AI & Machine Learning
Recruitment

AI & Machine Learning Recruitment

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. 
    •  

 

  • 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.  
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AI and Machine learning.
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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

Machine learning plays a crucial role in the AI job market within the data and analytics sector. Machine learning enables machines to learn from data, make predictions, and improve their performance over time.

In the data and analytics sector, machine learning is used extensively to build predictive models, identify patterns and anomalies, and automate decision-making processes. Machine learning algorithms are also used to build intelligent applications such as chatbots, recommendation engines, and speech recognition systems. They have also been used to make dangerous jobs safer and more sustainable.

The demand for machine learning skills in the AI job market has increased dramatically in recent years. Many organisations are investing in AI technologies to gain a competitive advantage, automate processes, and improve customer experience. As a result, there is a high demand for machine learning engineers, data scientists, and AI developers who can design and implement machine learning algorithms and models.

Machine learning skills are also essential for other roles within the AI job market, such as data engineers and business intelligence analysts. These roles require a deep understanding of machine learning algorithms and their applications in data analysis and business decision-making. For all your AI & Machine learning Recruitment needs, speak to our experts today by getting in touch with us.

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

 
 

AI engineers are responsible for designing, developing, and deploying AI applications that can perform intelligent tasks, learn from data, and improve their performance over time.

These applications include chatbots, recommendation engines, speech recognition systems, and predictive models.

The demand for AI engineering skills in the AI job market has increased significantly 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 AI developers who can design and build intelligent applications that can meet specific business needs.

AI 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 AI algorithms and their applications in data analysis and business decision-making.

Let our AI & Machine learning Recruitment experts guide you to the best talent in the AI engineering space. Contact us today to get started.

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

Growth Analyst

London

£60000 - £65000

+ Digital Analytics

Permanent
London

To Apply for this Job Click Here

Growth Analyst

£60,000 – £65,000

2 days a week in London

The Company

The Leader in children’s sound system, thinks this sounds boring, well can you imagine your favorite childhood character telling you, their story? Well, 1 in 2 German households can and now with huge growth plans now is the time to get in.

The Role

Come in and work on everything web and marketing, looking at all the data to figure out what is needed and what the key areas are for growth for the company and stakeholders.

Identifying the methods that are best to communicate the facts and findings to key stakeholders in the simplest and easiest-to-understand way.

Your skills and experience

The successful applicant will have the following skills and experience:

  • Google Analytics – or web analytics tool
  • SQL

How to apply:

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

To Apply for this Job Click Here

Ingénieur Devops

Paris

€65000 - €80000

+ Data Engineering

Permanent
Paris, Île-de-France

To Apply for this Job Click Here

INGÉNIEUR DEVOPS/ADMIN SYS

SUD DE LA FRANCE

UP TO 80K€ FIXE

Terraform – Sécurité – Documentation

L’ENTREPRISE

C’est une startup qui développe un outil innovant de communication pour les entreprises et les communautés. Étant dans une phase de croissance, l’entreprise cherche un Ingénieur Devops/Admin Sys pour rejoindre ses équipes.

LE POSTE

Au sein d’une équipe technique composée de 20 personnes et en proximité avec le CTO, tes principales missions seront:

  • Contribuer aux chantiers pour obtenir la certification SecNumCloud
  • Mettre en place des pratiques de sécurité robustes pour protéger leurs systèmes et données
  • Travailler en étroite collaboration avec les équipes de développement pour garantir un déploiement et résoudre les problèmes opérationnels
  • Participer à toute la gestion de l’infrastructure cloud
  • Concevoir, mettre en œuvre et maintenir la CI/CD pour assurer un déploiement fluide et efficace des logiciels
  • Mise en place et maintenance de solutions opensources

LE PROFIL

  • Diplôme top 10 école d’ingénieur
  • Minimum 5 ans d’expérience sur un poste similaire
  • Vous êtes familier avec les sujets liés à la documentation et la sécurité
  • Vous avez une bonne compréhension des aspects réseau, architecture et normes
  • Vous avez idéalement déjà travaillé sur un cloud public
  • Vous êtes autonome et savez faire preuve de leadership

POSTULER

Merci de joindre votre cv à jour et je vous recontacterai dès que possible.

To Apply for this Job Click Here

Senior AI/Data Product Manager

London

£100000 - £120000

+ Data Science & AI

Permanent
London

To Apply for this Job Click Here

Senior AI/Data Product Manager

London (Remote)

up to £120,000

Join a growing Software Engineering group to revolutionize data science and machine learning. They are accelerating ML development, streamlining the entire ML lifecycle, and driving business value faster.

They are seeking customer-focused, collaborative individuals eager to contribute to their growth. If you’re passionate about empowering global tech innovators to create groundbreaking ML models, this might just be the place for you.

As a Senior AI/Data Product Manager you’ll be designing cutting-edge products empowering engineers to build top-tier products swiftly.

Responsibilities:

  • You will define product requirements, goals, and milestones, collaborating across teams.
  • You will be driving product development with stellar engineering and design teams.
  • You will analyze user data and feedback to inform decisions and track impact.
  • You will incorporate market analysis and research into product development.
  • You will communicate product plans and results effectively to stakeholders.
  • You will monitor and refine launched products to drive the roadmap.

Qualifications:

  • Experience in product management experience, with a focus on MLOps tooling.
  • You have hands-on experience in Data Science or Software Engineering.
  • Ability to work closely with engineers on technical architecture.
  • Experience in UX

HOW TO APPLY

Please register your interest in this role by sending your CV to Luc Simpson-Kent via the apply link on this page.

To Apply for this Job Click Here

Analytics Engineer Manager

Manchester

£90000 - £100000

+ Data Engineering

Permanent
Manchester, Greater Manchester

To Apply for this Job Click Here

ANALYTICS ENGINEER MANAGER

REMOTE FIRST

£90,000-£100,000 +BENEFITS

THE COMPANY

This company is one of the largest gaming businesses globally who are renowned for its huge data functions and big data focus within the organisation. This team is specifically working on the full end-to-end improvement of games with a commercial focus to increase revenue per game.

THE ROLE

As a Analytics Engineer Manager, some of your main responsibilities will be:

  • Manage a team fo 4 data professionals, whilst remaining hands on with the data.
  • Work closely with the cross-functional data engineering team to scale the platform to ensure growth for current games.
  • Define the data roadmap of this team as well as potentially take on management responsibility of the database engineering team.
  • Support and build the transformation layer on top of the database, using some DBT and some orchestration tools (Airflow you will use mainly).
  • Build and optimise data models to support the wider games team.

YOUR SKILLS AND EXPERIENCE

A successful Analytics Engineer Manager will have:

  • Previous management experience is ideal.
  • Must have a high level of writing SQL on databases, ideally Redshift.
  • Proven experience implementing and using data modelling tools.
  • Degree level or higher in a STEM subject.
  • Ideally, if you have any experience across: DBT, AWS, FiveTran, Athena, Glue, DataLake, Iceberg, Airflow
  • Ideal if you have an interest in modern gaming

THE BENEFITS

  • A salary of £90,000-£100,000
  • Comprehensive benefits package, including a 10-18% Bonus potential.
  • WFH – very flexible, ideally into the London office 1/2x a month.
  • Excellent work culture and work environment.

INTERVIEW PROCESS:

  • 1st Stage – Discussion with the Hiring Manager
  • 2nd Stage – Technical Round with C-Suite
  • 3rd Stage – Final stage interview with Engineers and Senior within Analytics Engineer.

HOW TO APPLY

Please register your interest by sending your CV to Lydia via the apply link on this page.

To Apply for this Job Click Here

Computer Vision Engineer

London

£65000 - £90000

+ Computer Vision

Permanent
London

To Apply for this Job Click Here

Computer Vision Engineer

London (Hybrid/REMOTE)

£90,000- + £20,000 equity

This is an exciting new opportunity for a SLAM Computer Vision expert to join a DeepTech start-up!

THE COMPANY

This Deep-Tech start-up is going through a funding round and growing its company substantially. They specialize in leveraging advanced computer vision techniques to process and analyze 3D data. Everyone in the company is an engineering expert, so you’ll be working with technical professionals in the industry, including direct collaboration with C-level executives. Joining at this pivotal stage of their journey, you will lead the existing Computer Vision team and spearhead the development of cutting-edge Computer Vision models using 3D data. This role offers exceptional opportunities for growth and progression.

THE ROLE

As a Staff Computer Vision Engineer, you will:

  • You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline.
  • You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use.
  • Drive the development of the cutting-edge 3D AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing.
  • Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance.
  • Take ownership of project management for AI/Vision initiatives, overseeing end-to-end execution and effectively coordinating data operations.
  • Mentor and empower junior team members, providing guidance and training to foster their professional growth, while actively participating in the hiring process to expand our exceptional 3D AI team.

