701 to 725 of 2,607 Remote/Hybrid Machine Learning Jobs

Strong programming skills (Python preferred; Java or similar acceptable) Solid experience with cloud platforms (AWS, Azure or GCP) and modern DevOps practices Experience integrating machine learning/GenAI models into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

impacted transactions, establishing supporting evidence, and routing unresolved cases for further investigation. Qualifications 5–8 years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles. Demonstrated experience building LLM/GenAI applications beyond proof-of-concept chatbots. Practical experience implementing agentic workflows, tools ...

reliability, latency, and business outcomes. Qualifications and experience we consider to be essential for the role: 10–15 years across software engineering, AI/ML, data science, or enterprise architecture, with a clear trajectory into senior technical leadership. Proven track record architecting and deploying production-scale AI, from strategy through ...

managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data … architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill ...

ability to make sensible engineering decisions in ambiguous environments. It would be advantageous if you also have experience with: Agentic AI systems Go Deep learning/traditional machine learning AI coding and agentic development tools such as Claude Code, Codex or similar What This Role ...

YOUR ROLE Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI … requirements and build out solutions. Experience of designing and implementing MLOps strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing ...

data products, ensuring high quality outputs for clients and internal stakeholders. The Role: You will sit within the Machine Learning team, helping ML engineers to deliver high-quality production models and data products through testing, analysis, validation and operational support. You’ll work across analysis, testing, validation … Perform testing and validation of new fields, logic changes and product releases. Investigate data quality issues and support root cause analysis with Engineering and ML teams. Write SQL and Python queries/scripts to interrogate data and automate checks. Support internal stakeholders and clients with product queries, incidents and data ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

balancing multiple priorities Professional-level English proficiency Nice to have Expertise in specialized analytics domains such as econometrics or marketing mix modeling Cloud or machine learning certifications Familiarity with containerization platforms like Docker or Kubernetes We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance … pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program ...

Take a Seat Tech in London is seeking a contract machine learning specialist to build and productionise models against healthcare data and strengthen data pipelines. You will collaborate with product and clinical safety … teams to ensure guardrails and responsible deployment, and you will document and hand over monitoring tools for ongoing operation. The role demands proven production ML delivery, strong Python and MLOps discipline, and availability at short notice, with a hybrid London setup #J-18808-Ljbffr ...

GDPR, data privacy, and information securityDesirable:Financial services experienceAwareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning modelsAny experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications:Industry focused degree or equivalent working experienceAzure ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

checks and technical documentation; exposure to version control and CI/CD is useful. Data Science, AI and Advanced Analytics Applying statistical, predictive or machine learning techniques to business problems using Python or R. Experience across forecasting, classification, optimisation, NLP or GenAI‐enabled analysis. Translating model outputs into ...

proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating ...

CloudFormation, Azure Resource Manager (ARM), and CI/CD pipelines to support automated deployment and management of network infrastructure.Experience with AIOps platforms, network analytics, machine learning for anomaly detection, or advanced security analytics in a networking context.Experience integrating network solutions with IT Service Management (ITSM) platforms, Security Information ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team workloads Experience supporting ML model deployment and DevOps collaboration Desirable: Degree in STEM, Data, AI, or Programming-related field Awareness of data security best practices Experience with designing data … architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill ...

environment backed by the Alphabet ecosystem, you will pioneer a robust, AI-first security architecture while remaining a velocity enabler for world-class ML researchers and drug discovery teams.What you will doTeam Leadership: Mentor and scale a world-class team of security engineers, fostering a culture of technical excellence, continuous … Cloud and Network Security, Secure SDLC, Security Monitoring, etc.Lead Key Transformation Projects: Lead unique, industry-pioneering technical projects that support the development of frontier ML models and new therapeutics.Cloud & Platform Security through AI: Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven ...

ensuring business value creation and impact. In this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI … requirements and build out solutions.* Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing ...

Trainline is hiring a Senior Machine Learning Engineer in the UK to design and deploy scalable ML models that power search, recommendations, and pricing across our rail platform. You will work with data scientists, software engineers and product managers to deliver high-impact ML solutions. The role requires … strong background in Python, ML libraries, statistics, and experience in productionising models. A hybrid working model with competitive benefits is offered. #J-18808-Ljbffr ...

environment backed by the Alphabet ecosystem, you will pioneer a robust, AI-first security architecture while remaining a velocity enabler for world-class ML researchers and drug discovery teams. What you will doTeam Leadership: Mentor and scale a world-class team of security engineers, fostering a culture of technical excellence … Network Security, Secure SDLC, Security Monitoring, etc. Lead Key Transformation Projects: Lead unique, industry-pioneering technical projects that support the development of frontier ML models and new therapeutics. Cloud & Platform Security through AI: Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven ...