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
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
Manager, MLOps Engineering
Toronto
$170000 - $190000
+ Data Science & AI
PermanentToronto, Ontario
To Apply for this Job Click Here
Manager, MLOps Engineering
$170,000-$190,000 + bonus + RSUs
Legal-tech
Toronto, Canada
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of team management experience working with ML systems (Python)
- Experience with ModelOps / MLOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
- People management of teams greater than 5
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 | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Senior MLOps Engineer
Washington
$90 - $100
+ Data Science & AI
ContractWashington, District of Columbia
To Apply for this Job Click Here
Senior MLOps Engineer
Fully Remote
12-Month Contract
$90-$100/hr
Are you looking to advance your MLOps career in an innovative and AI driven Fintech company? Apply below!
THE ROLE
- Responsible for design and development of production-grade Machine Learning solutions. Help set ML engineering standards (development stack, sample starter projects, etc.
- Lead the scalability, performance, and reliability of applications, training, and inference workflows.
- Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in ML platform and development ecosystem
- Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies
- Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solution
- Work closely with Data Engineering and DevOps to design robust processing workflows and pipelines
- Work closely with technical product management/owners and engineering teams to discover AI/ML-related reusable datasets, design patterns, components, libraries, and infrastructure to optimize costs and find multi-functional commonalities
YOUR SKILLS AND EXPERIENCE
- Bachelor’s degree in Business Administration, Computer Science, Data Systems or Data Engineering preferred
- 9+ years of experience in Lead Software Engineering position with at least 5+years hands on with implementing AI/ML solutions.
- Expert in Python, including some experience with machine learning libraries and frameworks such as sklearn, TensorFlow, PyTorch, or Keras
- Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring.
- Expertise in Relational Databases, MySQL, In-Memory databases, NoSQL databases, AWS is a significant plus. Understanding of containerization (Docker & Linux experience).
- Understanding of GPU acceleration techniques
To Apply for this Job Click Here
Director of Data Science & LLMs – Financial Services
New York
$300000 - $325000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Data Science & LLMs – Financial Services
Location: Hybrid in New York, New York
Compensation: $300,000 – $325,000 base salary + performance bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth financial services company at the intersection of AI, legal tech, and compliance, which is fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.
With executive-level support and increasing product demand, they’re seeking a Director of Data Science to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.
THE ROLE
As Director of Data Science, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.
Key Responsibilities:
- 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.
- Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.
- Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.
- 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.
- 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.
- Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
- Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
- Extensive financial services domain experience.
- Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
- PhD or Master’s degree in Computational Linguistics, Computer Science, Engineering, or a related technical field.
- Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
- Senior-Level Management Compensation: $300,000 – $325,000 base + bonus + tangible equity.
- Remote-First Culture: Work from anywhere in the United States or Canada.
- Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
- Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
- Strategic Impact: Lead a core function at the center of the company’s long-term success.
HOW TO APPLY
Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.
KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | NLU | NLG | Information Retrieval | Large Language Models | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI
To Apply for this Job Click Here
AI Marketing Lead
Amsterdam
€95000 - €110000
+ Data Science & AI
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
AI Consultant – Machine Learning | Global Innovation Leader
Location: Amsterdam
Type: Full-Time
Department: Technology & Innovation
Level: Mid-Senior
Join Us to Shape the Future of AI Across Industries
This company are a global powerhouse in innovation, delivering cutting-edge solutions that empower industries to evolve and lead in the digital era. From financial services and healthcare to logistics and retail, our clients count on us to unlock the transformative power of artificial intelligence.
They are looking for a Machine Learning-focused AI Consultant who combines technical depth with business acumen. You’ll work with global clients to identify AI opportunities, design ML solutions, and drive real-world impact at scale.
What You’ll Do
- Collaborate with cross-functional teams to define AI/ML strategies aligned with business goals.
- Design and develop machine learning models, pipelines, and prototypes for enterprise use cases.
- Advise on the selection of appropriate ML tools, frameworks, and cloud platforms.
- Communicate technical concepts to non-technical stakeholders with clarity and influence.
- Support pre-sales efforts and client workshops, offering thought leadership in AI applications.
- Ensure responsible AI practices, including fairness, interpretability, and compliance.
What We’re Looking For
- Proven experience in machine learning model development and deployment (e.g., Python, TensorFlow, PyTorch, Scikit-learn).
- Solid grasp of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.
- Experience working with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong consulting mindset with the ability to translate business problems into ML solutions.
- Excellent communication and client engagement skills.
- Bachelor’s or Master’s in Computer Science, Data Science, or a related field (PhD a plus).
Why Join Us?
- Global Impact: Work with top-tier clients in 40+ countries.
- Innovation Culture: Collaborate with thought leaders and contribute to breakthrough AI initiatives.
- Growth & Learning: Access to internal AI labs, certifications, and global conferences.
- Flexibility: Hybrid work options and support for remote team members worldwide.
- Diversity & Inclusion: We believe in building inclusive technology – and teams that reflect that.
To Apply for this Job Click Here
Machine Learning Engineer (Life Sciences)
Boston
$90 - $100
+ Life Science Analytics
ContractBoston, Massachusetts
To Apply for this Job Click Here
Machine Learning Engineer (Life Sciences)
12-Month Contract
Hybrid in Boston, MA
We are working with a well-established Life Sciences company whose mission is to transform the lives of people with serious diseases. Their team is seeking an MLE to build and scale the machine learning infrastructure behind their next-generation therapeutic discovery platforms. You’ll work at the intersection of cutting-edge ML and translational science to accelerate the development of life-changing treatments for patients worldwide.
Responsibilities:
- Architect and implement ML systems that support therapeutic discovery platforms, with a focus on performance, scalability, and reliability in a clinical research environment.
- Analyze and optimize machine learning workflows by identifying bottlenecks and developing solutions to improve efficiency and throughput.
- Establish MLOps best practices across the organization, including experiment tracking, model versioning, and automated deployment pipelines.
- Lead the integration of ML systems with broader software and data infrastructure to enable seamless data flow and interoperability across the discovery pipeline.
Requirements:
- Demonstrated experience designing, building, and optimizing end-to-end machine learning systems, particularly for biological or clinical research data.
- Deep understanding of machine learning techniques, including experience applying deep learning to complex, high-dimensional biological datasets.
- Strong domain knowledge in areas such as cell biology, genetics, immunology, or related fields within life sciences or biomedical research.
- Advanced proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Proven track record of implementing robust data infrastructure and tooling to support scalable ML workflows in a scientific or healthcare setting.
To Apply for this Job Click Here
Senior Data Engineer
City of London
£450 - £550
+ Data Engineering
ContractCity of London, London
To Apply for this Job Click Here
DATA ENGINEER – DBT / AIRFLOW / DATABRICKS
4-MONTH CONTRACT
£450-550 PER DAY OUTSIDE IR35
This is an exciting opportunity for a Data Engineer to join a leading media organisation working at the forefront of data innovation. You’ll play a key role in designing and building the data infrastructure that supports cutting-edge machine learning and LLM initiatives. Expect to work closely with data scientists, helping to power intelligent content and audience tools across the business.
THE COMPANY
A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they’re looking for a contractor to accelerate delivery of critical pipelines and platform improvements.
THE ROLE
You’ll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you’ll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.
Your responsibilities will include:
-
Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow
-
Collaborating with AI/ML teams to support data readiness for experimentation and inference
-
Writing clean, modular SQL and Python code for use in Databricks
-
Contributing to architectural decisions around pipeline scalability and performance
-
Supporting the integration of diverse data sources into the platform
-
Ensuring data quality, observability, and cost-efficiency
KEY SKILLS AND REQUIREMENTS
-
Strong experience with DBT, Airflow, and Databricks
-
Advanced SQL and solid Python scripting skills
-
Solid understanding of modern data engineering best practices
-
Ability to work independently and communicate with technical and non-technical stakeholders
-
Experience in fast-paced, data-driven environments
DESIRABLE SKILLS
-
Exposure to LLM workflows or vector databases
-
Experience in the media, content, or publishing industries
-
Familiarity with cloud data platforms (e.g., AWS or Azure)
-
Knowledge of MLOps and ML/data science pipelines
HOW TO APPLY
To register your interest, please apply via the link or get in touch with your CV.
To Apply for this Job Click Here
Lead MLOps Engineer
New York
$140000 - $160000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Lead MLOps Engineer
$140,000-$160,000 + bonus + RSUs
Legal-tech
Remote
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a model deployment-focused role-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of experience working with ML systems (Python)
- Experience with ModelOps / MLOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
HOW TO APPLY
Please register your interest by sending your résumé to Cassie Wandell 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 | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Manager, MLOPS – NLP Focus
Ann Arbor
$160000 - $190000
+ Data Science & AI
PermanentAnn Arbor, Michigan
To Apply for this Job Click Here
Manager, MLOps Engineering
$170,000-$190,000 + bonus + RSUs
Legal-tech
Hybrid – Ann Arbor, Michigan
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of team management experience working with ML systems (Python)
- Experience with ModelOps / MLOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
- People management of teams greater than 5
HOW TO APPLY
Please register your interest by sending your résumé to Cassie Wandell 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 | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Manager, MLOps Engineering
Minneapolis
$170000 - $190000
+ Data Science & AI
PermanentMinneapolis, Minnesota
To Apply for this Job Click Here
Manager, MLOps Engineering
$170,000-$190,000 + bonus + RSUs
Legal-tech
Hybrid – Minneapolis, Minnesota
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a player/coach position, focusing on model deployment-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead a team of MLOps engineers on experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of team management experience working with ML systems (Python)
- Experience with ModelOps / MLOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
- People management of teams greater than 5
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 | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Lead MLOps Engineer
Toronto
$140000 - $160000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Lead MLOps Engineer
$140,000-$160,000 + bonus + RSUs
Legal-tech
Remote
About the Organization
Join a global company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, ML, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a model deployment-focused role-ideal for someone with a strong foundation in software engineering and a passion for making machine learning work in the real world. You’ll lead experiments, iterate on PoCs, and help define how ML models are deployed, scaled, and maintained in production environments.
What You’ll Bring
- 7+ years of software engineering experience in production environments
- 2+ years of experience working with ML systems (Python)
- Experience with ModelOps / MLOps workflows
- Background in:
- NLP: Named Entity Recognition / NER, information extraction, and information retrieval
- Numpy, Pandas, and scalable data handling
- Cloud environments (provider-agnostic)
- CI/CD pipelines, GitFlow, and Agile development
- Logging, alerting, testing, and autoscaling systems
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
Preferred Experience
- Technical leadership on ML products
- Experience delivering LLM-based solutions
- Engineering management experience, including mentoring or leading cross-functional teams
- Familiarity with all stages of the AI product lifecycle
- Startup or fast-paced innovation environment experience
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 | Containerization | PyTorch | Python | Deployment | Deploying | MLFlow | Kubernetes | Kubeflow | ModelOps | NLP | Natural Language Processing | GitFlow | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
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Un recruteur qui parle de préparation d’entretien ? Oui, encore un discours sur l’importance de se préparer,…
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 – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – 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
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 – 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.
