INDUSTRY
OVERVIEW
Innovation in artificial intelligence (AI) and machine learning (ML) is booming. And because of this, the AI and ML job markets are seeing a huge surge in demand.
Businesses are increasingly relying on data-driven insights to make informed decisions, and as a result, AI recruitment has become a focal point of our recruitment efforts.
In recent years, the field of data and analytics has become increasingly important, leading to the creation of new roles such as data scientists, data engineers, and AI developers. These roles require a strong understanding of programming languages, data modelling, statistics, and machine learning algorithms.
There is currently a shortage of skilled professionals in the data and analytics field, making it challenging for businesses to find the right talent to fill their vacancies. This has led to fierce competition for qualified candidates, which in turn has driven up salaries and benefits in the field.
To attract top talent, businesses must create a supportive and innovative workplace culture that fosters growth, learning, and collaboration. By investing in their employees' training and development, businesses can retain their skilled professionals and stay ahead of the competition. Get in touch with our AI & Machine learning Recruitment experts today.
CORE SKILLS
- Machine learning algorithms: Strong understanding of various machine learning algorithms, such as supervised and unsupervised learning, reinforcement learning, deep learning, and natural language processing, and their applications in solving real-world problems.
- Programming: Proficiency in programming languages such as Python, R, Java, or other relevant languages commonly used in AI and ML projects, and experience with data manipulation, analysis, and modelling using libraries such as TensorFlow, PyTorch, Scikit-Learn, or others.
- Data preprocessing: Ability to preprocess and clean raw data, including handling missing values, dealing with noisy data, feature engineering, and data normalisation or scaling, to prepare data for ML model training.
- Model evaluation and selection: Knowledge of techniques for evaluating and selecting the best-performing machine learning models, such as cross-validation, performance metrics, and model selection algorithms, to ensure accurate model performance assessment.
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- Data visualisation and statistical analysis: Proficiency in data visualisation techniques to visually represent data and model outputs, and effectively communicate results to stakeholders. Understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and probability theory, to analyse data and make data-driven decisions. Connect with our AI and Machine Learning Recruitment professionals today for more expert guidance.
- Feature selection and dimensionality reduction: Familiarity with techniques for feature selection and dimensionality reduction, such as PCA (Principal Component Analysis), Lasso, or others, to optimise model performance and reduce computational complexity.
DATA SCIENCE OVERVIEW
Data science, plays a significant role in the AI job market within the data and analytics sector. As the use of artificial intelligence continues to grow, the need for data science skills has become increasingly important.
Data science provides the foundation for AI by enabling the collection, preparation, and analysis of large volumes of data. Data scientists use statistical analysis and machine learning algorithms to identify patterns and insights from data, which can be used to develop predictive models and inform business decisions.
The demand for data science skills in the AI job market has increased dramatically in recent years. Many organisations are investing in AI technologies to automate processes, improve customer experience, and gain a competitive advantage. As a result, there is a high demand for data scientists who can develop and deploy machine learning models and other AI applications.
Data science skills are also important for other roles within the AI job market, such as machine learning engineers and AI developers. These roles require a deep understanding of statistical analysis and machine learning algorithms to build and deploy AI applications. Need an AI & Machine Learning Recruitment specialist? Contact our experts today for guidance and support.
MACHINE LEARNING OVERVIEW
DATA ENGINEERING OVERVIEW
Data engineering involves designing and building the infrastructure needed to store, process, and analyse large volumes of data.
Their main responsibilities include creating data pipelines, developing data warehousing solutions, and ensuring the reliability and security of data. They work closely with data scientists, machine learning engineers, and other AI professionals to ensure that data is accessible and reliable.
The demand for data engineering skills in the AI job market has increased dramatically in recent years. As the use of AI continues to grow, organisations need to ensure that their data is accessible, reliable, and secure. This requires data engineers who can design and build a scalable data infrastructure that can handle the volume and variety of data needed for AI applications.
Data engineering skills are also essential for other roles within the AI job market, such as data scientists and machine learning engineers. These roles require a deep understanding of data infrastructure and its role in supporting AI applications. Don't navigate AI & Machine Learning Recruitment alone - our experts are here to help. Contact us today to learn more.
AI ENGINEERING OVERVIEW
BUSINESS INTELLIGENCE OVERVIEW
Business intelligence involves analysing data to garner insights that help track business performance, identify trends, and ultimately help companies make better-informed decisions.
In the data industry, business intelligence analysts are responsible for developing and implementing business intelligence strategies and tools that can help organisations improve their performance. They work closely with data scientists, machine learning engineers, and other AI professionals to ensure that data is used effectively to drive business outcomes.
