What Jobs are available for Digital Technologies in Huddersfield?
Showing 452 Digital Technologies jobs in Huddersfield
Placement Student - Service Engineering - Digital and Data Analytics
Huddersfield, Yorkshire and the Humber
Cummins Inc.
Posted 11 days ago
Job Viewed
Job Description
**DESCRIPTION**
Our culture believes in **_POWERING YOUR POTENTIAL_** . We provide global opportunities to develop your career, make your community a better place and work with today's most innovative thinkers to solve the world's toughest problems.
We believe in flexibility for you to explore your passions while making an impact through meaningful work within our inclusive workforce. That's what **_#LifeAtCummins_** is all about.
We are looking for an enthusiastic (Service Engineer) to join our team specializing in Systems and Data Execution for our (CBU - Components Business Unit) in Huddersfield, United Kingdom. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential
This role is available to candidates who qualify for a placement year and will commence Summer 2026. The requirements are for the successful candidate to be on-site 3 days per week, so it is important that you can relocate, or be within a commutable distance to site.
**RESPONSIBILITIES**
In this role, you will make an impact in the following ways:
+ Supporting/using the CCIMS (Customer Care Information Management System) application
+ Compiling SQL queries using databricks
+ Helping develop CCIMS next generation application and Process improvement projects
+ Gaining an appreciation of service function/spend time in the CBU Service Lab in Huddersfield
+ Supporting project in the Data Analytics & Data Science functions
**QUALIFICATIONS**
To be successful in this role you will need the following:
+ We are looking applicants studying towards a degree in the following areas or similar: Data Science, Technology, Maths, Business or Project Management
+ An interest in Data Science and Data Analytics.
+ Good understanding of databases and their structures
+ Ability to work successfully as part of a team with experience contributing to or leading projects
CLOSING DATE: Thursday 13 th November
**Job** Service
**Organization** Cummins Inc.
**Role Category** Hybrid
**Job Type** Student - Cooperative/12 Month Placement
**ReqID**
**Relocation Package** No
Our culture believes in **_POWERING YOUR POTENTIAL_** . We provide global opportunities to develop your career, make your community a better place and work with today's most innovative thinkers to solve the world's toughest problems.
We believe in flexibility for you to explore your passions while making an impact through meaningful work within our inclusive workforce. That's what **_#LifeAtCummins_** is all about.
We are looking for an enthusiastic (Service Engineer) to join our team specializing in Systems and Data Execution for our (CBU - Components Business Unit) in Huddersfield, United Kingdom. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential
This role is available to candidates who qualify for a placement year and will commence Summer 2026. The requirements are for the successful candidate to be on-site 3 days per week, so it is important that you can relocate, or be within a commutable distance to site.
**RESPONSIBILITIES**
In this role, you will make an impact in the following ways:
+ Supporting/using the CCIMS (Customer Care Information Management System) application
+ Compiling SQL queries using databricks
+ Helping develop CCIMS next generation application and Process improvement projects
+ Gaining an appreciation of service function/spend time in the CBU Service Lab in Huddersfield
+ Supporting project in the Data Analytics & Data Science functions
**QUALIFICATIONS**
To be successful in this role you will need the following:
+ We are looking applicants studying towards a degree in the following areas or similar: Data Science, Technology, Maths, Business or Project Management
+ An interest in Data Science and Data Analytics.
+ Good understanding of databases and their structures
+ Ability to work successfully as part of a team with experience contributing to or leading projects
CLOSING DATE: Thursday 13 th November
**Job** Service
**Organization** Cummins Inc.
**Role Category** Hybrid
**Job Type** Student - Cooperative/12 Month Placement
**ReqID**
**Relocation Package** No
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0
Senior Lecturer - Digital Learning Technologies
S1 4DT Sheffield, Yorkshire and the Humber
£45000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a respected educational institution, is seeking an experienced Senior Lecturer specializing in Digital Learning Technologies. This is a fully remote position focused on advancing the pedagogical use of technology in education. You will be responsible for developing innovative curriculum, delivering engaging online courses, conducting research in educational technology, and mentoring students and junior faculty. The ideal candidate possesses a deep understanding of learning theories, digital pedagogy, and a proven ability to leverage technology to enhance learning outcomes. This role offers the flexibility to work remotely, contributing expertise to enhance the institution's digital learning offerings.
