ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Director of Data Engineering
San Francisco
$300000 - $350000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Director of Data Engineering
Location: San Francisco or New York (Hybrid)
Compensation: $300-350K base + Equity
A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.
What You’ll Lead:
- Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
- Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
- Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
- Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
- Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.
What We’re Looking For
- 10+ years in data engineering, with 5+ years of engineering leadership
- Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
- Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
- Proven success supporting ML/AI platforms and structured/unstructured data needs
- Strong track record of partnering with legal and compliance to build IPO-ready systems
- A collaborative, technical leader who thrives in fast-paced, high-impact settings
Why This Role
- Lead the data engineering charter at one of the most innovative companies in enterprise AI
- Own systems that power product analytics, experimentation, personalization, and LLM workloads
- Work side-by-side with the C-suite and play a pivotal role in company-scale transformation
To Apply for this Job Click Here
Director of Data Engineering
New York
$300000 - $350000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Director of Data Engineering
Location: San Francisco or New York (Hybrid)
Compensation: $300-350K base + Equity
A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.
What You’ll Lead:
- Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
- Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
- Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
- Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
- Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.
What We’re Looking For
- 10+ years in data engineering, with 5+ years of engineering leadership
- Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
- Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
- Proven success supporting ML/AI platforms and structured/unstructured data needs
- Strong track record of partnering with legal and compliance to build IPO-ready systems
- A collaborative, technical leader who thrives in fast-paced, high-impact settings
Why This Role
- Lead the data engineering charter at one of the most innovative companies in enterprise AI
- Own systems that power product analytics, experimentation, personalization, and LLM workloads
- Work side-by-side with the C-suite and play a pivotal role in company-scale transformation
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Director of Data Science – Audit & Regulatory
New York
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Data Science – Audit & Regulatory
Location: 2-3 days/week hybrid in New York, New York
Compensation: $250,000 – $275,000 base salary + bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth financial services company at the intersection of AI, tax, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.
With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.
THE ROLE
As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.
Key Responsibilities:
-
Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.
-
Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.
-
Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.
-
Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.
-
Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.
-
Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.
-
Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.
-
Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.
-
Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.
-
Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.
YOUR SKILLS AND EXPERIENCE
Required Qualifications:
- 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
- Comfortable leading teams of 15+ data scientists and machine learning engineers
- Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
- Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
- Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
- Extensive tax, compliance and/or audit domain experience.
- Comfortable with regulatory compliance processes, risk management, data privacy.
- Familiarity with the SEC, FCA and FINRA preferred
- Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
- PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
- Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
- Senior-Level Management Compensation: $250,000 – $275,000 base + bonus + tangible equity.
- Hybrid Work Culture: 2-3 days/week in office in New York.
- Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
- Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
- Strategic Impact: Lead a core function at the center of the company’s long-term success.
HOW TO APPLY
Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.
KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance
To Apply for this Job Click Here
Director of Data Science – Tax & Compliance
New York
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Data Science – Tax & Compliance
Location: 2-3 days/week hybrid in New York, New York
Compensation: $300,000 – $350,000 base salary + performance bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth financial services company at the intersection of AI, legal tech, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.
With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives for tax, compliance and auditing projects. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.
THE ROLE
As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.
Key Responsibilities:
-
Define and align AI solutions with tax, audit, and compliance strategies to meet business goals and regulatory requirements.
-
Build and manage a high-performing team focused on AI-driven tax, audit, and compliance innovations.
-
Oversee end-to-end model development, ensuring AI solutions support regulatory adherence and operational efficiency.
-
Collaborate with product, legal, engineering, and finance teams to design scalable, compliant AI solutions.
-
Research and implement emerging LLM and NLP technologies to optimize tax reporting, auditing, and compliance processes.
-
Represent the company in industry discussions, advocating for ethical AI and best practices in financial services.
-
Ensure AI models are continuously monitored, optimized, and updated to meet changing regulations and business needs.
-
Implement MLOps frameworks to ensure secure, transparent, and auditable AI deployments in financial operations.
-
Champion data privacy, security, and compliance within AI models to adhere to regulations like GDPR and AML/KYC.
-
Drive the development of AI tools that automate tax, audit, and compliance workflows, enhancing accuracy and efficiency.
YOUR SKILLS AND EXPERIENCE
Required Qualifications:
- 10+ years of experience in machine learning and data science, with at least 4+ years in a leadership or managerial role.
- Comfortable leading teams of 15+ data scientists and machine learning engineers
- Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
- Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
- Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
- Extensive tax, compliance and/or audit domain experience.
- Comfortable with regulatory compliance processes, risk management, data privacy.
- Familiarity with the SEC, FCA and FINRA preferred
- Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
- PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
- Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
- Senior-Level Management Compensation: $300,000 – $350,000 base + bonus + tangible equity.
- Hybrid Work Culture: 2-3 days/week in office in New York.
- Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
- Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
- Strategic Impact: Lead a core function at the center of the company’s long-term success.
HOW TO APPLY
Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.
KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI | Tax | Accounting | Audit | Auditing | Compliance | Regulatory | Risk Management | Data Privacy | Governance
To Apply for this Job Click Here
Principal AI Scientist
New York
$350000 - $400000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal AI Scientist – AdTech
New York, New York – 4 days onsite
$350,000 – $400,000 + bonus + equity
THE COMPANY
Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
RESPONSIBILITIES
-
Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.
-
Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
-
Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
-
Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.
-
Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
-
Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
-
Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.
-
Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
-
Experience scaling out MLE teams as tech lead or manager preferred.
- Commercial experience combination of big tech and scaling startups a plus.
BENEFITS
The compensation package contains a base salary, a bonus, and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
To Apply for this Job Click Here
Chief AI Engineer
New York
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Chief AI Engineer – AdTech
New York, New York – 4 days onsite
$300,000 – $350,000 + bonus + equity
THE COMPANY
Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
RESPONSIBILITIES
-
Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.
-
Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.
-
Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.
-
Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.
-
Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.
SKILLS AND EXPERIENCE
-
Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.
-
Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.
- Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.
-
Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.
-
Experience scaling out MLE teams as tech lead or manager preferred.
- Commercial experience combination of big tech and scaling startups a plus.
BENEFITS
The compensation package contains a base salary, a bonus, and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
To Apply for this Job Click Here
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Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
