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.
- 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.
- 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.
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.
AI Engineer
Newcastle upon Tyne
£70000 - £75000
+ Data Science & AI
PermanentNewcastle upon Tyne, Tyne and Wear
To Apply for this Job Click Here
AI Engineer
Location: Remote-First (UK Based)
Salary: £70,000
The Role
I’m working with a start up company who are are looking to hire an AI Engineer to help design and deploy LLM-powered tools. You’ll prototype and build end-to-end systems that extract and act on data from diverse document types using LLMs, RAG pipelines, and agent-based reasoning.
Experience Required
- Strong Python engineering skills and experience with AI tooling
- Experience building and deploying microservices (FastAPI, Kubernetes)
- Familiarity with CI/CD pipelines and modern software practices
- Background in document extraction and reasoning (LLMs, RAG, agents)
- Exposure to multimodal data (text, images, structured)
- MLOps, model monitoring, and rapid prototyping (Streamlit, Dash, etc.)
- 3-4+ years in software or ML engineering roles
The Interview Process
- Intro chat with Lead Data Scientist
- Take-home technical challenge – Focused on structuring AI software
- Final stage interview – Deep dive with the wider team
To Apply for this Job Click Here
Senior ML & AI Backend Developer
London
£500 - £550
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior ML & AI Backend Developer
You’ll lead the design and deployment of scalable backend systems powering ML, big data, and LLM-driven applications. From MLOps pipelines and big data engineering to productionizing classical ML and LLMs, you’ll be at the core of AI infrastructure.
Key Requirements:
-
Expert in Python, ML/AI frameworks (PyTorch, TensorFlow, Hugging Face)
-
Proven MLOps, big data, and backend/API development experience
-
Deep understanding of NLP and LLMs
-
Proficient with cloud platforms (AWS/GCP/Azure), Airflow, DBT, Docker/Kubernetes
-
Strong collaboration, problem-solving, and coding best practices
Nice to have: LLM fine-tuning, streaming data, big data warehousing, open-source contributions.
To Apply for this Job Click Here
ML & AI Engineer
City of London
£400 - £500
+ Data Science & AI
ContractCity of London, London
To Apply for this Job Click Here
Senior ML & AI Backend Engineer – Big Data, LLMs & MLOps
About the Role
We’re an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We’re looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that make our AI products possible. If you thrive in lean, collaborative teams and want your work to have a direct, tangible impact, this is the place for you.
What You’ll Do
-
Architect and implement scalable backend systems powering ML models and LLMs in production.
-
Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration.
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Develop solutions for big data storage and processing, ensuring data quality, security, and efficiency.
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Integrate and optimize both classical ML models and LLMs for real-world use cases.
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Research and experiment with state-of-the-art algorithms, tools, and frameworks – bringing fresh ideas from prototype to production.
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Collaborate closely with a cross-functional team of data scientists, engineers, and product stakeholders.
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Write clean, maintainable, well-tested code and help set engineering best practices.
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Diagnose and resolve complex technical challenges in big data and ML systems.
About You
-
You’re fluent in Python and experienced with leading ML/AI frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
-
You have a solid background in MLOps: experiment tracking, CI/CD for ML, model versioning, deployment, and monitoring.
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You’ve built scalable backend systems and APIs (RESTful/GraphQL), with solid experience in microservices and databases (SQL/NoSQL).
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You know your way around big data tools (Spark, Dask) and orchestration (Airflow, DBT).
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You understand NLP and have experience working with Large Language Models.
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You’re cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes).
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You have strong problem-solving and communication skills and enjoy working on open-ended technical challenges.
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Bonus points if you’ve fine-tuned LLMs, worked with real-time data streaming, or contributed to open-source ML projects.
Why You’ll Love It Here
-
Direct influence on impactful products and cutting-edge ML/AI systems.
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Work with a tight-knit, collaborative team where your ideas matter.
-
Opportunity to grow fast alongside a growing company.