Responsibilities:
Responsibilities:
- Develop and deliver high-quality online courses and learning materials in the field of digital learning technologies.
- Conduct scholarly research in educational technology, learning analytics, and online pedagogy, publishing findings in reputable journals and conferences.
- Provide academic leadership and mentorship to students undertaking research projects.
- Supervise and guide the work of junior faculty and teaching assistants involved in digital learning initiatives.
- Contribute to the strategic development of the institution's online learning programs and digital strategy.
- Evaluate and recommend new educational technologies to enhance teaching and learning experiences.
- Facilitate online discussions, provide constructive feedback, and foster a collaborative learning environment.
- Stay current with advancements in digital learning, pedagogical research, and emerging educational technologies.
- Contribute to the administrative and operational aspects of the department, particularly those related to online delivery.
- Represent the institution at relevant academic and industry events.
- Ph.D. in Education, Educational Technology, Computer Science, or a closely related field.
- Demonstrated experience in teaching and curriculum development at the higher education level, with a focus on online delivery.
- A strong record of scholarly research and publication in digital learning or educational technology.
- Proficiency with Learning Management Systems (LMS) such as Moodle, Blackboard, or Canvas.
- Experience with various digital tools for online collaboration, content creation, and assessment.
- Deep understanding of learning theories, instructional design principles, and effective online pedagogy.
- Excellent communication, presentation, and interpersonal skills, with the ability to engage diverse audiences.
- Proven ability to work independently and collaboratively in a remote academic setting.
- Experience in mentoring students and junior researchers.
- A commitment to promoting inclusive and accessible digital learning environments.
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1
Head of Digital Learning Technologies
LS9 0QY Leeds, Yorkshire and the Humber
£60000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client, a forward-thinking educational institution, is seeking an innovative and experienced Head of Digital Learning Technologies to lead their technology initiatives in Leeds, West Yorkshire, UK . This senior leadership role is responsible for shaping and implementing the institution's digital learning strategy, ensuring the effective integration of technology to enhance teaching, learning, and student engagement across all departments. The ideal candidate will possess a strong background in educational technology, learning management systems (LMS), and digital content development, coupled with proven leadership and project management skills. Responsibilities include managing the IT infrastructure that supports digital learning, overseeing the development and deployment of new educational technologies, providing strategic direction for online and blended learning programs, and leading a team of IT and instructional design professionals. You will collaborate closely with faculty, administrators, and students to identify needs and opportunities for technological innovation in education. A key aspect of the role involves evaluating emerging technologies, conducting vendor assessments, and managing the procurement and implementation of new digital learning tools and platforms. Experience in managing budgets, developing policies and procedures related to educational technology, and ensuring data security and privacy are also critical. A Master's degree in Education Technology, Information Science, or a related field, along with a minimum of 8 years of experience in educational technology leadership, is required. This is an excellent opportunity to make a significant impact on the future of education within a supportive and dynamic academic environment, driving the adoption of cutting-edge digital solutions.
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2
Senior Lecturer in Artificial Intelligence
S1 1LA Sheffield, Yorkshire and the Humber
£50000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
A leading academic institution in Sheffield, South Yorkshire, UK is looking for an accomplished Senior Lecturer in Artificial Intelligence to contribute to its esteemed Computer Science department. This hybrid role involves delivering engaging lectures and practical sessions on cutting-edge AI topics, conducting high-quality research, and supervising postgraduate students. You will be expected to develop and update course curricula, ensuring they remain relevant and at the forefront of AI advancements. Your research should aim for significant impact, with potential publication in top-tier journals and conferences. Responsibilities include mentoring junior faculty, contributing to departmental administration, and securing research funding. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record and demonstrable experience in teaching at the university level. Expertise in areas such as deep learning, natural language processing, computer vision, or reinforcement learning is highly sought after. You should have a passion for disseminating knowledge and fostering an inspiring learning environment. The ability to work independently and collaboratively, manage multiple projects, and contribute to the university's research profile is essential. This position offers a blend of on-campus teaching and research activities with the flexibility of remote work for research tasks and administrative duties. We are committed to academic excellence and supporting faculty in their professional development. This is an excellent opportunity for an experienced AI researcher and educator to make a significant contribution to the field and shape the next generation of AI professionals.
