1 to 25 of 39 Machine Learning Jobs in York

deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team. Responsibilities: Lead the end-to-end … development of machine learning models, from prototyping to production deployment. Architect scalable ML pipelines and infrastructure. Work closely with data scientists to transition research models into robust production systems. Collaborate with engineering teams to integrate ML models into applications and services. Manage and mentor a team of machine learning and data engineers. Establish best practices for … Design experiments, analyze results, and iterate rapidly to improve model performance. Stay current with the latest research and developments in machine learning and AI. Define and enforce ML model governance, versioning, and documentation standards. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (PhD More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights … Leeds, England, United Kingdom 1 week ago Lead Software Engineer - 95% Remote - £85k - ID41216 Leeds, England, United Kingdom 3 days ago Leeds, England, United Kingdom 4 days ago Senior Machine Learning Scientist (UK Remote) Leeds, England, United Kingdom 6 days ago Software Developer (Python skills required) Leeds, England, United Kingdom 2 days ago Full Sutton, England, United Kingdom More ❯

architectures to building and maintaining robust data platforms across multiple cloud providers. Implementation of secure data processing environments for classified information, create automated deployment pipelines for data applications and ML models, and design comprehensive multi-cloud solutions with robust monitoring systems. Leading technical transformation initiatives, working closely with data engineering teams to support their infrastructure needs, implement DataOps practices, and More ❯

Social network you want to login/join with: AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote, york col-narrow-left Client: WMtech Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: AI Tech Lead – Agentic AI … LangGraph, ML, Python, CI/CD, LLM’s, Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help shape a cutting-edge AI platform designed to drive real-world behaviour change and improve human performance … build both product and team in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for core systems, focusing on scalability More ❯

C++, etc. Familiar with modern DevOps/CloudOps best practices - test driven development, CI/CD, etc. Desirable: prior experience with Azure and NoSQL Desirable: experience and interest in machine learning, data engineering, and data visualization Cultural Fit: Represent the firm in a professional manner and uphold its values and culture in all interactions Entrepreneurial spirit & strong work More ❯

Define and lead the data engineering strategy for IWR, aligning with business goals and future data needs. Transform legacy systems into scalable, cloud-native platforms with embedded AI and machine learning. Deliver data solutions focused on business fulfilment, operational efficiency, and measurable impact. Champion best practices in data quality, governance, metadata, and regulatory compliance. Partner across functions and lead More ❯

Machine Learning Engineer - Python - York (hybrid/remote) Overview: #TeamCandour are seeking a passionate and innovative Machine Learning Engineer/Data Scientist to join the team of our global financial services client out of their offices in York on a hybrid basis. If you have an entrepreneurial spirit and thrive in a dynamic environment, this could More ❯

goals. Develop analytics strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction, transformation, and loading. Apply statistical and machine learning techniques for predictive and segmentation analyses. Identify key metrics, develop KPIs, and create dashboards with Amazon QuickSight. Perform exploratory data analysis to find trends and insights for … AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Programming skills in Python, R, or Scala. Experience with SQL, NoSQL, data visualization, and … statistical packages. Strong analytical and problem-solving skills. Experience with social media analytics and user behavior analysis. Familiarity with big data technologies like Hadoop, Spark, Kafka. Knowledge of AWS ML services like SageMaker and Comprehend. Understanding of data governance and security in AWS. Excellent communication and teamwork skills. Attention to detail and ability to meet deadlines. Compensation: This is an More ❯

production-grade data science models, optimizing and upgrading them as needed. Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modelling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best … to conduct high-quality research independently or in small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (eg, predictive modelling, machine learning, or data mining) to deliver actionable business insights. Exceptional written More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights More ❯

