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MLOps Product Manger
New York City, New York
$160000 - $190000
+ Data Science
PermanentNew York
To Apply for this Job Click Here
Senior Product Manager
Machine Learning
Remote, East Coast Time Zone
$160,000k-$190,000k base + strong benefits
A cutting-edge machine-learning platform company is in search of a dynamic Senior Product Manager to spearhead the advancement of their MLOps platform. Their platform empowers organizations to effortlessly monitor, compare, elucidate, and optimize machine learning models throughout their entire lifecycle, revolutionizing industry standards.
The Role
As a MLOps Product Manager, you will:
- Define and articulate clear product requirements, goals, performance indicators, and milestones to guide the product development process.
- Work closely with other teams to ensure the seamless delivery of the product roadmap, fostering collaboration with top-tier engineering and design teams.
- Lead and drive the product development process, collaborating with engineering and design teams to ensure the successful execution of product initiatives.
- Analyze and disseminate user data and feedback across the team to track the impact of product changes and enhancements.
- Integrate market analysis, research findings, and usability studies into product requirements, ensuring that the product meets market needs and user expectations.
- Effectively communicate product plans, benefits, and results to internal stakeholders, ensuring alignment and understanding across the organization.
- Monitor and measure the performance of launched products, leveraging insights to shape the product roadmap for continuous improvement and innovation.
Your Skills and Experience
The successful MLOps Product Manager will have the following skills and experience:
- 5 years of successful product management experience.
- A background in data science
- Experience working with ML/MLOps.
- Demonstrated success in delivering high-quality products, guiding the entire lifecycle from planning and launch through ongoing maintenance.
- Proficient in collaborating with engineers to influence the technical architecture of products.
- Strong communication skills to effectively convey product value and opportunities to diverse audiences, including engineering, marketing, sales, individual users, and B2B customers.
- Expertise in design and UX, complemented by experience in data product development or collaboration with Machine Learning teams.
- Familiarity with programming languages such as Java, React, Python, and proficiency in utilizing AWS and SQL.
The Benefits
A competitive base salary of $160,000-$190,000+ benefits
KEYWORDS
Data Science | Product Managment| MLOps | Machine Learning | start-up | Python |Platform| Software Engineering |
To Apply for this Job Click Here
Machine Learning Engineer – MLOps
Chicago
$130000 - $150000
+ Data Science
PermanentChicago, Illinois
To Apply for this Job Click Here
AI/Machine Learning Engineer
$130,000-$150,000
Hybrid (Chicago, Illinois)
THE COMPANY
Harnham is partnered with a leading technology firm that is introducing automation to the construction sector. The company uses computer vision and machine learning technology to analyze entire buildings: from full HVAC systems to solar panels to pavement. After analyzing this data, they use AI to analyze images and formulate repair plans for clients to estimate budgets resulting in millions of dollars saved.
THE ROLE
- Work alongside BE Engineers to create AI-driven services and build new platform infrastructure
- Build machine learning models and put them into deployment to support new and existing platforms
- Utilize computer vision technology to build end-to-end models
- Report directly to the Head of Artificial Intelligence, opportunities for growth
YOUR SKILLS AND EXPERIENCE
- 2+ Commercial experience preferred with Machine Learning models
- Bachelor’s or Master’s degree in Computer Vision, Computer Science or Electrical Engineering
- Preferred experience in a start-up environment
- Technical proficiency is required in Python (TensorFlow, PyTorch, Keras), Django, Flask, AWS, Docker, Kubernetes, Terraform, Github, MLFlow, and PostgreSQL.
- Proven experience deploying machine learning models into production
- Preferred if the candidate has worked previously with geographical, aerial or satellite imagery data
BENEFITS
As an AI/Machine Learning Engineer, you can expect to earn up to $150,000 (depending on experience) and highly competitive benefits.
