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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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Principal Data Scientist
Remote or Hybrid, United States.
Competitive salary plus bonus and benefits

This is a senior-level opportunity to shape the direction of data science and artificial intelligence within a high-impact, product-focused environment. You will operate as a technical leader, driving complex initiatives from concept through delivery while influencing how advanced analytics and AI capabilities are embedded into end-user experiences.

The Company
They are an established organisation investing heavily in data science and AI to enhance their products and deliver meaningful outcomes at scale. Operating at the intersection of technology, data, and user experience, they bring together cross-functional teams to solve complex problems.

The Role
* Lead the design and delivery of high-impact data science and AI solutions aligned to strategic business objectives
* Provide technical leadership across multiple workstreams, ensuring projects are well-scoped, prioritised, and delivered effectively
* Collaborate with product, engineering, and business stakeholders to define problems and translate them into scalable data solutions
* Develop and implement production-grade machine learning and AI systems, including generative AI capabilities
* Communicate insights, recommendations, and technical concepts clearly to a range of stakeholders

Your Skills & Experience
* Strong expertise in data science, machine learning, or artificial intelligence, demonstrated through academic or industry work
* Proven track record of building and deploying production-scale data and AI systems, including experience with generative AI
* Ability to independently define problems, design solutions, and deliver results end-to-end
* Experience providing technical leadership and guiding cross-functional teams
* Strong communication skills, with the ability to influence both technical and non-technical audiences

What They Offer
* Competitive salary with bonus and comprehensive benefits
* Opportunity to lead strategic AI and data initiatives with real business impact
* Collaborative, cross-functional working environment
* Flexibility through remote or hybrid working
* Clear progression opportunities within a growing data and AI function

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AI Scientist (Genomics Foundation Models)
Cambridge, MA.
$200,000 to $230,000 base salary plus bonus and equity

This is a unique opportunity to drive cutting-edge research at the intersection of AI, genomics, and healthcare. You will play a central role in shaping the research direction of an early-stage, high-growth team building foundational models to transform how complex diseases are detected and monitored. With strong backing and access to high-quality multimodal data, this role offers both scientific depth and real-world impact.

The Company
They are an early-stage, well-funded organisation applying advanced machine learning to healthcare, with a focus on improving early detection and long-term patient outcomes. Their approach combines genomic, clinical, and longitudinal data to develop next-generation predictive systems.

The Role
* Define and drive research strategy across AI, genomics, and oncology to maintain a state-of-the-art approach
* Design, train, and evaluate machine learning models for biomarker detection, risk stratification, and longitudinal patient monitoring
* Develop and advance foundation models and reinforcement learning systems for healthcare applications
* Lead scientific publications, conference contributions, and technical knowledge sharing
* Partner with engineering teams to translate research into production-grade systems used in clinical workflows
* Build rigorous evaluation frameworks and validation methodologies to meet scientific and clinical standards
* Collaborate with cross-functional stakeholders including clinicians, researchers, and product teams

Your Skills & Experience
* Strong academic background in machine learning, computational biology, or a related field
* Proven track record of research contributions in applied AI, including large-scale or foundation models
* Hands-on experience developing and evaluating machine learning models using Python and frameworks such as PyTorch, JAX, or TensorFlow
* Experience working with modern ML infrastructure, including GPU or TPU environments and scalable pipelines
* Strong understanding of experimental design, evaluation, and statistical rigor
* Ability to communicate complex technical concepts to both scientific and non-technical audiences

What They Offer
* Base salary between $200,000 and $230,000 with additional bonus and equity
* Opportunity to shape the research direction of an early-stage AI organisation
* Access to high-quality datasets and interdisciplinary collaboration
* Strong career progression as the team scales
* Collaborative, high-performance culture focused on scientific excellence and ownership

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AI Engineer (Genomics / Foundation Models)
Cambridge, MA.
$200,000 to $230,000 base salary plus bonus and equity

This is a rare opportunity to join an early-stage AI team working at the intersection of healthcare, genomics, and machine learning. You will help build production systems powered by foundation models and multimodal healthcare data, with the goal of transforming how complex diseases are detected and monitored. The role offers significant ownership and the chance to shape technical direction from the ground up.

