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Machine Learning Engineer / Founding Engineer
NYC
Up to $220K

About the Opportunity

I’m working with a high-growth AI startup in New York City that is building intelligent solutions at the intersection of machine learning and cloud infrastructure. This role offers the chance to join a small, ambitious team where you’ll have genuine ownership and impact.

The Role

We’re looking for a Machine Learning Engineer who enjoys working hands-on across the stack and is comfortable taking projects from 0→1. You’ll:

• Build and deploy ML pipelines at scale.

• Work on AI-powered features such as assistants, forecasting, and anomaly detection.

• Design secure and scalable systems in cloud environments (AWS, GCP, Azure).

• Collaborate directly with leadership on product direction and technical decisions.

Profile

• 5+ years of applied ML/AI engineering experience.

• Strong Python skills with frameworks like PyTorch (bonus if you’ve worked with Hugging Face or LangChain).

• Proven track record of shipping ML features into production.

• Solid understanding of cloud infrastructure and tools like Terraform/Git.

• Startup mindset: proactive, adaptable, and motivated by building real-world products.

Location & Package

• Hybrid – New York City (West Village).

• Competitive salary in the range of $160k-$220k + benefits.

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Director of AI
USA – Full Remote (Need to be USA based)
Up to $300K + bonus + equity

Company:

Join a US-based company on the frontlines of AI transformation in the home services space – using agent-based automation to optimize how operations run, from dispatch to finance.

Mission:

We’re hiring a Director of Agentic Data Systems to lead the charge in structuring, delivering, and scaling the company’s data infrastructure. This is a unique opportunity to build an end-to-end data layer that fuels everything from dashboards to decision agents, real-time, reliable, and actionable.

You’ll work closely with executive leadership, manage a lean team, and own systems critical to frontline execution and innovation.

Profile:

• 7+ years in analytics, data engineering, or infrastructure

• Experience in high-volume operations (marketplaces/logistics ideal)

• Hands-on with Snowflake, Fivetran, dbt, Looker/Tableau

• Experience building agentic systems or interfacing with AI workflows

• Builder mindset – thrives in speed, ambiguity, and autonomy

• Bonus: Python, LangChain, agent design exposure

Fully remote (US only). High-impact, high-visibility role with strong comp.

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Lead Computer Vision Engineer – Multimodal AI Systems
Location: New York City or Remote (US-based)
Up to $300k base

Our client is a fast-scaling AI startup tackling complex real-world challenges with cutting-edge technology. They are building intelligent systems that combine computer vision, multimodal models, and generative AI to transform how industries operate. With strong venture backing and enterprise clients already onboard, this is a chance to join a high-growth environment where your work will directly impact mission-critical workflows.

We are seeking a Lead Computer Vision Engineer with a proven track record in both technical excellence and team leadership. This role is ideal for someone who can bridge hands-on engineering with mentoring and managing a team, helping to set technical direction while ensuring delivery of production-ready AI systems. You’ll play a pivotal role in building advanced vision pipelines (detection, segmentation, transformers, 3D vision) and integrating them with large language models (LLMs) and vision-language models (VLMs) into real-world multimodal systems.

Responsibilities:

• Lead and mentor a team of computer vision and ML engineers, fostering collaboration and growth

• Define and drive the technical roadmap for vision-related projects

• Architect and deliver computer vision solutions across detection, segmentation, classification, 3D perception, and multimodal workflows

• Oversee integration of CV models with LLMs/VLMs for reasoning and automation

• Collaborate with cross-functional teams to bring research to scalable production systems

• Stay up to date on cutting-edge research (transformers, diffusion, multimodal agents) and apply relevant innovations

Requirements:

• 6+ years of professional experience in computer vision, deep learning, or applied ML

• Minimum 2+ years in a management role with proven team or project leadership

• Hands-on expertise with frameworks such as PyTorch or TensorFlow

• Solid track record deploying production-ready CV systems at scale

• Experience with vision transformers, multimodal models (CLIP, BLIP, Flamingo, etc.), and generative AI

• Strong communication skills, able to work with both technical and non-technical stakeholders

• US-based (NYC preferred, remote possible)

Nice to Have:

• Background in robotics, industrial AI, or applied CV in real-world environments

• Contributions to open-source CV/AI projects or publications in top-tier conferences

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The company:

The firm is a global consulting and analytics organization that partners with leading enterprises to deliver measurable business impact. It combines deep domain expertise with advanced data science and technology to solve complex operational and strategic challenges.

What you’ll do:

• Analyze customer support center operations through data modeling and shadowing
• Support the client’s migration to Python from legacy systems (SAS, other databases)
• Build and optimize models to improve scheduling, workflows, and customer experience
• Contribute to advanced operational research and non-linear programming in later phases
• Collaborate with stakeholders to deliver actionable, model-driven insights

What we’re looking for:

• 2-3 years of experience in data science / modeling roles
• Strong skills in Python, Pandas, NumPy, and SQL
• Exposure to operational research or customer support center/back-end operations a plus
• Hands-on experience building models (not just ETL pipelines)

If this opportunity aligns with your skills and interests, we encourage you to apply and explore the role further

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Staff ML Engineer
USA – Remote (Need to be in the USA already)
Up to $225K

Company

A rapidly growing AI-first fintech company revolutionizing financial advice using LLMs and agentic automation. Founded by serial entrepreneurs with prior exits and backed by top-tier strategic investors.

