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Data Engineer
2 months ago
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments.
We are looking for experienced Data Engineers to join our team following continuous growth and success in the UK Government sector.
We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions.
Our projects are spread across the Data Science lifecycle from delivering Research and Proof of Concept models, to building and delivering operational solutions.
Machine Learning (ML) Engineers are responsible for designing, implementing, deploying, and maintaining artificial intelligence (AI) systems. They work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. The role requires a strong foundation in software engineer, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, ML Engineers are expected to keep aware with the latest advancements in artificial intelligence and machine learning technologies, ensuring that solutions are both innovative and effective. Collaboration with cross-functional teams is essential to integrate ML models into larger systems and applications. Knowledge of DevOps and MLOps is needed to ensure they can integrate with wider delivery teams.
Engineer and implement machine learning (ML) solutions: Able to own the end-to-end process and lifecycle of ML systems.
Continuously explore the latest ML and AI advancements to identify methods that can enhance current systems.
Collaborate with data scientists: Work closely with data scientists to refine, optimise, and implement models based on prototypes.
Data management: Ensure the quality and accessibility of data used for machine learning projects is appropriate, collaborating with data engineers as necessary.
Data analysis: Perform analysis of large datasets to uncover trends, patterns, and insights that inform model development and deployment.
Monitor model performance: Regularly evaluate deployed models, identifying performance gaps and opportunities for optimisation.
Create and refine the model development and deployment strategy for better efficiency and results
Adhere to policy and ethical AI standards: Ensure all machine learning practices comply with policy processes and guidelines.
Guide cross-functional teams in the implementation and integration of machine learning projects.
Develop and deploy ML prototypes within the business, testing feasibility and impact.
Cloud Skills and Expertise : Use cloud-based environments to facilitate scalable machine learning model development and deployment across the MLOps lifecycle.
Cloud ML Services : Able to integrate pre-built cloud capabilities into a system.
Data Engineering, Analysis or Science, with a solid understanding of programming languages along with experience of applying them in your previous role
Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. A good understanding of Open Source software for Data Engineering and can evaluate these platforms against products. An understanding of maintaining and applies up to date, specialist knowledge of database concepts (including unstructured, NoSQL and ”big data” platforms), object and data modelling techniques.
Previous experience working in the domain of Cyber Security and Intelligence is desirable, but not essential.
Work-life balance is important; you’ll get 25 days holiday a year and, via our flexible benefits package the option to buy/sell and carry over from the year before
You can work around core hours with flexible and part-time working
Our flexible benefits package includes; private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more
You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE
You’ll be part of our bonus scheme
You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing.
Travel
Please note as a Data Engineer you may be required to work on client sites that are away from your base location. In this instance, all travel and expenses costs will be covered. This will not be applicable to all Engineering projects so If you have concerns about this; Security Clearance
Only those with the permanent and unrestricted right to live and work in the UK will be considered for a position within BAE Systems Applied Intelligence. guidance/security-vetting-and-clearance
Life at BAE Systems Digital Intelligence
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.
By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence.