401 to 425 of 2,600 Remote/Hybrid Machine Learning Jobs

person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … latest blogs or our case studies with Women in Tech. About the Role The ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. As a software engineer on the ML Projects team you will work ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth click apply ...

Machine Learning Engineer to support delivery and operationalisation of advanced AI solutions for our Kingfisher brands. You will help build scalable ML systems, ensuring models run in live environments. Join a high-performing engineering team collaborating with product and architecture to accelerate AI adoption across B&Q, Screwfix ...

often side‐by‐side with them on‐site) to embed cutting‐edge AI models into tools that are useful and used. You’ve shipped ML systems end‐to‐end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate … will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You’ll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization & control) to customer production environments. ...

collaborate in person.Our Data EnvironmentOur Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.About the RoleThe ML Projects team is at the forefront of bringing cutting edge machine learning to the core of what we do at Starling. ...

event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation … skills; you’re comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health ...

Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model … technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, model monitoring and Responsible AI frameworks. Excellent analytical, problem-solving and stakeholder management skills. Strong written ...

Looking For Proven experience leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles … Points For Experience in Banking or Financial Services. Exposure to GenAI, LLMs, and intelligent agent workflows. Experience with DevOps, CI/CD, and productionising ML systems. A passion for mentoring and developing early‐career data talent. Why Join Capco Deliver innovative, high‐impact data solutions for Tier 1 financial institutions. ...

investment management workflows.Experience with advanced retrieval-augmented generation and multi-agent systems.Certifications such as:Databricks Certified Generative AI Engineer AssociateSnowPro Specialty: Gen AIAWS Certified Machine Learning Engineer – AssociateAWS Certified Machine Learning – SpecialtyCFA charterholder or active candidate.FINRA RequirementsFINRA licenses are not required and will not be supported ...

world and synthetic training data. Bridge research and application engineering so model improvements actually reach users. The bar Read this before you DM. Production ML systems you've built and shipped — not prototypes, not research demos, real products with real users Deep understanding of large-model training, fine-tuning, evaluation … inference Experience running GPU-based ML workloads at meaningful scale Strong software engineering fundamentals — you write production-grade code and you care about correctness Comfortable reasoning about failure modes, model degradation, and what happens when things go wrong in the wild Independent judgment — you can navigate ambiguity and make pragmatic ...

678Skills: AI Engineering, AI/ML Solution Design, AWS, Agentic AI, Azure, CI/CD Tooling, Cloud Architecture Design, Cloud-native AI Platforms, Docker, GCP, Generative AI, Innovation Leadership, Kubernetes, LangChain, LlamaIndex, MLOps, MLflow, Orchestration Frameworks, RAG Pipelines, Stakeholder ManagementSenior AI Engineer - Consulting Office location to choose from: Glasgow, London … 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 ...

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 ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident … client-facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems Designing and building production-grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with ...

delivery — this is your chance to shape the intelligence behind the future of work. Join RoleMapper and lead the evolution of our AI and ML capabilities that make workforce decisions fairer, smarter, and more transparent. About RoleMapper In a world where organisations are facing significant skills challenges, increasing compliance requirements … phase of growth and position RoleMapper at the forefront of AI in work design. Responsibilities Translating product vision into a feasible, scalable AI and ML roadmap that delivers measurable business value and aligns with commercial goals. Designing and scaling RoleMapper’s AI and Machine Learning models, combining leadership ...

side proves works and turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead … ML engineering and MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt ...

Machine Learning Engineer Location: London Working pattern: Hybrid/client-site as required Employment type: Permanent The Opportunity: Were working with a fast-growing technology consultancy operating at the forefront of AI, machine learning and advanced technology click apply for full job details ...

opportunities to thrive. Win as a Team: We're looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You'll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable … solutions, and driving innovation while growing your career. You'll make an impact by: Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production-ready code. Deploy models into batch ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … route is unknown Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … this opportunity. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … route is unknown Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years ...

forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities … route is unknown Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years ...

technical direction for the team's deliverables.Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow.Lead the extraction, transformation and loading (ETL) of large and complex datasets, including time series … solutions within a trading or financial services environment.In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch).Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations.Mastery ...

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...