1 to 25 of 29 Machine Learning Jobs in East Yorkshire

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

Build the ML systems that power market leaders Boam AI builds managed data solutions that transform messy, unstructured signals from public, private, and proprietary sources into structured, reliable, and always up-to-date intelligence on millions of SMBs and enterprises worldwide. These agentic systems power CRMs, data warehouses, AI products … mission-critical decisions across the enterprise. As a Senior Machine Learning Engineer, you will own end-to-end ML systems that power our core product. You'll design and operate scalable ML data pipelines and agentic workflows, ship production-ready LLM and model-driven features, and help guide ...

predictions, abstracting away the complex engineering to speed up innovation. Tecton's founders developed the first Feature Store when they created Uber's Michelangelo ML platform, and we're now bringing those same capabilities to every organization in the world. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner … successfully implement Tecton deployments and build features, in both an advisory and/or hands-on fashion, to enable their high-impact AI/ML use-cases. Responsibilities Collaborate with the Delivery/Engagement Managers, pre-sales, and Account team to understand customer needs and business requirements/objectives Design ...

research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‐generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: Architect agentic systems: multi‐step reasoning, autonomous decision‐making, and safe … action flows. Operationalise LLM solutions: evaluation, fine‐tuning, and prompt strategies with measurable outcomes. Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. Experiment using human‐feedback loops and A/ ...

Experts) Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $105/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities: Critically evaluate machine learning and artificial intelligence research papers for methodological rigor, novelty, and clarity. Inspect Python source code, experimental pipelines, and experiment logs to validate … research studies. Requirements: Strong experience in artificial intelligence, machine learning, or closely related research domains. Demonstrated ability to read, interpret, and evaluate ML research papers and technical methodologies. Comfort reviewing Python code, experimental workflows, and quantitative logs. Experience conducting academic literature reviews and assessing research originality. High attention ...

level executives, translating complex product capabilities into clear business outcomes. Strong foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) principles, with the confidence to discuss strategic AI roadmaps and Generative AI applications with executive stakeholders. Experience in managing and expanding customer relationships at various levels. Exceptional ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

model serving, observability, cost and latency optimisation, and the connection between unstructured signals and automated recommendations. You will also help shape the long-term ML strategy, including platform design, experimentation frameworks and the future of the discovery engine. This role suits someone who has experience in search, ranking, retrieval ...

Role Overview Mercor is partnering with a top AI research lab on an exciting project pushing the limits of multimodal machine learning — technology that helps AI understand both visuals and sound. We're looking for detail-oriented freelance contributors to review and compare short video and audio clips. ...

transparency, and entirely new ways of interacting with financial information. The role We are looking for an exceptional Senior Software Engineer with a strong ML and LLM focus, and the ability to build production-grade AI systems end-to-end. This is a pivotal role in which you will shape … adapting or pivoting when necessary Collaborate closely with product and data teams to transform intricate financial and AI requirements into robust, production-ready features ML, AI & LLM Systems Design and implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines ...

Responsibilities Create deliverables addressing common requests within the medical domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research. Qualifications Must-Have 4+ years professional experience ...

Responsibilities Create deliverables addressing common requests in the nursing domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in machine learning systems. Contribute expertise to cutting-edge AI research. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 4+ years professional experience ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate with AI labs to support research ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...

common requests within your professional domain. Review peer-developed deliverables to improve AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines and improve AI model performance. Contribute expertise to cutting-edge AI research while working ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth ...