Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning & AI Engineering Lead

Mars
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

Machine Learning Lead

Machine Learning Engineering Lead

Engineering Manager, Machine Learning Platform

Engineering Manager, Machine Learning Platform Cardiff, London or Remote (UK); London

Experienced Global Talent Acquisition Partner covering Tech & Digital

Machine Learning & AI Engineering Lead | London (Hybrid)

Join Mars on a mission to use data and AI to shape a better world—for people and pets alike.

We’re looking for a “Machine Learning & AI Engineering Lead” to help power Royal Canin’s efforts towards a product lead organisation. You'll play a pivotal role in building scalable AI and ML solutions that unlock innovation across our global business.

Why this role matters:

At Royal Canin, we believe in health through nutrition for pets. We leverage the power of technology, machine learning, and AI to fulfil our commitment to constantly optimize our processes and innovate our products, ensuring better nutrition for pets. By connecting Petcare data ecosystems, building generative AI tools, and automating insight delivery, we aim to enhance nutrition and care for millions of pets. This role is central to making that happen.

What you'll do:

  • Lead a team of engineers to design and deploy AI/ML and generative AI models
  • Architect MLOps and LLMOps pipelines and coach our data science team on scalable, high-quality code
  • Monitor model performance, define KPIs, and continuously improve solutions
  • Collaborate with cross-functional squads to deliver technical products that create real value powered by ML and AI
  • Stay sharp—bring in new thinking, tools, and ideas to drive our capability forward

What you’ll bring:

  • 5–7 years in AI/ML roles (bonus if it’s in CPG, retail, or health)
  • Passion for engineering & strong track record of delivering data-driven solutions that stick
  • Hands-on experience with AzureML, Databricks, MLOps frameworks & CI/CD
  • A strategic, problem-solving mindset and effective communication skills
  • A passion for collaboration, coaching, and continuous learning

What you’ll get:

  • Hybrid working + competitive salary + bonus
  • Access to Mars University + best-in-class development support
  • Work with 130,000 diverse Associates who live our Five Principles
  • A purpose-led culture committed to inclusion, mutuality and making tomorrow better

Disclaimer: Mars is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, 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

Sound like your next move? Apply now or connect with us to learn more.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesFood and Beverage Manufacturing

Referrals increase your chances of interviewing at Mars by 2x

Get notified about new Machine Learning Specialist jobs in London Area, United Kingdom.

City Of London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 2 weeks ago

Data Science & Machine Learning – Elite Talent Wanted

London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 hours ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

Greater London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

AI/ML/CV Software Engineer - London (Russell Group Grads)

London Area, United Kingdom £60,000.00-£80,000.00 6 hours ago

London, England, United Kingdom 4 hours ago

London, England, United Kingdom 1 day ago

Machine Learning Engineer - Up to £150k + Equity

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.