ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Data Scientist – Forward Deployed
$160000 - $175000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across our organization, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.
Scope of Responsibilities
*Develop AI/ML/DS systems to address defense problems.
*Develop new AI-based stack of technologies for particular customer needs.
*Development of evaluation solutions for AI deployments.
*Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.
*Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.
*Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.
*Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
*Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
*Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Qualifications
*U.S. Citizenship is required
*Oversee the full lifecycle of AI projects within our AI ecosystem.
*Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries
*Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
*Define robust software architecture for AI systems and project roadmaps.
*Translate high-level AI system requirements into actionable technical plans.
*Deliver production-ready AI solutions integrated with clients data platforms and workflows.
*Drive the implementation of scalable AI/ML platforms.
*Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
*Demonstrate strong National Security domain knowledge.
Desired Skills
*A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas
*Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
*Experience in LLM posttraining or fine tuning
*Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
*Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
To Apply for this Job Click Here
Principal ML Engineer
New York
$185000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
You’ll architect and deploy production-grade Generative AI and agentic systems, shape engineering standards, and play a key role in driving AI adoption across the organization.
What You’ll Do
- Build and scale LLM-powered applications (GPT-class + open-source models)
- Design RAG pipelines, prompt frameworks, and context management systems
- Develop agentic AI systems (multi-agent orchestration, tool use, memory, planning)
- Architect high-performance backend APIs (FastAPI, gRPC) for AI services
- Design and operate cloud-native ML infrastructure (AWS, GCP, or Azure)
- Implement MLOps / LLMOps pipelines (MLflow, SageMaker, Kubeflow, etc.)
- Drive best practices in Python engineering, testing, and CI/CD
- Partner with leadership on AI strategy, tooling, and platform direction
What You Bring
- 10+ years of experience in ML Engineering / Data / Backend systems
- Deep expertise in Python and scalable system design
- Hands-on experience with LLMs, RAG, and modern AI frameworks
- Strong background in cloud infrastructure + distributed systems
- Experience building production-grade APIs and ML pipelines
- Proven ability to mentor engineers and influence technical direction
Nice to Have
- Experience with agentic frameworks (LangGraph, AutoGen, CrewAI)
- Exposure to vector databases (Pinecone, Weaviate, pgvector)
- Background in regulated environments or AI governance
- Cloud certifications (AWS / GCP / Azure) or advanced degree
Why Join Us?
- Work on cutting-edge AI systems with real business impact
- Influence platform strategy and architecture at scale
- Collaborate with a high-caliber AI/ML team
- Own initiatives from concept → production
To Apply for this Job Click Here
Lead Data Scientist
Pittsburgh
$175000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead Data Scientist
$175,000 to $200,000
Location: Pittsburgh, PA (Onsite)
THE ORGANISATION
A quietly scaling technology group is investing heavily in next‑generation AI capabilities. Their work centres on high‑complexity data environments, advanced analytics, and intelligent systems that surface insight, support decision‑making, and power exploratory research. The culture values depth of thinking, technical rigour, and leaders who thrive in ambiguous, evolving problem spaces.
THE OPPORTUNITY
This position will lead the development of sophisticated search, retrieval, and reasoning systems built on large‑scale datasets and advanced modelling techniques. You will act as the senior technical authority architecting platforms, shaping long‑term strategy, and mentoring a high‑calibre team across both Data Science and AI Engineering.
The role blends deep research, hands‑on modelling, system design, and leadership. Expect to define the roadmap for how information is indexed, retrieved, ranked, explored, and transformed into actionable outcomes. This is a position for someone who enjoys building from first principles, driving technical direction, and delivering complex AI capabilities end‑to‑end.
WHAT YOU’LL LEAD
- Designing and building advanced retrieval, ranking, and AI‑driven research systems
- Setting the technical strategy and multi‑year roadmap for search, knowledge exploration, and agentic reasoning capabilities
- Architecting large‑scale pipelines combining embeddings, traditional search methods, knowledge graphs, and hybrid retrieval techniques
- Developing conversational exploration tools, structured reasoning systems, and intelligent query‑understanding models
- Acting as the principal technical contributor on high‑impact projects, while also coaching and elevating senior engineers and scientists
- Collaborating with product and engineering to translate open‑ended problem statements into clear, scalable technical plans
- Establishing best practices across experimentation, modelling, evaluation, and model lifecycle management
- Bringing cutting‑edge research (LLMs, retrieval, agentic behaviours, multimodal embeddings, etc.) into production environments
- Leading workshops, technical discussions, and internal knowledge‑building initiatives
WHAT YOU BRING
- 7+ years’ experience in applied Data Science or AI research within a production‑focused environment
- Background in search/retrieval, ranking systems, embeddings, or related areas
- Expertise in building and scaling RAG pipelines, hybrid retrieval architectures, or advanced indexing strategies
- Strong ability to design and evaluate multimodal embedding models, vector‑based retrieval, and graph‑driven systems
- Deep experience with ranking and reranking architectures (bi‑encoders, cross‑encoders, multi‑tower structures)
- Strong Python engineering fundamentals and experience deploying complex AI systems
- Experience with reasoning frameworks, orchestration approaches, or agentic system design
- Ability to guide high‑impact initiatives from ideation through to production release
- Strong communication skills and the ability to influence technical and non‑technical stakeholders
NICE TO HAVE
- Research publications or recognised contributions to AI/ML/NLP communities
- Experience in fine‑tuning or post‑training large models
- Familiarity with evaluation methods for complex retrieval and agentic systems
- Experience working with large‑scale cloud environments and MLOps frameworks
- Proven ability to transition research prototypes into stable, enterprise‑grade products
THE OFFER
- Competitive compensation
- Ownership of a foundational AI capability within a rapidly scaling technical environment
- Autonomy to shape long‑term direction, architecture, and technical standards
- Opportunity to work on complex, meaningful challenges with a highly skilled AI team
To Apply for this Job Click Here
Forward Deployed Senior Data Scientist
$150000 - $175000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Senior Data Scientist
New York
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Data Scientist
AdTech | Fully Remote (US)
Base salary up to $200K + equity
On behalf of a high-growth AdTech startup, we are partnering with an innovative, venture-backed business that is scaling a data‑driven advertising platform operating at significant volume and complexity. The company is building core technology for real-time decisioning, optimisation, and measurement, and is now seeking a Principal Data Scientist / ML Engineer to play a key role in shaping its machine learning and data science capabilities.
This position represents a true hybrid role, split approximately 50% Machine Learning Engineering and 50% Data Science, with end‑to‑end ownership from research through to production.
The Role
The successful candidate will operate at Principal level, acting as both a hands-on technical leader and a strategic partner to Product and Engineering leadership.
Key responsibilities include:
- Owning and leading high-impact ML and data science initiatives across the business
- Designing and scaling production-grade ML architectures using Databricks and cloud-native tooling
- Building, deploying, and maintaining batch and real-time ML pipelines used in customer-facing systems
- Developing advanced statistical and machine learning models to support optimisation, ranking, forecasting, and attribution use cases
- Establishing best practices for experimentation, feature engineering, model deployment, monitoring, and retraining
- Driving MLOps standards across the organisation, including CI/CD for ML, model versioning, and performance monitoring
- Translating complex business problems into robust, data-driven solutions
- Mentoring senior and mid-level data scientists and ML engineers, while setting a high technical bar
- Contributing to the longer-term ML and data strategy in a fast-scaling startup environment
Required Background
- 6-10+ years of experience across Data Science and/or ML Engineering, with demonstrated impact at Staff or Principal level
- Strong hands-on experience building and operating production ML systems at scale
- Deep expertise with Databricks (Spark, MLflow, Delta Lake, feature pipelines)
- Excellent foundations in statistics, machine learning, and applied mathematics
- Experience working with large, complex, real-world datasets in high-throughput environments
- Proven ability to balance research depth with engineering pragmatism
- Comfortable operating in ambiguous, high-ownership startup settings
Preferred Experience
- Background in AdTech, MarTech, marketplaces, or data-intensive SaaS platforms
- Exposure to real-time or low-latency ML systems
- Experience influencing ML platform or data strategy at company level
- Familiarity with GenAI or LLM use cases within advertising or data products
Why This Opportunity
- Join a rapidly scaling AdTech startup at a pivotal stage of growth
- Significant influence over technical direction, architecture, and modeling approaches
- Fully remote role (US-based)
- Competitive compensation package: up to $200K-$210K base + bonus + equity
- High level of ownership and visibility within the business
To Apply for this Job Click Here
Senior Data Scientist
Manchester
£70000 - £90000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Scientist
Manchester (2 days on site)
A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics.
The Company
They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics.
They process billions of data rows weekly to prevent wasteful and fraudulent traffic.
Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation.
The Role
* Deliver full lifecycle AI and ML projects from prototype to production.
* Build applied AI workflows including LLMs, NLP, and RAG‑based solutions.
* Work with large and messy tabular datasets to create high‑impact models.
* Develop classification and optimisation approaches to enhance customer outcomes.
* Partner with Product and Engineering to integrate models into the platform.
* Lead the transition toward a more AI‑driven product ecosystem.
Your Skills and Experience
* Strong commercial experience deploying AI and ML systems into production.
* Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows.
* Confident working with large‑scale tabular datasets and complex data environments.
* Cloud experience, ideally AWS, plus familiarity with MLOps practices.
* Background in product‑focused environments or consultancy.
* Ability to evidence measurable business impact from previous technical projects.
What They Offer
* Hybrid working with two office days weekly.
