MLOps Engineering Manager

Accenture
Leeds
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

Senior MLOps Engineer

AI/MLOps Platform Engineer

Job Title: ML Ops Engineer, Manager, CL7

Location: London/Bristol/Manchester

Salary: Competitive salary and package (Depending on level of experience)


Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application.


Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.


We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognised worldwide not just for business performance but for inclusion and diversity too.


“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO


As an Manager in MLOps you will:

  • Be engaged at the forefront of technological advancements in GenAI and expected to keep up to date with latest trends
  • Set up the infrastructure to deploy LLMs and ML models from in the Cloud, or on HPCs
  • Lead the day-to-day technical engagements on a project, helping to manage a small team
  • Be the go-to technical expert for all things MLOps
  • Contribute to improving life at Accenture and the wider department by raising your voice and engaging – we want to hear your views!
  • Performance manage a small team


We are looking for experience in the following skills:

  • Robust programming skills (Python is essential)
  • An understanding of ML models, including versioning, deployment and training.
  • Experience with Docker, Linux/Unix CLI, Git, and testing.
  • Experience with one of a major cloud platform (preferably AWS, or Azure platform).
  • Knowledge of data governance and security best practices.
  • Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation


It would also be great if you have:

  • Basic familiarity with utilizing GPUs in the cloud environment
  • Familiarity with monitoring tools and techniques for ML models and data pipelines
  • Experience building APIs
  • Demonstrable experience with modern CI/CD pipelines
  • Knowledge of good DevOps and Data Engineering practices


As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to:


Communicate effectively verbally and in writing, demonstrated through:

  • Effectively explain complex technical solutions to a non-technical audience
  • Writing meaningfully to deliver clear information, and guidance
  • Giving impactful presentations, articulating clearly key points


Demonstrate critical thinking by:

  • Analysing and evaluating information
  • Using information gathered to present solutions and reach decisions
  • Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems


Work in partnership with others to:

  • Effectively manage both internal and external stakeholders to ensure synergy
  • Collaborate meaningfully with all parties to ensure outcomes are reached effectively


Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered.


What’s in it for you


At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!


Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.


About Accenture

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialised capabilities across more than 40 industries — powered by the world’s largest network of Advanced Technology and Intelligent Operations centres.


With 509,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises.

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.