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Lead Data Scientist

City of London

£100000 - £120000

+ Data Science

Permanent
City of London, London

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

Lead Data Scientist

City of London

£100000 - £120000

+ Data Science

Permanent
City of London, London

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

Senior Machine Learning Engineer

$160000 - $180000

+ Data Science

Permanent
United States Virgin Island

To Apply for this Job Click Here

Senior Machine Learning Engineer

Manufacturing/Safety

Remote – Texas, Colorado, Utah, Arizona, Nevada, Idaho, Montana, California, Washington, Oregon, New Mexico, Wyoming

$160,000k-$180,000k base + Benefits

If you’re a seasoned professional in Machine Learning and Computer Vision, we have an exciting opportunity tailored just for you. Join a dynamic startup on the lookout for a skilled and knowledgeable Machine Learning Engineer to be part of their team. As a pivotal member, you’ll be instrumental in propelling forward their state-of-the-art deep-learning vision system. Engineered for the real-time evaluation of high-performance rope health, this system is set to transform automated product inspection technology, bolstering safety across industries reliant on synthetic rope.

THE ROLE:

As a Senior MLE, you will:

  • Develop and refine Machine Learning models
  • Build and maintain automated pipelines for generating models using both internal and external data
  • Have hands-on involvement in rope scanning, sorting, labeling, and metric creation for model deployment
  • Collaborate closely with the Head of AI/ML and CTO on various projects
  • Oversee and manage data labeling processes
  • Identify and address false negatives and positives in collaboration with the team
  • Take ownership of efficiently scaling small processes
  • Be the first IC Engineering hire, reporting directly to the Head of AI/ML

SKILLS AND EXPERIENCE:

The successful Senior MLE will have the following skills and experience:

  • Background in Computer Vision and Machine Learning
  • Hands-on experience in AWS environments
  • Strong problem-solving skills and a self-starter mentality
  • Preferred background in mathematics
  • Experience deploying models into production
  • Proficiency in Image Classification, Image Regression, Object Classification, and Object Tracking
  • Optimistic attitude
  • Proficient in tools such as Python, TensorFlow, Deep Learning, Neural Nets, Docker, Pytorch, AWS, Airflow, Nifi

BENEFITS:

A competitive base salary of $160,000-$180,000+ benefits

HOW TO APPLY Please register your interest by sending your Resume to Emma Spagnola via the Apply link on this page or at

To Apply for this Job Click Here

Senior Product Manager

New York

$160000 - $190000

+ Data Science

Permanent
New 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

Analytics Engineer

Houston

$120000 - $160000

+ Data Science

Permanent
Houston, Texas

To Apply for this Job Click Here

THE ROLE

– Collaborate with high-level leaders throughout the organization to grasp the challenges faced by the business

– Take responsibility for AI and machine learning solutions, and guide users on the most effective methods

– Conduct tasks related to presenting data visually to offer valuable information to the business

– Engage in the creation and refinement of automation strategies

– Utilize advanced technology, such as enhancing artificial lift processes or extracting valuable information from textual data

SKILLS AND EXPERIENCE

– A Bachelor’s or Master’s degree in computer science, electrical engineering, or a closely related area of study

– Proficiency in Python, PyTorch, SQL, and Git

-Experience with cloud technologies like AWS or GCP is a huge bonus

– Competency in deep learning, natural language processing (NLP), computer vision, or time series modeling, etc.

– Previous exposure to speech recognition and sentiment analysis projects is a plus

– Exceptional aptitude for tackling complex problems and a keen eye for details

– Proficient communication skills and an ability to collaborate effectively within a team

BENEFITS

$120,000 – $160,000 Base Salary + Bonus + Benefits

To Apply for this Job Click Here

Applied AI/ML Engineer

San Francisco

$180000 - $210000

+ Data Science

Permanent
San Francisco, California

To Apply for this Job Click Here

APPLIED AI/ML ENGINEER – REMOTE ROLE

THE COMPANY

This company is the top leader in California for manufacturing robotic-assisted surgery systems. With a heavy focus on engineering, this intuitive company uses unique and complex data to design, manufacture, build, and assemble these robots.