HOW TO APPLY
Please register your interest by sending your Resume to Grace McCarthy via the Apply link on this page
KEYWORDS
Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Django | MLOps | Computer Vision | Imaging | Python | GIS | Location Data | Aerial Data |
To Apply for this Job Click Here
Senior Product Manager
New York
$160000 - $190000
+ Data Science
PermanentNew York
To Apply for this Job Click Here
Senior Product Manager
Machine Learning
Remote, East Coast
$160,000k-$190,000k base + extremely strong benefits
A cutting-edge machine-learning platform company is in search of a dynamic Senior Product Manager to spearhead the advancement of their MLOps platform. Their platform empowers organizations to effortlessly monitor, compare, elucidate, and optimize machine learning models throughout their entire lifecycle, revolutionizing industry standards.
The Role
As a Senior Product Manager, you will:
- Define and articulate clear product requirements, goals, performance indicators, and milestones to guide the product development process.
- Work closely with other teams to ensure the seamless delivery of the product roadmap, fostering collaboration with top-tier engineering and design teams.
- Lead and drive the product development process, collaborating with engineering and design teams to ensure the successful execution of product initiatives.
- Analyze and disseminate user data and feedback across the team to track the impact of product changes and enhancements.
- Integrate market analysis, research findings, and usability studies into product requirements, ensuring that the product meets market needs and user expectations.
- Effectively communicate product plans, benefits, and results to internal stakeholders, ensuring alignment and understanding across the organization.
- Monitor and measure the performance of launched products, leveraging insights to shape the product roadmap for continuous improvement and innovation.
Your Skills and Experience
The successful Senior Product Manager will have the following skills and experience:
- Minimum of 5 years of successful product management experience.
- A background in data science and a history of working in smaller organizations
- Experience woking with ML/MLOps
- Demonstrated success in delivering high-quality products, guiding the entire lifecycle from planning and launch through ongoing maintenance.
- Proficient in collaborating with engineers to influence the technical architecture of products.
- Strong communication skills to effectively convey product value and opportunities to diverse audiences, including engineering, marketing, sales, individual users, and B2B customers.
- Expertise in design and UX, complemented by experience in data product development or collaboration with Machine Learning teams.
- Familiarity with programming languages such as Java, React, Python, and proficiency in utilizing AWS and SQL.
The Benefits
A competitive base salary of $160,000-$190,000+ benefits
To Apply for this Job Click Here
Machine Learning Engineer
City of London
£70000 - £90000
+ Data Science
PermanentCity of London, London
To Apply for this Job Click Here
MACHINE LEARNING ENGINEER
REMOTE
£70,000 – £90,000
COMPANY:
We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses within the property and real estate industry.
They are looking for an experienced Machine Learning Engineer, with a background in fine tuning LLM’s to work at the forefront of the industry, as well as work closely with their clients.
ROLE:
- You will be involved in implementing and fine tuning LLM’s
- Designing, implementing and maintaining ML pipelines
- Define infrastructure requirements and architecture for Model Training and Inference
- Measure and review the performance of production models – Regularly conducting evaluation and tuning
- Collaborate closely with the software development team to deploy models into production
REQUIREMENTS:
- Strong experience of Python development.
- Experience with implementing Transformers, ideally with HuggingFace.
- Fine-tuned LLM’s.
- Experience deploying model, preferably on AWS.
- Experience writing AWS Lambda functions.
- Experience building applications in Langchain
- Experience implementing Retrieval Augmented Generation
NEXT STEPS:
If this role looks of interest, please reach out to Joseph Gregory.
To Apply for this Job Click Here
Machine Learning/LLM Engineer
London
£70000 - £90000
+ Data Science
PermanentLondon
To Apply for this Job Click Here
MACHINE LEARNING/LLM ENGINEER
REMOTE
£70,000 – £90,000
OVERVIEW:
We’re collaborating with a pioneering AI startup, dedicated to advancing AI and LLM solutions tailored for the property and real estate sector.
We’re seeking a seasoned Machine Learning Engineer with expertise in refining LLMs to join the team at the forefront of our field and engage closely with our clientele.