The demand for business intelligence skills in the AI job market has increased dramatically in recent years. Many organisations are investing in AI technologies to gain a competitive advantage and improve business processes. This has led to a high demand for business intelligence analysts who can help organizations use data to make informed decisions.
Business intelligence skills are also essential for other roles within the AI job market, such as data scientists and machine learning engineers. These roles require a deep understanding of business intelligence strategies and tools and their role in supporting AI applications. Seeking guidance for your next AI and machine learning hire? Speak with one of our AI & Machine Learning Recruitment specialists today.
JOBS
LATEST AI and Machine Learning
JOBS
Senior Full-Stack Engineer
Los Angeles Metro Area
$160000 - $210000
+ Data & Technology
PermanentLos Angeles Metro Area, California
SENIOR FULL-STACK ENGINEER
LOS ANGELES – REMOTE
$160,000 – $210,000 + EQUITY & BENEFITS
This is an exciting opportunity for an experienced Software Engineer to join a fast-paced team working on the cloud in a rapidly growing business. If you are passionate about using cutting-edge technologies on an advanced data visualization and analytics platform, and have experience supporting AI and ML teams this could be the role for you.
THE COMPANY
The Full-Stack Engineer will be joining a company that makes a mission of allowing their clients to harness AI and other technologies to enhance their analysis of unstructured data in a way that is understandable throughout their whole organization. The company’s growth over the last few years has been phenomenal, doubling the size of its team over the past 2 years.
THE ROLE
- Design and build the platform that supports the company’s AI function
- Building across the whole stack and ensuring the platform is scalable and performing
- Work cross-functionally with Data Scientists and AI Engineers
- Deploying applications into containerized cloud environment
YOUR SKILLS & EXPERIENCE
- Experience writing backend code in Python
- Celery
- Frontend experience in React and React frameworks
- Containerization and orchestration with Docker and Kubernetes
- Cloud experience in AWS
- Experience developing ML models or familiarity with their production
- MUST be able to get U.S. security clearance
HOW TO APPLY
Please register your interest by sending your resume to Evan Bachteal via the apply link on this page.
Robotics Engineer
Boston
$60 - $80
+ Computer Vision
ContractBoston, Massachusetts
Robotics Perception Engineer
Fully Remote or Hybrid (1-2 days a week)
6-Month Contract-to-Hire
$60-$80/hr
In this position, you will be collaborating with robotics engineers and software developers to build out a toolkit to easily build out AMRs and mobile manipulators. The ideal candidate will have experience in RGB and RBGD cameras, and 2D and 3D lidar sensors.
THE COMPANY
We are currently partnered with an innovative robotics company that is building products with human awareness to create safe, dependable, and collaborative robots within the logistics and transportation industry. Join this newly growing team and be a part of their cutting-edge automation and technology!
THE ROLE
- Develop sensor calibration systems, visual SLAM and semantic mapping
- Collaborate with Robotics team to improve localization accuracy of robots through cameras and lidar
- Build sensor stacks for customer specific robot applications
- Communicate effectively to rest of team to identify creative ideas and be an avid-learner
YOUR SKILLS AND EXPERIENCE
A successful Robotics Perception Engineer within this role will likely have the following skills and experience:
- Master’s degree in Robotics, Computer Science, or similar
- Minimum 4 years experience in general robotics, computer vision, robotics perception, or related
- Minimum 4 years experience in programming languages such as C++ or Python
- 2+ years experience writing algorithms in Robot Operating System (ROS)
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.
Senior Data Platform Engineer
South San Francisco
$150000 - $180000
+ Data & Technology
PermanentSouth San Francisco, California
SENIOR DATA PLATFORM ENGINEER
SAN FRANCISCO, CA (HYBRID)
$150,000 – $180,000
Join a cutting-edge organization in the field of research and data innovation, focusing on building their data platform systems. If you’re a data-focused platform engineer based in the Bay Area, take a look at this opportunity.
THE COMPANY:
This biopharmaceutical company is focusing on revolutionizing the way data, knowledge, and predictive technologies are harnessed to advance pharmaceutical discoveries. This dynamic team is a full-stack powerhouse, comprising leaders in product and portfolio management, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. As a business, they’re aggressively scaling their data infrastructure to unlock the full potential of data assets and real-time predictions.
THE ROLE:
As a Senior Data Platform Engineer, you will play a pivotal role in architecting and building their petabyte-scale data processing pipelines and infrastructure, including building their knowledge graph platform. You’ll serve as a leading technical contributor focused on data engineering tools and languages (Spark, Scala, Kafka, etc.) in a GCP environment. This is a cross-functional role where you will work closely with teammates and business partners (AI/ML engineers extensively) to ensure robust data orchestration and service delivery.
