strong client-facing skills with the ability to manage senior stakeholders and lead project
• Ability to communicate complex ideas clearly to both technical and non-technical audiences
• Understanding of lending products (e.g. credit cards, loans, mortgages) and customer lifecycle analytics
• Familiarity with analytical tools such as SQL, Python or visualisation platforms

THE BENEFITS

• Performance-related bonus
• Competitive ension and healthcare package
• Generous annual leave allowance
• Flexible and hybrid working model
• Ongoing learning and development opportunities

THE PROCESS

• Initial interview
• Case study / presentation stage
• Final senior stakeholder interview

HOW TO APPLY
Please register your interest via the apply link on this page.

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Director of Data Center Site Operations (Campus Lead)

Location: Dallas, TX – Remote
Full-Time | Onsite

Salary: up to $275,000 + equity + bonus

Overview

We are seeking a Director of Data Center Site Operations (Campus Lead) to oversee all aspects of operations for a large-scale data center campus. This senior leadership role will be responsible for site-wide performance, uptime, and operational strategy, while leading multiple teams across engineering, facilities, and operations.

Responsibilities

• Lead end-to-end operations for a multi-building data center campus
• Ensure 99.999% uptime and world-class reliability performance
• Oversee site leadership team (managers across operations, critical facilities, and engineering)
• Drive incident management, root cause analysis (RCA), and continuous improvement programs
• Own site-level operating metrics, SLAs, and reporting
• Manage relationships with key vendors, utility providers, and partner organizations
• Partner with global operations, construction, and engineering teams on capacity expansion and upgrades
• Establish and enforce operational standards, safety protocols, and compliance frameworks
• Lead workforce planning, hiring, and leadership development initiatives

Required Skills

• 10-15+ years in data center, critical facilities, or mission-critical operations
• Proven experience leading large-scale sites or multi-site environments
• Deep expertise in electrical and mechanical infrastructure (UPS, generators, switchgear, HVAC/chilled water systems)
• Strong track record of operational excellence, uptime management, and SLA ownership
• Experience managing layered leadership teams (managers + individual contributors)
• Familiarity with capacity planning, infrastructure lifecycle management, and expansion projects
• Strong understanding of regulatory, safety, and compliance standards (OSHA, NFPA, NEC)
• Executive-level communication and stakeholder management skills

Preferred Qualifications

• Experience in hyperscale, cloud, or large colocation environments
• Background in Lean, Six Sigma, or operational excellence methodologies
• Bachelor’s degree in Engineering, Facilities Management, or related field (or equivalent experience)

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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Head of Data Center Capacity & Strategy

Location: New York, NY / Remote (U.S.)
Full-Time

Salary: up to $400,000 + equity

Overview

We are seeking a Head of Data Center Capacity & Strategy to drive long-term infrastructure planning and growth strategy.

Responsibilities

• Develop capacity forecasting and demand models
• Align infrastructure growth with business and cloud demand
• Lead strategic planning for global data center expansion
• Partner with finance, engineering, and operations
• Evaluate market opportunities and site selection

Required Skills

• 8-12+ years in capacity planning, infrastructure strategy, or cloud ops
• Strong analytical skills and data-driven decision making
• Experience with hyperscale or cloud infrastructure growth
• Knowledge of regional power, land, and connectivity considerations
• Executive-level communication and stakeholder management

Requirements

• U.S. work authorization required (no sponsorship available)

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Director, Data Center Operations (Hyperscale)

Location: Remote within the US
Full-Time | Salary: Up to $300,000

Overview

We are seeking a Director of Data Center Operations to lead multi-site operations across a growing hyperscale footprint. This role will drive uptime, operational excellence, and team leadership across critical environments.

