651 to 675 of 2,593 Remote/Hybrid Machine Learning Jobs

company is developing high-performance compiler backends that allow Triton kernels to run efficiently across proprietary AI accelerators, helping hardware companies support modern machine-learning workloads without requiring engineers to rewrite kernels for every device. They’re now looking for a Senior Compiler Engineer to help build this … inference workloads Working on IR transformations, lowering and scheduling strategies Analysing performance bottlenecks and pushing kernels towards peak efficiency Collaborating with hardware architects and machine-learning engineers Helping shape the architectural direction of the compiler stack What they’re looking for: Strong compiler development experience with LLVM, MLIR ...

Services - the forecasting, optimisation and recommendation capabilities that power our retail media networks. This is a platform role. You will design and own the ML platform, tooling and operational standards that the wider Data function builds on, define how deployment, monitoring and retraining are done, and set the engineering … Design, build and own the platform that takes models from development to production: packaging, versioning, model registry, CI/CD for ML, and the shared tooling that data scientists and engineers rely on to ship reliably. Own how models are deployed and how predictions reach their consumers - batch and online ...

this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud‐native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure‐as‐code for repeatable, auditable deployments Secure‐by‐design engineering appropriate to sensitive public‐sector data AWS/Azure/ ...

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data - AWS/Azure/ ...

impact your area of workDemonstrable experience of building data pipelines using Spark, Python or SQLExperience working with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses … , including learning new programming languagesApproach solving problems pragmatically, creating clarity and structure in ambiguous situationsExperience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applicationsExperience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team ...

impact your area of workDemonstrable experience of building data pipelines using Spark, Python or SQLExperience working with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses … , including learning new programming languagesApproach solving problems pragmatically, creating clarity and structure in ambiguous situationsExperience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applicationsExperience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team ...

years of industry experience across the globe. Sprytech has started an India office based in Mumbai and is working to establish an AI/ML driven cybersecurity and digital threat analytics centre to enhance the security of industry and government organisations. We are looking for an AI Application Developer … Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with end-to-end AI project deployment is highly desirable. Technical Skills Proficiency in programming languages such as Python ...

Staff ML Engineer | Agentic AI & Applied ML | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling advanced AI capability across its UK engineering function. The organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. … next challenge is moving beyond individual use cases: driving adoption across engineering teams, establishing common engineering patterns and enabling increasingly complex AI and ML solutions to operate safely and reliably in production. This is a senior hands-on Staff Engineer position with significant influence over the technical direction ...

Staff ML Engineer | Agentic AI & Applied ML | London (3 days per week on-site) | Contract | Inside IR35 We're supporting a global technology-driven organisation that's scaling advanced AI capability across its UK engineering function. The organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. … next challenge is moving beyond individual use cases: driving adoption across engineering teams, establishing common engineering patterns and enabling increasingly complex AI and ML solutions to operate safely and reliably in production. This is a senior hands-on Staff Engineer position with significant influence over the technical direction ...

Data Science Lead/Data Science Leader/Data Science Manager/Project Lead/Technical Lead/Data Science/ML/Machine Learning/AI/Artificial Intelligence/Hybrid – Remote/Warwick/Home/6-month contract/£600 – 900 per day Inside IR35. … technical stakeholder groups Ensure data science outputs deliver genuine, actionable insight Get hands-on with Python when required Apply modern AI/ML, GenAI and Agentic AI approaches Work with cloud technologies – Azure highly desirable We’re looking for: Strong Data Science experience – background as a Data Scientist ...

advertising systems connect advertisers to that audience at scale.What is the role You’ll join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning … from idea through to serving at scale, working in Spark, Python, and Java. You’ll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored).How will I use AI at Roku At Roku, we don’t just use AI, we work with ...

build, and operate scalable data pipelines and lakehouse architectures on Azure Databricks (Delta Lake, Unity Catalog) for structured and unstructured data. AI-Ready Data & ML Enablement: Develop data models and pipelines for Machine Learning and Generative AI and collaborate with data scientists to operationalize ML workflows. Generative … automating business processes with orchestration/integration platforms (like n8n, Power Automate, Camunda, RPA or similar BPA platforms), including connecting APIs and enterprise systems. ML & Generative AI: Experience building ML pipelines plus practical exposure to embeddings, vector databases, and RAG; agentic frameworks (like LangChain/LangGraph) a plus. Technical Skills ...

ability to pick up new tools and languages quickly - is an advantage. This Role In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You’ll contribute to delivering high‐fidelity simulations … team members, while building toward doing this independently. Working at the intersection of CAE and Data Science to help generate simulation datasets for training Machine/Deep Learning models, and developing your understanding of how data sampling choices affect model accuracy and cost. Using Flux (our cloud platform ...

required to provide hands-on technical leadership to an agile development team within client’s Land Registration domain seeking to leverage document processing and ML to realise new automation opportunities for the organisation. SKILLS/EXPERIENCE OF THE PYTHON ENGINEER Commercial experience with AI/ML technology: OCR, Object Detection … endpoints Requests library for HTTP client operations and external API integration Authentication/authorization implementation (JWT, OAuth) Software Development: Making excellent quality AI/ML software collaboratively with other engineers Working effectively under technical leadership while contributing specialized AI/ML expertise Design and implementation of AI/ML solutions ...

bids, and mentor a high-innovation team of junior engineers. The Toolkit The Sweet Spot: Proven experience implementing hybrid algorithms (classical math + ML) for state estimation, anomaly detection, or information fusion. The Core Math: Deep familiarity with time/frequency domains, Fourier transforms, digital sampling, and filter design. … Frameworks: Practical knowledge of EKF, UKF, Lie Group UKF, or Physics-Informed ML is highly advantageous. The Stack: Fluency across C++, MATLAB/Mathematica, and Python. The Background: Typically a Bachelors, Masters, or PhD in a relevant STEM discipline, paired with few years of recent experience ...

production support. Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities. Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams … testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery. Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation,evaluation, and technical decision-making. Excellent collaboration, communication, and stakeholder management skills, with ...

# ML Model Governance LeadFinancial Services — Model Risk ManagementHybrid · London £95,000–£130,000 42 days ago 13 interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair … model risk management for decades. In 2026, that framework is being extended — sometimes under regulatory pressure, sometimes proactively — to cover the new generation of ML and LLM models that are increasingly making or influencing decisions that affect customers and markets.Role & Responsibilities:• Design and operate the model governance framework: model inventory ...

opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Fin's AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader … product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable ...

About Atom Learning We're Atom Learning and our mission is to help every child reach their potential. We combine exceptional teacher-made content with technology, data science and machine learning to make high-quality, personalised education more accessible. Our aim is to give every child … access to the kind of insight, support and individualised learning that was once largely limited to expensive private education and tutoring. We're one of Europe's fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to over 100 people, with specialists across ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

considered 10+ years in software engineering, data engineering, or solution architecture, including at least 3–5 years focused specifically on applied AI/ML or generative AI, with proven hands‐on architecture experience with frontier large language models and multi‐modal models — including prompt engineering, fine‐tuning, RAG, and agentic … other regulated‐industry delivery experience (financial services, healthcare, government) Relevant certifications (e.g. Azure AI Engineer Associate, AWS Certified Machine Learning, Google Professional ML Engineer) Experience building or scaling an AI Centre of Excellence or comparable practice capability within a consulting organisation Published thought leadership, patents, or conference speaking ...