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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 |

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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

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

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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

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

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

To Apply for this Job Click Here

Quantitative Researcher

New York, New York

$180,000-200,000 base salary + bonus + benefits

Harnham is partnered with one of the top hedge funds in the NYC area. They are looking for an experienced Quantitative Researcher with a background in building machine learning, deep learning, and applied statistics models for quantitative applications. This person will sit in their Quant Research team and work on portfolio projects across the business.

THE ROLE

• You will build machine learning, deep learning, and applied statistics models aimed at improving investment strategy and trading
• You will analyze large datasets from a variety of alternative data sources i.e. mapping, geographic, location, advertising, search history and other real-world data
• Own development of new platforms for equity and macro products for use both nationally and internationally
• Run simulations to determine interesting companies for trading
• Work closely with internal stakeholders
• Help in mentoring a fast-growing team

YOUR SKILLS AND EXPERIENCE

The successful Quantitative Researcher will likely have the following skills and experience:

• 3-5 years of commercial experience building machine learning and deep learning models for quantitative applications
• Experience using Python for predictive modeling and data manipulation is preferred
• Commercial experience using machine learning, deep learning and Bayesian statistics
• Comfortable leading research projects
• Familiarity reinforcement learning and neural networks preferred
• History of partnering with non-technical stakeholders in different departments
• MS or PhD degree in Computer Science, Statistics, Operations Research, Financial Engineering or similar field preferred

THE BENEFITS

A competitive base salary of $180,000-200,000 + bonus + benefits

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | Data Science | Deep Learning | Research | Technology | Investment | Hedge Fund | Artificial Intelligence | Financial Services | Quantitative Research | Quant | Alpha | Trading

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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

To Apply for this Job Click Here

DATA SCIENTIST

HYBRID

£70,000 – £80,000

COMPANY:

This global law firm are looking to continue the progress they are making in the AI and Data space. In particular, a lot of the work they are doing is focused on LLM’s and NLP.

They are seeking to add a new Data Scientist to their team to help their teams efforts to put data and AI at the forefront of what they do.

ROLE:

• Collaborate with their team to analyse datasets and uncover insights and trends.
• Present findings to both technical and non-technical stakeholders.
• Assist in building and refining machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs).
• Work with senior team members across departments.
• Understand project requirements and provide regular updates on progress.
• Address stakeholder concerns and maintain positive relationships.
• Identify opportunities for process improvement and automation in data science and analytics.

REQUIREMENTS:

• Strong communication skills, able to explain complex ideas clearly.
• Knowledge and experience in Large Language Models (LLMs)
• Ability to engage with stakeholders at different levels
• BSc or MSc in Data Science, Computer Science, Statistics, or related field
• Familiarity with machine learning tools like scikit-learn and PyTorch.

NEXT STEPS:

If this role looks of interest, please reach out to Joseph Gregory

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD DATA SCIENTIST

HYBRID

£100,000 – £120,000

COMPANY:

This global law firm is seeking to add a new Lead Data Scientist to their team to spearhead their teams efforts to put data and AI at the forefront of what they do.

They are looking to use AI and LLM’s to improve efficiency and end user experience.

ROLE:

• Collaborate with our team to analyze large, intricate datasets to unearth valuable insights and trends.
• Present findings and technical concepts clearly to both technical and non-technical stakeholders through intuitive visualizations.
• Construct and optimize machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs), for various use cases.
• Engage and collaborate with senior stakeholders across different teams and departments.
• Understand stakeholder requirements and effectively communicate project progress, findings, and insights.
• Address stakeholder concerns promptly and maintain strong relationships to foster collaboration.
• Identify opportunities for process improvement, automation, and innovation within data science and analytics.

REQUIREMENTS:

• Excellent communication skills, capable of conveying complex concepts to diverse audiences.
• Proficient in stakeholder management, engaging effectively at various organizational levels.
• Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques.
• Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch.
• Experience with core NLP techniques and knowledge of LLMs is a plus.

NEXT STEPS:

If this role looks of interest, please reach out to Joseph Gregory

To Apply for this Job Click Here

To Apply for this Job Click Here

LEAD DATA SCIENTIST

HYBRID

£100,000 – £120,000

COMPANY:

This global law firm is seeking to add a new Lead Data Scientist to their team to spearhead their teams efforts to put data and AI at the forefront of what they do.

They are looking to use AI and LLM’s to improve efficiency and end user experience.

ROLE:

• Collaborate with our team to analyze large, intricate datasets to unearth valuable insights and trends.
• Present findings and technical concepts clearly to both technical and non-technical stakeholders through intuitive visualizations.
• Construct and optimize machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs), for various use cases.
• Engage and collaborate with senior stakeholders across different teams and departments.
• Understand stakeholder requirements and effectively communicate project progress, findings, and insights.
• Address stakeholder concerns promptly and maintain strong relationships to foster collaboration.
• Identify opportunities for process improvement, automation, and innovation within data science and analytics.

REQUIREMENTS:

• Excellent communication skills, capable of conveying complex concepts to diverse audiences.
• Proficient in stakeholder management, engaging effectively at various organizational levels.
• Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience as a Data Scientist, adept at statistical modeling, machine learning, and data mining techniques.
• Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch.
• Experience with core NLP techniques and knowledge of LLMs is a plus.

NEXT STEPS:

If this role looks of interest, please reach out to Joseph Gregory

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL DATA SCIENTIST (Senior Level)

Up to £120 000

LONDON

Are you looking to propel your career to new heights? Do you want to learn from the best and develop your skills as a data scientist? If the answer is yes, then look no further as the following role has everything you would want as a Senior Data Scientist!

The Company:

As a Senior Data Scientist, you will be working with experienced Data Scientists and Data Engineers to deliver and create models of impact. You will be exposed to the latest technologies and you will be given the opportunity to be part of an ever-growing industry. The objective is to become the biggest digital establishment worldwide in providing services based on Machine Learning models.

Role:

Your day-to-day responsibilities will be as follows:

• Deploying Data Science projects straight onto the market.
• You will be building Machine Learning algorithms and models to create new data products and services using Python.
• You will be coding and testing new algorithms for prototype and production applications using Python libraries (TensorFlow and Keras).
• You will be translating data into meaningful insights using Python.
• Take the lead in the interaction with customers and stakeholders to showcase the project.

Your Skills and Experience:

• Educated to a MSc or PhD level in Stem subject.
• Proven Knowledge in the implementation of Machine Learning and clustering techniques.
• Strong commercial experience with Python and Visualisation and a proficient knowledge of Python, R and Scala.
• Previous commercial exposure to tools such as Keras, TensorFlow, Python.
• Excellent communication skills and team and colleague engagement.

Benefits:

• £100,000 – £120,000 Competitive Salary.
• Outstanding career progression.
• Flexible working.

How to Apply

Please 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