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.
Senior Insight Analyst
Nottingham
£70000 - £75000
+ Digital Analytics
PermanentNottingham, Nottinghamshire
To Apply for this Job Click Here
Senior Insight Analyst
Location: Remote first (1x per month Nottingham)
Salary: Up to £75,000 (depending on experience)
The Company
A global consumer platform with a fast-growing digital presence and millions of active users worldwide. The business partners with hundreds of leading global brands across retail, technology, food delivery, and travel, offering exclusive digital experiences and offers to a highly engaged customer base. As part of ongoing growth across data and analytics, the Senior Insight Analyst will join a growing analytics function, working closely with commercial teams, data engineering, and data science to deliver actionable insights across customer behaviour, marketing performance, and strategic growth opportunities.
The Role
This is a hands-on analytical role combining customer analytics, data science, and strategic insight. You’ll take ownership across a blend of traditional customer analytics and more advanced statistical modelling projects, supporting fast feedback loops across marketing performance, churn, forecasting, and member engagement. The role offers scope to grow into either a strong individual contributor role or people leadership position as the function scales.
Key Responsibilities
-
Analyse customer behaviour across the platform to support commercial growth and marketing optimisation.
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Deliver pre- and post-campaign analysis, segmentation work, and ongoing performance tracking.
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Build and deploy statistical models such as linear regression, clustering, forecasting, and advanced A/B tests.
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Work closely with ML Engineers, commercial teams, and senior stakeholders to translate insight into business action.
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Support marketing measurement, frequency analysis, churn reduction and commercial opportunity assessment.
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Collaborate cross-functionally with data engineering, product, and commercial teams on high-impact projects.
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Present clear, actionable insight to both technical and non-technical stakeholders across the business.
Skills & Experience
Essential:
-
Strong experience in customer analytics, data science, or advanced analytical modelling.
-
Hands-on experience using Python for statistical analysis and modelling.
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Advanced SQL skills for data extraction and manipulation.
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Experience applying statistical methods such as linear regression, KMM, forecasting models, and experimentation.
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Strong communication skills with the ability to simplify complex analysis for business audiences.
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Degree in Mathematics, Statistics, Economics or related quantitative field.
Desirable:
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Experience working with SageMaker or similar cloud-based ML platforms.
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Prior experience in subscription or membership-based consumer businesses.
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Exposure to marketing mix modelling or marketing analytics.
Interview Process
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1st Stage: Introductory screen (background, motivation & fit).
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2nd Stage: Take-home technical task.
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3rd Stage: Technical interview.
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Final Stage: Panel presentation & stakeholder Q&A.
How to Apply
Send your CV to Mohammed Buhariwala at Harnham using the Apply link on this page or connect directly to find out more.
Keywords
Insight Analyst, Customer Analytics, Data Science, SQL, Python, Forecasting, Linear Regression, Marketing Analytics, Churn, Segmentation, Experimentation, A/B Testing, Membership, Subscription, Data Modelling, Hybrid, Remote.
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 Applied AI
USA - Fully Remote
$200000 - $215000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Applied AI – GenAI, NLP, and Intelligent Automation
Location: Remote – US Based
Compensation: $200,000 – $215,000 base + bonus
ABOUT THE COMPANY
We’re partnered with a fast-scaling consumer tech business undergoing a digital transformation, with executive-level buy-in for AI initiatives. The company is focused on deploying cutting-edge Generative AI to transform internal operations, client engagement, and revenue-driving functions.
They’re now hiring a Director of Applied AI to lead strategy and delivery across intelligent agents, GenAI search assistants, document AI, and productivity tools. This is a rare opportunity for a hands-on AI leader to shape and scale a newly built function with real-world business impact.
THE ROLE
Reporting into the VP of Data & AI, you’ll own the roadmap, vendor strategy, and technical execution for applied AI across the enterprise. You’ll manage a small but growing team and be responsible for building the playbook for responsible, scalable AI implementation.
Key Responsibilities:
- Define and lead the Applied AI strategy across sales, customer support, employee productivity, and analytics.
- Deliver solutions including:
- GenAI-powered digital and voice agents
- RAG + LLM-based internal knowledge assistants
- OCR and intelligent document processing
- AI-powered insights and summarization
- Evaluate and integrate AI vendor solutions, prioritizing “buy over build.”
- Partner cross-functionally with Product, Engineering, and Operations to translate business needs into scalable AI capabilities.
- Oversee prototyping, technical evaluation, and deployment of third-party AI tools.
- Build and maintain execution roadmaps, business alignment, and governance standards.