YOUR SKILLS AND EXPERIENCE:
- Extensive experience with industry-standard big data technologies (Spark, Kafka, Delta Lake, HDFS, etc.)
- Expertise with Scala, including toolchain, documentation, testing, and observability
- Proficiency in infrastructure as code (Terraform) and CI/CD implementations with Jenkins, CircleCI, Gitlab, etc.
- Specific cloud experience with GCP (AWS and Azure also okay)
THE BENEFITS:
- HQ in South SF – onsite 1 to 2 days a week
- Generous PTO policy
- Stock options
- Learning allowance, including training and seminars
- 401k match, life insurance
- Health, Dental, Vision insurance
HOW TO APPLY:
Please register your interest by sending your CV to Natalie Endres via the Apply link on this page.
Data Platform Engineer
San Francisco
$125000 - $145000
+ Data & Technology
PermanentSan Francisco, California
Data Platform Engineer
Hybrid- San Francisco, CA
125,000-145,000K with bonus
This role cannot sponsor at this time.
The Company
I am working with a huge player in the biotech and pharma space who is looking for an experienced Data Platform Engineer to join their team.
THE ROLE
Responsibilities Will Include
- Automating various data flows.
- Support end-to-end code traceability and data provenance.
- Partner with tech to modify tools as needed.
- Build and manage reusable components and architectures designed to make it both fast and easy to build robust, scalable, production-grade data products and services.
Your Skills Include
- 4+ years of relevant experience.
- Experience with distributed data tools ( Spark, Kafka, Hive)
- Experience with cloud platforms.
- Experience with search/indexing systems.
- Experience with specialized data architecture.
- Demonstrated excellence in writing production Python, Java, Scala, Go, and/or C#/C++
- Experience building and designing a DevOps first way of working
The Benefits
- competavive salay plus benfits.
How To Apply
Please register your interest by sending your CV to Benjamin via the Apply link on this page.
Senior Python Software Engineer
San Francisco
$160000 - $190000
+ Data & Technology
PermanentSan Francisco, California
SENIOR SOFTWARE ENGINEER (PYTHON)
SAN FRANCISCO – HYBRID
$160,000 – $200,000 + BENEFITS
This is a great opportunity for an experienced Pythonista to join a genomics startup in the engineering team and be an integral part of building the backend of their platform. The person best suited to this would be well-versed in Python and cloud technologies, and comfortable working in a startup environment
THE COMPANY
This Software Engineer will be joining a company that is at the forefront of making genetic testing more accessible and democratized for the public by utilizing a modern tech stack and platform.
THE ROLE
- Developing backend web frameworks in Python with Django
- Building out packaging tools for Python
- Some work on the frontend in React
- Cloud infrastructure in AWS
YOUR SKILLS & EXPERIENCE
- 6+ years of production-level Python experience
- Kubernetes, Terraform, and Docker
- Django
- CI/CD and DevOps knowledge
HOW TO APPLY
Please register your interest by sending your resume to Benjamin Palmore via the apply link on this page.
Robotics Software Engineering Manager
Pittsburgh
$180000 - $220000
+ Computer Vision
PermanentPittsburgh, Pennsylvania
Manager of Robotics Software
Warehouse Robotics
Pittsburgh, Pennsylvania
$180k – $220k
Should you be a fervent, forward-looking leader, boasting a robust background in robotic software development, and nurturing a yearning to enact substantive transformations in the realm of autonomous robotics, we wholeheartedly encourage your application.
The Company:
Our RaaS (Robotics as a Service) enterprise is dedicated to reshaping the landscape of autonomous robotics, catalyzing advancements within the warehouse and distribution sector. Our state-of-the-art robotic technologies are at the vanguard of this evolution. We’re in search of a dynamic and seasoned Robotic Software Manager to take the reins of our exceptional team in Pittsburgh, PA.
Position:
Assuming the role of Robotic Software Manager, you will occupy a pivotal position in shaping the trajectory of robotic systems. Guiding a team of adept engineers, you will drive the boundaries of robotic software development and its seamless integration. Your acumen in robotics, team leadership, and product development will serve as the cornerstone of your triumph in this capacity.
Responsibilities:
- Lead a diverse, interdisciplinary team of software engineers, cultivating innovation and collaborative synergy.
- Propel the progress and integration of self-directed robotics systems.
- Supervise product evolution cycles, ensuring the delivery of top-tier software outcomes.
- Nourish and mentor team constituents, nurturing their professional advancement.