The Company

They are an early-stage, well-funded organisation applying advanced machine learning to healthcare challenges with a strong focus on improving early detection and long-term outcomes. Their approach combines multiple data sources, including genomic and longitudinal patient data, to build next-generation predictive systems.

The Role

* Design, build, and deploy machine learning systems for complex, real-world healthcare applications
* Develop and productionise foundation models and multimodal learning systems operating on genomic and healthcare datasets
* Build scalable ML pipelines covering data ingestion, feature engineering, training, and model serving on cloud platforms
* Develop reinforcement learning and predictive models for risk stratification and longitudinal monitoring
* Translate cutting-edge research into production-grade systems used in clinical workflows
* Implement robust evaluation, testing, and monitoring frameworks to ensure system reliability and performance
* Collaborate with cross-functional teams including clinicians, product, and engineering stakeholders

Your Skills & Experience

* Strong commercial experience building and deploying machine learning models in production environments
* Proficiency in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow
* Experience developing ML infrastructure and pipelines using cloud platforms such as AWS or GCP
* Solid software engineering fundamentals including testing, CI CD, and version control
* Experience working with complex or multimodal datasets
* Strong communication skills with the ability to work across technical and non-technical teams

What They Offer

* Base salary between $200,000 and $230,000 with additional bonus and equity
* Meaningful ownership and influence in an early-stage, high-growth environment
* Opportunity to work on cutting-edge AI within healthcare and genomics
* Collaborative, in-person working model in a leading innovation hub
* Access to high-quality datasets and interdisciplinary expertise
* Clear career progression as the organisation scales rapidly

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Senior Machine Learning Engineer / ML Scientist
Remote, United States
$160,000 to $210,000 base salary plus bonus and equity

This is an opportunity to join a high-impact machine learning team where your work directly influences real-time decisioning at scale. You will operate with a high level of ownership, designing and deploying models that solve complex problems in a production environment. The role blends scientific experimentation with strong engineering execution, offering the chance to shape both model performance and the systems that support it.

The Company

They are a fast-growing technology business operating at the intersection of machine learning and financial risk within e-commerce. Their platform enables large-scale, real-time decision-making across global transactions, helping customers optimise outcomes while reducing risk exposure.

The Role

* Design, build, and deploy machine learning models that operate in high-scale, real-time environments
* Own the full lifecycle of ML projects from experimentation through to production deployment and monitoring
* Develop advanced modelling approaches, including ensemble methods and performance optimisation techniques
* Build and improve offline evaluation frameworks to ensure robust and reliable model performance
* Work with large-scale distributed systems and datasets using tools such as Python, SQL, and Spark
* Collaborate cross-functionally with engineering, product, and risk teams to translate business challenges into ML solutions
* Contribute to a culture of experimentation, innovation, and continuous improvement within the ML function

Your Skills & Experience

* Strong commercial experience delivering machine learning solutions in production environments
* Deep understanding of machine learning theory, statistical modelling, and evaluation methodologies
* Proven ability to design and run experiments independently, from problem definition through to insight generation
* Experience working with large-scale distributed data processing systems, particularly Spark
* Strong programming skills in Python and SQL
* Experience taking models from research through to scalable deployment
* Academic background in a quantitative field such as Computer Science, Statistics, or similar is valued
* Experience in fraud, payments, or e-commerce is beneficial but not essential

What They Offer

* Competitive base salary between $160,000 and $210,000 depending on level and location
* Annual bonus and equity package
* Unlimited paid time off
* Retirement plan with employer contribution
* Comprehensive healthcare, dental, and vision coverage
* Paid parental leave and wellbeing support
* Learning and development budget
* Flexible remote working with minimal in-person requirements
* Clear progression opportunities within a growing machine learning organisation

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Senior Director – Applied AI Research (LLMs / NLP for Enterprise Solutions)
Company: Global AI & Compliance Software Leader
Total Comp up to $570K

Mission:

We’re partnering with a global leader in AI-driven SaaS solutions to find a Senior Director of Applied Research. This is a mission-critical leadership role overseeing the AI/ML research strategy for complex enterprise applications in the corporate Tax & Trade domain.