THE ROLE

You will be the key player in introducing Generative AI and Machine Learning solutions into Enterprise Analytics. You will be using cutting edge technologies to revolutionize this company’s operations, provide valuable insights, and foster innovation, shaping the future of their organization.

You will be responsible for discovering, testing, and implementing scalable and cost-efficient AI/ML solutions across various teams supported by Enterprise Analytics. You will maintain, troubleshoot, and optimize AI models, as well as build business applications based on these models, thus significantly enhancing this organization’s analytical capabilities.

You will also communicate and work alongside business stakeholders, IT partners, enterprise data architects, data engineering, and external service providers to ensure that the newly introduced capabilities align with the business needs and facilitate its growth.

RESPONSIBILITIES

As an Applied AI/ML Engineer, you can expect to do the following:

  • Develop and manage the infrastructure to integrate and customize third-party AI NLP and/or Computer Vision models into the company’s technology stack
  • Address any integration issues and ensure the seamless operation of the integrated models.
  • Work with stakeholders to comprehend functional requirements and fine-tune or train AI models to enhance their performance on specific tasks
  • Build end-to-end MLOps pipelines
  • Maintain, troubleshoot, and optimize ML/AI models in production environment, monitor models’ performance
  • Build business applications on top of AI models
  • Work cross functionally with engineering team to develop and deploy ML solutions

YOUR SKILLS AND EXPERIENCE

In order to apply, you must have the following:

  • Bachelors or Masters in Computer Science, Mathematics, Data Science, or another related field
  • 5+ years of industry experience
  • Understanding of LLMs/Generative AI models
  • Experience deploying ML models into production
  • Python, PyTorch, Tensorflow
  • Hugging Face, Lang Chain, or other open source LLM/CV models and platforms

THE BENEFITS

As an Applied AI/ML Engineer, you can expect a salary between $180,000-210,000 (based on experience) plus competitive benefits.

Please register your interest by sending your CV to Mikayla Memoracion via the Apply link on this page.

To Apply for this Job Click Here

Senior AI/ML Engineer

Sunnyvale

$18500 - $225000

+ Data Science

Permanent
Sunnyvale, California

To Apply for this Job Click Here

SENIOR AI/ML ENGINEER

HYBRID – SAN FRANCISCO BAY AREA

$185,000 – $225,000 + BENEFITS

THE COMPANY

  • COMPANY: A robotic-assisted surgical company changing the non-invasive care space as we know it.
  • TEAM: This position offers the opportunity to join a strong team of machine learning/AI engineers.
  • CULTURE: Casual work environment along with a diverse and inclusive culture.

THE ROLE

As a Senior AI/ML Engineer, you will,

  • Build a scalable and extensive ML inference platform that can support multiple forms of data and support the scalability of models
  • Build business apps on top of AI models
  • Provide mentorship to more junior members of the team
  • Work with data scientists and product engineers to containerize models into a standardized form
  • Solving issues around model integration

YOUR SKILLS AND EXPERIENCE

  • 5+ years of full-time industry experience focused in the ML space
  • MSc in CompSci, Data Science or relevant field
  • Experience in building machine learning / AI systems
  • Experience working with time series data or computer vision models is a plus
  • Tools: Python, PyTorch, Spark, Docker, Kubernetes

THE BENEFITS

For this role, you can expect a base salary between $18500 to $225,000 (based on experience) plus competitive benefits.

To Apply for this Job Click Here

Generative AI Engineer

New York City

$70 - $100

+ Data Science

Contract
New York

To Apply for this Job Click Here

GenAI/Prompt Engineer
Fully Remote
3-Month Contract
20-40/hr per week
$70-$100/hr

If you are passionate about AI, GenAI, and enjoy hands-on development in a collaborative environment, we invite you to apply for this exciting opportunity. Join us in shaping the future of AI applications within a dynamic and innovative team

THE COMPANY

We are working with a renowned consulting agency that is looking to complete a few Gen AI and prompting projects for their clients. The organization is backed by a team of experts in AWS cloud operations and are excited to bring in experts in AI!