SKILLS AND EXPERIENCE

  • Hold a degree in a relevant subject, preferably at a PhD or Master’s level.
  • Possess an excellent understanding of and extensive experience with Computer Vision models, particularly in the context of SLAM.
  • Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction.
  • Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS.

SALARY AND BENEFITS

  • Competitive salary range: £65,000-£90,000.
  • Equity ownership in the company.
  • Comprehensive benefits package.

HOW TO APPLY

Please register your interest for this role by sending your CV to Luc Simpson-Kent via the apply link on this page.

To Apply for this Job Click Here

Lead Data Scientist (CDI)

Paris

€75000 - €90000

+ Data Science & AI

Permanent
Paris, Île-de-France

To Apply for this Job Click Here

LEAD DATA SCIENTIST
ILE DE FRANCE
UP TO 90K€ FIXE

C’est une grande entreprise dans le domaine de la construction. Dans le cadre d’un remplacement, l’entreprise recherche son nouveau Lead Data Scientist pour rejoindre ses équipes.

LE POSTE

En tant que Lead Data Scientist vous serez sous les responsabilité du Head of Data Science. En parallèle, vous aurez à manager une équipe de 3 personnes (MLops, Senior Data Scientist et un profil junior). Vos responsabilités au quotidien :

  • Identification des problèmes liés aux opportunités à forte valeur ajoutée et conception d’approches stratégiques
  • Acquisition de données et préparation des modèles de données
  • Développement de solution d’apprentissage automatique ou analytique
  • Tester l’approche sur une partie ciblée de l’entreprise pour valider les hypothèses et confirmer la taille du prix, solution itérative pour optimiser les performances
  • Mettre en œuvre la solution dans l’ensemble de l’organisation, suivre les jalons/performance du projet
  • Développer vers une solution durable « business as habituelle », maintenir et accroître l’adoption dans l’ensemble de l’entreprise

VOTRE PROFIL

  • Diplôme top 10 école d’ingénieur en (Mathématiques, Ingénierie, Informatique…)
  • Expérience d’au moins 5 ans sur un poste similaire
  • Expérience dans la conduite de projets d’analyse statistique/d’apprentissage automatique dans le domaine du conseil ou dans une entreprise commerciale B2B
  • Compétences en gestion de projet ainsi qu’en gestion des parties prenantes
  • Capacité à interpréter et à transférer les résultats des statistiques/modèles dans des formats pertinents et pertinents pour l’entreprise
  • Connaissance pratique de l’apprentissage automatique et statistiques (Python/R) et visualisation des données (PowerBI)
  • Vous savez faire de preuve de leadership et vous n’avez pas peur de prendre des initiatives
  • Communicateur courant en anglais écrit et parlé

POUR POSTULER

Merci de me faire part de votre CV à jour et je vous recontacterai au plus vite.

To Apply for this Job Click Here

Growth Analyst

London

£60000 - £65000

+ Digital Analytics

Permanent
London

To Apply for this Job Click Here

Growth Analyst

£60,000 – £65,000

2 days a week in London

The Company

The Leader in children’s sound system, thinks this sounds boring, well can you imagine your favorite childhood character telling you, their story? Well, 1 in 2 German households can and now with huge growth plans now is the time to get in.

The Role

Come in and work on everything web and marketing, looking at all the data to figure out what is needed and what the key areas are for growth for the company and stakeholders.

Identifying the methods that are best to communicate the facts and findings to key stakeholders in the simplest and easiest-to-understand way.

Your skills and experience

The successful applicant will have the following skills and experience:

  • Google Analytics – or web analytics tool
  • SQL

How to apply:

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

To Apply for this Job Click Here

GCP Senior (Big Data) Data Engineer

London

£550 - £700

+ Data Engineering

Contract
London

To Apply for this Job Click Here

GCP (Senior) Data Engineer

£700 a day, Inside IR35.

Hybrid, based in London/Birmingham.

6-Month Contract, likely to extend past

Great opportunity to join an exciting project with a major client to aid in building out a monster data platform. This is a very progressive platform that serves both data engineering and analytics purposes for a large conglomerate.

The Role and Responsibilities

The ideal Senior Data Engineer will be:

  • Shaping the way the business will store data.
  • Working as the sole Data Engineer within a pod, driving Data Engineering efforts.
  • Productionising SQL code.
  • Interacting with stakeholders and managing that relationship.
  • Making sure the data is real-time/batch processed.