RESPONSIBILITIES:
- Implement and fine-tune LLMs using state-of-the-art techniques and methodologies
- Design, develop, and maintain ML pipelines with a focus on scalability and efficiency
- Define and implement infrastructure requirements and architecture for Model Training and Inference, leveraging cloud-based solutions
- Continuously measure and review the performance of production models, conducting rigorous evaluation and tuning to ensure optimal results
- Collaborate closely with the software development team to integrate and deploy models into production systems, ensuring seamless operation and performance optimization
REQUIREMENTS:
- Proficient in Python development
- Hands-on experience with Transformer implementation, preferably with HuggingFace
- Fine-tuning expertise with LLMs
- Previous experience deploying models, ideally on AWS
- Ability to script AWS Lambda functions
- Familiarity with Langchain application development
- Experience implementing Retrieval Augmented Generation
NEXT STEPS:
If this role looks of interest, please reach out to Joseph Gregory
To Apply for this Job Click Here
Senior Manager AI Architect Consultant
London
£90000 - £100000
+ Data Science
PermanentLondon
To Apply for this Job Click Here
Senior Manager AI Architect Consultant
Up to £100 000
LONDON (Hybrid)
The Role:
Work end-to-end as a Senior Manager AI Architect Consultant for a reputable Global Consultancy
Your day-to-day responsibilities will include:
- You will translate senior client stakeholders’ and architects’ vision into AI/ML/GenAI architectural strategy and implementation roadmap.
- You will collaborate with various teams including Enterprise, Application, Data & DevOps Architects, Data Scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
- You will be tasked to select appropriate technologies considering deployment models and integration with existing tools.
- Support agile execution and operational improvement of AI-powered applications.
- Work closely with security and risk leaders to anticipate and mitigate risks, ensuring ethical AI implementation and regulatory compliance.
- Assist project teams with technical review boards and design authority approvals, ensuring compliance with data privacy, security, and regulatory requirements.
- Develop and maintain client stakeholder relationships and contribute to proposal development.
- Manage diverse teams within an inclusive team culture, fostering recognition for contributions.
Your Skills and Experience:
- MSc or PhD level education in STEM subjects.
- Strong background in architecture and data science with expertise in AI/ML concepts and cloud-based implementations across multiple platforms.
- Proficient in architecting scalable, cost-optimized AI/ML solutions utilizing serverless technologies, container/Kubernetes deployments, and GPU compute infrastructure.
- Hands-on experience with advanced AI architectures, deep learning frameworks, and MLOps capabilities for robust model deployments.
- Skilled in developing and integrating APIs to serve ML models and building end-to-end solutions integrated with enterprise systems.
- Excellent communication and stakeholder management skills, capable of presenting architectural designs, leading technical programs, and contributing to go-to-market activities.
Benefits:
- Competitive salary up to £100 000
- Outstanding career progression opportunities.
- Flexible working arrangements.
How to Apply:
Register your interest by sending your CV to Luc Simpson-Kent via the Apply link on this page.
To Apply for this Job Click Here
Machine Learning Engineer
City of London
£70000 - £90000
+ Data Science
PermanentCity of London, London
To Apply for this Job Click Here
MACHINE LEARNING ENGINEER
REMOTE
£70,000 – £90,000
COMPANY:
We have partnered with an AI based startup, who are focused on developing the latest AI and LLM solutions for businesses within the property and real estate industry.
They are looking for an experienced Machine Learning Engineer, with a background in fine tuning LLM’s to work at the forefront of the industry, as well as work closely with their clients.
ROLE:
- You will be involved in implementing and fine tuning LLM’s
- Designing, implementing and maintaining ML pipelines
- Define infrastructure requirements and architecture for Model Training and Inference
- Measure and review the performance of production models – Regularly conducting evaluation and tuning
- Collaborate closely with the software development team to deploy models into production
REQUIREMENTS:
- Strong experience of Python development.
- Experience with implementing Transformers, ideally with HuggingFace.
- Fine-tuned LLM’s.
- Experience deploying model, preferably on AWS.
- Experience writing AWS Lambda functions.
- Experience building applications in Langchain
- Experience implementing Retrieval Augmented Generation
NEXT STEPS:
If this role looks of interest, please reach out to Joseph Gregory.
To Apply for this Job Click Here
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