THE ROLE

* Develop and maintain a Knowledge Base platform on AWS, with a focus on GenAI and prompting techniques.

* Utilize common models, including 7db, for stable defusion in the development process.

* Implement GenAI chat bots, integrating them with a streamlit front-end for a user-friendly experience

YOUR SKILLS AND EXPERIENCE

A successful GenAI Engineer within this role will likely have the following skills and experience:

  • Solid hands-on experience in Python coding
  • Background in AWS with a strong understanding of cloud-based architectures
  • Familiarity with GenAI chat bots and the ability to implement them effectively
  • True NLP (Natural Language Processing) experience or a strong background in data science
  • Demonstrated ability to apply existing models to real-world applications; not looking for model training but rather application usage
  • Experience in collaborating on small POCs (Proof of Concepts) with software developers.
  • Comfortable working in an agile environment, using tools such as Slack and Jira for effective communication and project management.

To Apply for this Job Click Here

Staff MLOps Engineer

San Francisco

$200000 - $300000

+ Data Science

Permanent
San Francisco, California

To Apply for this Job Click Here

THE COMPANY

  • COMPANY: An exciting start-up currently reshaping the AI/Semiconductor market
  • TEAM: This position offers the opportunity to join a strong team of 5 machine learning engineers and 3 MLOps engineers
  • CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work-from-home policy

THE ROLE

As a Staff MLOps Engineer, you will,

  • Build a scalable and extensive ML inference platform that can support multiple forms of data and support the scalability of models
  • Build feature stores and auto ML capabilities
  • Provide mentorship to more junior members of the team
  • Work with data scientists and product engineers to containerize models into a standardized form
  • Build tools to help monitor model performance

YOUR SKILLS AND EXPERIENCE

  • 7+ years of full-time industry experience focused in the ML space
  • A degree in computer science or a related field is highly preferred
  • Experience in building machine learning / AI systems
  • Experience working with time series data or computer vision models is a plus
  • Tools: Python, PyTorch, Spark, Docker, Kubernetes

THE BENEFITS

For this role, you can expect a base salary between $200,000 to $230,000 (based on experience) plus competitive benefits.

To Apply for this Job Click Here

Senior Machine Learning Engineer – US SECURITY CLEARANCE

Washington DC

$180000 - $200000

+ Data Science

Permanent
District of Columbia

To Apply for this Job Click Here

Senior Machine Learning Engineer (MLOps)

180,000 – 200,000 base + equity + benefits

Fully Remote (US) – Must be able to travel 20%

Must be able to acquire a US Security Clearance

The Company:

Our fast-growing team is looking for a skilled, motivated and reliable Sr. Machine Learning Engineer to
help grow our company.

What you’ll do:
* Design and implement the capabilities of the AI Platform (Python, Jenkins, Docker/Kubernetes
environment).
* Improve scalability and performance of the platform through integration with big data
frameworks (Databricks, Snowflake, etc.).
* Improve the enterprise readiness of the platform, participate in architecture discussions, and
provide guidance to junior developers.

Your qualifications
* Degree in Computer Science, Computer Engineering, Mathematics, Statistics, Electrical Engineering, etc
* 3+ years of experience writing production-ready code in Python.
* 3+ years of experience writing production-ready code in Typescript.
* 3+ years of experience writing production-ready code in React and a React framework like NextJS
* 3+ years of experience with AWS or other cloud computing frameworks.
* 3+ years of experience with Git (or an alternative version control tool).
* 3+ years of experience with Docker and/or Kubernetes.
* 2+ years of experience with frontend state management solutions like Redux, Jotai, and React
Query
* A strong sense of ownership and accountability.
* Strong written and verbal communication skills in English.

