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 MLOps Engineer
New York
$80 - $100
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Senior MLOps Engineer
Fully Remote
6-Month Contract
$80-$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
Lead MLOps Engineer
Houston
$180000 - $230000
+ Data Engineering
PermanentHouston, Texas
To Apply for this Job Click Here
Lead MLOps Engineer
Houston (4 days a week in the office – 1 from home)
up to $230,000 + 20% Bonus
Company:
As a Lead ML Ops Engineer, you will drive the adoption of DevOps and ML Ops practices to deliver AI/ML solutions across the company. You will be working with diverse teams, you’ll deploy, maintain, and integrate advanced analytics solutions into business operations, leveraging expertise in DevOps, ML Ops, Infra Ops, and cloud-based AI/ML services.
Role:
- Enhance and maintain CI/CD pipelines to streamline AI/ML application development, deployment, and SLA adherence on centralized platforms.
- Design, develop, and manage scalable and secure infrastructure using Infrastructure-as-Code tools like Terraform, Ansible, and CloudFormation.
- Templatize Databricks CLI code to optimize AI/ML pipelines for batch processing, streaming, and model serving.
- Collaborate with cross-functional teams to ensure applications meet performance, scalability, and compliance requirements.
- Implement best practices for cloud security, cost optimization, and DevOps processes to improve the AI/ML application lifecycle.
Requirements:
- You have a MSc or PhD level in Stem subject.
- Expertise in code versioning tools like GitHub, GitLab, or Azure DevOps, with proficiency in GitHub Actions for automating CI/CD workflows.
- Strong experience deploying AI/ML solutions on cloud platforms like AWS, Azure, or GCP; Databricks preferred.
- Skilled in infrastructure automation tools such as Terraform, Ansible, and CloudFormation.
- Proficient with data processing tools like Databricks, Apache Spark, and Kafka for batch and streaming pipelines.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Knowledge of event-driven and microservices architectures for enterprise platforms.
- Strong Linux expertise, with understanding of networking, security concepts, and effective communication and mentoring skills.
Salary and Benefits
- $180,000 – $230,000 base salary
- Bonus up to 20%
How to Apply
Please register your interest by sending your CV via the Apply link on this page.
To Apply for this Job Click Here
Staff Data Scientist
London
£85000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Staff Data Scientist
Up to £95,000
London (Hybrid/Remote)
Company:
This Software scale-up enables researchers across academia to collect high-quality human-powered data at scale enabling. They are utilising the latest advancements across Gen AI and LLMs to make it quicker and easier to secure data from a diverse global community.
Responsibilities:
- Lead the conceptualization and planning of data science initiatives that align with and drive key business objectives.
- Spearhead the development and implementation of sophisticated data models and algorithms, diving into hands-on coding for the most critical components
- Guide the technical direction of the team through thoughtful code reviews and targeted mentorship, fostering a culture of excellence and continuous improvement.
- Collaborate closely with product managers to identify opportunities where data science can drive product innovation and user value.
- Partner with data engineers to enhance data pipelines, logging systems, and MLOps practices, creating a robust foundation for advanced analytics and modelling.
Requirements:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Have a track record of successfully leading complex data science initiatives that deliver tangible business value.
How to Apply:
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
Keywords:
Machine Learning, Data Science, Survey, Analytics, Search, Ranking, MLOps, Data Scientist, LLMs, Large Language Models
To Apply for this Job Click Here
Senior MLops Engineer
$75 - $95
+ Data Science & AI
ContractUSA
To Apply for this Job Click Here
Are you looking to advance your MLOps career in an innovative and AI driven healthcare company? Apply below!
THE COMPANY
We are currently partnered with one of the largest healthcare systems in the U.S. – they are disrupting the healthcare field by innovating and advancing ML/AI through their systems to directly impact patients and hospitals.
THE ROLE
- Responsible for design and development of production grade Machine Learning solutions. Help set ML engineering standards (development stack, sample starter projects, etc.)
- 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 solutions
- Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency
- Evaluate and optimize model prototypes for real-world performance
YOUR SKILLS AND EXPERIENCE
A successful MLOps Engineer within this role will likely have the following skills and experience:
- Bachelor’s degree in Business Administration, Computer Science, Data Systems or Data Engineering preferred
- 5+ years of experience in Lead Software Engineering position with at least 3-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
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.
To Apply for this Job Click Here
Senior Machine Learning Engineer (REMOTE)
$101000 - $200000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Senior Machine Learning Engineer
Remote (East or Central Time Zones)
$175,000 – $200,000 + Bonus
Company:
The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience.
They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models.
Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment.
Role:
- Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions.
- Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics.
- Deploy models in production, ensuring scalability and reliability with the engineering teams.
- Monitor and optimize models, proactively addressing performance issues.
- Stay updated on the latest ML research and technologies to enhance model effectiveness.
