Fortice | Lead MLOps Engineer

Fortice
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

*This position requires candidates to hold an active enhanced DV Clearance upon application*


You have a passion for harnessing and channelling the power of AI to make a positive impact, but feel hamstrung by your employer, who are more focused on selling you against particular projects, than unleashing your full potential.


You want to work with the brightest minds, working on cutting-edge technology to create and deliver bespoke and novel solutions to the problems faced by organisations in the National Security sector.


You have led teams of Data Scientists, Machine Learning Engineers, and DevOps engineers. You also have experience gathering requirements from and delivering demos to clients in the secure sector.


If you have been nodding along so far, this super unique opportunity could be right up your street!


In joining this scale-up business in central Manchester, you would be the first hire holding DV clearance and would be the driving force to further drive into the NatSec space. Working collaboratively with a brilliantly bright team of Engineers, and the founders, you'll own the delivery of client projects, from discovery to completion and handover.


As well as client work, you will also have time set aside for R&D projects, to ensure you keep on top of the fast-moving AI/ML landscape.


Your technical experience will include the following:


  • Experience writing and deploying production-grade Python.
  • Leadership, management and mentoring of other engineers.
  • Cloud computing, with modern DevOps practices and IaC tools.
  • A strong opinion on your IDE/editor of choice
  • Familiarity with TensorFlow, Keras, PyTorch or SKLearn.
  • MLOps experience is not essential, but some awareness of this emerging space is beneficial.


Package details:


  • To £75,000 base salary + 10% clearance bonus
  • Equity option scheme
  • Hybrid working (Monday, Wednesday and Thursday in the office)
  • Lunch and learns - amazing food provided!


For further details, please either apply, or message me directly via LinkedIn.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.