126 to 150 of 635 Remote Machine Learning Jobs

Flawless AI in Greater London is seeking experienced ML Systems Engineers to enhance the infrastructure for machine learning projects. Your role will involve designing systems for large-scale multimodal datasets and optimizing production workflows. The position allows for collaboration with data scientists and machine learning engineers ...

Amex GBT is looking for a Machine Learning Engineer II to join their Product AI Engineering team in London, UK. You will be responsible for designing and building intelligent systems that solve real-world problems using machine and deep learning techniques. The ideal candidate should have ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager – Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You’ll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

Crown Commercial Service is offering an exciting opportunity as a Machine Learning Engineer Apprentice. This role combines essential training with practical experience, where you will design and test machine learning models while learning in a supportive environment. Ideal candidates should possess A-levels or equivalent ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

drive efficiency across the business.Do you love shaping the technical landscape and driving innovation across the organisation Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs.What You'll DoOwn and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoptionLead and coordinate ML ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

Join jobr.pro as a Machine Learning Engineer to deliver impactful AI solutions for diverse clients. You will work on production-grade ML software and collaborate closely with cross-functional teams to ensure technical feasibility and the timely delivery of high-quality ML systems. The ideal candidate understands … full machine learning lifecycle, has strong Python skills, and experience with cloud platforms like AWS or GCP. Enjoy benefits including unlimited annual leave and private healthcare. #J-18808-Ljbffr ...

integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively … stability. Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt. What you ll get to learn ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment. Regulated AI: Navigating ...

/London (hybrid) or remote from EU/UK What will you do Accelerate researchers by taking on the heavy parts of large‐scale ML pipelines and building robust tools. Interface cutting‐edge research with production: integrate checkpoints, streamline evaluation, and expose APIs. Conduct experiments on the latest deep‐learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs). Design, implement and benchmark ML algorithms; write clear, efficient code in Python. Deliver prototypes that become production‐grade components for Le Chat and our enterprise API. About you Master’s or PhD in Computer Science ...

integrate software features that are vital to the lives of credit card consumers.* Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.* Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively … stability.* Collaborative Mindset: Ability to communicate effectively across engineering teams to maximize inner-sourcing and reduce technical debt.### **What you’ll get to learn*** ML Integration at Scale: How to take machine learning models out of the lab and into a high-concurrency production environment.* Regulated AI: Navigating ...

combine technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … science or analytics experience (typically around 5 years). Proven track record with Generative AI and LLM‐based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in‐house analytics, or agency environments. Excellent communication and problem‐solving ...

ML Researcher Location: London (Hybrid) The Company My client is a fast-growing technology business doing genuinely impactful work, building platforms that make physical environments safer and more intelligent. They operate at the cutting edge of computer vision and real-time AI, and they are scaling quickly. The team … where the work matters and the people are given the space to do it well. The Role They are looking to bring on an ML Researcher to join the machine learning team in London. You will own research directions end-to-end, from problem formulation through to production ...

implement enterprise-scale data platforms using Microsoft Azure Define data architecture, governance, security, and best practices Lead the architecture and delivery of AI, machine learning, and generative AI solutions Design modern data lake, lakehouse, and data warehouse architectures Develop scalable solutions using Azure Data Factory, Azure Synapse Analytics … Fabric Azure Databricks Azure Data Lake Storage Azure SQL Power BI Strong understanding of data governance, security, and compliance frameworks. Experience with AI and Machine Learning solutions on Azure, including Azure AI Services and Azure Machine Learning. Knowledge of Generative AI, Large Language Models (LLMs), Retrieval-Augmented ...

based on feedback and communicate results clearly. Qualifications Strong ability to translate ideas into working solutions quickly. Hands-on skills across: Python (data processing, ML, prototyping). Data engineering (APIs, data pipelines, SQL, cloud data). Lightweight app development (APIs, simple frontends, notebooks, dashboards). Solid (not necessarily extensive) knowledge … statistical/mathematical fundamentals that support and proposed ML methodologies. Experience building end-to-end prototypes, not just models. Comfortable working in ambiguous, fast-moving environments. Strong problem-solving and independent thinking. Nice to have Experience integrating LLMs or AI services into applications. Familiarity with modern data platforms (e.g. Snowflake ...

knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data … complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer ...

shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components … technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML/LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity ...

Collaborate with senior stakeholders to shape proposals, refine scopes, and identify new opportunities. Translate business challenges into scalable, data‐driven solutions using Python and machine‐learning methods (predictive, classification, forecasting, deep learning). What You’ll Bring 6+ years’ experience in data science, analytics, or consulting. Proven … operating at manager level, leading teams or workstreams. Strong track record with customer data/marketing analytics and AI‐powered solutions. Proficiency in Python, machine‐learning, and data storytelling. A collaborative mindset with the confidence to drive delivery and client relationships. Either consulting or agency background – leadership, commercial ...

/GitHub Actions) Familiarity with Java Familiarity with Google Cloud Platform or AWS Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications Familiarity with Neo4J or other graph databases is an added advantage Familiarity with data visualisation (Tableau, PowerBI) Knowledge of, or affinity ...

Applied AI & Machine Learning Engineer Wolverhampton — Hybrid (3 days in office, 2 days remote) Up to £40,000 depending on experience Full-Time | Permanent Build AI That Actually Ships At The Big Phone Store, we're applying modern AI to a fast‐moving, real‐world industry; refurbished technology. ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client‐facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...

Software Engineer LOCATION Reading (Hybrid) TERM Permanent SALARY £55,000 to £90,000 per annum BENEFITS Bonus, Pension, Private Healthcare, Hybrid Working, Flexi-time, Learning & Development Budget, AI Training & Certifications etc. We are a forward-thinking technology organisation driving innovation through artificial intelligence and modern software engineering. As part … hybrid basis. The Software Engineer will ideally have the following attributes: Strong experience in software development with a focus on AI/ML applications A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Software Engineering or similar Strong programming skills in Python and/or Java Experience ...

hiring for Machine Learning Engineer – LLM Applications/Banking Sector Location: Sheffield – Hybrid/3 days Per week in Office Required Skills & Qualifications Strong proficiency in Python and data engineering concepts. Hands‐on experience building ETL/data pipelines for both structured and unstructured datasets. Understanding ...

Tech environment Key technologies include: Python Azure Databricks Generative AI/LLM frameworks Agentic AI tooling and orchestration frameworks LangChain/LangGraph PyTorch and ML libraries REST APIs Docker and containerisation CI/CD pipelines Git-based development workflows What we're looking for 4-6 years' experience within Software … Engineering, AI Engineering, or Machine Learning Engineering roles Strong hands-on Python engineering capability Experience building AI or machine learning solutions within production environments Strong understanding of Generative AI and modern AI engineering practices Exposure to Agentic AI frameworks or autonomous AI workflows Experience working with ...

Manager Software & MLAbout this roleWe are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments. You ll lead and grow a team that builds the core software powering our data-driven financial products, ensuring our models … integrate software features that are vital to the lives of credit card consumers.Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals.Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively integrated into ...