1 to 25 of 28 Machine Learning Jobs in Chester

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

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 ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

both prototypes and production applications. Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Bachelor's degree in Computer Science, Computer Engineering, Data Science, and/or comparable ...

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 ...

London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India ...

with a solid grounding in mathematics Experience of programming, with C or C++ of particular interest Skills in algorithmic understanding Experience in AI and machine learning will prove useful Experience of Agile development would also be an advantage One Last Thing OpenText is more than just a corporation ...

hours/week Role Responsibilities Develop scalable APIs and service layers interfacing with advanced AI models. Configure environments and design databases to support machine learning applications. Lead the creation and testing of complex database schemas. Collaborate asynchronously and work independently with flexible hours. Enhance system performance to meet ...

Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation £140,000 - £160,000 Central London Highly successful, award winning, high growth scale-up looking for an experienced and driven Engineering Manager to join their team. As Engineering Manager, you'll play a pivotal role in shaping … Python, AWS, GCP is a must. Previous experience across IOS/Android is highly desirable. Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation ...

technical specifications. Collaborate with engineering on architectural decisions in a microservices-based environment. Ensure products are designed for interoperability, scalability, and AI/ML readiness. Standards & Compliance Champion industry standards (e.g., Allotrope Simple Model) and FAIR data principles. Align product design with GxP, ALCOA+, 21 CFR Part 11, and enterprise ...

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 ...

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 ...

common requests in 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. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

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 while contributing to cutting-edge AI research. Collaborate with AI labs to enhance research ...

requests in your professional domain. Review peer-developed deliverables to enhance AI research quality. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet project goals. Contribute expertise to cutting-edge AI research while maintaining flexible hours. Qualifications Must ...

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 ...

field. * Proven product management experience with several years focused on MES/MOM, manufacturing software, or related industrial technology. * Proven experience managing AI/ML-enabled products or software solutions in manufacturing or supply chain domains. * Strong understanding of manufacturing execution systems, industrial processes, and integrations with ERP systems. * Excellent … degree in Business, Engineering, or Computer Science. * Hands-on experience working with Infor MES, M3, LN, or Syteline products. * Knowledge of AI/ML technologies, including practical applications in predictive maintenance, quality control, or production optimization. * Experience working on SaaS/cloud product transformations and multi-tenant architectures. * Experience working ...

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. ...

significant proportion of our sales. Our engineering practice includes 80+ teams, working on everything from Cloud platforms to mobile apps, from ecommerce functionality to machine learning. Have a quick glance of our Engineering best practices, see our engineers talk about their experience and opportunities to learn and grow; Check … less experienced software engineers. You will work with a diverse range of technical and non-technical stakeholders which will require excellent communication skills. Learning new skills is extremely important to us. You would be expected to constantly improve your engineering skills and keep up to date with the latest ...

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 ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...