2,126 to 2,150 of 2,673 Remote Machine Learning Jobs

compiler systems that directly impact next-generation compute products. Development and evolution of LLVM-based and custom compiler toolchains Performance optimisation for AI/ML and accelerator-driven workloads Low-level code generation, backend, and systems-level compiler work Close collaboration with architecture, silicon, and hardware teams to influence real ...

Collaborating closely with leadership, sales, delivery, and academy teams to shape innovative solutions Skills and Experience Experience working in the industry delivering AI or ML solutions A strong technical foundation with the ability to design and deploy AI systems end‐to‐end Confidence in client‐facing roles, with the ability ...

Experience selling cloud transformation, infrastructure, managed services, database, or application modernisation solutions. Strong understanding of OCI, Oracle Database@Hyperscaler, Exadata, Cloud@Customer, AI/ML, and multicloud architectures. Executive presence with excellent consultative selling, stakeholder management, and negotiation skills. Consistent track record of achieving revenue, bookings, and growth targets. Ability ...

person Scope and design solutions (including pricing) to meet client needs – from straightforward translation work to complex solutions involving SaaS platforms, AI/ML workflows and audiovisual production Confidently challenge client assumptions and requests where required to protect quality, risk and outcomes Collaborate closely with Customer Success, Sales and Product ...

person Scope and design solutions (including pricing) to meet client needs – from straightforward translation work to complex solutions involving SaaS platforms, AI/ML workflows and audiovisual production Confidently challenge client assumptions and requests where required to protect quality, risk and outcomes Collaborate closely with Customer Success, Sales and Product ...

work with multiple teams internal and external and effectively balance/prioritise work around programme milestones. Experience working with or familiarity with AI/ML models is preferred. Additional Information Salary for this position is 60,000 to 80,000, depending on experience plus our excellent flexible benefits package. ...

bids and business development activities ensuring that proposed solutions are feasible, innovative, compliant, and mission‐aligned Working closely with engineering, data, cyber, AI/ML, and systems integration teams to shape end‐to‐end solutions Translating complex missions’ needs into robust technical architecture, capability concepts, and delivery approaches Technically lead ...

either side of the table. Strongly preferred: executive-level experience at an enterprise software vendor selling into the Fortune 500 (iPaaS, AI/ML, cloud platforms, data, ERP, or adjacent infrastructure). Also compelling: a customer-facing operator role in which you regularly represented your company's products, platform ...

quality systems outside clinical trials - for consultants who want to flex across service lines Familiarity with eQMS implementation, data migration validation, or AI/ML in a GCP context RQA, ISPE, or DIA involvement ISO 27001 awareness or Lead Auditor certification What’s Actually In It For You The practical ...

discovery and expansion, not just top-of-funnel acquisition. Experience with open-source community strategy has shipped or grown an OSS project, ideally in ML/AI. Comfortable working in a hybrid PLG + SLG model and operating cross-functionally with teams whose roadmaps this role doesn't own. What ...

team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing.Why Join Us Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials … automated data security.Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners.Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets.What will ...

team builds the foundational infrastructure. This infrastructure includes high-throughput streaming and cloud warehousing to automated data governance. It fuels clinical analytics, AI/ML innovations, and global data sharing. Why Join Us? Direct Impact at Scale: Promote the central data engine behind every Medidata application, directly accelerating clinical trials … data security. Product-Minded Engineering: Treat data as a first-class product, transforming static databases into high-value, reusable assets for internal AI/ML teams and external partners. Fuel Advanced AI/ML: Promote next-generation predictive modelling and clinical analytics by standardising and safeguarding complex healthcare datasets. What ...

technical peers alike. Enabling Innovation: Designing usable data models and building reliable foundations that empower others to launch advanced analytics, LLMs, and AI/ML applications. Modernising Infrastructure: Overseeing the evolution of cloud data platforms to maximise performance, reduce latency, and optimise cloud costs across AWS, Azure, or Google Cloud. … mind. Flexible Working: We champion hybrid working, providing a home office setup budget to ensure you're comfortable and productive wherever you are. Learning & Development: Invest in yourself with access to Udemy Business and a dedicated learning and development budget for continuous growth. Lifestyle Perks: Make the most ...

opportunity to work alongside and collaborate with industry experts as well as having access to a range of both internal and industry certified learning courses and qualifications.If you're looking for a role in a fast paced, exciting environment where you can make a big impact in the General … such as scalability, performance, security, and cost-effectiveness.Stay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagements.Contribute to the growth ...

opportunity to work alongside and collaborate with industry experts as well as having access to a range of both internal and industry certified learning courses and qualifications.If you're looking for a role in a fast paced, exciting environment where you can make a big impact in the General … such as scalability, performance, security, and cost-effectivenessStay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagementsContribute to the growth ...

