1,601 to 1,625 of 2,666 Remote/Hybrid Machine Learning Jobs

methodologies, focusing on interpretability, steering, and behavioral studies of transformer-based LLMs. Developing high-quality, modular, and reproducible research code in Python using deep learning frameworks like PyTorch. Building and maintaining research infrastructure and technical tooling to accelerate scientific discovery. Documenting and communicating experimental findings through high-quality academic … Translating complex technical insights for diverse audiences, including external frontier labs, government bodies, and safety institutes. Who we're looking for: Solid background in machine learning fundamentals and transformer architectures (specifically LLMs). A practical understanding of white-box and black-box interpretability techniques, such as steering vectors ...

data engineering environments Implement observability and monitoring using tools like Databricks Workflows and related frameworks Contribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutions Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field Extensive … technical audiences Nice to have Experience operationalizing LLM or Generative AI workflows in Databricks pipelines Familiarity with frameworks like LangChain, LlamaIndex or Databricks ML/MosaicML Knowledge of AI governance, security practices and enterprise integration controls Background in financial trading data or related domains Official Databricks certifications such as Certified ...

technology functions and business-facing technology teams, you will help shape and deliver transformation initiatives involving software engineering, microservices, cloud platforms, data, AI and machine learning. Key Responsibilities Partner with executive and senior business stakeholders to understand strategic priorities and technology requirements. Shape technology strategies, roadmaps and transformation programmes. … Provide technical leadership across software engineering, architecture, cloud, data, AI and machine learning. Advise on microservices architecture, modern engineering practices, integration and scalable enterprise platforms. Work across centralised technology stacks and business-specific technology environments. Lead and influence engineering, architecture, product, platform and delivery teams. Support AI-enabled modernisation ...

managing complex dependencies, scheduling and error‐recovery behaviour within secure, assured environments. Operationalising Data flows for AI in secure environments Packaging, deploying and monitoring ML and, increasingly, GenAI and agentic data workloads inside assured environments. This can include self‐hosted or open‐weight models, retrieval (RAG) and vector search over … lineage. Tools and techniques for data testing, documentation and lineage (for example Great Expectations or dbt). AI, MLOps and emerging LLMOps. Operationalising ML in production (model packaging, monitoring, controlled deployment), and an understanding of how serving GenAI and agentic systems differs, including evaluation, guardrails and observability for non‐deterministic ...

Chattermill Analytics Limited in the United Kingdom seeks a Senior Machine Learning Engineer to advance our CX intelligence platform. You will design, train, and deploy transformer-based models and agentic systems on customer feedback data, balancing bespoke fine-tuning with off-the-shelf LLMs. You’ll own pipelines ...

RedTech Recruitment is seeking a Machine Learning Research Engineer to explore cutting-edge …/LLM approaches in a Cambridge-based role. You will prototype and evaluate novel concepts, bridging academia and industry with a focus on classic ML methods and NLP applications. The position requires a PhD and strong publication record, with experience in PyTorch/TensorFlow/Scikit-Learn, and a track ...

Hewlett Packard Enterprise in Cambridge is looking for a C++ AI/ML Software Engineer. You will design and develop AI-driven features within HP Wolf Security products, leveraging modern C++ and machine learning techniques. This is a full-time role with a hybrid working model, requiring onsite ...

seeking a Staff Machine Learning - Ops to own and enforce release gates across the model training lifecycle. You will lead the ML delivery pipeline improvements, review release content for quality and safety, and partner with platform, CI/CD and evaluation teams to optimize end-to-end model ...

established, dynamic team of ~25 Medicinal Chemists in London, who are fundamentally redefining how drugs are designed. By partnering deeply with our AI/ML colleagues, we are doing more than just leveraging the Isomorphic Labs Drug Design Engine - we are actively shaping it. We use our domain expertise … will oversee and mentor a team of talented Medicinal Chemists, fostering their scientific growth and career development. Working alongside world-leading AI/ML Scientists, you will play a critical role in driving project success, enhancing our AI platform through expert feedback, and developing a high-performing Chemistry team. Critical ...

Hewlett Packard Enterprise is seeking an experienced C++ AI/ML Software Engineer to join the HP Wolf Security team in Cambridge, UK. You will be instrumental in designing and developing intelligent security solutions that leverage machine learning and AI capabilities. The ideal candidate will have a solid ...

embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive … fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible ...

