220.000 - 230.000 US-Dollar
+ Data Science
Permanent
California
Machine Learning Engineer
$220,000-230,000 + EQUITY + BENEFITS
remote control
I work with an ethical data tech startup that uses machine learning and AI for best practices. This groundbreaking company that has raised $12 million in funding (funny part: they didn't have to give up any shares in their company) is looking for an extremely talented machine learning engineer who enjoys working on platform and infrastructure problems.
THE COMPANY:
This new industry disruptor enables companies to create privacy recommendations and competitive behavioral technologies for Big Tech without using interpretable raw customer data. They have made their presence known and are expected to be in the top 3 companies for years to come!
THE PAPER:
- It will be the main contributor to machine learning infrastructure using petabytes of data.
- Machine learning feature engineering and machine learning platform building.
- Build, implement, and maintain machine learning infrastructure.
- Using and maximizing identity graphs.
- Creation and implementation of machine learning models and configuration of automatic post-production retraining.
- Iterating and experimenting with machine learning models.
- Creating and maintaining reliable forecasting services.
- Implementation of analytical pipelines to evaluate model results.
- Configure data and cloud environments to make data science more efficient.
- Design scalable data and machine learning pipelines.
YOUR SKILLS AND EXPERIENCES:
A successful candidate will have the following skills and experience:
- 6+ years of software development experience and knowledge of machine learning best practices.
- Experience building and implementing multiple deep learning models.
- Have worked in many aspects of machine learning and are an expert in one of the following areas: recommender systems, pattern recognition, NLP or AI.
- I have worked on machine learning infrastructure for larger platforms with lots of data.
- Previous experience working with public cloud security (aws, gcp, azure).
THE ADVANTAGES:
A competitive base salary of $220,000 - $230,000 + bonus + benefits
HOW TO APPLY:
Register your interest by sending your CV to Mark Doyle via the Apply link on this page.
80000€ - 110000€
+ Data and technology
Permanent
Amsterdam, North Holland
Machine Learning Engineer
80000€ bis 110000€
Amsterdam
NEW Senior Machine Learning Engineer Opportunity at Financial Fraud Prevention Organization!
The company:
Are you a machine learning expert?
A major player in the fraud detection industry is looking for a Machine Learning Engineer to join their ambitious team.
This company's goal is to continue to grow its industry and bring transparency to its market and fight financial crime through the best practices of data scientists and machine learning operations.
The paper:
Als Senior Machine Learning Engineer:
- Apply machine learning engineering design
- You build machine learning infrastructures by interfacing with CI/CD, Spark, Airflow, Kafka, and Kubernetes pipelines.
- You will develop and implement advanced analytics algorithms/scalable solutions using AWS, AZURE, Spark and Python.
- You will work in a team of highly qualified engineers and data scientists.
- You will be able to own and manage interesting projects.
- Regularly contact and interact with stakeholders.
YOUR SKILLS AND EXPERIENCES:
- You must have a master's or doctoral degree in your primary subject.
- You must have demonstrated proficiency in implementing machine learning and clustering techniques with commercial experience as a data scientist.
- DevOps experience in CI/CD.
- Experience working with Tensorflow, Kubernetes, Spark, Kafka and Airflow.
- Python experience is a must (tools like AWS and Spark are a plus)
- Excellent communication skills and commitment to the team and colleagues.
- A strong interest in problem solving and using scalable machine learning to solve the biggest data problems.
ADVANTAGES:
- up to €110,000 Competitive salary.
- hybrid work
- Travel/Training Opportunities.
How to apply:
Register your interest by sending your CV to Luc Simpson-Kent via the 'Apply' link on this page.
£ 75.000 - £ 90.000
+ Data Science
Permanent
London
Machine Learning Engineer
IS
£ 80.000 – £ 90.000
This is an exciting opportunity for an ML Operations Specialist to join an established IT company!
THE COMPANY
This successful IT company continues to expand its data footprint by hiring an ML operations engineer to work alongside its data science and engineering team. You only focus on engineering, implementation and machine learning pipelines, so you need excellent backend/systems design, but also machine learning skills as it facilitates the work of data scientists. It's a great opportunity to take on a position of great responsibility in a secure company.