You will be responsible for driving innovation at scale: leading teams, shaping strategy, and owning delivery of AI features powered by NLP, LLMs, and Intelligent Agent frameworks. You’ll work cross-functionally to transform AI concepts into real-world features integrated into enterprise platforms used by Fortune 500 clients.

This role combines hands-on technical leadership with strategic product influence, and is ideal for someone with deep experience in turning advanced research into commercial impact, especially in regulated, content-rich environments.

Key Missions:

• Lead a large team of scientists and engineers through the full ML lifecycle
• Build scalable AI/NLP features for intelligent assistants and classification tools
• Champion innovation using LLMs, RAG, and AI agent frameworks
• Align with product and executive stakeholders to define strategic priorities
• Represent the AI vision internally and externally (including client conversations)
• Create a high-performance team culture rooted in curiosity and delivery

Ideal Background:

• 10+ years in AI/NLP system development; 5+ years in leadership roles
• Enterprise experience with AWS-based ML systems in production
• Deep understanding of LLM integration and agentic architecture design
• Excellent communicator and stakeholder manager
• Strong academic grounding (PhD or similar) and bonus: research publications

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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 Machine Learning
NYC

An award-winning AI company at the forefront of real-time programmatic technology, delivering impactful, data-driven solutions for global brands.

Mission:

We’re looking for a Senior Machine Learning Engineering Leader to own the ML infrastructure and guide the technical strategy. You will lead a team of engineers, ensure scalable, fault-tolerant ML pipelines, and collaborate with product and engineering teams to align ML systems with business goals.

Desired Profile:

• Minimum 8 years in ML engineering, with at least 3 years in leadership roles.

• Hands-on experience with cloud platforms (AWS, Databricks), MLOps tools (MLflow, Prometheus), and CI/CD pipelines.

• Proficiency with deploying low-latency ML solutions and advanced architectures, including LLMs, vector stores, and Rust microservices.

• Strong stakeholder communication and ability to mentor and grow engineering talent.

• Background in advertising or performance marketing a bonus.

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Director of Applied Research – AI & NLP Leadership
Global SaaS & Data Intelligence Leader
Up to $570K

Mission:

We’re hiring a Director of Applied Research to spearhead next-generation AI innovation in the Tax & Trade compliance space for one of the world’s leading data & software providers. This position sits at the intersection of AI strategy, people leadership, and real-world product delivery.

In this role, you will lead a team of 20+ Applied Scientists and Research Engineers, driving the development of cutting-edge NLP and LLM-based features embedded in AI-powered assistants and classification systems used by global enterprises. You’ll shape and deliver the roadmap for intelligent automation, collaborating with cross-functional leaders in Product, Engineering, UX, Editorial and Marketing.

This is a high-impact leadership role with strategic influence across product lines, requiring both technical depth and organizational maturity. You’ll ensure scientific excellence, drive scalable production implementation (AWS), and champion a culture of innovation, collaboration and delivery.

Key Responsibilities:

• Lead, grow, and mentor a high-performing applied research team
• Own the end-to-end delivery of advanced ML/NLP features in production systems
• Drive the AI vision for enterprise-grade Tax & Trade compliance products
• Collaborate with senior product, technology, and business stakeholders
• Translate state-of-the-art research into scalable, customer-centric solutions
• Oversee a portfolio of initiatives, managing scope, budget, and staffing

Profile Sought:

• 10+ years in applied AI/ML/NLP roles (commercial / productized environments)
• 5-8 years of management experience (ideally in matrixed or global organizations)
• Proven track record deploying ML/NLP systems in production (preferably on AWS)
• Experience with LLMs, RAG, agentic frameworks, and AI assistant technologies
• Executive-level communication and cross-functional leadership
• PhD or equivalent expertise in a relevant field (AI, ML, NLP, IR)
• Bonus: Publications in top-tier conferences (ACL, NeurIPS, EMNLP, etc.)