- Establish yourself as a proficient authority in software development as applied to robotics.
- Harmonize software development endeavors with overall corporate objectives through interdepartmental collaboration.
- Convey project status, challenges, and victories to executive leadership.
- Remain attuned to industry trends and emerging technological breakthroughs in robotics and software development.
Requirements:
- A decade of hands-on involvement in the evolution and implementation of autonomous robotics systems.
- Half a decade of leadership experience, including mentorship and coaching responsibilities.
- Five years of active engagement in software-centered roles within product development.
- Mastery in the realm of software development for robotics, encompassing SLAM, localization, and cartography.
- Stellar communication skills, adept at elucidating intricate technical concepts to audiences of varying technical acumen.
Benefits:
- A competitive salary, spanning the range of $180,000 to $230,000, tailored to match experience.
- Expedited relocation support for eligible candidates.
- Unrestricted paid time off (PTO) to foster a harmonious work-life equilibrium.
- Performance-oriented bonus structure.
- Prospects for equity ownership within a fast-growing enterprise.
- Comprehensive health, dental, and vision coverage plans.
- 401(k) retirement arrangement with corporate contribution matching.
- Avenues for professional enhancement and continual learning.
How to Apply
Please register your interest by sending your resume to Nicolas Gonzales via the apply link on this page.
Senior Full Stack Software Engineer
$60 - $80
+ Data & Technology
ContractFlorida
Senior Full Stack Engineer
Fully Remote
6-Month Contract To Hire
$65-$80/Hr
$140,000- $160,000 Salary Conversion
In this opportunity, you will get to work with a large-name company that provides software solutions for architecture, engineering, and environmental consulting firms. This role will involve integration with ML models. The candidate will play a crucial role in ensuring that these models seamlessly interact with the dashboards, providing end-users with actionable insights.
Key Responsibilities:
- Develop pixel-perfect, customer-facing applications with a focus on front-end styling.
- Utilize React for the front-end and .NET for the back-end development.
- Collaborate with a team member dedicated to embedded Power BI development.
- Integrate SQL with embedded Power BI on the back end.
- Work within an Azure platform environment.
- Engage in a mix of sprint planning within an Agile methodology for long-term project planning.
- Collaborate closely with project managers, project owners, directors, and other software and data engineers.
- Participate in a greenfield project, contributing to the development of dashboards that display results from ML models.
- Ensure seamless integration between ML models and customer-facing dashboards.
- Allocate approximately 75% of time to hands-on development and 25% to functional responsibilities.
Qualifications:
- Minimum of 10 years of relevant experience.
- Proficiency in front-end technologies including CSS, JavaScript, and React 17.
- Strong background in back-end development with .NET 6 or higher.
- Familiarity with Azure platform (high-level understanding required).
- Prior experience with AWS is a plus.
- Exceptional interpersonal and communication skills.
- Proven ability to work collaboratively within a team and drive projects forward.
Principal Data Scientist
$180000 - $200000
+ Data Science
PermanentUSA
Principal Data Scientist
Healthcare | United States | REMOTE
$180,000 – $200,000 base salary
Harnham is partnered with a specialized health-tech startup that is expanding its data science team. They are seeking an experienced technical lead who will focus on machine learning and statistical model development to enhance care for various demographic groups in healthcare.
THE ROLE
· Develop and apply statistical and computational algorithms to healthcare data (electronic health, electronic medical, real-world evidence, real-world data, claims records, etc.)
· Act as a thought leader for data science projects
· Work with subject matter experts
· Serve as the technical leader of the data science team
· Partner with stakeholders across the business
· Mentor junior team members
YOUR SKILLS AND EXPERIENCE
· Master’s or PhD in Computer Science, Statistics, Physics or a similar STEM field
· Familiarity with healthcare data: electronic medical records (EMR), electronic health records (EHR), healthcare claims data, clinical data, HEOR or real-world data (RWD) or real-world evidence (RWE)
· Experience with Python, PyTorch, TensorFlow, SQL
· Experience with large text corpus or Large Language Models (LLMs) a plus; NLP experience across sentiment analysis, NER, topic modeling, word2vec, BERT is desired
· Experience with AWS, Azure or GCP
· Hands-on experience with a broad range of deep learning tools (e.g., TensorFlow, Spark, Theano, PyTorch, Scikit-learn, Keras, Caffe, Nvidia Digits) and collaboration environments (e.g. Jupyter notebooks, PyCharm, gitlab, github)
· Problem-solving and organizational skills, an orientation toward detail, and a collaboration-oriented
· Comfortable presenting complex data to both technical and non-technical audiences
· History of leading data science projects and mentoring junior team members
THE BENEFITS
A base salary of $180,000-$200,000 and a comprehensive benefits package
HOW TO APPLY
Please register your interest by sending your résumé to Quentin Abramo via the Apply link on this page.