- Document processes and share insights to promote team collaboration and knowledge sharing.
Requirements:
- You need to have a MSc or PhD level in Stem subject.
- You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
- DevOps experience in CI/CD.
- Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
- Experience using Python is a must (tools like AWS and Spark are beneficial)
- Excellent communication skills and team and colleague engagement.
- A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems
Salary and Benefits
- $170,000 – $200,000 base salary
- Bonus
- Remote work flexibility for East or Central Time Zones.
How to Apply
Please register your interest by sending your CV via the Apply link on this page.
Desired Skills and Experience
Machine learning engineering, MLOps
To Apply for this Job Click Here
Senior Machine Learning Engineer
Ann Arbor
$175000 - $200000
+ Data Science & AI
PermanentAnn Arbor, Michigan
To Apply for this Job Click Here
Senior Machine Learning Engineer
Ann Arbor
$175,000 – $200,000 + Bonus
Company:
The company builds advertising marketplaces that allow publishers to monetize their inventory while helping advertisers achieve their performance goals, with a focus on enhancing the customer experience.
They are seeking a talented Machine Learning Engineer to join their Data Science team, where the engineer will play a key role in developing and deploying scalable, innovative models.
Success in this role requires experience deploying complex models in high-throughput, low-latency environments, a solid foundation in ML algorithms, and a passion for delivering measurable results in a fast-paced environment.
Role:
- Collaborate with data scientists, engineers, and stakeholders to translate business goals into machine learning solutions.
- Develop and implement machine learning models for tasks like recommendation systems, NLP, and predictive analytics.
- Deploy models in production, ensuring scalability and reliability with the engineering teams.
- Monitor and optimize models, proactively addressing performance issues.
- Stay updated on the latest ML research and technologies to enhance model effectiveness.
- Document processes and share insights to promote team collaboration and knowledge sharing.
Requirements:
- You need to have a MSc or PhD level in Stem subject.
- You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist.
- DevOps experience in CI/CD.
- Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow.
- Experience using Python is a must (tools like AWS and Spark are beneficial)
- Excellent communication skills and team and colleague engagement.
- A keen interest in problem-solving and using scalable machine learning to solve the biggest data-related problems
Salary and Benefits
- $170,000 – $200,000 base salary
- Bonus
How to Apply
Please register your interest by sending your CV via the Apply link on this page.
Desired Skills and Experience
Machine learning engineering, MLOps
To Apply for this Job Click Here
Data Science Lead
Manchester
£90000 - £100000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Data Science Lead
Remote (UK)
Up to £100,000
Harnham are currently partnering with a leading telecommunications business hiring for a Data Science Lead.
The Role
As a Data Science Lead, you will be:
- Lead the technical vision and delivery of ML/AI initiatives across the business.
- Design and oversee end-to-end ML solutions, from experimentation through to product deployment.
- Drive adoption of MLOps best practices working closely with Engineering Leads.
- Build and develop a team of Data Scientists and ML Engineers.
- Provide strategic leadership on DS/ML capabilities and opportunities.
Skills & Experience
- Python coding
- Strong SQL skills
- Experience with AB testing
- Familiarity with CI/CD pipelines
- Track record of leading data science projects and teams.
How to Apply
Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.
To Apply for this Job Click Here
Lead Data Scientist
Manchester
£80000 - £95000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
We are working with a leading product company who are looking for a Lead Data Scientist to provide strategic and technical leadership for a team of data scientists. The individual will lead the technical vision and delivery of ML/AI initiatives and identify solutions that address business challenges.
Responsibilities:
- Lead a team of Data Scientists
- Design and oversee ML solutions
- Drive MLOps best practices
- Build and recruit a team
- Provide strategic leadership
- Communicate with stakeholders on complex data findings
Requirements:
- Leadership / Management experience
- Strong understanding of MLOps
- 5+ years Data Science + ML Ops experience
- Docker, Kubernetes, Terraform
- CI/CD, DevOps
- Python, R and SQL
- Excellent communication skills to collaborate with non-technical stakeholders
To Apply for this Job Click Here
Programme Manager (Data & AI)
London
£100000 - £120000
+ Advance Analytics & Mrktg Insight
PermanentLondon
To Apply for this Job Click Here
Programme Manager (Data & AI)
Up to £120,000
Hybrid – London
A great opportunity to join a leading law firm as a Programme Manager in the Data & AI space
THE COMPANY
The business are a leading law firm with offices across the globe, providing legal solutions to businesses worldwide.
And they are seeking to hire a Programme Manager to support the wider team in establishing and leading on portfolio oversight over Data & AI initiatives across the business.