Mission

You’ll lead technical development on high-impact generative AI products, with ownership across design, modeling, fine-tuning, evaluation, and production deployment. Your work will power intelligent financial guidance systems used across advisory, B2B, and consumer-facing interfaces.

Key Responsibilities

• Fine-tune open-source and proprietary LLMs for summarization, reasoning, planning

• Build and optimize RAG pipelines with embedding tuning, reranking, hybrid search

• Lead implementation of agentic workflows for AI agents acting autonomously

• Apply reinforcement learning techniques (PPO, DPO, etc.) to improve model behavior

• Deploy models at scale with high availability and low latency

• Work closely with engineering and product to deliver end-to-end systems

Profile

• 5+ years experience in ML/AI engineering

• Proven experience building and shipping GenAI products

• Deep expertise in LLMs (LoRA, QLoRA), vLLM, fine-tuning, RAG, RLHF

• Familiarity with LangChain, LangGraph, CrewAI or similar frameworks

• Experience in high-paced, product-driven environments (startups a plus)

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Product Data Analyst
Up to £85,000
Hybrid – Leicester (2x days a week)

THE COMPANY
Our client is a leading UK brand with a subscription-based model. They serve a large, loyal membership base, making customer behaviour, retention, and lifetime value key to their growth. Data and reporting are central to driving these insights.

We’re looking for a Product Data Analyst to join a growing data team during an exciting phase of expansion. This role offers the chance to shape how analytics drives product decisions and customer strategy in a fast-paced, subscription-based business.

You’ll work closely with product, engineering, and commercial teams to uncover customer behaviour, run deep-dive analysis, and deliver insights that directly impact business performance. You’ll also define metrics, build dashboards, and champion a data-first approach across the organisation.

THE ROLE

• Translate data into actionable insights that inform product strategy
• Build and maintain dashboards and self-serve tools for stakeholders
• Analyse customer behaviour to identify opportunities and pain points
• Partner with cross-functional teams to embed data into decision-making

SKILLS AND EXPERIENCE

• Strong SQL skills
• Experience with dbt for data modelling and transformation
• Proficiency with data visualisation tools (e.g., Looker, Tableau, Power BI)
• Background in product analytics (experiments, funnels, customer journeys, etc.)

Send your profile to register your interest. Please note we cannot offer sponsorship

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Marketing Analytics Manager
£65,000
Remote

The Company
Our client, a leading business in the financial sector, is seeking a Marketing Analytics Manager to join their team.

The Role
You will be responsible for analysing performance across a variety of direct marketing channels, with a primary focus on SMS and email, alongside some exposure to digital channels. Your insights will help the business better understand customer engagement and drive both acquisition and retention strategies.

Skills & Experience
Strong skills in SQL, Python, or R
Proficiency with data visualisation tools
Experience in A/B testing and campaign optimisation
Background in financial services is required.

Apply
To register your interest, please send your profile
Please note: sponsorship is not available for this role.

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Backend Engineer (Python/Django)

Hybrid (Sheffield) – £60,000

We are working with a high-growth fintech scale-up who are looking to bring on a Backend Engineer into their growing data team. They are innovating rapidly and looking for top engineering talent to support their next phase of growth.

As a Backend Engineer, you’ll play a key role in building and scaling the company’s core payment infrastructure.

Responsibilities

• Design, build, and maintain scalable backend services and APIs
• Write production-quality Python and Django code with a focus on performance and maintainability
• Work with the Django ORM at a deep level to ensure efficient data operations
• Collaborate in agile sprints with product and engineering teams
• Debug, diagnose, and resolve issues across the platform
• Contribute to backend infrastructure, deployment pipelines, and monitoring/logging
• Mentor junior engineers and promote best practices

Tech Stack

Essential:

• Python
• Django (ORM)
• Broader backend experience
• SQL expertise
• Familiarity with CI/CD and scalable systems

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Senior Software Engineer

An AI forward digital agency is looking for a Senior Software Engineer to take technical ownership of new greenfield features in a fast-paced, start-up-style environment. You’ll work closely with stakeholders and in a team of 2 back-end developers.

• Location: Shropshire – hybrid
• Salary: Up to £75k
• Tech: Python, GCP (preferred), bonus if you’ve worked with AI/LLMs
• Experience: 3+ years, ideally from start-up or scale-up backgrounds

You’ll be hands-on with code, involved in architectural decisions, and help shape a growing engineering function within a scaling business.

Interview process:

1. Introductory chat (light technical)
2. Take-home solution design test
3. Deep-dive technical interview

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Job Title: Product Engineer
Location: Remote
Salary: £72,000 – £110,000 + stock options

I’m working with a fast-growing SaaS scale-up software organisation.

They’re looking for a Principal Product Engineer who thrives in a collaborative, product-focused environment. You’ll be part of a cross-functional squad (PM, designer, engineers, data) and involved throughout the product lifecycle – from ideation to release.

Tech Stack

• Frontend: React (core), Storybook, some legacy Marionette (Backbone.js).
• Backend: Ruby on Rails (relative flex on this).
• Infrastructure: AWS (serverless functions with Lambda, cloud hosting)..

Interview Process

1. Tech + product chat (30m): exploration of experience and product mindset.
2. Coding exercise (1h15m): React-based technical task.
3. Product engineering exercise (1h): problem-solving + approach to building.
4. Values interview with founders (1h).

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