Senior Machine Learning Engineer
Apply locations: Birmingham, Norwich, Newport, Liverpool
Time type: Full time
Posted on: Posted 4 Days Ago
Job requisition id: R0002109
Salary range: £57,954 - £65,400
Position: Senior Machine Learning Engineer
Band: 5
Salary: £57,954 - £65,400 (plus allowance up to £9,000 per annum depending on technical assessment)
Location: Liverpool/Norwich/Newport/Birmingham
Term: Permanent
Hours: Full Time/Compressed Hours
Closing Date: 27/01/25
Are you passionate about data and insights, building skills, and embedding best practice at CCS in this field?
Do you excel at helping stakeholders identify cases where machine learning models can add real value and then develop these models?
Are you ready for a challenge? Join our data strategy team at this exciting time as we embark on a journey to transform the use of data and insights in both our directorate and our organisation.
Job Summary
The role sits at the forefront of identifying, assessing and implementing exciting new data techniques at CCS, as part of the Data Insights and Delivery (DID) directorate.
As a Machine Learning Engineer here at CCS, you will be an influential contributor, collaborating with stakeholders at all levels to deliver meaningful insights and drive data-driven decision-making. You will join our organisation at an exciting time, playing a key role in developing and deploying advanced analytical models and artificial intelligence tools to:
* inform strategic products and services decisions
* support public sector organisations to access and use our services more effectively
* enable our colleagues to focus on value add activities
You will be expected to collaborate in the development and implementation of data science projects. You will drive model performance and deployment, ensuring delivery aligns with business objectives, timelines, and quality standards.
Directorate Overview
The DID team is central to making sure that decisions made within CCS are driven by data and insights. As a directorate, we provide reporting and insight support across all areas of CCS, including:
* supplier research
* framework analysis
* internal performance reporting
We are continuing to enhance our performance analytics capabilities and are looking at ways we can gain a deeper understanding of how our users interact with CCS. We are also expanding our data science strengths and exploring new ways to apply emerging technologies, like Artificial Intelligence (AI) and machine learning.
Team Summary
The Data Engineering team in which this role sits is responsible for designing, building and managing the processes by which data comes into and flows through the organisation based on Cloud and API first principles through the use of the Microsoft Azure platform.
Key Accountabilities:
* Collaboration: Work closely with data scientists, engineers, and product teams to translate prototypes into new products, services, and features.
* Develop machine learning models and algorithms, managing the full lifecycle of model development, from design to deployment, management and iteration.
* Optimisation: Continually improve ongoing reporting and analysis processes, and drive the automation of these processes. Identify optimisation opportunities and enhancements in workflows.
* Problem-Solving: Effectively contribute to the delivery of complex, multi-stakeholder projects that span functions.
* Creating, maintaining, and improving GitHub repositories for smooth and effective team collaboration.
* Collaborate with our data scientists and engineers to develop, implement, and maintain robust machine learning systems.
* Use the agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools. Examples including:
o AWS & Azure
o Python & SQL
o Terraform (and other modern programming languages)
* Review the system designs of others to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
Essential criteria (To be assessed at application stage):
* Experience working in machine learning engineering / DevOps role.
* Demonstrable knowledge of the most appropriate modern standards and practices, and how they are applied.
* Experience in using a variety of prototyping methods and choosing the most appropriate.
* Experience in the design, deployment and lifecycle management of machine learning models in key cloud platforms such as AWS and Azure, using Terraform or other infrastructure as code tools.
* Proven experience with GitHub, including repository creation and maintenance.
Desirable criteria:
* Excellent communication skills. Able to convey the benefits of data science approaches and inspire curiosity and creativity in others. Translating the complex into the simple to gain understanding and advocacy for our work.
In the event of a high number of applications, the desirable criteria will be used as a second sift.
Success profiles (To be assessed at interview stage):
Technical
* Stakeholder engagement
Behaviours
* Managing a Quality Service
* Changing and Improving
* Delivering at Pace
Experience
(A link to the Civil Service Success Profiles Framework is provided below)
DDAT Framework for the Role
What we will offer you, here are some of the benefits you can expect:
* Competitive salary
* Generous pension scheme
* A discretionary non-contractual performance related bonus
* Working remotely in addition to working in advertised office location
* Flexi time scheme (available for B1-B6)
* Minimum 25 days annual leave to a maximum service related 30 days excluding bank holidays
Explore fully how we will reward your work.
Want to make a difference? Find out more about the rewarding work that we do in our candidate pack.
The Civil Service is committed to attract, retain and invest in talent wherever it is found.
To learn more please see the Civil Service People Plan and the Civil ServiceD&I Strategy.
We want to make our recruitment process accessible to everyone, so if there is any way that we can support you, please contact recruitment@crowncommercial.gov.uk
Working flexibly, delivering outcomes
CCS is a flexible business with a smarter working model where our colleagues benefit from a mix of home and office working. Successful candidates are expected to work from one of the office locations listed. Our current office attendance approach requires a minimum of 26 days per quarter (approx 2 days per week, which may be subject to change) in CCS office locations or off site meetings with suppliers, customers, partners, networking / industry events. This is pro rata for those who work part time. Our smarter working principles mean that our people have the advantage of both office and offsite based collaboration and learning, as well as working from home. This way of working allows us to honour our commitment to being a responsible business, offer flexibility and better work life balance as well as ensuring we deliver our business with confidence and in accordance with our CCS values.
Selection Process
Candidates who are successful at sift will be contacted as soon as possible following the closing date and advised of the interview process in more detail. The sift is due to commence WC 27th January and interviews dates will be held on 10th & 11th February. Interview times are to be confirmed. (Subject to change)
To find out more about our recruitment process please click here
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