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  • Machine Learning and AI Engineering Lead
  • London, , United Kingdom

    Machine Learning and AI Engineering Lead

    Job Description:

    Royal Canin is undergoing a significant Digital Transformation journey. Our ability to solve the most critical problems across Mars in a User Centric way through Data & Analytics is fundamental to our growth ambition and transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc.

    The opportunities are significant for Mars, and the opportunities for those working in this space are both hugely exciting and rewarding. Connecting and deriving break-through insight from our Royal Canin and Petcare data ecosystems, leveraging the rapidly growing world of external data to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our End-To-End Value Chain.

    Building on this momentum, we are recruiting a Machine Learning and AI Engineering Lead to join our Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda.

    The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements.

    What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A.

    Collaborate with the Data Science team to design, prototype and build next generation ML and AI products and accelerators.

    Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation.

    Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy.

    Review code developed by the data science team to ensure solution can be deployed. Identify opportunities to optimize methodologies.

    Contribute to a high performing data science function through coaching data scientists and providing training on writing scalable code and good software engineering practices.

    Create repeatable, interpretable, dynamic and scalable model training pipelines that are incorporated into analytic data products through cloud web applications and APIs.

    Define key performance indicators (KPIs) and implement monitoring systems for deployed products to ensure continuous operational performance. Define strategy to handle incident management.

    Engage with RC D&A Platform Lead and Platform Product Owner to scope, plan and implement accelerators.

    Stay updated with the latest advancements in MLOps. Apply relevant techniques into projects. Educate D&A on technological advancements in this area.

    Documentation: Maintain comprehensive documentation for model training pipelines, deployment processes, and code.

    Partner with the Product Management squad model and provide advice on how inflight projects can utilise ML and AI to generate additional value.

    What are we looking for? 5-7 years of experience working in a quantitative role preferably in the CPG, or retail industry.

    Proven track record of delivering value through AI/ML/Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.

    Partner with business leadership across functions and data science teams to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.

    Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team

    A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use

    Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.

    Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.

    Ability to translate business needs into analytical frameworks & superior verbal and written communication skills

    Working understanding of ML Ops and DevOps frameworks

    Familiarity with Microsoft Azure tech stack, including but not limited to AzureML, Azure AI Foundry, Databricks

    What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five Principles.

    Join a purpose-driven company where we're striving to build the world we want tomorrow, today.

    Best-in-class learning and development support from day one, including access to our in-house Mars University.

    An industry-competitive salary and benefits package, including company bonus.

    Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

    Apply now: Machine Learning and AI Engineering Lead

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    A condom-vending machine.

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  • Bearing

    The horizontal direction of a line of sight between two objects on the surface of the earth. See also absolute bearing and relative bearing.

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  • fruit machine

    n slot machine. Putting “fruit” in a name makes it healthy, right?

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  • Super Stoker

    A member of the Marine Engineering Branch who attended the St. Lawrence College (or equivalent) Marine Engineering Programme, entering the two-year course as a recruit and exiting as a Master Seaman.

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    Marine Engineering Mechanic, Technician, or Artificer. The term stoker derives from the days of coal-fired boilers and steam engines.

  • Absolute bearing
  • Absolute bearing

    The bearing of an object in relation to north. Either true bearing, using the geographical or true north, or magnetic bearing, using magnetic north. See also bearing and relative bearing.

  • Artificer
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    Engineering technician.

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    A loosely twisted, two-line light cordage used especially for seizing and as a covering for wire rope. Its most common variant is tarred marline.

  • STAKE DRIVER
  • STAKE DRIVER

    Any engineering-department man

  • Relative Bearing
  • Relative Bearing

    A bearing relative to the direction of the ship; the clockwise angle between the ship's direction and an object. See also absolute bearing and bearing.

  • Cold Iron
  • Cold Iron

    An engineering term meaning that the engines are completely shut down.

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  • Tits Machine

    A good, righteous airplane. Current airplanes need not apply, this is a nostalgic term referring to birds gone by. By all accounts the F8 Crusader was a tits machine.