THE PAPER
As a machine learning engineer for the company:
- Bridging the gap between the data science team and the data engineering team
- Deploy models to production and work in the cloud
- Maintain the machine learning pipeline and ensure everything is running correctly
- Engage with key stakeholders across the organization
SKILLS AND EXPERIENCE
- Solid academic education - Bachelor/Master
- Knowledge of machine learning models
- Proven business experience in implementing machine learning models, maintaining ML pipelines and system design
- Basic knowledge of cloud technologies
- good communication skills
- Programming experience in Python and SQL, AWS
REWARDS AND BENEFITS
- Base salary £80,000 – £90,000 depending on experience
- Advantages
- prima
HOW TO APPLY?
Please express your interest in this position by sending your CV to Rosie O'Callaghan using the apply link on this page
200.000 - 350.000 US-Dollar
+ Data Science
Permanent
New York
Founding Engineer for Machine Learning
Technologie-Startup
US based remote control
200.000 US-Dollar bis 350.000 US-Dollar
A Microsoft-backed startup is looking for an experienced machine learning engineer to join their team. This company works to promote equal access to data so companies have the opportunity to compete with big data users (like Apple/Amazon/Google). If you are interested in using ethical data to drive innovation and development in technology, then this role is for you.
The paper
As a Machine Learning Engineer you will:
- Work with data science teams to implement and scale advanced algorithms
- Take responsibility for writing elegant code, and you'll feel comfortable adopting new technologies independently.
- Design efficient, customizable, and scalable data pipelines to process both structured and unstructured data
- Maintain and revise existing datasets and pipelines to serve a variety of use cases
your skills and experience
The successful Machine Learning Engineer will have the following skills and experience:
- MS/PhD no campo STEM
- Experience working with extremely large data sets.
- Experience with neural networks
- The ideal is to have diverse experience in the industry.
- Must have technical leadership/management experience of small teams
- History of creating ML models from scratch
- Users Python, Spark, TensorFlow, AWS (ideally, but open to Azure and GCP)
The advantages
A competitive base salary of $200,000-$350,000 + benefits + significant capital
KEYWORDS
Data Science | mechanical engineering | Natural Language Processing | Machine Learning | Commissioning | Python | Marketing and Advertising | Software Development | Understanding Natural Language | Natural Language Generation
240.000 - 265.000 US-Dollar
+ Data and technology
Permanent
Austin, Texas
Interested in using cutting-edge technology to support essential workers across the country? Are you passionate about technology and using its apps? This highly innovative advertising company is looking for a Senior Machine Learning Engineer with a pioneering spirit to help make an impact on their business.
THE PAPER:
The Senior Machine Learning Engineer works for an Internet advertising company and will work together in an Agile/SCRUM environment. Leveraging a search and match algorithm powered by cutting-edge AI technologies, the platform will be able to find the perfect candidates for jobs in the market.
WHAT WILL YOU DO IN THIS ROLE?
- Do you live in the greater Austin area or be prepared to relocate to the Austin area (relocation reimbursement offered)
- Scale and scale high-value business initiatives.
- Help with everything from data ETLs to modeling, model service and test reports
- On a day-to-day basis, expect to spend around 20% of your time on the service/inference layer, 20% on data science modeling, and the rest on data cleansing, ETL, and analytics.
YOUR SKILLS AND EXPERIENCES:
- Bachelor of Science in Computer Science accredited by one of the top 100 universities in the world
- Three to seven years of professional computer programming experience with proven results and high value
- One year of professional experience in data science, machine learning or data engineering
- Experience in machine learning with Keras and Tensorflow
- Scaling microservices using Java or similar technology
THE ADVANTAGES:
240.000 US-Dollar bis 265.000 US-Dollar
- Comprehensive health, vision and dental insurance premiums paid for by the company for you and your loved ones
- 401(k) pension plan with an employer contribution of 3%
- unlimited power draw
- paid parental leave
- Gym paid for by the company
£ 90000 - £ 100000
+ Data Science
Permanent
London
Team Leader – ML Engineering
London
£ 90.000 – £ 100.000
This is a great next step for a Machine Learning Engineering Manager to join an established company focused on online security!
THE COMPANY
This well-known company has created a new arena in online security and is investing heavily in its data footprint; Their data team has grown from 4 people in 2021 to 50 people and they are still hiring. You are looking for a machine learning lead to join the team, do direct reporting and work on end-to-end machine learning projects. So this could be a great next step for anyone looking to improve their technical and managerial skills. They also have great flexibility and a solid performance package!