KEYWORDS
Healthcare | Natural Language Processing | Machine Learning | Data Science | EHR | Hospital | Electronic Health Records | EMR | Electronic Medical Records | Deep Learning | Clinical Data | ML | Mission-Driven | Social Impact | Health | Health-tech | Startup
Senior Software Engineer (Python)
San Francisco
$160000 - $200000
+ Data & Technology
PermanentSan Francisco, California
SENIOR SOFTWARE ENGINEER (PYTHON)
SAN FRANCISCO – HYBRID
$160,000 – $200,000 + BENEFITS
This is a great opportunity for an experienced Pythonista to join a genomics startup in the engineering team and be an integral part of building the backend of their platform. The person best suited to this would be well-versed in Python and cloud technologies, and comfortable working in a startup environment
THE COMPANY
This Software Engineer will be joining a company that is at the forefront of making genetic testing more accessible and democratized for the public by utilizing a modern tech stack and platform.
THE ROLE
- Developing backend web frameworks in Python with Django
- Building out packaging tools for Python
- Some work on the frontend in React
- Cloud infrastructure in AWS
YOUR SKILLS & EXPERIENCE
- 6+ years of production-level Python experience
- Kubernetes, Terraform, and Docker
- Django
- CI/CD and DevOps knowledge
HOW TO APPLY
Please register your interest by sending your resume to Kelly McMahon via the apply link on this page.
Senior Full Stack Software Engineer
Washington D.C.
$100000 - $170000
+ Data & Technology
PermanentDistrict of Columbia
Senior Full Stack Software Engineer
Hybrid (D.C. area)
$100,000 -$150,000
You will be working with a rapidly growing government contracting technical solutions firm in the US. They work on extremely impactful projects with multiple government agencies. They are looking to bring on a full stack software engineer who will hit the ground running and have major growth opportunities in their organization.
Responsibilities
- Design, code, test, and debug software applications and integrations.
- Collaborate with cross-functional teams to define software requirements and system specifications.
- Work closely with team members, stakeholders, and clients to understand requirements, provide updates, and address concerns, fostering a collaborative work environment.
- Create and maintain technical documentation for efficient collaboration and knowledge transfer.
- Write and execute software tests to ensure reliability, quality, functionality, and performance.
- Utilize software development tools, version control systems, and SDLC methodologies to deliver high-quality software within timelines.
- Write documentation to support DOD mission system compliance and approval.
Requirements
- Proven experience in software engineering, with a strong understanding of software development principles, methodologies, and best practices.
- Proficiency in programming languages such as Java, .NET Core, or Python, and familiarity with modern development frameworks and tools.
- Excellent problem-solving and analytical thinking abilities, with a focus on delivering innovative and scalable solutions.
- Experience collaborating with cross-functional teams and key stakeholders.
- Knowledge of cloud-native technologies and experience with cloud-based development and deployment platforms (e.g., AWS, Azure, Google Cloud).
- Understanding of DOD CC SRG, impact levels such as IL-5, NIST 800-53 and Fedramp.
- Active Secret Clearance.
- Security+ certification.
Preferred Qualifications
- Active CAC card or have previously obtained one.
Desired Traits
- Takes initiative, proactively manages multiple priorities, and works well under pressure.
- Analytical, creative thinker, and strategic problem-solver.
- Delivers fast but carefully thought-out, high-quality results.
- Structured, organized, and efficient work style.
- Factual, direct communication style.
- Aligned with our core values: honesty, humility, hard work, commitment, innovation, and exceptionalism.
Senior Robotics Software Manager
Pittsburgh
$170000 - $220000
+ Computer Vision
PermanentPittsburgh, Pennsylvania
Robotics Software Manager
Industrial Automation Company
Pittsburgh, PA (on-site)
$170,000 – $220,000
Company Overview:
This company is on a mission to revolutionize the world of autonomous robotics. Their cutting-edge robots are driving advancements in the warehouse and distribution space. They’re looking for a dynamic and experienced Robotic Software Manager to lead their talented team in Pittsburgh, PA.
Position Overview:
As the Robotics Software Manager, you will play a pivotal role in shaping the future of robotic systems. You will lead a team of dedicated engineers, pushing the boundaries of robotic software development and implementation. Your expertise in robotics, team leadership, and product development will be key to your success in this role.
Key Responsibilities:
– Lead a cross-functional team of software engineers, fostering innovation and collaboration.