THE ROLE AND RESPONSIBILITIES
- Define an overall approach to data and AI business change
- Develop portfolio approach integrate, assurance and oversight of all Data & AI programmes
- Programme manage key Data & AI projects
- Develop tracking and monitoring of key Data & AI projects
- Manage technical delivery of AI projects
- Work with teams across the business to deliver Data & AI products
YOUR SKILLS AND EXPERIENCE
- Proven track record running Data & AI programs
- Expertise in agile ways of working, waterfall, plans, delivery and execution
- Experience managing technical teams (MLOps, Engineering etc.)
- Exposure to engineering/coding
- Strong stakeholder management skills
THE BENEFITS
- Up to £120,000 + benefits
- Hybrid
- London
HOW TO APPLY
If interested in this role please send your CV to Jordan Victor via the Apply Link below
To Apply for this Job Click Here
Director if Infrastructure
New York
$190000 - $230000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
DIRECTOR, INFRASTRUCTURE
ADTECH
NEW YORK, NY (Hybrid)
$190,000 – $230,000
THE COMPANY
We are working with an innovative AdTech company that works in real-time ad buying and targeting. They are extremely data-driven and growing like crazy. The nature of their business requires them to operate quickly and have constant uptime. They are looking for a Director of Infrastructure to play a pivotal role in this.
THE ROLE – Director of Infrastructure
The company is looking for someone who can manage and scale its platform, optimize cloud resources, and adopt new technologies to keep pace with its high-volume environment. Other responsibilities include:
- Lead DevOps/platform architects and production engineers
- Lead the data platform roadmap
- Manage cloud infrastructure (AWS, with exposure to Azure and GCP) and optimize costs
- Collaborate with stakeholders to review dashboards and provide key insights
- Drive the integration of new technologies and ensure high availability in a big data environment
- Build and manager microservice architecture, CI/CD pipelines, and automation toolings
SKILLS AND EXPERIENCE
- Experienced developing and managing data platforms and coinciding infrastructure
- Proficient with Kubernetes, Docker, and AWS
- Proven experience with DevOps, Python, and microservices architecture
- Hands-on experience with CI/CD pipelines
- Experience managing small teams while managing small teams
- MLOps experience is a huge bonus
BENEFITS
As Director of Infrastructure will receive a base salary of $190,000 – $230,000 (depending on experience) as well as a bonus. Other benefits include health, dental, vision, 401k.
HOW TO APPLY
Please register your interest by sending your resume to Daniel Macdonald via the Apply link on this page.
KEYWORDS
Director, Infrastructure, Kubernetes, Docker, AWS, GCP, Azure, DevOps, Python, Microservices, CI/CD, Airflow, Big Data, AdTech, Cloud Infrastructure, Distributed Systems, Containers
To Apply for this Job Click Here
Senior MLOps Engineer
New York City
$80 - $100
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Senior MLOps Engineer
Fully Remote
6-Month Contract to Hire
$80-$100/hr
Are you looking to advance your MLOps career in an innovative and AI driven healthcare company? Apply below!
THE COMPANY
We are currently partnered with one of the largest healthcare systems in the U.S. – they are disrupting the healthcare field by innovating and advancing ML/AI through their systems to directly impact patients and hospitals.
THE ROLE
- Responsible for design and development of production grade Machine Learning solutions. Help set ML engineering standards (development stack, sample starter projects, etc.)
- 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 solutions
- Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency
- Evaluate and optimize model prototypes for real-world performance
YOUR SKILLS AND EXPERIENCE
A successful MLOps Engineer within this role will likely have the following skills and experience:
- Bachelor’s degree in Business Administration, Computer Science, Data Systems or Data Engineering preferred
- 5+ years of experience in Lead Software Engineering position with at least 3-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
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.
To Apply for this Job Click Here
Data and AI Programme Manager
City of London
£100000 - £120000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Programme Manager (Data & AI)
Up to £120,000
Hybrid – London (2-3 days a week)
A great opportunity to join a leading professional services firm as a Programme Manager in the Data & AI space
THE COMPANY
The business are a leading law firm with offices across the globe, providing legal solutions to businesses worldwide.
And they are seeking to hire a Programme Manager to support the wider team in establishing and leading on portfolio oversight over Data & AI initiatives across the business.
THE ROLE AND RESPONSIBILITIES
- Define an overall approach to data and AI business change
- Develop portfolio approach integrate, assurance and oversight of all Data & AI programmes
- Programme managing key Data & AI projects (Analytics, LLMs and GenAI)
- Develop tracking and monitoring of key Data & AI projects
- Manage technical delivery of AI projects
- Work with teams across the business to deliver Data & AI products
YOUR SKILLS AND EXPERIENCE
- Proven track record running Data & AI programs
- Expertise in agile ways of working, waterfall, plans, delivery and execution
- Experience managing technical teams (MLOps, Engineering etc.)
- Exposure to engineering/coding
- Strong stakeholder management skills
THE BENEFITS
Up to £120,000 + bonus/benefits
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 – 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
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 – 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 – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