To Apply for this Job Click Here
LEAD DATA ARCHITECT
Poitiers
€70000 - €90000
+ Data Engineering
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
RESPONSABLE DE L’ARCHITECTURE DATA
NOUVELLE-AQUITAINE
65-85K€
En tant que Responsable de l’achitecture data, vous incarnerez le socle technique de l’équipe Data Engineering au sein de ce client final. Vous serez responsable de piloter, challenger et faire évoluer une architecture déjà robuste, tout en accompagnant la mise en production de projets à forte valeur ajoutée.
VOTRE RÔLE
- Auditer et renforcer la stack existante (Snowflake, Talend, DBT, Power BI, Qlik, AWS) avec une vision orientée ROI.
- Cartographier et fiabiliser les pipelines existants, tout en préparant une migration vers des outils ELT modernes (ex. DBT).
- Mettre en place et configurer une solution de monitoring des flux via SIFLET.
- Piloter l’industrialisation des projets IA / MLOps, en lien avec les équipes Data Science et les prestataires externes.
- Accompagner et coordonner l’équipe Data Engineering (1 junior + 4 prestataires) avec un vrai leadership technique, sans dimension managériale directe.
VOTRE PROFIL
- 7 à 10 ans d’expérience en Data Engineering / Architecture Data (flexible à partir de 5 ans pour un profil exceptionnel).
- Maîtrise de Snowflake, AWS (ou autre cloud), CI/CD, et connaissance d’outils ELT (DBT, Talend…).
- Expérience dans l’industrialisation de modèles IA ou une bonne maîtrise des pratiques MLOps.
- Capacité à challenger des choix technologiques, construire une vision et embarquer une équipe transverse.
- Leadership technique, capacité à travailler avec des prestataires, sans responsabilité managériale formelle.
- Langues : français courant et anglais professionnel requis.
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
Poitiers
€60000 - €61000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
SENIOR DATA SCIENTIST
NOUVELLE-AQUITAINE
60-80K€ + avantages
Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.
VOTRE ROLE
- Concevoir, développer et industrialiser des modèles IA (prévisions, scoring, segmentation, optimisation…).
- Structurer la vision Data Science du groupe (cadre méthodologique, bonnes pratiques, outillage).
- Encadrer et faire monter en compétence une future équipe de Data Scientists, tout en étant hands-on au démarrage.
- Travailler en synergie avec les équipes Data Engineering, IT et métiers pour garantir la valeur opérationnelle des cas d’usage IA.
VOTRE PROFIL
- Bac+5 ou doctorat en mathématiques appliquées, machine learning, statistiques ou équivalent.
- 6 à 10 ans en Data Science, dont une expérience significative en déploiement de modèles IA en production.
- Excellente maîtrise de Python, SQL, et des librairies ML (scikit-learn, XGBoost, TensorFlow…).
- Pratique des bonnes méthodes de MLOps : CI/CD, monitoring, automatisation, scalabilité.
- Connaissance des environnements Cloud et data warehouse.
- Leadership, autonomie, rigueur.
- Capacité à vulgariser les sujets IA auprès des équipes métiers.
- Esprit entrepreneurial, orienté impact et résultat.
To Apply for this Job Click Here
SENIOR DATA ENGINEER
Poitiers
€60000 - €80000
+ Data Engineering
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
SENIOR DATA ENGINEER
NOUVELLE-AQUITAINE
60-80K€ + avantages
Cette société industrielle recherche son Senior Data Engineer car elle connaît une accélération forte de sa transformation digitale, notamment autour des sujets data, IA et automatisation des processus.
VOTRE RÔLE
- Concevoir et faire évoluer une architecture data robuste, sécurisée et scalable (ingestion, transformation, stockage, exposition).
- Encadrer techniquement les projets d’intégration et de traitement de données, en lien avec les équipes internes et partenaires externes.
- Travailler en étroite collaboration avec les équipes IT, Data Science, Analytics et Métiers pour garantir l’alignement stratégique des solutions techniques.
- Préparer l’environnement technologique pour accueillir des projets IA/Machine Learning, dans une logique MLOps.
VOTRE PROFIL
- Bac+5 en informatique, systèmes d’information, data engineering ou domaine équivalent.
- Minimum 5 à 7 ans en environnement data / cloud, avec une première expérience en architecture technique.
- Maîtrise des pipelines de données, ETL/ELT, outils d’orchestration.