– Drive the development and implementation of autonomous robotics systems.
– Oversee product development cycles, ensuring high-quality software deliverables.
– Mentor and coach team members, promoting professional growth and development.
– Act as a technical expert in software development for robotics.
– Collaborate with other departments to align software development efforts with overall company goals.
– Communicate project status, challenges, and successes to executive leadership.
– Stay current with industry trends and emerging technologies in robotics and software development.
Minimum Requirements:
– 10 years of hands-on experience in autonomous robotics systems development and implementation.
– 5 years of team leadership experience, including mentoring and coaching.
– 5 years of product development experience in a software-related role.
– Expertise in software development for robotics, including SLAM, localization, and cartographer.
– Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Benefits:
– Competitive salary, ranging from $170,000 to $220,000, commensurate with experience.
– Relocation assistance for qualified candidates.
– Unlimited paid time off (PTO) to maintain a healthy work-life balance.
– Performance-based bonus structure.
– Equity opportunities in a high-growth company.
– Comprehensive health, dental, and vision insurance plans.
– 401(k) retirement plan with company match.
– Opportunities for professional development and continued learning.
If you are a passionate, forward-thinking leader with a strong background in robotic software development and a desire to make a meaningful impact in the field of autonomous robotics, we encourage you to apply.
This company is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
How to Apply
Please register your interest by sending your resume to Jacob DiMartini via the apply link on this page.
Senior Robotics Perception Engineer
Pittsburgh
$130000 - $160000
+ Computer Vision
PermanentPittsburgh, Pennsylvania
Senior Robotics Perception Engineer
Industrial Automation Company
Pittsburgh, PA (on-site)
$130,000 – $160,000
Company Overview:
This company is on a mission to revolutionize the world of autonomous robotics. Their cutting-edge robots are driving advancements in the warehouse and distribution space. They’re looking for a dynamic and experienced Robotics Perception Engineer to join their talented team in Pittsburgh, PA.
Position Overview:
As a Senior Robotics Perception Engineer, you’ll be joining a fast-paced start-up that is in full deployment/production mode and needs your expertise. Contribute across the full tech stack and be able to come on-site as you will be directly interacting with and observing the hardware as well.
Key Responsibilities:
– Collaborate with a cross-functional team of software engineers, fostering innovation and collaboration.
– Drive the development and implementation of autonomous robotics systems.
– Play a major role product development cycles, ensuring high-quality software deliverables.
– Act as a technical expert in software development for robotics/AMRs.
– Collaborate with other departments to align software development efforts with overall company goals.
– Communicate project status, challenges, and successes to executive leadership.
– Stay current with industry trends and emerging technologies in robotics and software development.
Minimum Requirements:
– 3+ years of hands-on industry experience in autonomous robotics systems development and implementation.
– MS or PhD preferred in robotics, machine learning, computer vision, or related field
– 4+ years of experience in robotics perception/computer vision implementation
– Expertise in software development for robotics, including SLAM, localization, and cartographer.
– Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
Benefits:
– Competitive salary, ranging from $130,000 to $160,000, commensurate with experience.
– Relocation assistance for qualified candidates.
– Unlimited paid time off (PTO) to maintain a healthy work-life balance.
– Performance-based bonus structure.
– Equity opportunities in a high-growth company.
– Comprehensive health, dental, and vision insurance plans.
– 401(k) retirement plan with company match.
– Opportunities for professional development and continued learning.
If you are a passionate, forward-thinking leader with a strong background in robotic software development and a desire to make a meaningful impact in the field of autonomous robotics, we encourage you to apply.
This company is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
How to Apply
Please register your interest by sending your resume to Jacob DiMartini via the apply link on this page.
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AI & MACHINE LEARNING CASE STUDIES EXAMPLES:
Predictive Maintenance
- Objective: Develop an AI solution to forecast tower equipment failures for timely intervention.
Available datasets encompassed diverse sources such as support ticket data, manufacturer data, and power meter data.
-
Identified datasets that are valuable and predictive in detecting equipment failures.
- The data formats varied from signal data to text that required natural language processing (NLP) techniques, as well as tabular data.
-
The brand's platform efficiently ingested and processed the data feeds, enabling the creation of over 50,000 machine learning (ML) solutions within a span of 6 weeks.
- Highlighted the significance of blending human insight and advanced AI technology to achieve the best possible outcomes.
- To ensure robust proof, the analysis incorporated 2.5 years of historical data, reserving the most recent 6 months for testing purposes. The models showcased impressive predictive capabilities on unseen incidents, instilling confidence in their effectiveness.
