Top Machine Learning Jobs in Bristol

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.

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.

Conduct original research in robot learning and embodied AI, developing multimodal, reinforcement-learning, imitation-learning, and foundation-model methods for physical robots. Design rigorous experiments, build prototypes, validate systems on hardware, and improve robustness, safety, transfer, and continual adaptation. Collaborate with engineering teams to deploy reliable robot behaviors, communicate findings through reports and publications, mentor colleagues, and shape the embodied-AI roadmap.

Develop and deploy complex machine learning and analytics models, process large datasets, and deliver solutions through production. The role covers the full data analytics pipeline, including data ingestion, cleaning, feature extraction, modeling, validation, visualization, and reporting. The data scientist will collaborate with clients, software engineers, underwriters, and globally distributed teams while maintaining high-quality, maintainable code and continuing technical development.

Complete a 12.5-month undergraduate placement within Airbus Flight Physics, contributing to aircraft aerodynamics, loads and aeroelastics, mass properties, wind tunnel testing, or capability development. Interns will own a primary technical project, perform additional tasks, develop technical and project-management skills, communicate effectively, and support innovative aircraft design capabilities.

Supports Airbus’s Virtual Product Engineering team in developing modelling and simulation approaches for future aircraft design. Responsibilities include combining aerodynamics, structures, and systems simulations for multidisciplinary analysis and optimisation, and exploring AI, machine learning, agent-based modelling, and quantum computing. The placement involves applying these techniques to aircraft and air transport engineering problems, documenting findings in technical reports, and collaborating with international engineering teams.

Undergraduate placement in Airbus’s structures test team, supporting aircraft component and materials testing. Responsibilities may include designing test fixtures, developing measurement and data-acquisition methods, performing hands-on testing, using AI and data-driven platforms, virtual simulation, cryogenic facility development, and advanced structural testing. The role is based at AIRTeC in Filton and supports future aircraft certification and sustainable aerospace technologies.

Student engineer placement supporting Airbus wing architecture and integration. Responsibilities include developing configuration management and digital mock-up processes, automating design and stress activities with multiple programming languages, performing data analytics, developing machine learning algorithms, applying VR/AR techniques, and supporting migration from Microsoft server applications to Google cloud applications. The role also contributes to digital transformation across wing and airframe organizations.

Lead and mentor a data science team building ML and LLM solutions for cybersecurity. Translate business needs into research and production ML objectives, prioritize roadmaps, collaborate cross-functionally, and drive technical vision, model development, and operationalization for malware detection and threat analysis.

Build AI and automation solutions using Microsoft Fabric, Power Platform, LLMs, intelligent document processing, agentic AI, and Power BI. Lead responsible AI practices, stakeholder discovery, training, adoption, and MVP delivery across capital project consulting. Maintain billable involvement in Technical Due Diligence engagements, identify client-facing AI opportunities, and support proposals and commercial delivery. The role requires Python, SQL, data pipeline development, governance awareness, strong communication, and UK work authorization.

Designs, builds, integrates, tests, and deploys scalable AI and cloud solutions for clients. Leads discovery, architecture, feasibility assessments, proof-of-concepts, bids, and initial delivery increments. Develops APIs, integrations, and data pipelines; evaluates ML and LLM technologies; and advises stakeholders on responsible AI adoption. The role requires strong software engineering, architecture, client engagement, communication, and technical ownership skills across pre-sales and implementation.

Develop into an Airframe Automation Engineer through a two-year graduate programme. Responsibilities include analyzing and improving engineering business processes, delivering automation solutions from concept to deployment, optimizing workflows with digital tools, and exploring LLM, machine learning, deep learning, and knowledge graph technologies. The role includes rotational placements across airframe engineering and digital domains, providing experience in digital transformation, operational excellence, engineering delivery, and technical governance.