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Senior Data Engineer
Location: New Jersey
Remote: Hybrid (2 days on-site per week)
Salary: $120,000 – $140,000 base + 10% target bonus (flexible for outstanding profiles)
Visa: No sponsorship

Company

The organization is modernizing a fragmented legacy environment into a cloud-native data platform built on Databricks and Azure. With strong revenue growth and national expansion underway, data engineering has become a strategic pillar to support pricing, risk, analytics, and operational decision-making across the business.

The Role

• Design, build, and optimize end-to-end data pipelines on Databricks using Python, PySpark, and SQL.
• Implement and evolve Medallion architecture standards (Bronze, Silver, Gold) across multiple data domains.
• Develop ingestion frameworks for batch and streaming data, including structured and semi-structured sources.
• Partner with actuarial, analytics, underwriting, claims, and marketing teams to deliver trusted, production-grade data.
• Contribute to data governance, observability, cost optimization, and CI/CD best practices within Databricks.

Desired Profile

• 5-7+ years of experience in Data Engineering with strong, hands-on Databricks expertise.
• Proven ability to build, explain, and own production-grade pipelines from ingestion to consumption.
• Deep understanding of Medallion architecture and schema evolution strategies.
• Strong Python and PySpark coding skills, with solid SQL performance tuning experience.
• Experience working with cloud data lakes (Azure preferred) and modern file formats (Delta, Parquet, JSON, XML).

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Senior ML Engineer
Full Remote
$180K-$200K base

A fast-growing AI product company operating in real-time decisioning, large-scale machine learning, and data-driven optimization. The business builds advanced AI systems used by major brands to automate and optimize high-impact decisions at massive scale. Strong engineering culture, modern ML infrastructure, and real product ownership in a highly technical environment.

Mission

• Architect, train, and maintain distributed machine learning systems powering core AI products
• Build and optimize neural network models for large-scale prediction, classification, and optimization
• Develop feature engineering pipelines on big data using Spark and modern data platforms
• Own the full ML lifecycle: training, tuning, evaluation, batch inference, and observability
• Design and operate production-grade ML pipelines with a focus on reliability, automation, and reproducibility

Profile:

• 5-10 years of industry experience building and deploying ML systems at scale
• Hands-on experience with distributed training and large-scale data processing (e.g., Ray, Spark, multi-GPU)
• Deep understanding of MLOps best practices: model versioning, experiment tracking, monitoring, reproducibility
• Familiarity with cloud platforms (AWS or equivalent), modern data stacks, and CI/CD pipelines
• Bonus: experience in adtech, optimization systems, reinforcement learning, LLMs, or large-scale embeddings

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Principal Data Scientist
Full Remote (From the US)
Salary up to $210K base + bonus

A large, global technology-led organisation operating in a mission-driven, data-intensive domain. The business designs and scales complex digital platforms used by millions of end users worldwide, combining advanced data science, AI, and product engineering to drive measurable real-world impact.

Mission

• Act as technical lead for high-impact Data Science and AI initiatives across the organisation
• Define architectures, methodologies, and best practices for complex DS/AI and GenAI problem spaces
• Lead the design and delivery of production-grade AI systems, with particular focus on LLMs and generative AI
• Drive strategic initiatives by aligning DS/AI priorities with business and product objectives
• Mentor senior and junior data scientists, setting technical direction and raising engineering standards
• Own multiple projects simultaneously: scoping, prioritisation, delivery timelines, and stakeholder alignment

Profile

• PhD or equivalent in Data Science, Applied Mathematics, Statistics, or related field
• Senior-level experience: typically 6-10+ years in DS/AI roles, including leadership at Principal / Staff level
• Demonstrated technical leadership: defining strategy, owning complex initiatives, and mentoring teams
• Deep hands-on experience with production-scale DS/AI systems, with a strong recent focus on Generative AI / LLMs
• Expertise in LLM architectures, orchestration frameworks, and AI governance (guarding, scaling, monitoring, reliability)
• Strong understanding of MLOps / LLMOps in enterprise environments

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