* High levels of ownership across AI strategy and delivery.
* Opportunity to build the company’s first production AI systems.
* Collaborative culture within a scaling SaaS environment.
* Clear progression as the AI function grows.
How to Apply
To register your interest, please apply with your CV.
To Apply for this Job Click Here
Senior Machine Learning Engineer (Fully Remote)
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
To Apply for this Job Click Here
Data Engineer (Consultant)
New York
$75 - $100
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Consulting Data Engineer (Professional Services)
About Harnham
Harnham is a specialist in data and analytics recruitment. We connect high-performing contractors with consulting teams delivering modern data platform projects.
About the client
Our client is a professional services organisation supporting enterprise customers on cloud data platform modernisation. They deliver hands-on projects across data engineering, platform migrations, and analytics enablement.
Role Details
Role: Consulting Data Engineer
Location: Remote, U.S. based
Pay range: $75-$100 per hour
Length: Initial 6-month contract (strong possibility of extension)
Utilization: 40 hours per week
The role
You will deliver customer-facing data engineering engagements focused on modernising data platforms and enabling advanced analytics and ML use cases. This role blends technical execution with consulting: designing architectures, leading migrations, building scalable pipelines, and advising on best practices. You will work closely with client stakeholders and internal delivery teams to drive measurable outcomes.
Key responsibilities
- Design cloud-native data architectures to support analytics and AI initiatives.
- Build and optimise distributed data pipelines using Spark and modern data tooling.
- Lead or support cloud and platform migrations, including best-practice delivery and documentation.
- Implement deployment practices including CI/CD patterns and production readiness checks.
- Partner with business and technical stakeholders to translate needs into delivered solutions.
- Provide clear technical guidance, demos, and knowledge transfer to client teams.
Requirements: must have
- 6+ years in data engineering, analytics engineering, or cloud data architecture.
- Strong coding ability in Python or Scala.
- Deep experience with Apache Spark and distributed data processing.
- Experience with at least one major cloud platform (AWS, Azure, or GCP).
- Hands-on experience with a modern lakehouse platform (Databricks experience required).
- Strong communication skills and comfort working directly with clients.
Nice to have
- CI/CD experience for data workloads and production deployments.
- Working knowledge of MLOps concepts and ML lifecycle needs.
- Migration experience from legacy or third-party platforms.
- Experience scoping work, managing delivery timelines, and handling scope change.
Outro
If you enjoy customer-facing delivery, solving complex data challenges, and building modern cloud data solutions, we would love to speak with you. Apply today or reach out for a confidential conversation.
We will not be utilizing third parties for this search. Please apply or reach out if you are a candidate interested in the role.
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$180000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: Remote (with optional hybrid New York)
Salary: Salary up to $220,000
THE COMPANY
Our client is a fast-growing, profitable technology business operating at the cutting edge of AI-driven decisioning. They partner with global brands to deliver advanced machine learning solutions that optimize real-time strategies across digital platforms.
THE ROLE
As a Senior Machine Learning Engineer, you will play a key role in building scalable ML infrastructure and deploying production-grade models that directly impact business outcomes. This is an opportunity to work on distributed systems, cutting-edge neural network architectures, and MLOps best practices in a high-performance environment.
RESPONSIBILITIES
- You will architect and train neural network models for optimization and audience modeling using PyTorch and distributed training frameworks.
- You will build multi-GPU training pipelines and implement hyperparameter tuning strategies.
- You will develop feature engineering workflows using PySpark and embedding techniques.
- You will own the ML lifecycle from training to batch inference, ensuring automation and reproducibility.
- You will implement monitoring and observability solutions to track model performance and system health.
- Collaborate with cross-functional teams to align ML initiatives with product strategy and KPIs.
REQUIREMENTS
- MSc or PhD in Computer Science, Machine Learning, or related field.
- Strong ML engineering with strong proficiency in PyTorch.
- Hands-on experience with Databricks.
- Expert-level Python and PySpark skills for large-scale data processing.
- Familiarity with cloud platforms (AWS) and data warehousing (Snowflake).
- Strong understanding of CI/CD workflows and best practices.
BENEFITS
- Competitive salary and bonus structure.
- Comprehensive health coverage.
- Generous PTO and company holidays.
- Flexible remote working options.
HOW TO APPLY
If you’re passionate about building scalable ML systems and want to work in a dynamic, innovative environment, apply today to learn more.
Desired Skills and Experience
MLOps, DataBricks
To Apply for this Job Click Here
Senior ML Engineer – Adtech
NEW YORK
$180000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Senior Data Scientist
New York
$200000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
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
To Apply for this Job Click Here
Director of Machine Learning
$400000 - $500000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
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.
To Apply for this Job Click Here
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Visit our Blogs & News portal or check out our recent posts below.
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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 – 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
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
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 – 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.