Participate in Airbus’s two-year graduate development programme within the Structures Test team. Rotate across test leadership, mechanical test means engineering, advanced test technologies, and test operations. Support structural testing of materials, components, and aircraft structures; develop measurement, control, data acquisition, simulation, and analytics methods; and contribute to sustainable aviation projects including lightweight materials and hydrogen-powered propulsion testing.

Two-year Airbus Global Graduate role developing software capabilities that support aircraft flight physics and overall aircraft design. Rotational placements will involve software development, automation, machine learning, data analysis, cloud computing, numerical modelling, and collaboration with aerodynamics, loads, aeroelastics, and mass-properties teams. The programme includes technical and soft-skill training, mentoring, project work, and leadership development.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Adjudicate automated vessel detections humans cant resolve: identify dark/spoofed/low-confidence contacts, investigate AIS/GNSS manipulation and ownership, produce sourced identification records, and supply labeled ground truth to improve detection models.

Drive end-to-end B2B sales of Data and AI consulting services in the US market. Responsibilities include prospecting, pipeline generation, solution selling, account planning, business-case development, executive stakeholder engagement, partner collaboration, and closing enterprise and mid-market opportunities involving Databricks, Lakehouse modernization, data engineering, analytics, AI/ML, and GenAI.

Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative problems. Develop expert prompts, datasets, and reference solutions; identify statistical and methodological errors; and provide structured feedback to improve model performance. The role requires Python, machine learning, statistics, data analysis, experimentation, Pandas, and data modeling skills.

Supports the design, development, and deployment of applied AI systems under senior engineer guidance. Contributes to AI feature development, follows engineering standards, participates in code reviews and technical discussions, and builds expertise across modern AI and cloud technologies. The role emphasizes learning, collaboration, and progression toward more senior engineering responsibilities.

Leads a global team of Defence and Intelligence pre-sales solution architects. Develops technical sales strategies, designs geospatial and Earth Observation solutions for military and ISR workflows, leads customer demonstrations and pilots, supports complex government procurements, and partners with sales, product, engineering, professional services, and defense organizations. Requires deep defense intelligence expertise, geospatial architecture knowledge, leadership experience, and active or obtainable security clearance.

Own technical and strategic hiring across AI, machine learning, infrastructure, software engineering, product, and leadership roles in the UK. Build long-term relationships across the AI and technology ecosystem, engage passive candidates, attend industry events, and partner directly with founders and senior leaders. The role requires credible technical conversations, autonomous decision-making, strong ownership, and occasional support for broader People topics.

Leads the architecture and delivery of complex Azure, Microsoft 365, cloud, and AI solutions for strategic customers. Translates business needs into secure, scalable architectures; manages requirements, design governance, technical quality, deployment, and stakeholder alignment. Acts as a trusted technical advisor, drives presales and delivery outcomes, develops reusable intellectual property, mentors architects, and promotes Microsoft technologies through thought leadership and customer engagement.

Lead technically complex product work on Rosso, embedding with ML, data science and engineering teams to turn business and customer needs into shipped features. Define success criteria for models/forecasts, manage edge cases and operational risk, and prioritize work across portfolio, forecasting, pricing optimisation and related systems.

Leads the design and scaling of Databricks-based data, analytics, and AI platforms supporting global customer operations. Builds enterprise data pipelines, machine learning, NLP, generative AI, conversational AI, dashboards, and operational intelligence solutions. Establishes governance, data quality, CI/CD, reliability, and AI lifecycle standards while partnering with product, operations, engineering, workforce management, and AI teams. Provides technical leadership, coaching, and mentorship to engineers and data scientists.

Lead Mitek’s EMEA revenue strategy and execution across direct enterprise and channel sales for identity and fraud prevention platforms. Own regional growth, forecasting, pipeline, account expansion, partner ecosystem development, customer adoption, and revenue targets. Manage enterprise sales and account teams, negotiate complex multi-year agreements, support regulated-market customers, and report performance to the CRO while collaborating with Product, Engineering, Finance, Legal, Compliance, Customer Success, and global channel teams.