Top Machine Learning Jobs in Bristol

Lead and manage an ML engineering team building post-origination credit models for repayment, collections, recovery, and loss mitigation. Define technical strategy, design and scale ML solutions, partner with product, engineering and risk, mentor engineers, and operationalize models to minimize loan loss and personalize collections.

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Lead scientific and strategic AI efforts for Vaccines Medical: define AI vision and roadmap, govern responsible AI standards, prioritize and deliver validated AI-enabled solutions, partner cross-functionally, oversee deployment and adoption, manage budget and vendors, and ensure regulatory, ethical, and scientific compliance across global medical affairs.

Perform malware and threat research across the attack lifecycle, validate and improve Falcon detections, collaborate with engineering and ML teams, automate analysis, support external security testing, and translate findings into product protections.

Validate and benchmark ML models across Graphcore's software and hardware stack. Build automated benchmarking pipelines, run open-source models, create targeted tests for numerical precision, quantisation, attention, distributed execution and model subgraphs, and debug performance and correctness issues.

Design and build scalable test infrastructure, automation, and tooling to validate ML software stacks and hardware. Shape test architecture across large codebases, CI pipelines, and representative ML workloads. Mentor engineers and improve testing practices to increase reliability and performance.

Validate and benchmark ML models and the Graphcore software/hardware stack. Design and run automated benchmarks, targeted tests for numerical precision, quantisation, attention and distributed execution, expose regressions and performance limits, run open-source models, debug system and model behaviour, and collaborate with software, infrastructure and hardware teams.

Join a hybrid Bristol-based engineering team designing, integrating, and delivering robust systems for degraded or denied operational environments. Responsibilities include translating user needs and CONOPS into requirements, applying systems engineering lifecycles, leading integration and architecture tasks, assessing trade-offs and risks, ensuring safety/security compliance, and mentoring junior engineers. SC clearance eligibility required.

Lead and grow a distributed engineering organization building customer-facing security capabilities: proprietary scanners, AI/ML detection engines, agentic remediation, vulnerability management, and security foundations. Set vision and roadmap, drive architecture and delivery, partner with product management, establish engineering standards, and represent the group in cross-functional and customer forums.

Support development, maintenance and monitoring of credit risk decision models (application, behavioural, collections) and affordability solutions. Produce data using SAS, apply regression and machine learning techniques, monitor model performance, generate insights, and present findings across the business to optimise lending decisions.

The Staff Software Engineer (ML QA) will design, maintain test automation for ML software, and mentor junior engineers while fostering a culture of software quality.

Work with UWE Bristol and Viper Innovations to develop advanced analytics and machine learning algorithms for electrical distribution systems. Build data pipelines, manipulate large datasets, design and test experimental methods, and deliver product features that extend operational life of control and distribution equipment. 24-month KTP role with training and mentorship.

Lead design and delivery of secure, scalable enterprise software for private banking. Build reusable frameworks, integrate AI/ML, ensure operational stability, mentor engineering teams, and influence senior stakeholders to drive digital transformation.

Use data analytics to detect, investigate, and prevent financial crime. Collect, clean and analyse large datasets, support fraud detection and monitoring, build statistical and ML models, produce visualisations and present findings to senior stakeholders, and collaborate with IT, legal and compliance on investigations and controls.

Provide technical leadership for solution design and assurance across pre-sales and delivery. Translate ambiguous customer needs into costed, deliverable architectures for sensing, AI, communications and edge environments; assess hosting, integration and platform options; manage technical risks; produce bid and governance artefacts; engage stakeholders and support contract mobilisation to ensure coherent end-to-end delivery.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Develop and optimise large-scale ML models for Graphcore hardware, scale training/inference across thousands of accelerators, benchmark and debug performance, run experiments, collaborate with Research and Software teams, and contribute code reviews and community engagement.

Lead enterprise sales for Media & Entertainment in the UK: develop market strategies, engage customers and partners, drive adoption of NVIDIA solutions, create references/case studies, identify emerging use cases, and act as NVIDIA's central ecosystem contact to grow business and partnerships.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Serve as the technical AI/ML lead in customer engagements: translate customer needs into robust solution designs, build stakeholder relationships, contribute to proposals and product roadmaps, prototype approaches, and ensure delivered ML systems are operationally valuable.

Lead and develop a team of ML specialists to deliver production ML systems for fraud and financial crime. Set priorities, ensure model lifecycle practices (development, deployment, monitoring, governance), partner with Product, Risk, Engineering and Data, and raise standards for performance, explainability, reproducibility and observability while building an inclusive high-performing team.

Build and extend the platform layer: design shared backend services and APIs, improve reliability and correctness, collaborate with product teams to remove platform bottlenecks, mentor engineers, shape architecture and migrations, and write high-quality fullstack code with a backend focus.

The EMEA Events Marketing Manager will develop and execute strategic event marketing programmes while overseeing multiple projects, ensuring high-quality attendee experiences, and collaborating with cross-functional teams.

Lead and scale Mimica's product organisation, define global product strategy and roadmap for AI-driven task/process mining and automation, mentor product and design teams, improve product operations and discovery, align cross-functional stakeholders, handle escalations, and hire and forecast team needs.