Limited seeks a skilled C++ software engineer to advance machine learning inference engines and backend integrations within a large modular codebase. You will analyse performance issues, optimise runtimes, and collaborate with runtime, compiler, driver, and hardware teams to bring AI acceleration to life. Join Arm in a hybrid … working environment that fosters learning, growth, and contribution to industry-leading AI technologies across the organization. #J-18808-Ljbffr ...

Treefera is hiring a Machine Learning Scientist to develop models from research to production, turning satellite, radar … LiDAR observations into actionable intelligence for commodity supply chains. You’ll work across the full lifecycle with a cross‐functional team, focusing on geospatial ML, model validation and scalable inference workflows. The role involves collaboration with science, AI and engineering to ship robust solutions. #J-18808-Ljbffr ...

working and the collaboration that comes from spending time together in the office. What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring … models into clear, actionable business insights Work closely with Data and Risk teams to influence lending strategy and decision-making Requirements Strong experience in machine learning within lending ( SME lending essential ) Strong consumer lending experience Proficiency in Python and SQL Proven end-to-end model development experience Background ...

AgentOps, and AI lifecycle management. It translates proven architectures, components, engineering practices, and design decisions into reusable AI capabilities that reduce duplication and ensure learning from one system strengthens the next. This role owns reusable AI system foundations and technical AI capability assets, not product roadmaps, business adoption, portfolio … engineers and data scientists in designing systems that can be reused and extended across domains. Promote technical consistency while preserving flexibility for innovation. Capability Learning & Evolution Capture architectural, engineering, and implementation learnings from AI initiatives and transform them into reusable assets. Build mechanisms for sharing AI patterns, reference designs ...

Checkout.com is seeking an experienced Payments Data Analyst to join our growing analytics team in London. You will translate merchant data into actionable insights, drive experiments, and build automation to monitor merchant performance. You’ll ...

VanRath is seeking an AI Engineer to design and deliver production-ready AI capabilities in a financial services setting. You will work across AWS and Azure, building AI agents, knowledge-based apps and scalable APIs ...

Datatech Analytics in London is seeking an AI Engineer to design, build, and deploy innovative AI solutions at scale within a newly established AI function. The role focuses on Generative AI, LLMs, and data capabilities ...

Deliveroo is seeking a Machine Learning Engineer to join the London office as part of a Global DoorDash Engineering team, working hybrid with 3 days in the office. You will design and productionize models powering ETA predictions and dispatcher decisions, collaborating with software engineers, data scientists, and product ...

seeking a Machine Learning Engineer at all levels to join its expanding team in Bristol. You will contribute to end-to-end ML development, from R&D to production, collaborating with software, hardware and systems teams to deploy AI on edge and embedded environments. The role supports ...

quality and efficiency of future work Collaborate with your peers in similar roles across the team/UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering Identify trends, recurring challenges, and systemic inefficiencies across the area of focus, turning them … experience any of the following specialisms: RF, Electronic Warfare, Electro-Optics, Air/Land/Sea sub-system Platform Integration, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) Security Clearance This role is subject ...

cost optimisation. Provide technical leadership, architecture governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into actionable insights. Prototype … data vault approaches. Experience with Power BI, Tableau or Looker . Strong understanding of data governance and data quality . Experience integrating AI/ML into data solutions and understanding of AI governance. Ability to design scalable, secure and cost-effective data architectures. Relevant cloud data engineering certifications would ...

mentorship. This nurturing environment empowers our employees to thrive, continuously learn, and contribute meaningfully to advancing system design and calibration with our data-efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind … within the team. Embracing ownership, you will be involved from conceptual design through deployment and beyond. This requires both a strong commitment to continuous learning and a pragmatic mindset to know when to apply simple, robust solutions. As a proactive voice on the team, you will contribute to raising ...

machine‐learning systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward‐deployed engineering, software engineering, customer engineering, solutions architecture, or technical consulting. Can point to substantial personal contributions in code, architecture, evaluation, debugging, or production engineering ...

llsupport you if youdon’t Experience with Data-as-a-Service, data feeds, datalicensingor other data-product business models. Hands-on experience applying LLMs, machine learning or intelligent automation to regulatory filings and other unstructured documents. Familiarity with data provenance, researchmethodology, qualityframeworksand governance of externally sourced data. Experience … questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At the company, you’re not just building the future - you’re an agent of positive change, joining ...