MLOps Engineering Manager

Accenture
Sheffield, England
12 months ago
Applications closed

Related Jobs

View all jobs

Solutions Architect, Financial Services - Data Center and Infrastructure

NVIDIA Reading, United Kingdom

Solutions Architect, Financial Services - Data Center and Infrastructure

Director, AI Engineering

Faculty AI London, United Kingdom
Hybrid

Data Platform Solutions Architect (Professional Services)

Databricks London, United Kingdom
£40,000 – £120,000 pa Hybrid

Resident Solutions Architect (Professional Services)

Databricks London, United Kingdom

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom
Posted
7 May 2025 (12 months ago)

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.