301 to 325 of 404 Remote/Hybrid Machine Learning Jobs

Salary: .000 € per year Requirements: Expertise in modern cloud/cloud-native architectures and a proven track record delivering production-grade AI/ML solutions (deep learning, generative AI) that solve real business problems. Hands-on experience designing scalable, production-ready AI systems and leading greenfield builds, migrations … context protocol (MCP) for secure, standardised connections between AI agents and enterprise systems/tools. Additional nice-to-haves: Advanced techniques: model distillation, federated learning, autonomous agents or multi agent systems. Experience with AI ethics, governance, bias detection and responsible AI practices for high compliance environments. Hands on skills ...

aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped … build + deploy + collaborate + document + explain." That's especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include ...

Architecture. Experience in AI-enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare … life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide wellbeing days) Access to LinkedIn Learning and ongoing development programs If you’re ready to shape the future of AI-driven customer experience and thrive in a collaborative, fast-paced environment ...

Head of Data & Analytics, you will design, develop and maintain secure, high-quality data pipelines that enable trusted reporting, analytics, and future AI/ML development. This is a rare opportunity to influence architecture, engineering standards, automation and governance within a co-managed delivery model. You will work across structured … including: 34 days annual leave (including public holidays) Access to earned pay before payday Company pension scheme Generous occupational maternity/paternity pay Ongoing learning and development opportunities Health Cash Plan after probation (covering dental, optical, therapies, maternity/paternity, prescriptions and more) Opportunities for career progression ...

engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical … regulated financial services What we're looking for A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what ...

components that enable the safe and reliable operation of autonomous robotic systems within the wider robotics platform. Working closely with embedded systems, AI/ML, and systems architecture teams, you will help design, develop, and validate robotics software that meets high performance and safety standards. We are looking for someone … Responsibilities: Design, develop, and implement robotic software components and algorithms across perception, planning, control, and decision-making systems Collaborate with embedded engineers, AI/ML specialists, and system architects to integrate software into the wider robotics platform Conduct testing, optimisation, and validation to ensure software meets safety and performance requirements ...

reliable operation of autonomous robotic systems within the company's robotics platform. Working closely with cross-functional teams across embedded systems, AI/ML and systems architecture, you will help design, develop and validate robotics software that meets high performance and safety standards. We are looking for someone who enjoys … Responsibilities: * Design, develop and implement robotic software components and algorithms across perception, planning, control and decision-making systems * Collaborate with embedded engineers, AI/ML specialists and system architects to integrate software into the wider robotics platform * Conduct testing, optimisation and validation to ensure software meets safety and performance requirements ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies Knowledge of banking processes: retail banking, lending, payments, compliance Strong experience designing end to end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring Hands on expertise with cloud AI platforms (GCP) Strong knowledge of LLMOps practices, including ...

observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts. Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals Architect APIs, microservices, and integration patterns that embed … model risk management, and LBG internal policies. Knowledge of banking processes: retail banking, lending, payments, compliance. Strong experience designing end-to-end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring. Hands-on expertise with cloud AI platforms (GCP). Strong knowledge of LLMOps practices ...

Master's degree in one of these fields with 2+ years of hands-on professional and/or research experience in AI/ML or related technical fields applied to audio/music. Extensive hands-on experience in designing innovative AI/ML model architectures, training models from scratch, modify … trained model architectures, retrain, and incorporate methodologies, layers and structures from research papers. Up-to-date knowledge of the latest AI/ML advancements, including current scientific literature, tools, models, and best practices. Proficiency in Python, with a deep familiarity and fluency in coding, including expertise with ML frameworks (e.g. ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

Knowledge of IAM design, network security controls, encryption, secrets management, and cloud identity principles. Understanding of modern cloud architectures (serverless, microservices, managed AI/ML services) and their associated security risks. Ability to collaborate effectively with AI engineers, developers, and cloud teams to ensure secure implementation of AI workloads. Desirable … vector databases, model APIs, or data pipelines used by LLMs. Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection). Background working in regulated industries such as Financial Services or Insurance. Strong stakeholder communication skills, including the ability to influence ...

Server and other upstream sources. 🐟Develop and optimise Delta tables, workflows, and jobs within the Databricks lakehouse. 🪈Support the development and productionisation of ML feature pipelines in collaboration with the analytics team. 🚿Ensure pipelines are well-tested, monitored, and documented. 🧘🏻Mentor and support junior and mid-level engineers through code … with Azure cloud services. Demonstrable ability to mentor and upskill less experienced engineers. Desirable: Experience with SQL Server and hybrid architectures. Desirable: Exposure to ML feature engineering or feature store development. Desirable: Experience in financial services or a regulated environment. Desirable: Familiarity with data governance practices and tooling. The interview ...

with client business goals. Serve as technical design authority for AWS, guiding team architectural standards and decision making. Support the delivery of AI/ML and Gen AI proof of concepts, leveraging cloud-native services. Cloud Strategy, Automation & Governance Develop and refine cloud landing zones, infrastructure-as-code, and automation … frameworks such as 7Rs. Standardise tooling, and governance to improve technical efficiency and consistency across teams. Stay current with and integrate emerging technologies (AI, ML, serverless) to maintain technical edge. People Leadership & Team Development Provide technical mentoring for cloud excellence, focusing on best practices, CI/CD and operational excellence. ...

