126 to 150 of 451 Remote/Hybrid Machine Learning Jobs

Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams.* **Productization & Delivery** - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows … Collaborate with risk, legal, and compliance teams on AI model governance.* **Team Building & Leadership -** Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment.**Qualifications Must-Have Skills & Experience*** Significant proven data science/ ...

Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery – Convert proofs‐of‐concept into scalable, enterprise‐grade tools. Embed AI solutions into banker workflows … Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership – Build and lead a high‐performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications – Must‐Have Skills & Experience Significant proven data science/ ...

front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. • Optimise system performance and reliability for high-volume data operations across distributed environments. • Implement secure, compliant … DevOps practices including TDD, CI/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift ...

delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice Key requirements Strong background in AI, machine learning or data science Deep experience with LLMs and modern GenAI frameworks Experience designing AI architectures such as RAG and agent-based systems Strong ...

business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery ...

/JS Backend: R6, golem, plumber APIs Data: MariaDB (AWS RDS), S3, SQL optimization DevOps: GitHub Actions, Heroku, Digital Ocean, Docker, Git AI/ML: LLM APIs (OpenAI, Claude, etc.), ellmer package, Python LLM tooling, AI Agents Why SUSNEO? Innovation at Scale: Work on production applications that combine robust data ...

security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance ...

building real-world applications that incorporate large language models, agent based systems, and cloud based AI services. The role requires someone who enjoys experimenting, learning quickly, and applying new technologies in practical ways. Responsibilities: Design, develop, and deploy AI-enabled solutions using modern full stack technologies Integrate cloud-based … services (e.g. language models, machine learning, search, and cognitive APIs) into production systems Build and enhance features powered by large language models, including agent-style workflows and contextual integrations Work closely with clients to gather requirements and translate them into functional software solutions Contribute to technical discovery, prototyping ...

Close collaboration from cloud strategy through to delivery Access to leading experts across cloud, AI, data, and engineering A culture built on innovation, continuous learning, and shared success The opportunity to work with some of the biggest and most complex organisations in the UK This is an environment … secure, scalable cloud architectures Skilled in cost optimisation and cloud best practices Data & AI Strong understanding of data platforms, analytics solutions, and AI/ML-driven architectures Application Architecture Experience with serverless, microservices, and containerised workloads Familiarity with CI/CD pipelines and DevOps practices Security Architecture Deep knowledge ...

enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept to implementation. Evangelism & Thought Leadership Act as an internal and external advocate for practical AI adoption … roles Strong understanding of generative AI ecosystems and large language models Exposure to modern AI architectures and system design Experience shaping or delivering AI, machine learning, or advanced analytics initiatives Ability to move from strategic conversation to practical implementation Strong communication and stakeholder engagement skills Technical Awareness Candidates ...

solve business problems. Candidates who display exceptional competencies in collaborative, multi-disciplinary working and strong leadership characteristics will be considered alongside technical competencies in machine learning, artificial intelligence and natural language processing. Main duties of the job The Senior Data Scientist role will support the Data Science Manager … understands related legislation Experience of direct line management of staff Knowledge Essential Broad understanding of data engineering and processing environments including Azure Datalake, ML Ops, Data Factory and Databricks Broad understanding of current NHS, national, regional, and local context Knowledge of statistical techniques (regression, classification, decision trees,supervised/unsupervised ...

Software Engineer (Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly ...

record of working cross-functionally and influencing stakeholders Nice to Have Combination of vendor + banking/financial services experience Experience applying AI/machine learning within fraud or risk environments Exposure to fast-paced, high-growth or product-focused businesses What's on Offer Salary from ...

opportunity to work at the heart of a highly data-driven trading environment, building the platforms and pipelines that power advanced analytics, machine learning and systematic trading strategies. The firm operates across global energy and commodities markets and is known for combining quantitative research, advanced analytics and modern ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

Knowledge of APIs, system integration, and microservices Client-facing experience or delivery-focused roles Strong problem-solving and communication skills Desirable: Exposure to AI, ML, or data platforms DevOps, CI/CD, or infrastructure as code experience Consulting or technical delivery background Location: UK Hybrid, with occasional client visits ...

using Large Language Models (LLMs) Perform prompt engineering and optimisation for enterprise-scale applications Build AI-driven applications using Python and modern AI/ML frameworks Integrate AI capabilities into enterprise systems, APIs and data platforms Collaborate with stakeholders to translate business requirements into AI solutions Support model evaluation, tuning ...

build effective solutions You're comfortable with using AI tools (e.g. Claude, Codex) and integrating them in user workflows You're familiar with ML workflows, Snowflake and PaaS You have achieved a 2.1 or above from a top tier university in a STEM discipline What ...

Learning, or Generative AI products Strong understanding of user-centric product development Experience with tools and platforms such as: AWS (AI/ML services) Hugging Face LLMs and Generative AI workflows Ability to work in fast-paced, ambiguous environments Strong stakeholder management and communication skills Commercial awareness ...

opportunity to work on innovative large language model (LLM) applications in a collaborative, fast-paced environment. Key Responsibilities Design, develop, and deploy AI/ML solutions with a focus on LLM-based applications Build and maintain scalable data pipelines and AI services using Python and AWS Fine-tune, evaluate … governance standards required for government projects Contribute to best practices, code quality, and documentation Required Skills & Experience Minimum 3 years’ experience in AI/ML engineering, with hands-on experience in LLMs Strong programming skills in Python Proven experience working with AWS (e.g. S3, Lambda, SageMaker, ECS) Experience delivering solutions ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

tooling. · Become a subject matter expert for the data platform and supporting processes, actively sharing knowledge and contributing to our culture of continuous learning and development. · Regularly reviewing colleagues’ work and providing helpful feedback. · Contribute to technical discovery by working with stakeholders to clarify problems, challenge assumptions and shape … managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning and managing Apache Airflow. · Exposure to using AI tools to enhance ...

optimisation , often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies. What You'll Be Doing Building optimisation models and ML solutions to support decision-making Applying techniques such as mixed integer programming, simulation and advanced analytics Developing production-ready pipelines and models Working directly with … deliver value Delivering projects in an Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering ...

simulation environments to accelerate development and reduce deployment risk. Work with scientists to translate lab methods into automation-friendly procedures; work with Data/ML to stream rich telemetry and results downstream. Requirements Advanced degree (PhD) or MSc with equivalent industry experience. Proven experience automating laboratory workflows with liquid handlers … afterthought. Desirable Experience with fabrication and prototyping, including 3D printing custom parts to adapt or extend lab equipment. Familiarity with data engineering or ML pipelines, particularly for streaming structured experimental telemetry. Experience in pharmaceutical, biotech, or regulated lab environments. Benefits Competitive base salary alongside a meaningful equity package, giving ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...