THE PAPER
As a leader in enterprise machine learning, you can:
- Lead a team of data science and machine learning experts
- Work with key stakeholders across the organization to ensure ML and AI are being used to improve strategic business decisions and identify new areas for improvement.
- Build multiple machine learning models (e.g. NLP) and deploy them on the Azure cloud platform
SKILLS AND EXPERIENCE
- A title in a numeric or relevant field is preferred.
- Experience working in a regulated environment would be helpful.
- An excellent understanding and experience of building and implementing machine learning techniques, ideally NLP
- Technologie: Python/R, SQL, Azure
REWARDS AND BENEFITS
- Base salary £90,000 - £100,000
- prima
- value package
HOW TO APPLY?
Please express your interest in this position by sending your CV to Rosie O'Callaghan using the apply link on this page
215.000 - 225.000 US-Dollar
+ Data Science
Permanent
New Jersey
Machine Learning Manager
financial services
New Jersey
Base $215,000,000 to $225,000,000 + bonus + extremely powerful benefits
You will work with one of the world's largest financial institutions as an influential member of the ML team. They act as technical leaders and project leaders to help the company solve difficult problems and find innovative solutions.
The paper
As a machine learning manager, you will:
- Act as technical lead and project manager (this is a very practical role)
- Become a Python programming expert
- Learn how programming and API creation should be done.
your skills and experience
The successful Machine Learning Engineer will have the following skills and experience:
- You must be a programming expert.
- AWS preferred
- Extensive experience in the implementation of models in production.
- Experience in financial services is an advantage
- Extensive professional experience in computer programming with proven results and high value.
- Extensive business experience in the fields of data science, machine learning or data engineering.
The advantages
A competitive base salary of $215,000-$225,000 + benefits + significant capital
KEYWORDS
Data Science | mechanical engineering | Natural Language Processing | Machine Learning | Commissioning | Python | Marketing and Advertising | Software Development | Understanding Natural Language | Natural Language Generation
200.000 - 210.000 US-Dollar
+ Data Science
Permanent
New York
New York
Are you an expert in financial services and machine learning? Then this role is perfect for you. You will work with one of the world's largest financial institutions as an influential member of the ML team. They act as technical leaders and project leaders to help the company solve difficult problems and find innovative solutions.
As a Senior Machine Learning Manager, you will be expected to:
- Act as technical lead and project manager (this is a very practical role)
- Become a Python programming expert
- Learn how programming and API creation should be done.
- Bring the models into production and maintain the post-production environment.
your skills and experience
The successful Machine Learning Engineer will have the following skills and experience:
- You must be a programming expert.
- Extensive experience in the implementation of models in production.
- Work experience in financial services.
- Five (5) to seven (7) years of professional computer programming experience with proven, high-quality results.
- One (7-10) years of professional experience in data science, machine learning or data engineering.
The advantages
A competitive base salary of $200,000 to $210,000 + bonus + benefits
How to apply:
Register your interest by sending your CV to Mark Doyle via the Apply link on this page.
230.000 - 300.000 US-Dollar
+ Data Science
Permanent
New Jersey
Machine Learning Director
financial services
New Jersey
Base $230,000,000 to $300,000,000 + bonus + extremely powerful benefits
You will work with one of the world's largest financial institutions as an influential member of the ML team. They act as technical leaders and project leaders to help the company solve difficult problems and find innovative solutions. This will be a strong role as an individual contributor where you will apply machine learning experiences on a daily basis.
The paper
As Director of Machine Learning you will:
- Act as technical lead and project manager (this is a very practical role)
- Become a Python programming expert
- Learn how programming and API creation should be done.
your skills and experience
The successful Machine Learning Engineer will have the following skills and experience:
- You must be a programming expert.
- Extensive experience in the implementation of models in production.
- Experience in financial services is an advantage
- Extensive professional experience in computer programming with proven results and high value.
- Extensive business experience in the fields of data science, machine learning or data engineering.