Responsibilities

• Lead end-to-end operations across multiple data center campuses
• Ensure 99.999% uptime and SLA adherence
• Build and lead high-performing teams (managers + engineers)
• Oversee incident management, RCA, and continuous improvement
• Manage vendors and third-party service providers
• Partner with engineering, construction, and capacity planning teams

Required Skills

• 10+ years in data center or critical facilities operations
• Strong expertise in electrical/mechanical infrastructure (UPS, generators, chillers)
• Experience with Tier III/IV environments
• Proven leadership across multi-site operations
• Deep knowledge of SLA management and reliability metrics

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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Role: Director, Critical Facilities Operations

Location: Phoenix, AZ
Full-Time | Onsite

Salary: Up to $275,000 + bonus

Overview

We are seeking a Director of Critical Facilities Operations to lead mission-critical infrastructure across multiple data center sites or a large campus environment. This role is responsible for operational excellence, up-time, and long-term reliability strategy, while managing teams of managers, engineers, and third-party partners.

Responsibilities

• Lead critical facilities operations across a campus or multi-site portfolio
• Own delivery of 99.999% uptime and SLA performance across all environments
• Oversee layered leadership teams (facility managers, engineers, and technicians)
• Drive preventative and predictive maintenance strategies to ensure system reliability
• Establish and lead incident management and RCA programs with enterprise-level rigor
• Develop and enforce operational standards, safety programs, and compliance frameworks
• Manage relationships with key vendors, OEMs, and service providers
• Partner with engineering, construction, and capacity planning teams on expansions and retrofits
• Own budgeting, forecasting, and cost optimization initiatives for facilities operations
• Drive continuous improvement initiatives (Lean, Six Sigma, reliability engineering best practices)

Required Skills

• 10-15+ years in critical facilities, data center, or mission-critical infrastructure operations
• Proven leadership of large-scale environments (campus or multi-site)
• Deep expertise in electrical and mechanical systems (UPS, generators, switchgear, chillers, HVAC)
• Strong experience with uptime management, SLA ownership, and incident response frameworks
• Demonstrated ability to manage managers and cross-functional leadership teams
• Expertise in maintenance strategy (preventative, predictive, CMMS systems)
• Strong knowledge of OSHA, NFPA, NEC, and regulatory compliance
• Financial acumen with experience managing operating budgets and vendor contracts
• Executive-level communication and stakeholder management

Preferred Qualifications

• Experience in hyperscale, colocation, or enterprise-scale data center environments
• Certifications such as PMP, CFM, or relevant engineering credentials
• Background in operational excellence methodologies (Lean, Six Sigma)
• Bachelor’s degree in Engineering, Facilities Management, or related field (or equivalent experience)

Requirements

• Must be authorized to work in the U.S. (no sponsorship available)

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Principal Platform Architect / Senior Platform Engineer

Location: 100% onsite Dallas, TX – Will pay for relocation
Compensation: $200,000 – $225,000 Base Salary + Benefits

Overview

We are partnering with an innovative technology organization seeking a Principal Platform Architect / Senior Platform Engineer to help define and evolve the foundational infrastructure powering the company’s next generation of applications and services.

This is a highly technical individual contributor role focused on architecture and building a scalable hybrid cloud platform that enables engineering teams to rapidly deploy, operate, and scale mission-critical applications. The successful candidate will serve as a strategic technical leader, designing the blueprint for the platform that underpins the organization’s software ecosystem.

The environment combines private cloud, public cloud, and on-premises infrastructure, requiring a hands-on architect who can bridge infrastructure, cloud platforms, developer experience, and large-scale distributed systems.

What You’ll Do

• Define and evolve the architectural vision for a modern hybrid cloud platform spanning private, public, and on-premises environments.

• Design the foundational infrastructure and platform capabilities that support application development across the organization.

• Build and enhance internal platform products and self-service capabilities used by engineering teams.

• Drive platform engineering best practices, automation strategies, and infrastructure standardization.

• Partner with software, infrastructure, and cloud engineering teams to deliver scalable and reliable platform services.

• Architect solutions supporting high-performance computing, GPU-enabled workloads, and data-intensive applications.

• Lead Infrastructure-as-Code initiatives to automate provisioning, deployment, and operational processes.

• Evaluate and implement technologies that improve scalability, reliability, developer productivity, and operational efficiency.

• Provide technical leadership on container orchestration, cloud-native architectures, and distributed systems.

What We’re Looking For

• 10+ years of experience in platform engineering, infrastructure engineering, cloud architecture, or related disciplines.

• Experience designing and operating large-scale hybrid cloud environments.

• Deep expertise with Infrastructure as Code (Terraform, Pulumi, CloudFormation, or similar).

