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 Staff/Technical Lead Machine Learning Engineer
New York
$300000 - $350000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Staff Machine Learning Engineer
Remote
Up to $350,000 + Equity
Company:
A fast-growing, mission-driven tech company in the behavioral modeling and personalization space is seeking a Senior Staff/Technical Lead Machine Learning Engineer to join and lead a team. Their platform leverages one of the largest consented behavioral datasets in the US to deliver private-by-design AI solutions for top global brands and platforms.
The team is made up of seasoned ML professionals from Top Companies, and they are partnered with major cloud providers to bring novel AI products to market. This role will be central to building and scaling ML-powered products, with a focus on ad optimization and recommendation systems.
Role:
- Design, build, and deploy end-to-end machine learning models focused on ad optimization, personalization use cases and recommendation systems.
- Develop ML pipelines and production systems that leverage rich behavioral signals to drive user value and business ROI.
- Partner with product and R&D teams to ideate and execute on high-impact, ML-first product strategies.
- Lead experimentation and model evaluation in a fast-paced, data-rich environment.
- Contribute to the development of scalable infrastructure using tools like Airflow, Spark, and CI/CD platforms.
- Work cross-functionally to bring zero-to-one ML products to market and continuously refine them post-launch.
- Stay on the pulse of emerging ML techniques in RecSys, behavioral modeling, and model optimization.
Requirements:
- MSc or PhD in a STEM field.
- Proven experience building and deploying machine learning systems in a commercial setting.
- Strong background in AdTech or recommender systems (RecSys) – with a clear understanding of personalization, targeting, or user intent modeling.
- Hands-on experience with orchestration tools (Airflow, Bazel), data infrastructure (Spark, SQL, Scala, or Python).
- DevOps knowledge including CI/CD best practices and production model monitoring.
- Familiarity with cloud platforms (AWS, Databricks) and ML tooling (MLFlow, TensorFlow, Kubernetes).
- Strong collaboration and communication skills, with a product-oriented mindset.
- A bias toward action and a “roll up your sleeves” attitude-ideal for a dynamic startup environment.
Salary and Benefits:
- $300,000 – $350,000 base salary
- Meaningful Equity & Financial Upside
- Fully Remote (with hybrid options in Boston, SF Bay Area, Seattle, NYC)
How to Apply:
Please register your interest by submitting your CV via the Apply link on this page.
Desired Skills and Experience:
Machine Learning Engineering, AdTech, Personalization, Recommender Systems, MLOps, CI/CD, Airflow, Spark, Python, AWS
To Apply for this Job Click Here

Senior Data Scientist
London
£80000 - £85000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
Fashion retailer
London (2-3x days a week in office)
£85,000 + Bonus + Benefits
THE ROLE:
Harnham is working with a leading fashion retailer in the UK who are looking to add a Senior Data Scientist to their UK team.
The focus of this new investment is to introduce cutting-edge machine learning to the business, solving problems across the company.
Projects will include: performance marketing (attribution modelling / market mix modelling), customer behaviour analysis, supply chain optimisation and dynamic pricing strategies.
WHAT YOU NEED:
- A solid understanding of both supervised and unsupervised machine learning techniques
- A passion for solving complex commercial problems with a data-driven modelling approach
- Strong communication skills
- An MSc or equivalent in a STEM subject
- Strong skills in Python and SQL
- Cloud experience
- Experience in deploying, scaling and maintaining machine learning models in production.
THE BENEFITS
You can earn up to £85,000 + bonus + benefits in this position.
HOW TO APPLY
To be considered for this exciting opportunity, please submit your details using the Apply button on this page. For more information about similar roles please contact Nick Mandella at Harnham.
KEYWORDS
Python, SQL, Data Scientist, Data Science, Machine Learning, Retail, Customer, marketing, Data, AI. Databricks, azure, MLOps.
To Apply for this Job Click Here

MLOPS ENGINEER
Paris
€60000 - €65000
+ Data Engineering
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
MLOPS ENGINEER
PARIS (75)
60-65k€
PYTHON – DOCKER – AWS – GPU
Venez rejoindre cette start-up Saas IA pour un rôle de MLOps engineer.
VOTRE RÔLE
Vous serez en charge de :
- Évoluer et maintenir l’infrastructure ML
- Accélérer et soutenir la recherche
- Améliorer les pipelines ML et les performances de prédiction des modèles
- Assurer des opérations fiables
- Surveiller les coûts et les performances du système
VOTRE PROFIL
- Au moins une première expérience sur un rôle similaire
- Maîtrise de Python et docker obligatoire
- Connaissance d’un cloud public idéalement AWS
- C’est un plus si vous avez travaillé sur des GPU
- Top école d’ingénieur
- Basé à Paris
To Apply for this Job Click Here