Social network you want to login/join with: We are looking for an experienced machine learning engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor, and upgrade core data science … a skills crossover methodology, contributing to the data science workflow, discussions, and development, while maintaining a key role in transitioning models from research into production. The role of the Machine Learning Engineer This role is ideal for someone passionate about using data science to influence decisions and eager to learn more about delivering value through data. Key Responsibilities … required. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas. Our Technology We are developing a new data platform in Databricks that consolidates all UK business unit data. The ML Engineer will leverage and extend this platform to provide comprehensive end-to-end data science services. Rewards Competitive salary and benefits. 25 days annual leave plus two Hiscox days. Four More ❯

biggest names in the entertainment, media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast-paced, high-impact environment. The … ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI-based … neural network architectures and generative adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team driving innovation in AI-driven More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

to applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

join with: Are you passionate about solving complex problems and using data to make a real-world impact? Do you thrive in a collaborative environment where innovation and continuous learning are part of everyday life? If so, we’d love to hear from you! We’re looking for a Data Scientist to join our high-profile Counter-Fraud Data … richest insurance datasets in the world and help shape the future of fraud detection through cutting-edge analytics and AI. A bit about the job: Apply advanced analytics and machine learning techniques to tackle fraud-related challenges. Work across the full data science lifecycle – from problem definition and data wrangling to modelling and deployment. Collaborate with stakeholders to … deliver actionable insights and productionised AI solutions. Be part of Quantum, Aviva’s dedicated Data Science community, and grow your skills through continuous learning and knowledge sharing. Skills and experience we’re looking for: Degree or MSc in a numerate field such as Mathematics, Statistics, Computer Science, or a modelling-based science. Experience in data science techniques including statistics More ❯

you want to login/join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You will be working alongside them … consultancy partners who have recently won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and … different market conditions and generate optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks More ❯

strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools … AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to … such as DP-100 and AI-102 - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. More ❯

Forward Deployed Product Engineer (Python) Fully Remote within the UK Up to £160k + Stock + Benefits Series C, Developer Tooling/ML Deployments Join a US scale-up on a mission to empower Engineering teams to deliver their best work, through simplifying the deployment of Machine Learning models As they expand their global footprint, raised Series C … seeking a talented Forward Deployed Engineer to join the UK team! About the Role As a Forward Deployed Engineer you'll collaborate directly with customers to understand challenges, engineering ML-based deployment solutions. You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & efficiency You’ll work alongside teams that have … joined from world-class tech businesses like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub and Uber Key Responsibilities Partner with customers to identify and address their ML deployment needs Implement and optimise ML solutions using Python, open-source tools & infrastructure Collaborate with cross-functional teams to enhance product features, based on client feedback Work with Python, PyTorch, Tensorflow, Kubernetes, Docker & cloud More ❯

someone who has been working within banking or financial sector for some time, but really looking for a more meaningful & purpose-driven business to join. They are investing within Machine Learning & AI to improve digital experiences for their customers, and plan to keep growing the team whilst they move towards their next funding round. The role is remote More ❯

e.g., Git) and CI/CD pipelines. Familiarity with big data or NoSQL technologies (e.g., MongoDB, Cosmos DB, Hadoop). Exposure to data analytics tools (Power BI, Tableau) or machine learning workflows. Knowledge of data governance, GDPR, and data compliance practices. Why Join Be part of a growing tech team at the forefront of data innovation. Work on More ❯

in the SDLC, support CI/CD pipelines, and ensure testability is part of the design. AI Tools & Automation: Explore, evaluate, and drive the adoption of modern AI/ML tools for test generation, test maintenance, and defect prediction. People & Process Leadership: Mentor junior QA members, enforce best practices, and continuously improve testing strategies and coverage. Metrics & Reporting: Define and … like driving clarity and structure where there is ambiguity. Nice-to-haves Prior experience as a QA manager or team lead. Background in software development. Exposure to AI/ML concepts in a practical or project setting. Why Join Fanvue? Competitive salary and benefits package Work with a talented, mission-driven team dedicated to empowering creators worldwide A culture that More ❯

AWS/GCP), CI/CD, and agile product development Track record of scaling teams, improving delivery processes, and aligning engineering with company goals Bonus: Experience with AI/ML products or embedded intelligence in enterprise software Excellent communication, people management, and stakeholder engagement skills What’s On Offer ? Equity options for long-term growth ? Remote-friendly, with relocation or More ❯

working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is … end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the … art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot More ❯