- Stay current on GenAI trends, vendor landscape, and tools to evolve strategy over time.
YOUR SKILLS AND EXPERIENCE
- 6-10+ years in Data Science / ML / Applied AI, with 2+ years in a leadership role.
- Strong hands-on experience with Python, GenAI APIs, LLM frameworks, and vector databases.
- Proven delivery of production-grade digital or voice AI agents.
- Deep understanding of prompt engineering, RAG pipelines, and LLM deployment.
- Familiarity with Salesforce workflows, voice AI for telephony platforms, and enterprise SaaS procurement.
- Strong business judgment and stakeholder communication skills.
- Prior experience working in regulated or high-volume environments (e.g., financial services, healthcare, B2C platforms).
- Exposure to enterprise ML platforms (e.g., Snowflake, DataRobot) is a plus.
THE BENEFITS
- Executive-Level Compensation: $200,000-$215,000 base + bonus
- Remote-First Environment
- Growth Opportunity: Lead and grow a foundational AI function with direct business impact
- Full Benefits Package: Healthcare, 401(k) (9%), PTO, and additional wellness perks
HOW TO APPLY
Submit your resume to Luc Simpson-Kent via the Apply link. We’re excited to connect with hands-on AI leaders ready to own and scale GenAI innovation across a dynamic enterprise.
To Apply for this Job Click Here
Director of Machine Learning – NLP & LLMs
New York
$300000 - $325000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Machine Learning – NLP & LLMs
Location: Fully Remote
Compensation: $300,000 – $325,000 base salary + performance bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, 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 Machine Learning to lead strategy, research, and engineering execution across NLP and LLM initiatives. 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 Machine Learning, 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:
-
Strategic Leadership: Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs.
-
Team Building & Management: Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment.
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Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.
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Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.
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Innovation: Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge.
-
Thought Leadership: Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI.
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Operational Excellence: Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices.
YOUR SKILLS AND EXPERIENCE
Required Qualifications:
-
10+ years of experience in machine learning and software engineering, with at least 4+ years in a leadership or managerial role.
-
Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
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Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
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Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
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Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
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Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD preferred.
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Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
-
Executive-Level Compensation: $300,000 – $325,000 base + bonus + equity potential.
-
Remote-First Culture: Work from anywhere in the United States or Canada.
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Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
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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 | MLOps | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI
To Apply for this Job Click Here
Staff Machine Learning Engineer – NLP & LLMs
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Machine Learning Engineer – NLP & LLMs
Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits
ABOUT THE COMPANY
We are partnered with a market leader in the legal and financial services industry, driving innovation through AI. This company is revolutionizing how professionals interact with data by integrating cutting-edge NLP and LLM technologies. As their platform scales, they are seeking a highly skilled Machine Learning Engineer to take the lead in developing, deploying, and optimizing advanced AI models that directly impact high-value, high-regulation environments.
This is an opportunity to build mission-critical systems from the ground up and work alongside some of the top minds in AI and law.
THE ROLE
As a Staff Machine Learning Engineer, you will work closely with researchers and the C-suite to design and implement robust machine learning infrastructure and end-to-end NLP/LLM pipelines. You will bridge the gap between experimentation and scalable deployment, contributing to the full lifecycle of AI products.
Your Responsibilities Will Include:
-
Model Deployment & Scaling: Engineer and deploy large-scale NLP and LLM models for production environments.
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Infrastructure & Tooling: Build and maintain data pipelines, training workflows, and inference systems optimized for low-latency and high-accuracy.
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End-to-End Development: Take PoCs from research stage to production-grade systems, focusing on performance, reliability, and maintainability.
-
Optimization: Improve existing model architectures and fine-tune LLMs using retrieval-augmented generation (RAG), prompt tuning, quantization, and efficient inference techniques.
-
Collaboration: Partner with Applied Scientists, Legal SMEs, and Product Leaders to align technical solutions with business and user needs.
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Code Quality: Write clean, scalable, and well-documented code using industry best practices.
YOUR SKILLS AND EXPERIENCE
We are looking for an experienced and versatile Staff Machine Learning Engineer with the following qualifications:
-
5+ years of experience deploying NLP and ML models in production environments.
-
Strong software engineering background in Python, with experience using frameworks like TensorFlow, PyTorch, spaCy, Hugging Face Transformers, and more.
-
Demonstrated ability to scale models and build distributed training/inference systems.
-
Experience working with large datasets and knowledge of data pipelines, MLOps tools (e.g., MLflow, Kubeflow, Airflow), and cloud infrastructure (AWS, GCP, or Azure).
