826 to 850 of 2,614 Remote/Hybrid Machine Learning Jobs

within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities.Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation).Support Broader Audit DeliveryEmbed IT risk considerations within business and operational audits (e.g. underwriting, claims, finance), ensuring ...

worldwide.The OpportunityThe Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a AI Engineer to accelerate … rankers.Entity/relationship extraction/resolutionKnowledge Graphs; building and inference, graphRAGRecommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc.Tabular ML: feature engineering, structured data modelling (GBDTs, etc.)Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc.Deep understanding of the GenAI landscape and agentic frameworks.Experience ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers.We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges!It would be great if you also had experience in some of these, but if not we’ll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such as AWS, MS AzureContainerisation e.g. Docker ...

Outside IR35 depending on experience. Experience and skills required for the AI Platform Engineer (MLOps/GenAI) Experience building, deploying, and maintaining machine learning and generative AI solutions … e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‐tuning). Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models. Experience with AI infrastructure (orchestration pipelines, GPU compute, model hosting services) and scalable AI data structures (including vector databases/semantic search). Deep ...

Python (e.g., NumPy, Pandas, scikit-learn, TensorFlow/PyTorch). Demonstrable experience in creating and developing Python libraries. Demonstrable experience designing, implementing and training machine learning models from scratch. Strong foundations in applied mathematics and physics, particularly in statistical modelling, systems dynamics and differential equations. Familiarity with software …/CD pipelines. Experience writing clean, efficient, and modular code suitable for production environments. Desirable Skills or Knowledge Familiarity with AMO physics or quantum machine learning. Experience with MLOps best practices. Knowledge of systems like Apache Kafka, MQTT or real-time data pipelines. Experience with cloud platforms (AWS, Azure ...

Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a AI Engineer to accelerate … extraction/resolution Knowledge Graphs; building and inference, graphRAG Recommendation systems and ranking: personalisation, learning-to-rank, feed ranking, user modelling, etc. Tabular ML: feature engineering, structured data modelling (GBDTs, etc.) Statistical & Predictive Modelling: supervised ML, anomaly detection, temporal modelling, etc. Deep understanding of the GenAI landscape and agentic ...

Engineer to join a growing team to ingest, cleanse and model data into single source of truth, Kimball datasets, used for Business Intelligence reporting, ML, DS & AI and more. A Senior Data Engineer to manage, lead, guide, advice and develop technology and people. Responsible to lead the work, activities, oversight … technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner ...

Learning in Central London. The role is hybrid, with offices in London twice a week. You will lead the Data Science/ML team and drive the adoption of AI across the SaaS platform used by wealth management and FinTech clients globally. You will guide ML/… initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...

including transactional/EPOS, digital, retailer, social, loyalty etc Delivery Excellence - Experience developing and implementing insight solutions, MarTech/data driven CX solutions or ML/AL solutions. Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. … with the ability to communicate complex ideas clearly to stakeholders Innovative Mind - A strong interest and experience with the latest advancements in data, AI, machine learning, and data science space It Would Be a Bonus If You Have Experience in primary growth sectors; CPR (Consumer Products & Retail ...

distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines and commitments Openness to disagreement Onsite … technical guardian for the model's quality and Service Level Objectives (SLOs). Provide a hands-on solution architecture for the core ML infrastructure. Select, evaluate, and implement state-of-the-art technologies (e.g., distributed training, specialized hardware, efficient serving frameworks). Profile and optimize the end-to-end ML ...

First Central Services UK Ltd seeks a Lead Machine Learning & AI Engineer to drive production-ready ML/AI capabilities within the Data & Analytics function. You will coach a small team of ML Ops Engineers and AI engineers while collaborating with data science, pricing, and software teams. ...

operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

operations.> Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers.> Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems.> Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression.Desirable experience includes:> Cloud-based optimisation platforms and distributed computing.> Machine learning and hybrid optimisation approaches.> Simulation, reinforcement learning and advanced heuristic methods.> Commercial airline operations, crew planning systems or aircraft scheduling.> Aviation ...

London is seeking an experienced Machine Learning engineer to drive product-focused ML features. You will lead prototypes to production, collaborate with Product and Design, and mentor other engineers. The role emphasizes researching algorithms, evaluating models offline, and shipping ML products that impact customers. ...

operations. Designing and implementing high-performance optimisation algorithms and production-grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi-stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

infrastructure that underpins our products, while guiding a small team of engineers and defining platform standards, data architecture and engineering best practices supporting analytics, machine learning and AI across the business. Key responsibilities Lead the design, development and optimisation of a Databricks based data platform, ensuring reliability, performance … data science, analytics and product teams to ensure the platform supports their work Own data quality, governance and observability across pipelines Support AI and ML enablement including feature stores and model deployment patterns Translate business requirements into technical solutions Contribute to platform roadmap, tooling selection and continuous improvement Required experience ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data applications … with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment.* **Containerisation and Kubernetes** Confidence deploying applications in containerised environments, including defining services ...

ambiguous business requirements into clear, concise, and actionable technical specifications and user stories for AI and data solutionsKnowledge of how data and analytics, including machine learning and AI, can be strategically leveraged to achieve wider business goals within an industry (e.g. Financial Services, Healthcare, Government & public sector)Experience … with cloud data platforms providers (e.g., AWS, Azure, GCP, Snowflake, Databricks) and their data and AI services (e.g., S3, Azure Data Lake, BigQuery, Azure ML, Vertex AI)Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That’s what makes ...

technology, compute management, and embedded/inference optimisation.Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.Align cross-functionally: Work with ML/research, infrastructure, embedded/on-vehicle, and engineering teams (and cloud/vendor partners); manage dependencies, risk, and trade-offs.Connect to outcomes and represent … following skills and experience.Essential8+ years in platform/infrastructure: Deep, hands-on experience delivering platform or infrastructure programs as a technical program manager - compute, ML infra, developer tooling, training or inference systems - including people and process leadership. You've built or scaled a program function and you get things done ...

powered customer experiences across Lloyds Banking Group. Working as part of multidisciplinary teams, the role contributes to the development, deployment and operation of machine learning, generative AI and agentic AI solutions that power strategic capabilities such as Conversational AI, AI Search and personalised customer engagement. The successful candidate … love you to be part of the journey. What we're looking for? Proven experienceengineeringtechnologysolutions in complex environmentsandsupportingproductionoperations Applied AI/ML and GenAI experiencewith knowledge ofestablishedpatterns(RAG, tool use, guardrails, evaluation, agents)and anability to evaluate toolsandapproaches Experience working with conversational AI platforms and customer-facing AI applications. Experience ...

East for in‐person sessions. When applying please bear in mind the following: We work in an area flooded with tech buzzwords (e.g. AI, machine learning, blockchain) — in your application show us how you would explain a buzz‐wordy term to a room full of people that … specific clients and industry sectors Acting on feedback from peers, learners and the Decoded team SPECIFIC ROLES & RESPONSIBILITIES Workshop Preparation Reviewing exercises and other learning materials before a session Learning about your learners and the businesses they work for Familiarising yourself with the course structure and content, proactively ...