Desired Skills and Experience

The ideal (Senior) Data Engineer will have a background in the following:

  • GCP cloud (BigQuery and other functions).
  • Strong programming experience with Python and SQL.
  • Big Data tools such as Kafka and Pub/Sub.
  • Working knowledge of Terraform.
  • Nice-To-Have: commercial experience with Google Analytics and/or Adobe Analytics.
  • Strong experience liaising and managing stakeholder relationships.
  • Strong communication skills are a must.

How To Apply

If you are a GCP (Senior) Data Engineer and interested in this role, please apply by clicking the link below.

To Apply for this Job Click Here

Growth Analyst

London

£60000 - £65000

+ Digital Analytics

Permanent
London

To Apply for this Job Click Here

Growth Analyst

£60,000 – £65,000

2 days a week in London

The Company

The Leader in children’s sound system, thinks this sounds boring, well can you imagine your favorite childhood character telling you, their story? Well, 1 in 2 German households can and now with huge growth plans now is the time to get in.

The Role

Come in and work on everything web and marketing, looking at all the data to figure out what is needed and what the key areas are for growth for the company and stakeholders.

Identifying the methods that are best to communicate the facts and findings to key stakeholders in the simplest and easiest-to-understand way.

Your skills and experience

The successful applicant will have the following skills and experience:

  • Google Analytics – or web analytics tool
  • SQL

How to apply:

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

To Apply for this Job Click Here

Senior Developer Back-end PHP

Montpellier

€55000 - €65000

+ Data Engineering

Permanent
Montpellier, Languedoc-Roussillon

To Apply for this Job Click Here

Senior Developer Back-end PHP
Montpellier
Télétravail flexible
Jusqu’à 65K euros

Je recherche un profil Developer Back-end sur PHP pour une entreprise BtoB, spécialisée en édition de logiciels et en pleine croissance.

Missions :

  • Développer une API sur des composants Symfony
  • Développer les tests unitaires / fonctionnels
  • Rédiger et maintenir la documentation technique
  • Réaliser une veille technique et marché en cohérence avec les missions confiées
  • Participer au développement de la notoriété de la Société sur son marché

Compétences recherchées:

  • Bac+5 grande école d’ingénieur requis
  • Minimum 3 ans d’expérience post-diplôme
  • Maîtrise de PHP et Symfony
  • Expérience côté hébergeur/éditeur de logiciel fortement appréciée
  • Connaissances de Git, MongoDB, ElasticSearch, Redis, Docker

To Apply for this Job Click Here

Senior Data Engineer

London

£70000 - £75000

+ Data Engineering

Permanent
London

To Apply for this Job Click Here

SENIOR DATA ENGINEER

Salary: £75,000

LONDON

This is an extremely technically driven company offering many benefits. They are data-driven and are situated globally, streaming and using data to best help their customer.

THE COMPANY

This global healthcare company is becoming more driven by Data and Analytics and is looking for a Senior Data Engineer to deliver actionable and meaningful work. This company has a vast amount of global data to work through and, you will be working closely with talented data engineers, using modern technologies to deliver essential insight that will allow the company to continue growing.

THE ROLE

As a Senior Data Engineer, you can expect to help build a system that will in turn benefit the organization and make them more efficient and profitable.

In specific, you can expect to be involved in the following:

  • Looking after the Azure infrastructure
  • Building and Maintaining ETL pipelines
  • Helping mentoring the more junior data engineers.

The successful Senior Data Engineer will have the following skills and experience

  • Full Proficiency in Azure, Python, CI/CD.
  • Azure Databricks
  • Docker and Kubernetes would be desirable as well as Airflow.

THE BENEFITS

HYBRID WORKING PACKAGE

HOW TO APPLY:

Please register your interest by submitting your CV to Callum Aris via the apply link on this page.

To Apply for this Job Click Here

Growth Analyst

London

£60000 - £65000

+ Digital Analytics

Permanent
London

To Apply for this Job Click Here

Growth Analyst

£60,000 – £65,000

2 days a week in London

The Company

The Leader in children’s sound system, thinks this sounds boring, well can you imagine your favorite childhood character telling you, their story? Well, 1 in 2 German households can and now with huge growth plans now is the time to get in.

The Role

Come in and work on everything web and marketing, looking at all the data to figure out what is needed and what the key areas are for growth for the company and stakeholders.

Identifying the methods that are best to communicate the facts and findings to key stakeholders in the simplest and easiest-to-understand way.

Your skills and experience

The successful applicant will have the following skills and experience:

  • Google Analytics – or web analytics tool
  • SQL

How to apply:

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

To Apply for this Job Click Here

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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
  • Google
  • 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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