1 to 25 of 115 Machine Learning Jobs in Yorkshire

with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions … criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of the Bank's approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this This is a people management role. You will be responsible for day to day management of the team and for More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make … with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description Netcompany is seeking a Senior Azure … Security Clearance Benefits include Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

5G, LTE, Fiber Optics) Network function virtualization (NFV) or software-defined networking (SDN) Real-time embedded systems experience in telecom Cybersecurity best practices knowledge in telecommunications networks AI/ML applications experience in network automation Microservices architecture and development experience Scrum master experience facilitating skilled development teams SDN/SD-WAN certifications (VCP preferred) or cloud/virtualization platform knowledge … on the role's requirements Generous company matched pension and share purchase programs Opportunity to give back to communities in which we work, live and serve Career growth and learning & development opportunitiestodevelop your skills And much more A bit about us We're a people-focused, customer-first, purpose-driven team who works together every day to innovate and More ❯

learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement … GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience deploying workloads with Kubernetes, including cluster and node management. Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar tools. Skilled in Python and comfortable working with SQL and data processing tools. Understanding of the machine learning lifecycle from … optimizing data pipelines. Strong communication skills and the ability to clearly document complex systems. A self-driven mindset and interest in staying current with trends in cloud, data, and ML tools. Experience leading infrastructure efforts in greenfield or early-stage environments. Nice to Have Experience working on SaaS platforms in biotech, healthcare, or life sciences. Experience with real-time ML More ❯

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 … platform's first focus is on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to … 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 ❯

LangChain | UK, Remote About the Role As a Backend Engineer, you’ll play a central role in shaping a new product with a strong focus on AI Agents and machine learning systems. This position offers a unique opportunity to help design, build, and scale a product from the ground up, influencing architectural decisions, AI integrations, and overall user … Experience: 7+ years of experience in backend development. Backend Expertise: Strong skills in backend technologies, including API design, database systems, and server-side frameworks (e.g., Python). AI/ML Knowledge: Understanding of machine learning principles and experience integrating AI models (especially LLMs) into production systems. Familiarity with tools like LangChain or LlamaIndex is a plus. Cloud & DevOps More ❯

roadmap for the Data Science Operations team, agreeing priorities with stakeholders and the Head of Data Science, enabling the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering … teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. … Simulation, etc). Excellent team management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward the delivery of new products and product features. Strong ability to More ❯

EDA, building, evaluation, deployment, monitoring) to deliver scalable MVPs. Develop and optimize production-grade data science models using Python. Design solutions for business challenges using diverse datasets and advanced ML/statistical techniques. Collaborate with cross-functional teams to enhance analytics practices. Write high-quality, maintainable Python code adhering to best practices. Stay updated on new techniques and share insights … data science or advanced analytics. Strong Python programming skills and experience with Test-Driven Development (e.g., pytest). Familiarity with version control and IT delivery tools. Ability to apply machine learning to solve business problems. Experience building predictive/prescriptive models for actionable insights. Excellent communication skills to present findings to diverse audiences. Nice-to-Haves Graduate/ More ❯

and over 600,000 vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role 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 modeling 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 (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written More ❯

has limitless opportunities for our ambitious and innovative employees to contribute to our growth story. We are embracing the most cutting-edge innovations in areas like Blockchain, Artificial intelligence, Machine Learning, and Cloud Computing as well as delivering end-to-end Consulting, Technology, and front-to-back application design capability that allows us to see a project through … all. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We offer flexible workplace arrangements, mentoring, internal mobility, learning and development programmes to support our global workforce. Empowerment and collaboration are at the core of how we operate. More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have : Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯

creativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker More ❯

management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make … of Business Analysts and demonstrating an excellent understanding of business requirements. Skills we’d love to see/Amazing Extras: Demonstrable experience using Quantexa or Palantir Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge of test automation frameworks and ability to automate testing within the pipeline To More ❯

management. You can stay technically focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously and will make … and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. This could have been obtained at university or within a role. · Familiarity with AI/ML algorithms and model deployment in cloud environments. A passion for all things AI, whether that’s attending events, hackathons, reading or in practical ap[plications. Skills we’d love to … see/Amazing Extras: Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud environments. Experience with version control tools (e.g., Git), and knowledge of Docker and containerization. Strong communication and collaboration skills, with the ability to work effectively in cross-functional More ❯

skills. Desirable: Experience with asynchronous programming (asyncio, Celery). Knowledge of message brokers (RabbitMQ, Kafka). Familiarity with GraphQL, gRPC, or WebSockets. Exposure to data-intensive or AI/ML-based systems architecture. Relevant certifications in cloud technologies or enterprise architecture (AWS/Azure Architect, TOGAF, etc.) Location & Working Pattern: Hybrid role based in Bradford , requiring 3 days per week More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work. If you are looking More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our More ❯

Remote Employment Type : Full-time and Permanent Remuneration (UK – Remote) : £59.5–76.5k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have : Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more 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 ❯