-
Deep understanding of NLP concepts and LLM architectures (BERT, GPT, T5, etc.).
-
Comfortable working cross-functionally with researchers, product teams, and senior leadership.
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (PhD a plus, but not required).
-
Bonus: Contributions to open-source NLP projects or publications in applied ML conferences (NeurIPS, ACL, EMNLP, etc.)
BENEFITS
-
Top-Tier Compensation: Base salary of $250,000 – $275,000 + annual bonus.
-
Fully Remote: Work from anywhere in the United States.
-
Ownership: End-to-end responsibility for the models and systems you help build.
-
Health & Retirement: Comprehensive medical, dental, vision, and 401(k) plans.
-
Research-Driven Culture: Collaborate with world-class researchers and engineers solving impactful real-world problems.
HOW TO APPLY
Interested applicants should submit their resume to Tim Jonas via the Apply link on this page. We look forward to seeing how your engineering skills can help shape the future of legal and financial AI systems.
KEYWORDS:
Machine Learning | ML Engineering | NLP | LLMs | Deep Learning | Large Language Models | MLOps | Python | PyTorch | Hugging Face | TensorFlow | Cloud Infrastructure | Distributed Systems | RAG | Prompt Engineering | AI Platforms | Legal Tech | Financial Services | Applied ML | Model Deployment
To Apply for this Job Click Here
Principal Applied Scientist – NLP
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Principal Applied Scientist – NLP
Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits
About the Company:
We are partnering with a leading financial services company in the legal space, driving innovation through AI. This company is at the forefront of transforming the way AI interacts with financial and legal professionals, creating smarter, faster, and more cost-effective models. As they scale their product, they are looking for leading NLP researchers to focus on novel NLP development. This is an exciting opportunity for someone to have a significant impact on the future of AI in a highly-regulated industry.
THE ROLE
As a Principal Applied Scientist, you will play a crucial role in developing novel machine learning and LLM models tailored for the legal and financial services domain. Your work will directly shape the company’s AI capabilities, and you will report directly to the C-suite.
- Innovate and Build: Develop novel machine learning and LLM models from the ground up, tailored for the legal industry and open-source environments.
- Technical Leadership: Collaborate closely with C-suite executives to define and execute technical direction. You will be integral to decision-making and strategy.
- End-to-End Ownership: From research to production, you will lead the development of Proof-of-Concepts (PoCs) and build out platforms from scratch (0-1 development).
- Model Optimization: Lead efforts to optimize prompts, models, and inference strategies, ensuring continuous improvement and efficiency.
- Thought Leadership: Act as a thought leader in the domain of LLMs, both within the company and the broader AI community. Educate and guide non-technical stakeholders.
- Research Contribution: Own novel models and applications leading to patents and publications in top NLP journals.
YOUR SKILLS AND EXPERIENCE
We are looking for an experienced Principal Applied Scientist with the following qualifications:
- 7+ years of commercial experience in NLP, with a focus on building production-ready language-based models.
- Proven experience in building NLP platforms and working with large datasets.
- Deep expertise in Python (TensorFlow, PyTorch, NLTK, spaCy, etc.) and developing production-grade natural language / information retrieval models.
- A track record of taking models from concept to production, with hands-on experience in research and commercial deployment.
- Familiarity with advanced machine learning techniques for natural language models (NLP / LLMs).
- Comfortable working in fast-paced environments, wearing multiple hats and collaborating with both technical and non-technical teams.
- A PhD in Computational Linguistics, Computer Science, Statistics, or a related field in natural language is required.
- Publication history in top NLP journals: NeurIPS, ICLR, ACL, EMNLP, and NAACL
THE BENEFITS
- Competitive Salary: Base salary of $250,000 – $275,000.
- Novel Research: Ownership of new applications you build
- Comprehensive Benefits: Full range of health benefits, retirement plans, and more.
HOW TO APPLY
Interested candidates should submit their resume to Tim Jonas via the Apply link on this page. We are eager to hear how you can contribute to the future of AI in legal and financial services.
KEYWORDS:
Machine Learning | Natural Language Processing | Natural Language Generation | Natural Language Understanding | NLG | NLU | LLM | Large Language Models | Artificial Intelligence | Generative AI | Research | Python | TensorFlow | PyTorch | NLP | Open-Source | Legal Tech | Financial Services | AI Platforms | Thought Leader | NLP Strategy
To Apply for this Job Click Here
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Client and
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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.
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 – 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
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
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
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 – 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 – 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.
Candidate /
Market Research Analyst
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.
