MI Hiring for Machine Learning Engineer Job at London, England Full Time

We work with all sections of MI5, and you’ll have the opportunity to collaborate with individuals from across the organisation and wider government, each with a unique problem to solve.

We work with data in a wide variety of formats and from a wealth of data sources and no two days are the same. You can become proficient in the breadth of what we do: computer vision, natural language processing, network analysis and much more besides, or choose to specialise in areas of interest.

Data Science forms a core part of MI5’s strategic approach to tackling the vast and complex data landscape. Machine Learning (ML) Engineers and Data Scientists in MI5 are responsible for developing new capabilities, to help analysts to handle the increasing volumes of data.

With senior sponsorship, our goal is to build a series of multi-disciplinary data science teams made up of ML Engineers and Data Scientists who are focussed on pushing science-based analytics and tools from concept and design through to build and production. This might take the form of strategic, longer-term R&D projects to create full-production, scalable and supported capabilities. In addition, there will be short-term, fast-paced tactical work in response to urgent investigations and operations.

Within these teams an ML Engineer is responsible for working closely with software, cloud and data engineers to apply ML models to large-scale data processing such as streaming systems. They will support the ML model lifecycle in an operational context and will collaborate with other data science roles to take newly trained models and integrate these into existing products and services and develop bespoke products to evaluate these models. When scaling models to support enterprise-scale API services ML engineers will be responsible for retraining and re-architecting models to achieve consistency and process optimisation.

• Working closely with our partners and customers via embedded Data Science teams, for example within operational or product teams.
• Working closely with partners across government.
• Helping to shape the organisation’s approach to adoption of AI, for example by focussing on AI ethics, or Green AI Principles.
• Ownership over designing and establishing new ways of working pipelines and practices.

Depending on your interests, the role may involve both national and international travel to build the team’s partnerships with other government organisations.

Essential Skills

• Python programming
• Containerisation including Docker
• Experiences of agile working practices
• Experience developing in a Linux environment
• Team working and collaboration

Desirable Skills

• Basic ML theory
• DevOps
• AWS Cloud experience
• Openshift experience
• Experience developing and supporting production systems

• Responsibility for delivering new processes for developing, testing, and deploying new data science-enabled capabilities for the organisation.
• Acting as a software engineer SME within the data science community, assisting the development of others and providing guidance and specialist support.
• Supporting products owned by the team, working with users to identify and fix defects.
• Responsibility for delivering initiatives to establish and improve our continuous improvement practices to shape ways of working in the team and wider community.
• Ensuring the team are developing and implementing best practices for ML product deployment
• Supporting and mentoring less experienced colleagues
• Optional line management responsibility for 1-2 staff members if this aligns to your development goals

Job contact :

Name :
Recruitment
Email :
[email protected]

Recruitment team :

Email :
[email protected]