structure we service.Next-Generation Platform Intelligence Building the AI foundations that make every future capability more powerful — predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI-native Fund Services platform that compounds in value over time.What we’ll need from youBachelor … degree in Computer Science, Engineering, Data Science, or a related technical fieldRelevant experience across product development and engineering, with significant focus on AI/ML-driven products and heavy recent exposure to Generative AIDemonstrated ability to design, build, and scale complex software systems — including cloud architectures, distributed systems, and modern ...

structure we service. Next-Generation Platform Intelligence Building the AI foundations that make every future capability more powerful - predictive analytics, enterprise knowledge management, continuous learning models, and the intelligent infrastructure that underpins a truly AI-native Fund Services platform that compounds in value over time. What we'll need … Computer Science, Engineering, Data Science, or a related technical field Relevant experience across product development and engineering, with significant focus on AI/ML-driven products and heavy recent exposure to Generative AI Demonstrated ability to design, build, and scale complex software systems - including cloud architectures, distributed systems, and modern ...

catalyst for accountable growth, not a brake.What We Are Looking ForEngineering & Technical Leadership• Substantial experience leading software engineering, data, or AI/ML teams, typically 12+ years of relevant experience with several in a leadership capacity, delivering production-grade solutions at enterprise scale.• Strong hands-on foundations in modern data … example Python, SQL, cloud-native platforms, data pipelines), enough to set technical direction credibly and make sound architecture decisions.• Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. ...

software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI … monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human‐in‐the‐loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain ...

work relates to that. Take ownership of the system produced. Contribute to a strong team sense of identity and spirit. Foster a learning culture within the team. Work within best practices for secure, compliant, and reliable systems. Essential 5+ years experience in software engineering Professional understanding of agile concepts … Familiarity with messaging systems such as Kafka, RabbitMQ or similar Proficiency with monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Why Join Us At Lockwood, you’ll be part of an inclusive, creative, and highly motivated team. You’ll work ...

company, and how work relates to that. Take ownership of the system produced. Contribute toa strong teamsense of identity and spirit. Foster a learning culture within the team. Work withinbest practices for secure, compliant, and reliable systems. Essential: 5+years experiencein software engineering Professional understanding of agile concepts and processes … interactive systems. Familiarity with messaging systems such as Kafka,RabbitMQor similar Proficiencywith monitoring tools like Prometheus, Grafana, or ELK Stack Experience with AI/ML integration in backend systems. Why Join Us At Lockwood,you’llbe part of an inclusive, creative, and highly motivated team.You’llwork on systems used ...

teams and documenting technical solutions. A proactive, self‐motivated approach to addressing issues and driving improvements in backend systems. A strong commitment to continuous learning and staying up‐to‐date with emerging technologies and industry best practices. Nice-to-Have Qualifications: Familiarity with message brokers such as Kafka … tools like Jira for managing tasks and sprint planning. Certifications in cloud technologies, such as AWS Certified Developer. Manage, host, and serve AI/ML models (MLOps), by ensuring their scalability, reliability, and performance in production environments. Location: Candidates based in Spain: flexible remote work, with availability to travel ...

protocols (OAuth2, OpenID Connect, TLS, etc.). Experience integrating legacy banking systems with modern digital platforms. Experience integrating data platforms used for analytics or machine learning. Familiarity with real-time vs batch data patterns and their impact on analytical and AI use cases. Awareness of AI model lifecycle considerations … insurance Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services Access a wide range of learning and development opportunities and career progression opportunities Ambitious remuneration package We recognise our role as a bank to support social change and welcome ...

lifecycle.Drive architectural governance, ensuring traceability, documentation accuracy, and compliance.Ensure solutions meet compliance standards (e.g. ISO 27001).AI & Data AwarenessEnsure solution designs support AI/ML-enabled capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns).Collaborate with wider technical teams to define integration approaches for predictive … frameworks (e.g. TOGAF, Zachman).Background in software engineering, data architecture, or infrastructure engineering.Exposure to designing internal accelerators, frameworks, or reusable components.Awareness of AI/ML architecture patterns, generative AI integration considerations, or data lineage and monitoring concepts.CompanyRapidly growing financial services organisation with offices in LondonHybrid working Salary & BenefitsThe salary range ...

operations (predictive monitoring, anomaly detection, auto-remediation).Implement automation for repetitive BASIS operations (system health checks, patching, job management).Leverage AI/ML tools for incident prediction, root cause analysis (RCA), and performance optimization.Introduce intelligent monitoring dashboards and self-healing mechanisms across SAP landscape.Enable integration of SAP operations with enterprise … transfer, and training to internal teams and stakeholders.Good to have:Strong understanding of ITIL-based Service Delivery and Service Management practices.Knowledge of AI/ML-based monitoring or AIOps tools for enterprise platforms.Experience with SAP ALM tools (Solution Manager, Focused Run, Cloud ALM).Exposure to SAP Rise, GTS, Ariba ...