Top Machine Learning Jobs in Bristol

Leads positioning, messaging, go-to-market strategy, launches, sales and channel enablement for Sophos AI cybersecurity solutions. Develops category narratives, launch assets, competitive intelligence, analyst relationships, customer feedback programs, and partner enablement. Collaborates cross-functionally with product management, research, sales, marketing, and channel teams to translate technical capabilities into differentiated market stories and pipeline outcomes.

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.

Develop and evaluate machine learning models for customer feedback, including classification, extraction, summarization, sentiment analysis, retrieval, reranking, and semantic search. Build LLM-powered features, evaluation frameworks, fine-tuning pipelines, and model integrations. Collaborate with Data Science, Engineering, and Product teams to translate requirements into experiments and production solutions, while monitoring research and documenting work clearly.

Owns ActAI’s global technical recruiting function, including hiring strategy, senior engineering and AI searches, recruiting team leadership, talent assessment standards, executive partnership, and scalable recruiting processes across the US, Europe, and Asia. The role combines hands-on headhunting with building and coaching a high-performing technical recruiting organization.

Develop and optimize machine learning and generative AI solutions for digital agents, including LLMs, NLP, RAG, retrieval, experimentation, evaluation, and statistical analysis. Build scalable data and ML pipelines using Python, SQL, and Spark; assess model quality, reliability, safety, and business impact; and support production deployment. Collaborate with engineering, product, and data science teams while mentoring less experienced colleagues.

Guide clients through Cordial platform implementations, third-party integrations, API and JavaScript integrations, data modeling, dynamic scripting, and machine learning capabilities. Serve as a technical subject matter expert, resolve complex issues, manage projects and stakeholder expectations, document solutions, and collaborate with Product, Engineering, Client Success, Support, Strategy, Sales, and partners to drive adoption and successful client outcomes.

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.

Own the vision, roadmap, development, launch, and continuous improvement of an AI chatbot. Responsibilities include market and competitive research, requirements gathering, stakeholder coordination, UX collaboration, NLP and machine learning enhancement, performance analysis, go-to-market planning, user adoption, and product iteration. The role also requires customer engagement, software sales knowledge, automotive market familiarity, strong communication, negotiation, and technical aptitude.

Conduct and publish original research in artificial intelligence, digital manufacturing, robotics, digital twins, and related engineering disciplines. Develop and deliver undergraduate, postgraduate, and continuing professional development teaching. Supervise PhD students, contribute to curriculum development, pursue research grants, engage with industry and policy partners, and support university management, enterprise, knowledge transfer, and inclusion initiatives.

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.

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.

Lead EMEA communications strategy for a global B2B technology client. Develop integrated, social-first plans connecting paid, owned, earned, influencer, partnership, and offline activity. Translate complex product narratives into customer-focused messaging, creative briefs, presentations, and campaigns. Manage regional and global stakeholders, agencies, and production partners while supporting execution, localization, performance optimization, and brand consistency. Use GenAI and automation to accelerate creative development and improve marketing workflows.

Leads and develops a team of Data Scientists and other Data professionals, setting strategic direction and identifying high-impact opportunities. Partners with Product, Engineering, and senior stakeholders to shape product strategy and influence decisions through experimentation, causal inference, statistical modelling, machine learning, and analytics. Ensures analytical work drives measurable customer and commercial outcomes while collaborating with other data disciplines on tooling and infrastructure. Also contributes to hiring, coaching, technical standards, and the broader Data Science practice.

Lead a financial crime data science team focused on detecting, preventing, and mitigating financial crime. Partner with Product, Risk, Engineering, and control owners to shape data strategy, generate strategic insights, improve product decisions, and deliver rigorous analytics and machine learning solutions. Hire, develop, and retain data scientists and analysts while supporting innovation through business intelligence, experimentation, causal inference, and self-serve analytics.

Lead real-world evidence biostatistical analyses using large-scale healthcare data to support clinical development, regulatory strategy, HEOR, and payer decisions. Design observational studies and target trial emulations, apply causal inference, statistical learning, machine learning, and NLP, and build reproducible Python/R workflows. Collaborate with clinical, epidemiology, data engineering, and HEOR teams while translating findings for technical and non-technical stakeholders. Support regulatory submissions, governance, audits, and scientific dissemination.

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.

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.

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.

Manage machine learning infrastructure upgrades for a hyperscale Google data centre project in Finland and Norway. Responsibilities include contractor appointment, scope and change-order management, scheduling, materials logistics, risk mitigation, coordination with data centre construction and fibre teams, and mechanical and electrical commissioning through L3 and L4. The role requires strong data centre construction expertise, technical project management, supply chain coordination, forecasting, reporting, and significant international travel.

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.

Serve as the technical SME for compliance automation, overseeing GRC control mapping, evidence collection, integrations, and continuous monitoring. Partner with engineering teams to embed compliance into workflows, support audits and framework rollouts, assign control ownership, reduce audit burden, and maintain audit readiness. Lead cross-functional initiatives and communicate compliance risks, control status, and progress to technical and leadership audiences. The role requires cybersecurity framework expertise, program management, cloud and API fluency, GRC platform experience, and familiarity with AI-enabled compliance workflows.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.