- Bonne connaissance des environnements Cloud et des architectures orientées données.
- Pratique confirmée de Python et SQL.
- Connaissance des problématiques de sécurité, gouvernance et industrialisation.
- Leadership technique, posture de conseil, esprit structuré.
- Capacité à vulgariser les enjeux data auprès de publics non techniques.
- Autonomie, rigueur, appétence pour les environnements en construction.
To Apply for this Job Click Here
LEAD DATA SCIENCE & IA
Poitiers
€65000 - €85000
+ Data Science & AI
PermanentPoitiers, Nouvelle-Aquitaine
To Apply for this Job Click Here
LEAD DATA SCIENCE & IA
POITOU-CHARENTES (86)
65-85K€
En tant que Lead Data Science & IA, vous serez responsable de la conception, du déploiement et de l’industrialisation des projets IA au sein du groupe. Ce poste stratégique allie expertise technique, chefferie de projet, et acculturation des métiers à la data science.
Vous évoluerez dans un environnement agile, en pleine construction, avec une grande liberté d’action et un fort impact business.
VOTRE RÔLE
- Développer et déployer des modèles ML/IA sur des cas d’usage métier (prévision, scoring, optimisation…)
- Assurer la maintenance évolutive et l’amélioration continue des modèles
- Piloter l’industrialisation progressive (MLOps, containerisation, monitoring…)
- Cadrer et gérer les projets de A à Z : recueil de besoins, échanges métier, restitution
- Vulgariser les résultats et accompagner l’acculturation IA en interne
- Participer au recrutement et à la structuration de l’équipe Data Science
VOTRE PROFIL
- Minimum 5 ans d’expérience (possibilité d’ouvrir à 2-3 ans pour des profils très solides issus de grandes écoles type ENSAE, Télécom, Polytechnique, ENSAI)
- Solide formation en mathématiques appliquées / statistiques / machine learning
- Maîtrise avancée de Python, Docker, et des environnements Cloud (AWS ou autre)
- Expérience concrète en mise en production de modèles IA et pratique de MLOps
- Capacité à gérer un projet de bout en bout et à vulgariser les résultats auprès de publics non techniques
- Esprit structurant, terrain, et posture de leader technique
- Bon niveau de français et anglais
To Apply for this Job Click Here
MLOPS ENGINEER
Paris
€60000 - €65000
+ Data Engineering
PermanentParis, Île-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
Data Scientist
Northampton
£60000 - £70000
+ Data Science & AI
PermanentNorthampton, Northamptonshire
To Apply for this Job Click Here
Data Scientist
Salary: £70,000
Location: UK-based
A high-growth, data-driven company is seeking a hands-on, commercially minded Data Scientist to lead the development of intelligent matching algorithms, predictive models, and advanced recommendation systems.
This is a strategic individual contributor role where you’ll own high-impact projects from design to deployment and shape the future of search technology for some of the biggest names in private equity.
Ideal Candidate
- Experience: 5+ years in data science roles, preferably in fast-moving or early-stage environments
- Languages & Tools:
- Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch)
- Advanced SQL
- AWS
- MLOps tooling (e.g., MLflow, SageMaker, or similar)
- Bonus Points For:
- Knowledge of LLMs, RAG pipelines, prompt engineering, or agentic interfaces
- Experience with data warehouse tools (Snowflake, Redshift, BigQuery)
- Familiarity with search, matching, or recommendation systems
- Soft Skills: Independent, highly communicative, and comfortable working directly with senior leadership and commercial stakeholders
Interview Process
- Screening conversation with hiring manager
- Technical discussion with the VP of Engineering
- Sign of chat with CEO
To Apply for this Job Click Here
Director of Machine Learning Engineer
$220000 - $260000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Machine Learning Engineering
AdTech | Remote – US Based | $220,000 – $260,000 + Bonus + Equity
Are you a hands-on leader who thrives at the intersection of machine learning systems, real-time infrastructure, and business impact?
We’re working with one of the fastest-growing AI-led AdTech platforms in the industry. Recently recognized for award-winning innovation in programmatic advertising, this company is redefining how brands apply custom AI to optimize media buying across major DSPs, Meta, and YouTube.