Pluses
* Experience developing machine learning models and other data science techniques (and/or
working alongside people with this experience).
* Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
* Experience integrating applications with at least one of Spark, Dask, Snowpark, or Kafka.
* Experience with technologies like task schedulers (e.g., Celery, Airflow, Prefect, etc.) and web app development stacks (e.g., Flask/Django).
* Experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.).

You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain
and maintain the required level of clearance may result in the withdrawal of a job offer or removal

175,000 – 195,000 base + equity + benefits

To Apply for this Job Click Here

Staff AI Engineer

Palo Alto

$200000 - $230000

+ Data Science

Permanent
Palo Alto, California

To Apply for this Job Click Here

Staff AI Engineer – 9+ years required

$200,000 – $230,000 base salary + benefits

THE COMPANY

  • COMPANY: An automated industry startup looking to expand its US operation.
  • TEAM: Machine learning and data science are the core part of the company. Join a strong team of 5 machine learning engineers and 3 MLops engineers
  • CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work-from-home policy.

THE ROLE

As a Staff AI Engineer you will…

  • Build a scalable and extensive ML inference platform that can support multiple forms of data and support the scalability of models
  • Look into data management and transformation
  • Build feature stores and auto ML capabilities
  • Work with data scientists and product engineers to containerize models into a standardized form
  • Build tools to help monitor model performance

YOUR SKILLS AND EXPERIENCE

  • 9+ years of full-time industry experience working on machine learning pipelines
  • Experience in building machine learning / AI systems
  • An understanding of machine learning models and experience building the infrastructure
  • Degree in computer science or a related field
  • Experience working with time series data or computer vision models is a plus
  • Tools: Python, PyTorch, Spark, Docker, Kubernetes

THE BENEFITS

As a Staff AI Engineer, you can expect a base salary between $200,000 to $230,000 (based on experience) plus competitive benefits.

To Apply for this Job Click Here

Senior MLOps Engineer

London

£80000 - £90000

+ Data Science

Permanent
London

To Apply for this Job Click Here

Senior MLOps Engineer

London (Hybrid model)

up to £100,000

Are you passionate about machine learning operations and ready to take your career to the next level? We have an exciting opportunity for a Senior MLOps Engineer to join a dynamic team.

Company:

Harnham is working with a cutting-edge technology company focusing on the Telecom/Tech Space. They are dedicated to harnessing the power of artificial intelligence and machine learning to solve complex challenges across various problems.

Role:

As a Senior MLOps Engineer, you will play a pivotal role in our ML ecosystem. You will work alongside a talented team of data scientists, machine learning engineers, and software developers to ensure that our ML models are deployed, monitored, and maintained efficiently.

Responsibilities:

  • You will develop and maintain MLOps pipelines for model training, testing, and deployment.
  • You will collaborate with data scientists and engineers to create production-ready machine learning models.
  • You will implement and manage automated CI/CD pipelines for ML models.
  • You will build and maintain infrastructure for model monitoring, alerting, and performance optimization.
  • You will ensure the security and scalability of our ML systems.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Proven experience in MLOps, DevOps, or related roles.
  • Strong proficiency in ML frameworks, tools, and cloud platforms (e.g., TensorFlow, PyTorch, AWS, Azure, GCP).
  • Experience with containerization (Docker, Kubernetes) and orchestration.
  • Proficiency in version control systems (Git) and CI/CD pipelines.
  • Excellent problem-solving and troubleshooting skills.
  • Strong communication and collaboration abilities.
  • Passion for staying up-to-date with the latest developments in ML and AI.

What We Offer:

  • You will obtain a competitive salary and benefits package up to £90,000 basic + Benefits.
  • You will have the opportunity to work on cutting-edge AI and ML projects.
  • Flexible working

How to Apply:
To apply for this position, please send your resume to Luc Simpson-Kent

Keywords: MLOps, Machine Learning Engineering, Machine Learning Engineer, Python, MLFLow

To Apply for this Job Click Here

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