Job Description

In this role you will:

  • Scale existing ML models into production on a variety of cloud platforms
  • Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services.
  • Provide best-practice knowledge, reference architectures, and patterns for use across ML engineering and architecture communities
  • Perform technical architecture assessments, analyse and resolve Analytics/ML related architectural problems
  • Working closely with engineering, data science and operations teams to provide improvements and focus areas
  • Communicate and provide guidance to senior client leadership and team Contribute ML Engineering expertise to new sales activities


Who we are looking for:

We are looking for technical professionals from a variety of backgrounds with the willingness and ability to learn quickly, think creatively and drive complex ML Engineering problems to a solution.

We offer extensive opportunities for training and upskilling as part our technical career track, however, we’d typically expect experience in at least two of the following areas:

  • Hands-on experience in development, deployment and operation of data technologies and platforms such as:
  • Cloud Services – AWS, GCP, Azure (and/or others)
  • Data platforms – Big Data (e.g. Hadoop, Spark, Hive, Kafka), Data Warehouse (e.g. Teradata, Redshift, BigQuery, Snowflake), batch/streaming/low latency processing
  • Platform Engineering – DevOps (Ansible, Jenkins, ELK), Containerisation (Docker, Kubernetes), Integration (APIs, microservices, ETL patterns)  
  • Experience in designing and managing key elements of a data and ML platforms: scalable data pipelines, feature stores, data warehouse, metadata, data quality, data security and encryption
  • Experience in developing and architecting software across the full lifecycle from prototype to production.
  • Experience in data and ML strategy, including analytics portfolio management (including experience in FinOps and Cloud operating model), use case design and definition, migration strategy etc


All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected applicable law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

What people are saying about us

"Love love love!

Current Employee - Analyst in London, England.

Pros: Fantastic culture, amazing flexibility, good rewards, varied work/projects, lots of extra-curricular activities/group.

Cons: Salaries competitive but not market leading, work life balance can be questionable at times.

More Accenture UK Ratings and Reviews

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