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3
Senior Reservoir Engineer - Digital Oilfield Technologies
M1 1AN Manchester, North West
£70000 Annually
WhatJobs
Posted 17 days ago
Job Viewed
Job Description
Our client, a prominent player in the energy sector, is seeking a highly skilled Senior Reservoir Engineer with expertise in digital oilfield technologies to join their dynamic team in Manchester, Greater Manchester, UK . This crucial role involves leveraging advanced data analytics, simulation, and digital tools to optimize reservoir performance, enhance production, and maximize asset value. You will be at the forefront of integrating cutting-edge technologies into traditional reservoir engineering practices.
The ideal candidate will possess a Master's or PhD in Petroleum Engineering, Chemical Engineering, or a related discipline, coupled with a minimum of 8 years of progressive experience in reservoir engineering, with a significant focus on digital oilfield applications. Demonstrated proficiency in reservoir simulation software (e.g., Eclipse, Petrel RE), data analytics platforms, and potentially AI/ML applications in reservoir management is essential. A strong understanding of reservoir characterization, fluid flow in porous media, and enhanced oil recovery (EOR) techniques is also required.
Key responsibilities include developing and executing advanced reservoir simulation models, analyzing large datasets to identify production optimization opportunities, and evaluating the economic viability of EOR projects. You will be responsible for forecasting production, assessing reserve potential, and making recommendations for field development and management strategies. Collaboration with multidisciplinary teams, including geoscientists, production engineers, and data scientists, will be essential to ensure integrated asset management and successful implementation of digital solutions.
You will play a key role in mentoring junior engineers, contributing to technical reviews, and staying abreast of emerging technologies and industry best practices. Excellent analytical, problem-solving, and communication skills are paramount, enabling you to effectively present complex technical information and recommendations to management and stakeholders. This role requires a deep commitment to innovation and driving efficiency in the oil and gas industry.
The ideal candidate will possess a Master's or PhD in Petroleum Engineering, Chemical Engineering, or a related discipline, coupled with a minimum of 8 years of progressive experience in reservoir engineering, with a significant focus on digital oilfield applications. Demonstrated proficiency in reservoir simulation software (e.g., Eclipse, Petrel RE), data analytics platforms, and potentially AI/ML applications in reservoir management is essential. A strong understanding of reservoir characterization, fluid flow in porous media, and enhanced oil recovery (EOR) techniques is also required.
Key responsibilities include developing and executing advanced reservoir simulation models, analyzing large datasets to identify production optimization opportunities, and evaluating the economic viability of EOR projects. You will be responsible for forecasting production, assessing reserve potential, and making recommendations for field development and management strategies. Collaboration with multidisciplinary teams, including geoscientists, production engineers, and data scientists, will be essential to ensure integrated asset management and successful implementation of digital solutions.
You will play a key role in mentoring junior engineers, contributing to technical reviews, and staying abreast of emerging technologies and industry best practices. Excellent analytical, problem-solving, and communication skills are paramount, enabling you to effectively present complex technical information and recommendations to management and stakeholders. This role requires a deep commitment to innovation and driving efficiency in the oil and gas industry.