AI Engineer
Amsterdam
€70000 - €80000
+ Computer Vision
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Title: AI Engineer – Computer Vision & AI Specialist
Location: Amsterdam
Job Type: Full-time
About Them
This company are on a mission to redefine what’s possible with AI. They are building cutting-edge solutions that harness the power of artificial intelligence to solve real-world problems at scale.
They are a smalll but growing company who have won multiple awards and they are looking for an AI/Computer Vision specialist to support them on a new role in the team.
The Role
They are looking for a passionate AI Engineer with deep expertise in Computer Vision to join our growing R&D team.
You’ll be designing and developing intelligent vision-based systems that can perceive, understand, and make decisions-across diverse environments and datasets.
This is a hands-on engineering role, perfect for someone who loves solving hard problems with elegant algorithms and robust code.
What You’ll Do
- Design, build, and deploy computer vision models (object detection, classification, segmentation, tracking, etc.)
- Work with image, video, and sensor data across real-time and batch pipelines
- Develop and optimize deep learning architectures (CNNs, Transformers, GANs, etc.)
- Collaborate with cross-functional teams including data engineers, product managers, and ML ops
- Research and implement state-of-the-art techniques from academia and industry
- Continuously monitor and improve model performance in production
- Contribute to our AI platform infrastructure and help scale our solutions
What They Are Looking For
- Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV)
- Strong software engineering skills in Python and/or C++
- Solid understanding of neural networks, image processing, and machine learning fundamentals
- Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration
- Experience with production-grade AI/ML systems is a big plus
- Degree in Computer Science, AI, Mathematics, or a related field (Master’s or PhD preferred)
- Curiosity, creativity, and a love for solving complex challenges
Bonus Points For
- Experience with 3D vision, LiDAR, SLAM, or AR/VR
- Contributions to open-source CV or AI projects
- Experience with MLOps and model lifecycle management
- Publications or Kaggle competition wins
What They Offer
- Competitive salary + stock options
- Flexible remote-first work culture
- Learning budget for conferences, books, and courses
- Work with a team of passionate, world-class AI engineers and researchers
- Real impact on cutting-edge products used by thousands (or millions!) of people
To Apply for this Job Click Here

Senior Platform Engineer
Manchester
£70000 - £85000
+ Data Engineering
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Platform Engineer
Location: Primarily Remote (1 day/month in-office)
Salary: £70,000 – 85,000
Join a cutting-edge Data Platform Engineering team working on real-time analytics and microservices architecture to power one of the most sophisticated martech solutions in the industry.
About the Role:
Reporting directly to the Platform Engineering Manager, you’ll be a vital part of a team that enables real-time data processing and analytics. This role involves developing and maintaining microservices, capturing user events and feeding them into a Snowflake-powered analytics platform.
What You’ll Be Doing:
- Developing microservices that handle real-time data ingestion from APIs into the data warehouse
- Working with live-streaming data
- Writing clean, efficient Java code (Python is a bonus!)
- Enhancing and scaling the experimentation framework to support data science and ML operations
- Ensuring high-quality, accurate data delivery across data platforms
- Collaborating with analytics engineers and data scientists to enable fast insights
- Participating in a CI/CD pipeline to deliver high-velocity, production-ready systems
This Role Requires:
- Strong Java skills
- Experience with live-streaming technologies such as Kafka, Flink or Kinesis
- Solid understanding of event-driven architecture
- Experience with CI/CD practices and tools
- Familiarity with microservices and modern cloud-based platforms
- Exposure to MLOps and Kubernetes is a big plus
- Computer Science degree or equivalent practical experience
To Apply for this Job Click Here

MLOps
Paris
€60000 - €75000
+ Data Science & AI
PermanentParis, ÃŽle-de-France
To Apply for this Job Click Here
MLOPS
Localisation : Paris
Télétravail : 2 jours/semaine
Salaire : selon profil et expérience,60-75K euros fixe
Nous recherchons un profil MLOps pour notre client, une scaleup française spécialisée dans des solutions d’IA. Vous serez rattaché au Head of Data et rejoindrez une équipe composée de 6 personnes.
Missions :
- Développer et maintenir l’infrastructure de Machine Learning
- Accélérer et soutenir la recherche
- Améliorer les pipelines de Machine Learning et les performances de prédiction
- Assurer la fiabilité des opérations
- Surveiller les coûts et les performances du système
Profil recherché :
- BAC+5 école d’ingénieurs
- 3 ans d’expérience post-diplôme minimum
- Expérience avérée en start-up/scale-up
- Maîtrise de Python, Docker et d’un Cloud Provider
- Expérience sur des GPU
- Anglais et Français obligatoires
To Apply for this Job Click Here