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  • AI
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    Artificial Intelligence -or- As If

  • Leading Seaman
  • Leading Seaman

    A Leading Seaman (abbreviated LS) is the naval equivalent of Corporal in the Army and Air Force. The current rank insignia of a Leading Seaman is two chevrons. Traditionally, the Leading Seaman's rank badge was a fouled anchor. See Killick.

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Online Slangs & meanings of the slang Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

  • bubble gun machine
  • bubble gun machine

    A condom-vending machine.

  • Bearing
  • Bearing

    The horizontal direction of a line of sight between two objects on the surface of the earth. See also absolute bearing and relative bearing.

  • fruit machine
  • fruit machine

    n slot machine. Putting “fruit” in a name makes it healthy, right?

  • Super Stoker
  • Super Stoker

    A member of the Marine Engineering Branch who attended the St. Lawrence College (or equivalent) Marine Engineering Programme, entering the two-year course as a recruit and exiting as a Master Seaman.

  • Stoker
  • Stoker

    Marine Engineering Mechanic, Technician, or Artificer. The term stoker derives from the days of coal-fired boilers and steam engines.

  • Absolute bearing
  • Absolute bearing

    The bearing of an object in relation to north. Either true bearing, using the geographical or true north, or magnetic bearing, using magnetic north. See also bearing and relative bearing.

  • Artificer
  • Artificer

    Engineering technician.

  • Marline
  • Marline

    A loosely twisted, two-line light cordage used especially for seizing and as a covering for wire rope. Its most common variant is tarred marline.

  • STAKE DRIVER
  • STAKE DRIVER

    Any engineering-department man

  • Relative Bearing
  • Relative Bearing

    A bearing relative to the direction of the ship; the clockwise angle between the ship's direction and an object. See also absolute bearing and bearing.

  • Cold Iron
  • Cold Iron

    An engineering term meaning that the engines are completely shut down.

  • Tits Machine
  • Tits Machine

    A good, righteous airplane. Current airplanes need not apply, this is a nostalgic term referring to birds gone by. By all accounts the F8 Crusader was a tits machine.

  • Learning
  • Learning

    Learning

  • AI
  • AI

    Artificial Intelligence -or- As If

  • Leading Seaman
  • Leading Seaman

    A Leading Seaman (abbreviated LS) is the naval equivalent of Corporal in the Army and Air Force. The current rank insignia of a Leading Seaman is two chevrons. Traditionally, the Leading Seaman's rank badge was a fouled anchor. See Killick.

  • Learning
  • Learning

    Learning

Wiki AI search on online names & meanings containing

Machine Learning and AI Engineering Lead

  • Applications of artificial intelligence
  • and a more recent AI, ChatGPT by OpenAI. Bing Chat has used artificial intelligence as part of its search engine. Machine learning can be used to combat

  • Music and artificial intelligence
  • and given to the AI, with this being known as rule-based systems. As time passed, computers became more powerful, which allowed machine learning and artificial

  • Explainable artificial intelligence
  • AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), is a field of research within artificial intelligence (AI)

  • Adversarial machine learning
  • Adversarial machine learning is the study of the attacks on machine learning algorithms, and of the defenses against such attacks. A survey from May 2020

  • Artificial intelligence in industry
  • and more accessible cloud services for data management and computing power outsourcing. Possible applications of industrial AI and machine learning in

  • History of artificial intelligence
  • In the 90s and 2000s, many other highly mathematical tools were adapted for AI. These tools were applied to machine learning, perception and mobility.

  • Reinforcement learning from human feedback
  • In machine learning, reinforcement learning from human feedback (RLHF) is a technique to align an intelligent agent with human preferences. It involves

  • AI alignment
  • verification, preference learning, safety-critical engineering, game theory, algorithmic fairness, and social sciences. Programmers provide an AI system such as

  • Machine learning
  • Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn

  • Superintelligence
  • likely happen. At the 2006 AI@50 conference, 18% of attendees reported expecting machines to be able "to simulate learning and every other aspect of human