Top Machine Learning Jobs in Bristol

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

As a C++ Engineer, you will develop machine learning features, integrate models, maintain SDKs, and collaborate across teams for software performance and enhancements.

As Senior Product Manager, you'll lead the integration of global airline partners, optimize supply metrics, and enhance product specifications for seamless booking automation, focusing on AI solutions and API performance.

The Staff Engineer (ML Engineer) will benchmark ML models, validate frameworks, develop automated testing pipelines, and collaborate with software teams to ensure performance and correctness of ML systems.

The Senior Software Engineer (ML QA) will design and maintain automation, develop CI/CD pipelines, mentor junior engineers, and ensure high software quality in machine learning projects.

The Senior ML Engineer will benchmark ML models, validate functionality across environments, develop testing pipelines, and collaborate with software teams on product quality.

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.

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

The Senior Credit Risk Analyst will oversee credit risk strategies, manage performance of scorecards, produce MI reports, and drive risk improvement initiatives.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Design, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

The Customer Success Manager will onboard and support Portuguese utility accounts, ensuring effective use of digital twin technology and driving long-term partnerships and customer satisfaction.

The Data Scientist will analyze data, build and refine machine learning models, document technical designs, and collaborate with multidisciplinary teams to deliver AI solutions.

The Executive Partner manages a portfolio of clients, providing expert guidance in Data & Analytics, mentoring executives, and ensuring client value through various engagements. Responsible for retention and growth, the role emphasizes collaboration with internal teams and requires strong executive presence.

Lead cross-functional teams of machine learning engineers and data scientists, driving technical direction and fostering a collaborative environment to develop high-quality ML-driven capabilities.

The role involves analyzing biological mass spectrometry data, developing software tools, and scaling workflows for AI and human consumption in drug safety assessment.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

The Channel Account Executive manages strategic partners, develops business plans to achieve revenue targets, and enhances partner relationships to drive growth and profitability.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

The Customer Value Architect will engage with customers to ensure the effective adoption and value realization of the Neara platform, focusing on ROI metrics and customer relationships.

Lead clinical studies by providing statistical support, employing advanced analytical methods, and collaborating with cross-functional teams to optimize clinical development processes.

The role involves building infrastructure for training open source foundation models, with emphasis on autonomy and contributing in a dynamic team.

The Director of Data & Analytics will lead financial crimes advisory engagements, mentor teams, ensure quality deliverables, identify business opportunities, and develop strategic relationships while managing client expectations and risks.