The advantages
A competitive base salary of $230,000-$300,000 + benefits + significant capital
90000€ - 110000€
+ Data Science
Permanent
Munich Bavaria
SENIOR MACHINE LEARNING ENGINEER
Salary range: 85,000 - 100,000 euros
Munich, Germany
THE COMPANY
Recognized as a pioneer in business strategy and management consulting, our client is seeking a Senior Machine Learning Engineer to join the engineering team. You need to build ML-based systems, tools, and services that serve as infrastructure for your internal and external customers. The opportunity to work with exciting new tools, increasing technical demands due to growing data demands, and great benefits make this a very attractive opportunity for data-driven individuals looking for the next challenge.
THE PAPER
The role challenges you to apply your knowledge to machine learning problems across different industries. You shape new business challenges, design innovative algorithms, build scale through design tools and coach colleagues and customers on new solutions. You contribute to customer success by creating, visualizing and using state-of-the-art data engines and tools.
YOUR SKILLS AND EXPERIENCES
- Strong programming skills in at least one of the following programming languages (Java, Scala, C++, Python, etc.)
- Familiarity with tools relevant to writing/maintaining large data processing pipelines using Hadoop, Spark, Scala, etc.
- Experience with Python applied to machine learning (pandas, scikit-learn, scipy, numpy, etc.)
- Strong knowledge of machine learning techniques is required (KNN, Random Forest, Bayesian Statistics etc., other preferred techniques are: TensorFlow, Keras, PyTorch, MxNet)
- Experience in a cloud environment (AWS, Google, Azure)
- DevOps: Kubernetes, Docker, CI/CD
- Knowledge of relational database management: SQL, PostgreSQL, Microsoft SQL, etc.
- Knowledge of NoSQL databases (MongoDB, Neo4j, Redis etc.)
- Able to work in Germany
- Excellent communication and collaboration skills in German and English (both at C1 level)
HOW TO APPLY?
Register your interest by sending your CV to Peter Schroeter via the Apply link on this page.
200.000 - 350.000 US-Dollar
+ Data Science
Permanent
New York
Founding Engineer for Machine Learning
Technologie-Startup
US based remote control
200.000 US-Dollar bis 350.000 US-Dollar
This company works to promote equal access to data so companies have the opportunity to compete with big data users (like Apple/Amazon/Google). If you are interested in using ethical data to drive innovation and development in technology, then this role is for you.
The paper
As a Machine Learning Engineer you will:
- Work with data science teams to implement and scale advanced algorithms
- Take responsibility for writing elegant code, and you'll feel comfortable adopting new technologies independently.
- Design efficient, customizable, and scalable data pipelines to process both structured and unstructured data
- Maintain and revise existing datasets and pipelines to serve a variety of use cases
your skills and experience
The successful Machine Learning Engineer will have the following skills and experience:
- MS/PhD no campo STEM
- Experience working with extremely large data sets.
- Experience with neural networks
- The ideal is to have diverse experience in the industry.
- Must have technical leadership/management experience of small teams
- History of creating ML models from scratch
- Users Python, Spark, TensorFlow, AWS (ideally, but open to Azure and GCP)
The advantages
A competitive base salary of $200,000-$350,000 + benefits + significant capital
£ 85.000 - £ 95.000
+ Data Science
Permanent
London
Machine learning software developer
financial services
£ 85.000 – £ 95.000
This is an exciting opportunity for an ML Ops Specialist to join a growing FinTech company!
THE COMPANY
This successful FinTech company continues to grow its data estate by hiring an ML operations engineer to work alongside its engineering and data science team. You only focus on engineering, implementation and machine learning pipelines, so you need excellent backend/systems design, but also machine learning skills as it facilitates the work of data scientists. It's a great opportunity to take on a position of great responsibility in a secure company.
THE PAPER
As a Senior Machine Learning Operations Engineer for the company:
- Bridging the gap between the data science team and the data engineering team
- Deploy models to production and work in the cloud
- Maintain the machine learning pipeline and ensure everything is running correctly after deployment
- Engage with key stakeholders across the organization
SKILLS AND EXPERIENCE
- Solid academic education - Bachelor/Master
- Knowledge of machine learning models
- Proven business experience in implementing machine learning models, maintaining machine learning pipelines and systems design, CICD
- Basic knowledge of cloud technologies
- good communication skills
- Programming experience in Python and SQL, AWS
REWARDS AND BENEFITS
- Base salary £85,000 – £95,000 depending on experience
- Advantages
- prima
HOW TO APPLY?
Please express your interest in this position by sending your CV to Rosie O'Callaghan using the apply link on this page
