9 of 9 Part-Time Machine Learning Jobs in Bristol

across software, systems, and interfaces. Designing and testing system behaviour under degraded communications, including store-and-forward, prioritisation, and security controls. Deploying and evaluating machine learning models for edge use cases such as computer vision or signal processing, with a focus on measurable performance and operational constraints. Building … around your strengths, interests, and the needs of the business. Possible rotations include: Software Engineering: mobile applications, geospatial tools, systems integration, and test evidence. Machine Learning Engineering: deployable models for edge CV and SIGINT, with measurable performance. Systems Engineering: user need through requirements, architecture, integration, verification, and fielding. ...

keen learners Empathy and people skills Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within … groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience ...

lifecycles and model-based systems engineering approaches. Knowledge of one or more of: SysML, Enterprise Architect Tactical networked C4ISR systems Autonomous platforms Cloud technologies Machine learning Safety and security assurance About you Pragmatism: You will adopt a decisive, precise and pragmatic approach to both delivery and the development ...

ensure solutions are technically robust and operationally effective. Across the business were working on challenges including soldier systems, C4I integration programmes, AI/ML capabilities, and new product development. These programmes combine software, hardware, networks and data, often operating in denied, disrupted or constrained environments. We value practical engineering ...

deployment and resolution. Desirable Experience deploying or supporting systems in live operational or mission-critical environments. Experience with one or more of AI/ML, data engineering, geospatial systems or edge computing. Experience deploying solutions into disconnected, bandwidth-constrained or otherwise challenging environments. Experience working in defence, national security, emergency ...

specialist input without losing ownership of the overall solution. However, wed welcome applications from those with more specialised depth in AI, Data Science or Machine Learning. Proven ability to engage externally with customers, partners, or programme stakeholders with clarity and confidence. Experience shaping viable technical and delivery approaches … regulated, or government environments. Familiarity with service governance and live service assurance models. Experience working alongside data, security, or platform architects, AI engineers or Machine Learning Engineers Knowledge of common architecture frameworks and patterns used in large-scale systems. About you You are confident setting technical direction ...

team. Here, youll be empowered to exploit the latest technologies, cloud services and toolchains to deliver secure, reliable, best-in-class information systems and machine learning services in the Defence, Security and Emergency sectors. Youll work across software, infrastructure, and integration boundaries: automating, deploying, and improving complex systems. ...

This is a high-impact opportunity to shape the foundations of one of the UKs most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, youll be hands-on in delivering the platform vision and improving engineering experience. Youll play a critical role … self-service infrastructure, seamless CI/CD, and strong observability, while also supporting API-first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through high-quality engineering - setting standards and patterns that teams can adopt with confidence. ...

high-impact opportunity to build the engineering foundations of one of the UK's most exciting technology companies. Working closely with Software, Infrastructure, ML, IT, Product, QA, and Security teams, you'll lead the delivery of the platform vision, define its architecture, and raise the standard of engineering practice across … deliver robust platform services, establish the patterns for self-service infrastructure, CI/CD, and observability, and drive the integration of AI/ML capabilities across the organisation. You'll translate platform strategy into a coherent technical roadmap, setting standards that teams across our client can build on with confidence. ...