Senior Machine Learning Engineer
Boston
$160000 - $200000
+ Data Science & AI
PermanentBoston, Massachusetts
To Apply for this Job Click Here
Senior Machine Learning Engineer
$160,000 – $200,000
Hybrid – Boston, MA
My client is a non-profit, government-funded research organization that is advancing national security and providing independent advice on matters of public interest. With a significant portion of the American public expressing skepticism about AI, they are dedicated to changing that narrative and fostering trust in AI technologies.
This role will be on the Trusted and Secure AI team, where the mission is to develop AI products and services that enhance collective societal well-being. They are seeking a Senior AI Security Engineer to provide technical leadership and drive innovation in the development of secure AI/ML solutions, with a specific focus on large language models (LLMs)
The Role
- Analyze AI use cases to recommend secure and trustworthy solutions to sponsors.
- Prototype AI and LLM-based tools to meet operational needs.
- Evaluate technology solutions in the context of mission data and workflows, providing actionable recommendations.
- Communicate complex ideas to non-technical audiences through briefings and white papers.
- Lead or significantly contribute to projects aimed at solving complex AI security problems for our sponsors.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree (Master’s or PhD) is strongly preferred.
- Security clearance required (TS/SCI preferred; candidates must be able to obtain clearance if not currently held).
- Strong emphasis on thought leadership-publications and experience in an academic setting are highly valued.
- Proven experience with prototyping, LLMs, and building databases or data pipelines. Candidates should be comfortable and excited about creating solutions from scratch.
- Demonstrable experience with LLMs, particularly in innovative applications beyond typical chatbot implementations.
THE BENEFITS
A competitive base salary of $160,000-$200,000 will be offered (dependent on experience) + Equity + Benefits
HOW TO APPLY
Please register your interest by sending your Resume to Cassie Wandell via the Apply link on this page
KEYWORDS
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Edge Computing | Agile | Python | Hadoop | Java | C | API | TSSCI | Big Data | Statistics | Bayesian
To Apply for this Job Click Here

Senior NLP Engineer
New York City
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
NLP/Machine Learning Engineer – Financial Services
$190,000-$210,000 + Bonus
New York City – Hybrid
We are working with a top-tier financial institution that is rapidly expanding its AI and machine learning capabilities. They are investing heavily in NLP-driven solutions to enhance financial modeling, risk assessment, and automation.
As they scale, they are looking for an NLP/ML Engineer to design, build, and deploy machine learning models into production-playing a critical role in shaping the firm’s AI strategy.
THE ROLE
This role will be responsible for developing and deploying end-to-end NLP and ML solutions that drive efficiencies across financial operations, risk assessment, and data analytics. You will work with cutting-edge machine learning frameworks to build scalable AI solutions that integrate seamlessly into the firm’s core business processes.
RESPONSIBILITIES
- Design and deploy NLP and ML models for financial risk assessment, automation, and decision-making.
- Take models from research and development through production, ensuring scalability and efficiency.
- Work closely with engineering and infrastructure teams to optimize model performance.
- Develop and fine-tune large language models (LLMs) to enhance financial insights.
- Integrate AI-driven solutions into cloud environments and financial data pipelines.
- Collaborate with stakeholders across data science, trading, risk, and compliance teams.
- Stay up to date with the latest AI research and advancements in NLP and ML.
YOUR BACKGROUND
- Strong hands-on experience in NLP and machine learning, preferably in financial services.
- Proven track record of deploying ML models into production at scale.
- Expertise in Python, TensorFlow, PyTorch, and cloud-based ML solutions (AWS, Azure, or GCP).
- Experience with large language models (LLMs) and transformer architectures.
- Familiarity with MLOps best practices for model deployment and monitoring.
- Strong problem-solving skills and ability to work cross-functionally.
HOW TO APPLY
If you have a background in NLP/ML and experience deploying AI models in financial services, apply to Grace’s link below
KEYWORDS
NLP | Machine Learning | LLMs | Financial AI | Risk Modeling | Model Deployment | Python | MLOps | AI in Finance | Cloud ML | Deep Learning
To Apply for this Job Click Here

