Cloud AI / ML Developer

£54700

G4S, Scotland-wide

Full time
Permanent
Remote working

Posted today, 26 Dec | Get your application in now to be one of the first to apply.

Closing date: Closing date not specified

job Ref: f097601cde1245c3b093b98dd8a8e4b9

Full Job Description

Utilise cloud platforms (e.g. Google GCP) and Cloud AI solutions (e.g. gemini.google.com, notebooklm.google.com) to build and deploy scalable AI solutions.
Process and analyse large datasets to train and evaluate AI/ML models.
Collaborate with data scientists to optimise model performance and accuracy.
Develop and maintain AI/ML pipelines for data ingestion, processing, and model training.
Integrate AI/ML models with existing applications and systems.
Stay up-to-date with the latest advancements in AI/ML and cloud technologies.
Contribute to the development of AI/ML strategy and best practices.

We are seeking a talented and highly motivated AI/ML Developer with strong programming skills in Python or other relevant languages to join our dynamic team. This is a head office role with constant exposure to senior decision makers across the International business in a leading security and facility services company.
Knowledge of data structures, algorithms, and software design principles.
Experience with machine learning frameworks Preferably Hands-on experience with cloud platforms (GCP) and their AI/ML services.
Software and API Development: Experience with software development best practices, including version control, testing, and debugging. Ability to design and develop APIs for AI models.
The AI field is constantly evolving, so staying updated with the latest advancements is crucial as well as having an awareness of ethical considerations in AI development and deployment.
A strong academic background in Computer Science, Artificial Intelligence, or a relevant area of study is highly desirable.
Experience with natural language processing (NLP) or computer vision and experience with containerization technologies (e.g., Docker, Kubernetes) would be a benefit to this role.
Contributions to open-source AI/ML projects is desirable., Data Analysis: Expertise in data cleaning, transformation, and preparation for AI model training. Strong analytical skills to interpret data and evaluate AI model performance.
Data Storage and Processing: Understanding of cloud data storage solutions (e.g., object storage, data lakes) and data processing services
DevOps Practices: Familiarity with DevOps principles and tools for continuous integration and continuous delivery (CI/CD) of AI models.
Communication: Ability to clearly communicate technical concepts to both technical and non-technical audiences., The successful candidate will be required to provide original documentation for detailed screening and vetting processes. These documents may include your passport, driver's license, utility bill (dated in the last 3 months), HMRC letter, original bank statements, an original payslip, your birth certificate, or a valid share code.

Allied Universal®, a leading security and facility services company, provides proactive security services and cutting-edge smart technology to deliver tailored, integrated security solutions that allow clients to focus on their core business. Our 2021 acquisition of G4S expanded our footprint and infrastructure on a global and local level. Through a global workforce of approximately 800,000 people, we leverage best practices in communities all over the world. With revenue of approximately $20 billion and operations in more than 90 countries, we have the resources to deploy efficient processes and systems to help deliver our promise locally: keeping people safe so our communities can thrive. We believe there is no greater purpose than serving and safeguarding customers, communities and people in today's world. Allied Universal is There for you®. For more information, please visit www.aus.com. Total workforce includes employees and subcontractors.

This role can be based in the United Kingdom with the flexibility to work from home, however you will be required to attend on-site locations and our head office in London SW1H 0DB when necessary. 40 hours per week, Monday to Friday. In return we offer a salary up to £54,700, 5 weeks annual leave plus bank holidays, contributory pension scheme and employee benefits such as perks at work.