• Strong experience with Kubernetes and enterprise container platforms such as OpenShift, Rancher, or comparable technologies.

• Hands-on experience with public cloud platforms, particularly AWS.

• Strong understanding of private cloud and on-premises infrastructure architectures.

• Experience supporting high-performance computing (HPC) and/or GPU-based environments.

• Familiarity with large-scale data processing and streaming technologies such as Kafka and Spark.

• Strong understanding of distributed systems, networking, observability, reliability, and platform operations.

• Proven ability to architect platforms used by large engineering organizations.

Preferred Background

• Experience building internal developer platforms or platform-as-a-product environments.

• Experience within large technology organizations or enterprise-scale environments.

• Exposure to modern data infrastructure, real-time streaming systems, and AI/ML infrastructure.

• Strong communication skills with the ability to influence architecture decisions across multiple engineering teams.

Why This Role?

This opportunity is ideal for an architect-level engineer who enjoys designing the foundation that other engineers build upon. You’ll have significant influence over platform strategy, cloud architecture, infrastructure modernization, and the developer experience across a highly technical organization.

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Up to £60,000 + up to 20% bonus
Hybrid – London (2 days per month in Romford)

I’m hiring a Customer Experience Optimisation Manager to join a growing, tech‑focused insurance business and take ownership of experimentation and optimisation across the full customer journey.

This is a high‑impact role, owning how the business tests, learns, and improves performance across marketing and digital channels.

The company

A modern, fast‑growing travel insurance provider operating across multiple brands, focused on delivering strong customer experiences in a highly regulated space.

They sit somewhere between a tech business and a traditional insurer – meaning fast‑paced, data‑driven, and highly commercial.

The role

You’ll be responsible for building and owning the experimentation strategy across the business, working across marketing, customer experience, and product teams.

This is not a narrow product analytics role – it’s holistic experimentation ownership across all channels.

What you’ll be doing

• Own the experimentation roadmap and CRO strategy across the full customer journey
• Design and run A/B tests across email, website, and direct marketing channels
• Identify customer pain points and define optimisation opportunities
• Work with UX, engineering, and marketing teams to implement tests and improvements
• Analyse results and turn findings into scalable business improvements
• Build frameworks for testing, measurement, and continuous optimisation
• Drive a culture of data‑driven experimentation across the business

What you bring

Must‑haves

• Strong experience working in CRO / experimentation / optimisation roles
• Proven experience owning an experimentation roadmap (not just contributing)
• Hands‑on experience running A/B and multivariate testing at scale
• Experience identifying customer journey pain points and driving improvements
• Strong stakeholder skills – able to work across marketing, product, and tech
• Experience with experimentation tools (e.g. Optimizely, VWO, AB Tasty, etc)

Strongly preferred

• Experience in insurance, financial services, telecoms, or regulated industries
• Experience across multiple channels (email, website, direct marketing)
• Background in conversion rate optimisation or digital performance
• Experience in fast‑paced, commercial environments (e.g. retail, travel, eCommerce)

Not the right fit if:

• You’re a pure product analyst who only occasionally runs tests
• You haven’t owned end‑to‑end experimentation strategy
• Your experience is heavily skewed toward reporting, not testing

What they’re looking for

• 5-6+ years’ experience
• A confident, independent operator – able to own this function end‑to‑end
• Strong commercial mindset and focus on measurable outcomes
• Someone who can translate testing into real business impact

The team

• Reports into Head of Marketing / Customer Experience
• Works alongside marketing, CRM, UX, and product teams
• Dedicated CX function already in place – this role adds deep experimentation capability

Why this role

• Full ownership of experimentation across an entire business
• Opportunity to shape a CRO capability from the ground up
• High visibility across senior stakeholders
• Work in a fast‑growing, modern insurance business
• Flexible hybrid working (only 2 days per month in office)

Package

• Up to £60,000 salary
• Up to 20% discretionary bonus

Interview process

• Stage 1: Intro conversation
• Stage 2: Technical + presentation (experimentation focus)
• Final stage: Leadership discussion

If you’re someone who has owned experimentation end‑to‑end and wants a role with genuine autonomy and impact, this is a great opportunity.

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