VP of Machine Learning Platforms
New York City
$210000 - $230000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
VP of Machine Learning Platforms
Hybrid – NYC Metro Area
$210,000-$230,000
CLIENT
Our client is a leading innovator in the financial sector, leveraging cutting-edge technology and engineering solutions to drive impactful business outcomes by integrating advanced systems, data, and ideas.
As a VP of Machine Learning Platforms, you will oversee the development and management of Python programming and AI/ML runtime environments. This includes building a robust Python user community, delivering tools to streamline user workflows, and leading the development of foundational runtime environments that support state-of-the-art AI/ML models using advanced GPU hardware and multi-cloud platforms.
THE ROLE
- Define and implement a strategic vision for Python and AI/ML runtime platforms.
- Lead, mentor, and develop a high-performing engineering team specializing in Python and MLOps.
- Drive collaboration and innovation to foster a culture of continuous improvement.
- Work with stakeholders and industry leaders to design scalable, containerized runtime environments for AI/ML models.
- Apply MLOps and CI/CD principles to create fully automated build and deployment pipelines.
- Ensure smooth integration and performance of AI/ML frameworks on Unix-based systems and GPU-supported environments.
- Develop user resources, such as example notebooks, to demonstrate effective AI/ML framework utilization.
- Promote best practices for MLOps and advocate for adopting the latest advancements in AI/ML software and technologies.
YOUR SKILLS AND EXPERIENCE
- Proficiency in Python for machine learning or application development.
- Expertise in building and maintaining containerized runtime environments for data science and machine learning.
- Strong leadership experience with a proven ability to guide and develop engineering teams.
- Solid knowledge of Unix-based systems, CI/CD pipelines, and GPU-supported runtime environments (e.g., CUDA).
- Advanced understanding of Python frameworks, tools, and packages.
- Familiarity with containerization tools (e.g., TensorRT, ONNX, MPI, DeepSpeed) and orchestration platforms like Kubernetes.
- Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) and public cloud platforms (e.g., AWS, GCP).
- Exceptional problem-solving skills and the ability to thrive in dynamic environments.
- Strong communication skills to articulate technical concepts to diverse audiences.
BENEFITS
- Competitive base salary: $210,000-$230,000 (dependent on experience)
- Performance-based bonus and comprehensive benefits package
HOW TO APPLY
Submit your resume to Grace McCarthy via the “Apply” link on this page
KEYWORDS
MLOps | Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Python | Financial Data | Platform | Deployment | CI/CD | Containerization | Infrastructure
To Apply for this Job Click Here

Director of Machine Learning Infrastructure
Jersey City
$250000 - $270000
+ Data Science & AI
PermanentJersey City, New Jersey
To Apply for this Job Click Here
Director of Machine Learning Infrastructure
Financial Services
Jersey City, NJ – 4 days onsite
$250,000-270,000 base + bonus + RSUs
Harnham is teaming up with a top-tier financial powerhouse to find an extraordinary leader who will revolutionize the future of their AI/ML platforms. This is your chance to take the helm of cutting-edge projects, pushing the boundaries of technology with the potential to make a global impact. If you’re a GPU expert with an unstoppable drive to build MLOps infrastructure from scratch, this is the opportunity you’ve been waiting for!
The Role
- Lead a team of skilled AI/ML/MLOps Engineers to deliver innovative solutions and solve complex problems in the financial services sector.
- Drive the strategic vision for the firm’s AI/ML frameworks and GPU-powered platforms while staying hands-on with technical execution.
- Define the strategic direction for AI/ML frameworks and GPU-powered platforms.
- Collaborate with internal and external stakeholders to implement best-in-class tools and technologies.
- Apply MLOps best practices to create seamless, efficient deployment pipelines.
- Build and maintain containerized runtime environments for AI/ML workloads.
Skills and Experience
- Expert-level proficiency in Python programming and machine learning frameworks like TensorFlow and PyTorch.
- In-depth experience with GPUs and related technologies, including CUDA.
- Hands-on experience with containerization, cloud platforms, and CI/CD pipelines.
- Direct people management experience of modest-sized teams
- Ability to gain buy-in from stakeholders across the business
- Fluent in machine learning operations, runtime, orchestration and workflow optimization
- Fluent in maintaining containerized runtime environments
- Experience building CI/CD pipelines
- Demonstrated ability to balance strategic leadership with hands-on technical execution.
- BS or MS degree in Computer Science, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $250,000-270,000 + bonus + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | MLOps | Production | Machine Learning Operations | AI | Artificial Intelligence | GPUs | Containerization | PyTorch | Python | CUDA
To Apply for this Job Click Here

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