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Principal Machine Learning Engineer

New York | Hybrid | Principal IC

$170,000 to $210,000

Join a world‑class AI & ML team building production‑grade Generative and Agentic AI systems at enterprise scale.

The role

As a Principal ML Engineer, you’ll sit at the sharp end of applied AI, architecting and shipping LLM, RAG and agentic platforms used across the business. This is a hands‑on senior IC role with real influence: setting engineering standards, mentoring senior engineers, and shaping AI strategy alongside leadership.

What you’ll be doing

• Designing, deploying and operating LLMs, RAG pipelines and autonomous agents
• Building scalable Python backends & APIs (FastAPI, async systems)
• Owning LLMOps/MLOps, cloud AI infrastructure and observability
• Driving best practice across ML, software engineering and platform design

What we’re looking for

• 10+ years in ML / software / data roles, expert Python engineer
• Strong experience with GenAI frameworks, cloud platforms (AWS/GCP/Azure)
• Production mindset: distributed systems, reliability, scalability
• Comfortable influencing teams and leaders without line management

Why apply

• Principal‑level impact and autonomy
• Cutting‑edge AI at real scale (not POCs)
• High‑trust, high‑performance engineering culture

Apply NOW!

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Staff AI Engineer

(Hands‑on, LLM Platforms, Technical Lead)

Location: New York
Working model: On‑site
Package: Competitive base + performance‑linked upside

The Opportunity

An established, technology‑driven organisation is building a central AI engineering capability to support complex, data‑intensive decision‑making across the business.

This is a high‑impact individual contributor role for a Senior AI Engineer who enjoys operating close to the commercial core. You’ll take ownership of critical AI systems from architecture through to deployment, working within a small, trusted technical group with direct access to senior stakeholders.

The environment suits someone who thrives in low‑bureaucracy, high‑autonomy settings, where AI is expected to deliver real, measurable value, not experiments for experimentation’s sake.

The Role

You will act as the technical lead for advanced AI tooling, owning system design and delivery across a range of internal use cases.

Responsibilities include:

• Designing and building LLM‑based applications, including retrieval‑augmented generation and agent‑style workflows
• Owning end‑to‑end system architecture, performance, and scalability
• Developing AI tools to support research, monitoring, knowledge discovery, and decision support
• Establishing evaluation and quality frameworks to ensure AI outputs meet high reliability standards
• Reviewing code, setting engineering standards, and supporting the development of other engineers
• Partnering closely with non‑technical users to translate complex workflows into intuitive AI products
• Assessing third‑party tooling and platforms where appropriate

This is a deeply hands‑on role with real ownership.

What We’re Looking For

Core requirements:

• Strong software engineering background (Python preferred)
• Proven experience building production AI systems, particularly modern LLM applications
• Solid understanding of:
  • Prompt design and iteration
  • Embedding pipelines and vector databases
  • RAG architectures and tool‑use patterns
  • Model evaluation and monitoring
• Experience deploying AI products used by non‑technical stakeholders
• Comfortable setting technical direction while remaining a builder

Nice to have:

• Exposure to complex analytical or commercial domains
• Experience working in small, senior engineering teams
• Background in cloud‑native environments

Why Join?

• Ownership of mission‑critical AI systems
• Direct visibility of impact, your work will be used day‑to‑day
• Modern AI stack with freedom to make technical decisions
• Long‑term scope to shape and grow the AI engineering function

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Machine Learning Engineer, LLM (Applied AI/NLP)

Location: New York (Hybrid)

Compensation: $180K-$220K base + equity + bonus

About the Company

Join a fast-growing AI startup transforming how development teams build and scale modern applications. Their intelligent platform uses LLMs to automate coding tasks, streamline workflows, and boost developer productivity.

The Role

Lead the design and deployment of advanced NLP/LLM solutions that directly impact engineering workflows code generation, documentation, and review automation. Collaborate with senior leadership to take models from research to production.

Key Responsibilities

• Build and fine-tune LLMs for developer-focused use cases
• Optimize models using prompt engineering, RAG, and inference techniques
• Collaborate across teams to align AI capabilities with product goals
• Mentor junior ML engineers and contribute to internal innovation

What You’ll Bring

• 2-8 years in applied NLP/LLM development
• Strong Python and ML stack (PyTorch, HuggingFace, etc.)
• Experience with large code/text datasets and transformer models
• Advanced degree in CS, AI, or NLP (PhD preferred)
• Bonus: Publications in top-tier ML/NLP conferences

Why Join?

• Competitive pay + equity + bonus
• Direct impact on product innovation and IP
• Full benefits: health, vision, dental, 401(k), generous PTO

How to Apply

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

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Lead AI Engineer

$200,000

Location: Pittsburgh, PA (Onsite)

THE COMPANY

A high‑growth, mission‑driven technology organisation is expanding its advanced AI function. The team specialises in building intelligent autonomous systems designed to operate across complex workflows and high‑stakes environments. Engineers here work on cutting‑edge agentic technologies with significant ownership and impact.