- Attained a prediction rate exceeding 50% for failures one month in advance, resulting in the progression to a live pilot. The purpose of the live pilot was to validate the obtained results and dispel any uncertainties prior to integrating AI into standard business operations.
Medical Supply Chain Optimisation
- State-of-the-art AI solution designed to enhance the efficiency of a complex and time-sensitive blood product supply chain.
- 54% reduction in expired platelets.
-
Achieved a complete elimination of expensive Ad Hoc transport costs.
- Reductions in expiries while still keeping the “In Full” delivery rate at the same high level.
- The existing process used a machine learning forecasting tool and manual statistical modelling on top. The new solution was fully automated Machine Learning.
- Eliminates the dependence on a complex ensemble of spreadsheets created on top of the current software to cope with the complexity of platelet forecasting.
Intelligent Automation
- The brand outsourced to AI and used its AI cloud platform to create an intelligent automation solution for classifying millions of documents.
- The machine learning (NLP) models are able to accurately classify 98% of all documents thus radically transforming a once manual process.
- Saving hours of manual work, repetitive tasks and delivering a superior service for the aviation industry.
- Lean team - 1 Data Scientist, 1 Developer, 1 Domain Expert.
Customer Feedback Automation
- The brand is a marketing research company that had been working on an ML model to classify free text feedback on and off for 2 years.
- They found an AI provider and decided to test the platform against that tricky NLP problem.
- Using the AI brand's AutoML platform they got a 43.9% accuracy gain in a few hours.
- The full ML solution was deployed live in 5 weeks.
NLP for peer support
- The brand is a free peer-to-peer service for small-scale farmers.
It enables farmers in Kenya, Uganda, and Tanzania to share information via SMS.
- Farmers can ask agriculture-related questions and receive customized content and ideas from other farmers around the world within minutes.
- Based on content and intent analysis, machine-learning algorithms match each question to the most suitable responder.
- The project utilizes natural language processing (NLP) models that can recognize Kiswahili, Luganda, Runyankore, and English.
- Questions can be asked in any language, and messaging through Wefarm is free of charge. Farmers without internet access can use it via SMS on their mobile phones.
Identifying species with computer vision
- The brand is an online social network for nature enthusiasts, allowing the mapping and sharing of biodiversity observations globally. The platform is accessed through a free mobile app.
- The platform is accessed through a free mobile app.
Observations recorded on the app serve the purpose of connecting people with nature and others who share similar interests.
- The open data of species sightings is a valuable resource for scientific research and conservation efforts.
- Users can identify known species or seek help from the community to learn more about a specimen.
- Building expertise is facilitated through this collaborative identification process.
- On average, 15,000 to 40,000 observations are logged daily by participants, but some entries lack crucial identification data.
- Community members may take up to 18 days to fill these data gaps, while certain ambiguous entries may remain unanswered.
Using deep learning to personalise and improve training
- Artificial Intelligence (AI) is reshaping various aspects of society, including banking, healthcare management, travel, and music composition.
- AI advancements have primarily concentrated on automating human tasks and enhancing efficiency through novel analysis and predictive methods.
- These technological advances have led to a transformation in many areas of society.
- AI has the potential to revolutionize how we conduct daily activities and tasks.
- Gravity Spy is a popular project on the brand's citizen science platform.12,000 registered citizen scientists participate in the project, assisting astronomers in labelling glitches in images generated by LIGO, an observatory that measures cosmic gravitational waves.
- Human eyes are still the most effective tool for distinguishing between noise sources and novel features in images. Volunteer contributions are crucial for the research.
- The project has incorporated AI into the volunteer training pipeline to enhance task performance and overall volunteer experience.
- A convolutional neural network (deep learning) algorithm is used to evaluate each volunteer's ability to classify different types of glitches based on difficulty levels.
- The AI model adapts to each volunteer, creating a personalized training experience. Citizen scientists progress through project workflow levels based on their individual abilities.
- The project demonstrates the value of human contributions and the optimization of individual citizen scientists' experience and performance through the use of AI.
Predictive Maintenance #2
- Anticipating vehicle breakdowns ahead of time using Ford's connected modem data.
- By targeting FIE failures, the brand was able to accurately predict an average of 22% of failures, with an impressive 10-day advance notice, and a minimal false positive rate of only 2.5%.
- Based on our calculations, the potential positive impact from this aspect alone amounts to approximately $7 million, equivalent to saving 122,000 hours of downtime.
- For the customer, this means higher uptime, key for the heavily reliant delivery/logistics sector.
- The Lead AI Delivery Team consisted of a Data Scientist and a Domain Expert, working together to ensure efficient and effective delivery.