What We’re Looking For Strong experience as an AI/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup … scale-up environments — fast-moving, iterative, delivery-focused Strong Python engineering experience Experience with MLOps, CI/CD, IaC, and productionising ML models Ability to work collaboratively with product, data, and engineering teams Contract Details Location: Hybrid London (2–3 days onsite) Start Date: ASAP Length: 6 months rolling ...

schema validation, completeness, freshness, thresholds, and automated alerting. Enhance end-to-end pipeline resilience, monitoring, observability, failure handling, and recovery mechanisms. Integrate AI/ML features to boost reliability, anomaly detection, and operational efficiency. Collaborate closely with Data Product teams, Analytics Engineering, and Data Science to deliver production-grade data … expectations. Preferred Experience: Exposure to AI-enabled pipeline capabilities, such as anomaly detection or intelligent monitoring. Good understanding of MLOps or supporting deployment of ML models into production environments. Experience with CI/CD automation, testing frameworks, and observability tooling. Contracting Route: Timesheets via Umbrella Company This is an exceptional ...

Data Bricks Product Owner, Microsoft Fabric Product Owner, Data Engineering, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Bricks Product Owner, Microsoft Fabric Project Owner, Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...

Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions … system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based ...

Django) TR Ref: CLDB/TR13616 Location: Fully Remote but must be UK based . Our client has a powerful, data-driven, AI/ML platform that's transforming the way businesses connect with their customers and partners. Enjoying stellar growth, they’re now on track double revenue … entire industry. Rapid Growth . They are scaling rapidly, so this is an exciting time to join Cutting-edge challenges inc AI/ML, working with large datasets, third-party integrations and scalable, high-performance architecture Flexible remote working with only occasional meetups Continuous learning – encouraged to experiment with ...

using modern cloud platforms (AWS/Azure/GCP). Build scalable APIs, inference pipelines, and end‐to‐end MLOps workflows (MLflow, Kubeflow, Azure ML, Vertex AI, etc.). Shape the future of our AI platform Prototype bold new ideas fast. Iterate with a “learn quickly, ship often” mindset. Collaborate … experts to identify high impact use cases and refine strategy. 🛠️ What You Bring Must‐Haves Strong Python engineering skills and experience shipping AI/ML systems into production. Hands‐on experience with LLMs, RAG, Transformers, or NLP/IR architectures. Experience with prompt engineering, evaluation, and optimisation techniques. Comfortable working ...

scale high-performance data pipelines across Microsoft Fabric (OneLake) and Snowflake . This role is central to powering our BI, analytics, and AI/ML initiatives. The Role Build & Integrate: Develop complex ETL/ELT pipelines and implement OneLake interoperability between Fabric and Snowflake. Architect: Operate a Medallion architecture (Bronze … GDPR compliance, and client ring-fencing (Row-Level Security). Innovate: Create SQL and PySpark notebooks to prepare feature engineering datasets for AI/ML models. Collaborate: Work independently via Jira/GitHub, maintaining high CI/CD and documentation standards. What You Bring 5+ years of Data Engineering experience. ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

Technical Leadership Lead migration of legacy applications to cloud-native AWS architectures Build DevOps automation to support SRE practices Establish AI/ML development standards and frameworks Set observability, monitoring, and incident response standards Promote best practices in web, event-driven, and cloud-native technologies Provide technical expertise and oversee … code reviews People Leadership Manage and mentor a team of 4-8 developers, providing coaching, development plan Identifying training needs in AI/ML and SRE. Support recruitment and foster a culture of continual improvement and wellbeing. Delivery & Collaboration Deliver software in agile squads Collaborate with architects, SREs, product owners ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices. Technical Lead - AI Responsibilities: Lead AI-focused architecture, design, and engineering delivery across client engagements. Oversee … implementation of AI/ML solutions, from concept through to production. Act as the senior engineering authority, ensuring high-quality outputs across wider teams. Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies. Maintain expertise across modern tech stacks, cloud platforms and industry ...

/or React Design and develop RESTful APIs and backend services Work with SQL Server and/or NoSQL databases Integrate AI/ML services (e.g., APIs, automation, intelligent features) Collaborate with cross-functional teams to deliver end-to-end solutions Mentor junior developers and contribute to best practices Requirements … HTML, CSS, JavaScript/TypeScript Familiarity with REST APIs , Git , and modern development workflows Experience or strong interest in AI technologies (e.g., OpenAI APIs, ML integrations) Nice to Have Experience with Azure (App Services, Functions, DevOps) or AWS Knowledge of Docker/Kubernetes Experience with Microservices architecture Familiarity with ...