THE ROLE

As the Lead AI Engineer, you’ll guide a specialised engineering team responsible for designing, building, and deploying next‑generation agentic AI systems. You will lead technical strategy, architecture decisions, and hands‑on development, while also mentoring engineers and driving best‑in‑class standards for performance, reliability, and scalability.

You’ll oversee the development of agents capable of long‑horizon planning, tool‑use, memory, and coordination across multi‑agent environments, ensuring they can operate effectively in real‑world mission‑critical settings.

KEY RESPONSIBILITIES

• Lead the design and development of agentic AI systems from conception through production
• Architect multi‑agent systems with planning, routing, memory, and complex tool‑use
• Build modular “skills” and components that plug into backend systems and data pipelines
• Establish evaluation frameworks, telemetry systems, and observability tools for agent behaviour
• Guide Agile processes, technical planning, and day‑to‑day engineering execution
• Partner with product and delivery teams to solve complex operational challenges
• Provide mentorship and technical leadership to engineers and data scientists

EXPERIENCE REQUIRED

• Several years of experience building and deploying ML or LLM‑powered systems in production
• Experience leading or mentoring engineering teams
• Demonstrated expertise in LLM integration and agentic system development
• Strong Python engineering skills
• Hands‑on experience with cloud infrastructure (AWS preferred)
• Familiarity with LLM algorithms, scaling patterns, and system reliability
• Ability to operate autonomously in high‑pace, ambiguous environments
• Comfortable with Git and modern engineering workflows

DESIRABLE EXPERIENCE

• Experience designing or deploying complex multi‑agent architectures
• Exposure to startup or high‑growth engineering cultures
• Experience with GenAI coding tools or best practices for agentic systems
• Eligibility to work in secure or sensitive environments

THE OFFER

• Ownership over next‑generation agentic AI strategy and architecture
• Opportunity to lead a high‑impact engineering team
• Work with cutting‑edge LLM and agentic technologies
• Fast‑paced environment with strong technical autonomy

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Forward Deployed Senior Data Scientist

Salary: $175,000+ (Depending on Experience)

Locations: Remote (with 25% travel)

THE COMPANY

A high‑growth, mission‑focused technology organisation is expanding its advanced analytics and AI function. Operating in a complex, data‑rich environment, the team builds scalable, high‑impact AI systems that support critical decision‑making and deliver tangible operational value. The environment is fast‑paced, innovative, and ideally suited to someone who thrives in high‑autonomy, high‑impact roles.

THE ROLE

As a Forward Deployed Senior Data Scientist, you will work directly with stakeholders to translate complex problems into deployable AI solutions. You’ll use a combination of proprietary and commercial datasets to uncover insights, build models, and deploy production‑ready systems that support strategic decision‑making.

This role blends hands‑on data science, AI engineering, rapid prototyping, and end‑to‑end delivery ideal for someone who is highly analytical, scrappy, and passionate about solving complex technical challenges with real‑world impact.

KEY RESPONSIBILITIES

• Build advanced AI/ML/DS models and systems tailored to high‑value operational challenges
• Develop new AI‑driven technology stacks designed for specific customer use cases
• Lead end‑to‑end delivery of AI projects, from scoping to production deployment
• Partner with research, engineering, and software teams to deliver robust AI products
• Define architectural standards and project roadmaps for scalable AI systems
• Create evaluation frameworks for AI deployments, including performance, reliability, and observability
• Mentor junior team members and help shape a culture of excellence and innovation
• Stay current with emerging techniques in AI, LLMs, and agentic systems; drive adoption of best practices
• Build agentic AI systems leveraging reasoning frameworks and orchestrators
• Act as a technical leader, translating high‑level objectives into actionable technical plans

EXPERIENCE REQUIRED

• Extensive experience designing, developing, and delivering AI/ML solutions end‑to‑end
• Strong software and data science fundamentals (Python essential)
• Experience building production‑grade AI systems and integrating them into customer environments
• Ability to collaborate across research, engineering, and product teams
• Experience working with large‑scale datasets and cloud‑based ML deployments
• Strong organisational skills and the ability to communicate complex ideas clearly
• Proven ability to operate independently in fast‑moving environments and manage competing priorities
• Passion for rapid prototyping, experimentation, and building high‑impact solutions

DESIRABLE EXPERIENCE

• Publications in top AI/ML/NLP or decision science venues
• Experience developing evaluation systems for LLMs or agentic models
• Experience with fine‑tuning, post‑training, or advanced model adaptation
• Familiarity with MLOps, monitoring, deployment, and large‑scale model management
• Track record of converting research prototypes into production systems

THE OFFER

• Competitive compensation (around $175,000 base depending on experience)
• Opportunity to work on deeply impactful, high‑scale AI challenges
• High degree of autonomy, technical ownership, and end‑to‑end influence
• A fast‑paced, innovation‑driven environment with strong technical peers
• Exposure to cutting‑edge modelling, LLMs, and agentic system development

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Principal Machine Learning Engineer – ML Platform

REMOTE – US

$180,000-$230,000 + Equity

We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.

This is a role for someone who enjoys shaping platform architecture while still being hands‑on.

What you’ll be doing

• Designing, training, and deploying high‑scale ML models used in live systems
• Building distributed training pipelines (PyTorch, Ray)
• Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
• Improving ML reliability, observability, and reproducibility
• Working closely with engineering, SRE, and product to shape platform direction
• Contributing to ML architecture standards, CI/CD, and testing frameworks

What they’re looking for

• Strong experience delivering production ML systems end‑to‑end
• Expertise with Python, PyTorch, distributed compute (Ray, Spark)
• Background in large‑scale data processing and MLOps tooling
• Ability to diagnose production issues and drive architectural improvements
• Experience with event‑driven ML and model deployment frameworks is a plus

Why this role

• High ownership of ML platform direction
• Complex, real‑world ML workloads at meaningful scale
• Opportunity to improve and evolve existing infrastructure
• Equity + strong compensation package

HOW TO APPLY

If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.

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Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

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Computer Vision Researcher

United States | $170,000 to $190,000 base salary plus bonus and benefits

This is a high-impact research role focused on applying advanced computer vision and deep learning techniques to real-world healthcare problems. You will work on complex visual data at scale, seeing your research move from experimentation into production and directly influencing quality of care.

The Company
They are a healthcare technology organisation using AI and data science to improve clinical decision-making and patient outcomes. Their platforms combine large-scale medical imaging data with rigorous, science-led research. Working closely with clinical and engineering teams, they focus on building AI systems that are both technically robust and clinically meaningful.

The Role

• Research, develop and deploy computer vision models used in production environments
• Work with large-scale medical imaging data including MRI, CT and X-ray
• Design and evaluate deep learning architectures for image classification, detection and representation learning
• Apply modern techniques such as convolutional neural networks, transformers and multimodal learning
• Collaborate with engineers, data scientists and clinical experts to shape the research roadmap
• Contribute to publications, conference submissions and internal innovation initiatives
• Support best practices in research and mentor other team members

Your Skills & Experience

• Strong applied research experience in computer vision and deep learning
• Hands-on expertise with CNNs, vision transformers, image segmentation and feature extraction
• Experience working with large image datasets and complex labelling challenges
• Proficiency in Python and PyTorch
• Ability to take research ideas from concept through evaluation and deployment
• Comfortable working in multidisciplinary teams and communicating technical work clearly
• Experience with medical imaging, multimodal models or large-scale training is beneficial

What They Offer

• Base salary between $170,000 and $190,000 plus discretionary bonus
• Comprehensive medical, dental and vision coverage
• Flexible time off and a strong focus on wellbeing
• Retirement plan and annual professional development stipend
• Clear progression opportunities into senior and research leadership roles

How to Apply
If you are excited by cutting-edge computer vision research with real-world impact, apply now to learn more about this opportunity.

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Senior AI Engineer

$175,000 Base Salary

Location: Pittsburgh, PA (Onsite)

THE COMPANY

This organisation operates within a highly secure, mission‑critical environment and is scaling its advanced AI engineering function. They focus on building intelligent, autonomous systems that streamline complex operational workflows and support high‑stakes decision‑making. The work is deeply technical, fast‑moving, and has genuine real‑world impact.

THE ROLE

You’ll be joining a small, high‑calibre engineering team focused on next‑generation agentic AI. The position involves building multi‑agent architectures, long‑horizon planning systems, and robust tools that enable agents to operate reliably at scale.

The ideal candidate loves solving ambiguous technical problems, has shipped LLM‑driven systems end‑to‑end, and thrives in a startup‑style environment.

KEY RESPONSIBILITIES

• Design and build advanced agent‑based systems with planning, routing, memory, and tool‑use capabilities
• Develop modular “skills” and components that integrate with internal services and data pipelines
• Own architectural standards, scalability, and system reliability
• Implement evaluation frameworks, behavioural telemetry, and regression testing
• Partner closely with product and implementation teams to address complex operational challenges

EXPERIENCE REQUIRED

• 5+ years building production ML or LLM-powered systems
• Strong Python engineering background
• Hands‑on experience with LLM integration, agent frameworks, and cloud infrastructure (AWS preferred)
• Proven ability to build systems end‑to‑end in high‑ambiguity, high‑impact environments
• Familiarity with Git, CI/CD, and modern engineering best practices

