101 to 125 of 456 Remote/Hybrid Machine Learning Jobs

Senior Recruitment Consultant – Data, AI & Machine Learning 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to take your recruitment career to the next level in one of the most exciting tech verticals on the market? At Arrows Group, we’re experts … performing environment with the support, flexibility and earning potential to thrive. What you'll be doing: Own and grow a Data/AI/ML desk (contract or perm), with access to warm clients and high-value roles Build and manage relationships with top tech talent and hiring teams Drive ...

Person Specification Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Strong understanding of data privacy, security, and ethical considerations ...

Person Specification Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Strong understanding of data privacy, security, and ethical considerations ...

Essential Job Duties: Under direct supervision, design, develop, and implement technology-based solutions that bridge pedagogical best practices with data science methodologies in remote learning environments Translate complex data science and geophysical concepts into accessible educational materials for diverse audiences in virtual settings Maintain e-learning tools, with … ensure all tools meet organizational policies and legal requirements Collaborate with geoscience educators, data scientists, researchers, and instructional designers to create engaging virtual learning environments. Stay informed of updates in both educational methodologies and data science techniques, with special attention to remote and asynchronous learning approaches Other duties ...

Staff Software Engineer – AI/ML (MLOps) Engineering | UK Remote/London (hybrid working) Overview My client is a fast-growing, product-led technology company investing heavily in AI and machine learning. They are building advanced AI-driven products and are looking for a Staff Engineer to help scale … their AI/ML and MLOps capability. The Role My client is seeking a Staff Software Engineer with strong experience in MLOps/DevOps and AI infrastructure. This is a hands-on technical leadership role focused on designing, building, and scaling production-grade machine learning systems. You will ...

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles ...

quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents notes: This role requires in-depth knowledge and experience. I will reply to every applicant. ...

working in consulting, private equity, financial services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration ...

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 ...

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 ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering … stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency ...

Management (EDM) frameworks Experience with data governance, lineage and metadata management tools Exposure to multi-cloud environments (Azure or GCP) Experience supporting advanced analytics, machine learning or AI data platforms As part of a leading global analytics and digital solutions company, you can look forward to: A competitive … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

supported automation and optimisation . Preparing and maintaining high-quality datasets and AI-ready data models (DWH/Lakehouse) to support analytics, reporting, and machine-learning use cases. Monitoring and troubleshooting daily data operations, resolving issues following ITIL best practices, and implementing proactive improvements, alerting, and self-healing … data warehousing, and relational database environments (e.g., MS SQL Server). Experience designing cloud-native and on-prem data solutions. Exposure to AI/ML initiatives , AI-enabled automation, and an understanding of LLM concepts and their data workflow applications. Experience working in Agile environments (Scrum, Kanban, DevOps). Strong ...

researchers, and data scientists. The work focuses on building scalable pipelines, enabling real-time analytics, and delivering high-quality datasets used for predictive modelling, machine learning, and systematic trading strategies. This role requires someone who combines strong technical data engineering capability with commercial awareness, capable of working directly ...

science and analysis in counter fraud areas. Demonstrate practical expertise of data science including tools, detection techniques and standards used in counter fraud (e.g. ML/DL/GenAI/Analytics and statistics. Including the application of data science with unstructured data (LLMs) Engage with stakeholder to ensure appropriate context … applied to data and insights from detection approaches. Develop and implement AI/ML algorithms to detect emerging fraud patterns while ensuring compliance with all laws, professional practice, government and internal frameworks. Collaborate with counter-fraud experts and domain experts in the NHS Communicate progress and outcomes to senior managers ...

open‐source AI projects or published research in AI/ML. Extensive experience in software or systems architecture, with strong focus in AI/ML domains. Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol. Deep understanding of LLMs … prompt engineering, model evaluation, and fine‐tuning strategies. Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership ...

team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

environment. Experience working in a global team Experience working 100% remote Experience of the ResTech industry Experience with Salesforce Knowledge of statistical analysis and machine learning concepts. Experience with Tableau, Looker, or Sigma Additional Information Our Values Collaboration is our superpower We uncover rich perspectives across the world ...

Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models. Advanced ML: Experience with boosting models is essential for our higher-complexity tasks. Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends ...

discoverability and governance, and supporting the maturity of operating models across platform and product teams. Defining and governing architectural standards across data, AI/ML and identity ecosystems. This includes ensuring coherence across real‐time and batch processing, machine learning enablement platforms, and customer identity services, while maintaining … regulatory compliance, managing risk, and ensuring long‐term technical sustainability. Establishing architectural approaches that enable responsible AI and ML at scale, balancing innovation and experimentation with appropriate governance and safety. Providing architectural leadership for major technology decisions, including platform strategy, vendor selection and investment prioritisation, with clear accountability for enterprise ...

secure development ensuring security is embedded in the SDLC through practices. Foster a collaborative, inclusive, and high-trust engineering culture where innovation and continuous learning are valued. Engineering Innovation Own and drive the AI strategy across the engineering organization through product-facing AL capabilities and internal engineering productivity tooling. … coding tools (e.g., code generation, automated testing, AI-powered code review) across the team. Collaborate with product leadership to identify opportunities where AI and machine learning can enhance Beazley Security’s cybersecurity service offerings and client value. Stay current with advancements in AI and assess its applicability ...

including version control, testing, and CI/CD. Nice to Have Familiarity with Google Cloud Platform (GCP). Bonus points for experience with AI, Machine Learning (PyTorch/TensorFlow), LLM frameworks (MCP/Langchain), or scientific Python (NumPy/Pandas)—though this is absolutely not necessary to apply. ...