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Machine Learning Engineer

Posted 25 Mar 2024
Work experience
2 to 5 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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Job description

Roles & Responsibilities

  • Client Project Delivery: A Machine Learning Engineer would typically manage a team of Data Scientists and Data Engineers on specific engagements or workstreams, focused on productionising existing AI solutions designed for processing large data sets (e.g., using a Hadoop framework) that accelerate our clients’ digital journeys. This could include refactoring and optimising existing solution, automating & productionising AI pipelines, and deploying solution into the cloud with best practices, scalability, and auditability in mind.
  • Business Development: Work collaboratively with our business teams and our clients to show the art of the possible and to assess possible value and feasibility of applying data science to help solve specific business problems. This could include demoing to prospective clients, developing data strategies, leading feasibility studies, and supporting RFP responses.
  • Asset Development: Build data science assets (aka ‘accelerators’), in line with our UK and/or global strategy, to ensure we have the platforms and core assets in place to meet market demand. This could also include supporting our continuous improvement process around our own design and development processes e.g. about how we ensure the high quality that our clients require in an efficient manner.
  • Collaboration: Liaise with our advanced data engineering and cloud engineering team for architecture design and model deployment to jointly build solutions and products that will interoperate seamlessly with other elements of the broader information architecture
  • People: As a fast growing highly specialised team, you will be involved in the running and growing of our team, e.g., through involvement in hiring and coaching colleagues, helping with knowledge management, organising team meetings or other events.

The Person

  • Well versed at designing and building big data pipelines with machine learning workloads which are repeatable and scalable for extremely large datasets.
  • Experience with:
  • Deploying latest NLP techniques such as Transformers in production, with awareness of the challenges.
  • Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions
  • Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data
  • Working collaboratively with other members of the Data Science, Data Engineering and Information Architecture teams to innovate and create compelling data-centric stories and experiences
  • Proficient with programming languages in Big Data platforms, like Python, R, Scala
  • Knowledge on at least one of the mainstream deep learning frameworks such as PyTorch, TensorFlow
  • Understanding software development best practices
  • GCP platform: Dataflow, Composer, BigQuery or similar techniques in other cloud platforms
  • MLOps – MLFlow, Kubeflow, BentoML or similar
  • Productionising machine learning pipelines with Apache Beam and Apache Airflow
  • Track record in staying conversant in new analytic technologies, architectures, and languages – where necessary – for storing, processing, and manipulating this type of data
  • Demonstrated Data Science consultancy skills, e.g. running hypotheses workshops, mentoring more junior team members, preparing reports and presenting data science results.
  • Skilled to communicate with a variety of stakeholders in the organization
  • Planning and organisation skills so as to work with a high-performance team, handle demanding clients and multitask effectively and in an agile way
  • Team management experience preferred

Qualifications

  • Strong experience in AI, data science, data engineering and/or other technology related capabilities in one or multiple industries. Experience in Financial Service sector, in particular ESG analytics and risk management, is preferred.
  • BSc (ideally MSc or PhD) in Computer Science, Statistics, Engineering or similar technical field
  • A combination of one or more of the following:
  • Proficient with programming languages like Python, R, Scala,
  • Proficient with Git, Linux, Docker
  • Software Engineering best practices and Object-Oriented Programming
  • Skills in big data technologies like Hadoop, HDFS, Spark, Elasticsearch, Apache Beam, Apache Airflow
  • SQL and NoSQL databases
  • Cloud certification(s) desired such as:
  • GCP – Machine Learning Engineering
  • GCP – Data Engineering
  • Azure – Data Scientist
  • Azure – AI Engineering
  • Azure – Data Engineering
  • AWS – Machine Learning Specialty

To succeed in an ever-changing, and increasingly digital business world, today’s graduates need resilience, curiosity and the motivation for continuous improvement and a focus on quality. At KPMG, trainees are rewarded for their contributions with development opportunities and a host of great benefits, including access to preferential banking and cash towards student loan payments.
The rewards of a career with KPMG…


To succeed in an ever-changing, and increasingly digital business world, today’s graduates need resilience, curiosity and the motivation for continuous improvement and a focus on quality. At KPMG, trainees are rewarded for their contributions with development opportunities and a host of great benefits, including access to preferential banking and cash towards student loan payments.
The rewards of a career with KPMG begin early with Launch Pad, an innovative, streamlined approach to the recruitment process, it allows graduate candidates to enjoy a meaningful experience while securing a job offer earlier than ever.
In short, KPMG is an award-winning employer, where graduates can learn, grow and thrive.

Who we are?
KPMG is one of the UK’s largest providers of Audit, Tax and Consulting services. Working with start-ups to major multinationals, private and public sector, applying insight and expertise to help solve its clients’ biggest issues. Part of a global network, it employs over 13,000 people across the UK.
KPMG’s Audit, Tax & Pensions, Deal Advisory, Consulting, Technology and Business Services programmes offer graduates the chance to work with some of the brightest minds and reach their full potential.

Why Join us?
KPMG offers a breadth of experience across a range of industries such as Retail, Leisure, Charities, Banking, Government and the Public Sector. Delivering innovative, quality-first approaches for diverse perspectives; KPMG welcomes a range of personalities, skill sets and degree disciplines. Thanks to The Academy – a unique learning community created to help trainees develop through workshops and networking events – the support trainees receive is as individual as they are. What’s more, the full-time Professional Qualification Training and Accreditation team is also on hand to help trainees to pass professional exams.

Management Consulting
London
13,500 employees

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