DESIRABLE EXPERIENCE

• Multi‑agent coordination, tool orchestration, or agentic system design
• Exposure to startup or rapid‑growth engineering teams
• Eligibility for work in secure environments
• Experience with front‑end frameworks (React/Next.js) is a bonus

THE OFFER

• $175,000 base salary
• High‑impact projects with substantial autonomy
• Chance to shape a new generation of agentic AI capabilities
• Work with exceptional technical peers in a deeply mission‑driven setting

To Apply for this Job Click Here

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Tech Lead Manager, Integration (Hybrid – Bay Area)

About the Opportunity

Our client is an innovative, AI-powered workforce management SaaS platform that is rewriting the rules of how modern enterprises plan, execute, and optimize their people operations. Backed by top-tier venture capital, they connect teams via intelligent resource planning and operational analytics.

They are seeking an exceptional Tech Lead Manager (TLM) to join and lead their Integration Infrastructure team. This is a 70/30 hybrid role designed for a senior engineer who loves staying close to the metal while expanding their people management footprint. You will spend roughly 70% of your time on hands-on architecture and high-scale coding, and 30% on mentoring, coaching, and team leadership.

Key Responsibilities

Technical Leadership & Execution (~70%)

• Architect & Build: Design, implement, and optimize scalable integration infrastructure, aiming for five-nines availability and real-time data synchronization.
• Hands-on Coding: Write clean, production-grade code, conduct thorough code reviews, and drive architectural decisions using TypeScript and NestJS.
• Data Pipelines: Own the technical vision for API connectors, webhook infrastructure, and distributed data processing sync pipelines.
• Best Practices: Champion rigorous code quality, comprehensive testing, robust observability, and performance monitoring across the stack.

People Management & Team Leadership (~30%)

• Mentor & Coach: Directly manage a small team of engineers, owning their career growth, regular 1:1s, performance reviews, and development plans.
• Build the Team: Drive the hiring process by defining engineering roles, interviewing candidates, and making critical hiring decisions.
• Culture & Process: Foster a high-trust, high-output team culture rooted in psychological safety and accountability.
• Cross-functional Collaboration: Partner with Product Management and Engineering leadership to groom backlogs, lead Agile ceremonies, and shape the technical roadmap.

Position Requirements

• Education: Bachelor’s degree in Computer Science is required.
• Engineering Experience: 8+ years of hands-on software engineering experience, specifically focused on scalable, secure, and resilient distributed systems.
• Leadership Experience: 2+ years of direct people management or formal tech-leading experience with direct reports.
• Domain Expertise: Proven track record building and scaling integration infrastructure (e.g., API connectors, data sync pipelines, ETL frameworks, or iPaaS-style systems) handling large-scale data.
• Core Tech Stack: Strong, production-level proficiency in TypeScript and NestJS is required.
• Data & Cloud: Experience integrating with external databases (PostgreSQL, MySQL, MongoDB, Snowflake) alongside a solid understanding of cloud architectures and containerization.
• Startup Mindset: Comfortable wearing multiple hats, moving fast, and building out systems in a rapid-growth startup environment.

Nice to Have (Bonus Skills)

• Experience with Python or Ruby.
• Experience working on HR Tech, B2B SaaS, or workforce management platforms.
• Familiarity with event-driven architectures and message brokers like Kafka or BullMQ.
• Experience designing developer-facing integration SDKs or AI/ML-powered data processing pipelines.

Why Join?

• High Impact & Ownership: You will work directly in the code-not just configure systems-and ship meaningful infrastructure that directly impacts enterprise customers.
• Best of Both Worlds: Keep your technical edge sharp with deep architectural ownership while building your management track record.
• Comprehensive Compensation: Offers a competitive base salary, meaningful equity upside, comprehensive health benefits, and a flexible, hybrid working culture

To Apply for this Job Click Here

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Lead ML Engineer (12-month FTC)

£80,000 – £90,000

Remote (UK Based Only)

This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.

THE COMPANY

They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.

THE ROLE

As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on.

Specifically, you can expect to be involved in the following:

• Leading the ML Engineering capability and contributing to the wider data and AI strategy.
• Designing, building, and productionising ML pipelines aligned to business goals.
• Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
• Implementing strong MLOps practices across model training, deployment, and monitoring.
• Working closely with Data Scientists to support, maintain, and improve models in production.
• Building APIs and data products that enable ML solutions to be consumed across the business.

SKILLS AND EXPERIENCE

The successful Lead ML Engineer will have the following skills and experience:

• Commercial experience delivering ML solutions end-to-end.
• Strong Python and SQL skills, with experience building data and ML pipelines.
• Hands-on experience with Databricks and Azure.
• Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
• Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
• Exeperience with stakeholders and translating business problems into technical solutions.
• Experience building or integrating APIs, such as with FastAPI, is beneficial.

BENEFITS

The successful Lead ML Engineer will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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