FAQ:
Is AI a booming industry?
- The current market landscape is experiencing a significant upswing fueled by the immense growth of artificial intelligence (AI). However, this boom appears to be primarily concentrated within the realm of mega-cap tech stocks, creating a notable disparity in the market's expansion.
Do candidates need a degree in machine learning?
In order to become a Machine Learning Engineer, they must first acquire a bachelor's degree in a related field of technology:
- Bachelor's Degree in Computer Science
- Bachelor's Degree in Artificial Intelligence
- Bachelor's Degree in Data Science
- Bachelor's Degree in Machine Learning
- Bachelor's Degree in Computer Engineering
- Bachelor's Degree in Electrical Engineering (specialising in AI or machine learning)
- Bachelor's Degree in Mathematics (with a specialisation in data science or machine learning)
- Bachelor's Degree in Statistics (with a focus on data science or machine learning)
- Bachelor's Degree in Information Technology (with a specialisation in machine learning or AI)
- Bachelor's Degree in Software Engineering (focused on machine learning or AI)
- Bachelor's Degree in Robotics (with a specialisation in machine learning or AI)
- Bachelor's Degree in Cognitive Science (specialising in machine learning or AI)
- Bachelor's Degree in Computational Linguistics (emphasizing natural language processing and machine learning)
- Bachelor's Degree in Physics (with a focus on data analysis and machine learning)
Is the UK leading in AI?
The UK is undoubtedly one of the global leaders in AI. However, the reason they fall short before the US and China is because, in terms of financial investment, they still can't compete with the United States and China:
- The UK AI market is worth more than £16.9 billion, according to the US International Trade Administration, and is expected to grow to £803.7 by 2035.
- Britain has twice the number of AI-based companies than any European nation.
- On a global scale, the UK falls into third place when it comes to pioneering AI. Alone, it cannot compete with the Technological superpowers that these two countries have.
- For instance, even with over 50,000 people now working within the UK's AI industry. In 2021, 3,170 UK Artificial intelligence companies generated £10 billion in revenue. Yet the American Tech giant, Microsoft, announced at the beginning of 2023 that they will invest £10 billion into OpenAI. China tech giants like Alibaba and Tencent are capable of a similar feat.
- In the 2023 budget, the UK government committed almost £1 billion of government funding towards AI research.
Which Universities are the best for artificial intelligence in the UK?
- University of Oxford
- University of Cambridge
- University College London
- University of Edingburgh
- Imperial College London
- University of Manchester
How many AI startups are there in the UK?
- The number of UK AI companies has increased by 688% over the last 10 years.
- Currently, there are 1684 active AI companies that are showing signs of rapid growth. Some of which are just getting stated, others are starting to become more established.
Which countries pay AI engineers the most?
- AI engineers in the United States and Canada earn higher salaries than those in other countries.
- AI engineers with advanced degrees such as a Master's or a Doctorate tend to earn higher salaries than those with only a bachelor’s degree. Especially if they work in the United States or Canada.
- AI Engineers that are within the finance industry in these two countries get paid the best in comparison to the rest of the world.
Which sector uses AI the most?
- There is no denying the fact that the manufacturing industry is at the forefront when it comes to the application and integration of AI technology. Within the manufacturing sector, AI is extensively utilized across various stages and aspects of operations, spanning from workforce management to product development. As a result, it leads to enhanced operational efficiency, superior product quality, and increased safety for employees.
What is the average salary of an AI engineer?
- AI Engineers are handsomely compensated for their expertise. When it comes to the remuneration of AI Engineers, the national average salary stands at an impressive £52,712 within the United Kingdom. It's a testament to the value placed on their exceptional skills and contributions in this cutting-edge field.
Which field of AI is in demand?
- The most sought-after AI careers are Machine Learning Engineer, Data Scientist, AI Research Scientist, Robotics Engineer, UX Designer, AI Ethicist, Business Intelligence Developer, and the emerging role of Prompt Engineer.
Which city has the most AI-focused institutions?
- London is at the forefront of AI education with 29 dedicated AI courses at the university level and an additional 333 courses in Computer Science and IT.
Which companies specialise in AI?
The top companies specialising AI are as follows:
- NVIDIA
- Amazon
- OpenAI
- IBM
- People.ai
- AlphaSense
- DataRobot
- H2O.ai
- Clarifai
Which Industries are most threatened by AI?
- Overall, it is widely agreed upon that clerical and administrative positions will be the most significantly impacted jobs in the coming years. To increase their chances of success, workers should focus on enhancing their creative and analytical thinking abilities while becoming proficient in utilizing AI tools to enhance productivity.
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