They’re now seeking a Director of Machine Learning Engineering to lead their end-to-end ML systems – from architecture to deployment – while mentoring a team of senior MLEs and collaborating closely with engineering and product.
If you’re passionate about building robust, scalable ML pipelines and shaping the future of real-time decisioning, this role is for you.
THE ROLE
As Director of Machine Learning Engineering, you’ll:
-
Own the architecture, deployment, and performance of custom ML systems used for large-scale ad bidding and decisioning.
-
Lead the design and optimization of low-latency pipelines built with Databricks, PySpark, Kubernetes, and Rust.
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Oversee LLM and neural network-based models, ensuring they are production-ready and aligned with business strategy.
-
Collaborate with the Engineering Architect to build resilient, scalable ML infrastructure.
-
Mentor and manage a growing team of 3+ MLEs, fostering high standards in ML software engineering.
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Guide adoption of emerging technologies like LoRA, quantization, vector stores, and Rust microservices for model serving.
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Partner cross-functionally to translate business objectives into impactful AI solutions.
SKILLS & EXPERIENCE
To be successful, you will need:
-
8+ years of experience in machine learning engineering, with 3+ years in leadership roles.
-
Deep expertise in building real-time ML systems with Kubernetes, Rust, PySpark, Databricks, and deep learning frameworks like PyTorch or TensorFlow.
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A proven track record of deploying LLMs and neural networks at scale.
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Mastery of MLOps tools including MLflow, Prometheus, Grafana, Airflow, etc.
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Strong cloud and data engineering experience (especially AWS and Databricks).
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A hands-on mindset with the ability to influence technical architecture and direction.
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Exceptional collaboration and communication skills across engineering and executive stakeholders.
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Experience in AdTech or performance marketing is a strong advantage.
BENEFITS
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Highly competitive base + performance bonuses + equity
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Unlimited PTO, 11 company holidays, and year-end closure
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Full medical, dental, vision & 401k options
-
Fully remote role within the US
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Opportunity to shape a best-in-class AI platform used by global brands
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Work in a transparent, high-ownership culture that values innovation and technical excellence
Interested in leading at the cutting edge of ML infrastructure in AdTech?
Apply now to connect with a consultant at Harnham.
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.
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Proficiency with deploying low-latency ML solutions and advanced architectures, including LLMs, vector stores, and Rust microservices.
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Strong stakeholder communication and ability to mentor and grow engineering talent.
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Background in advertising or performance marketing a bonus.
To Apply for this Job Click Here
MLOps Engineer
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
MLOps Engineer
London
£60,000-£70,000
About the Role:
Join a cutting-edge technology company at the forefront of immersive experiences powered by machine learning and extended reality. We are seeking a skilled MLOps Engineer to help build, deploy, and maintain scalable machine learning infrastructure that drives innovation in our products. You will play a critical role in developing scalable ML infrastructure that powers immersive XR applications with real-time 3D content.
Key Responsibilities:
- Design, develop, and maintain scalable MLOps pipelines tailored for XR applications, ensuring smooth deployment and monitoring of machine learning models.
- Collaborate closely with 3D artists and XR developers to integrate machine learning workflows with 3D rendering engines.
- Optimize ML models and workflows for real-time inference within 3D environments and XR platforms.
- Manage cloud infrastructure and automation tools to support continuous integration and continuous deployment (CI/CD) of ML models.
- Troubleshoot and resolve performance bottlenecks related to ML inference and 3D rendering workloads.
- Develop monitoring solutions to track model performance and system health in production.
- Stay up to date with the latest trends in MLOps, XR technologies, and 3D rendering techniques to propose innovative improvements.
Qualifications:
- Proven experience as an MLOps engineer or similar role with a focus on 3D applications
- Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.)
- Expertise in 3D reconstruction and rendering
- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker)
- Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment
Please register your interest for this role by sending your CV to Rosie O’Callaghan via the apply link on this page
To Apply for this Job Click Here
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Frequently Asked Questions: Machine Learning Operations
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 – 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.
Candidate /
Digital Media and Analytics
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
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 – 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 – 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 – 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.