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4
Senior Reservoir Engineer - Digital Oilfield Technologies
BD1 1AD Bradford, Yorkshire and the Humber
£80000 Annually
WhatJobs
Posted 24 days ago
Job Viewed
Job Description
We are seeking a highly experienced and forward-thinking Senior Reservoir Engineer to join our cutting-edge digital oilfield initiatives. This role is fully remote, allowing you to contribute your expertise from anywhere within the UK. Our client is a global leader in the oil and gas industry, committed to leveraging advanced technologies to optimize exploration, production, and reservoir management. As a Senior Reservoir Engineer, you will be at the forefront of implementing and refining digital solutions that enhance operational efficiency, improve recovery rates, and reduce costs. Your primary focus will be on developing and applying advanced reservoir simulation models, data analytics, and machine learning algorithms to understand and predict reservoir behaviour. You will work closely with geoscientists, production engineers, and data scientists to integrate diverse datasets and generate actionable insights. This role requires a deep understanding of reservoir engineering principles, fluid dynamics, and geological concepts, coupled with a strong aptitude for digital tools and technologies. Responsibilities include building sophisticated reservoir models, performing sensitivity analyses, evaluating development strategies, and optimizing production plans based on real-time data. You will also be responsible for communicating complex technical findings to management and stakeholders, contributing to strategic decision-making, and staying abreast of the latest advancements in reservoir simulation software and digital oilfield technologies. The ideal candidate will have a proven track record of success in reservoir engineering, with significant experience in numerical simulation, data analysis, and the application of AI/ML in the upstream sector. A strong understanding of cloud computing platforms and big data technologies is highly desirable. This is a remote-first position, offering unparalleled flexibility and the opportunity to work on challenging projects that shape the future of energy.
Key Responsibilities:
Key Responsibilities:
- Develop and maintain advanced reservoir simulation models using industry-standard software.
- Analyze production data, well logs, and seismic information to characterize reservoirs.
- Apply data analytics and machine learning techniques to optimize reservoir performance.
- Evaluate and recommend development strategies for oil and gas fields.
- Perform uncertainty analysis and risk assessment for reservoir models.
- Collaborate with multidisciplinary teams, including geologists and production engineers.
- Prepare technical reports and presentations for management and stakeholders.
- Stay current with new technologies and methodologies in reservoir engineering and digital oilfield.
- Mentor junior reservoir engineers and contribute to knowledge sharing.
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5
Senior Lecturer in Artificial Intelligence Ethics
BD1 1AH Bradford, Yorkshire and the Humber
£50000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client, a prestigious academic institution, is seeking an accomplished Senior Lecturer to join their distinguished faculty, specializing in the critical field of Artificial Intelligence Ethics. This role offers a unique opportunity to shape the curriculum, conduct influential research, and mentor the next generation of AI professionals. You will be instrumental in fostering a deeper understanding of the societal, ethical, and philosophical implications of AI technologies. This hybrid role balances dedicated on-campus teaching and research with the flexibility of remote work. Key Responsibilities:
- Deliver engaging and high-quality lectures and seminars on AI Ethics, responsible AI, and related topics to undergraduate and postgraduate students.
- Develop and revise course content, ensuring it remains current with advancements in AI and ethical discourse.
- Conduct original, high-impact research in AI Ethics, publishing findings in leading academic journals and presenting at international conferences.
- Supervise doctoral and master's students in their research projects.
- Contribute to the strategic development of the AI Ethics program and related academic initiatives.
- Foster interdisciplinary collaboration with researchers across various departments.
- Participate in departmental administrative duties, including admissions, curriculum review, and committee work.
- Engage in public outreach and knowledge exchange activities related to AI Ethics.
- Mentor students, providing academic and career guidance.
- Seek and secure external research funding.
- Stay abreast of global trends and debates in AI governance and ethics.
- Contribute to the vibrant intellectual community of the university.
- PhD in Philosophy, Ethics, Computer Science, Sociology, or a related field with a significant focus on AI Ethics or Technology Ethics.
- A strong publication record in reputable peer-reviewed journals and conferences.
- Demonstrated experience in teaching at the university level, including curriculum development.
- Proven ability to attract research funding.
- Excellent communication, presentation, and interpersonal skills.
- A deep understanding of current AI technologies and their ethical challenges.
- Experience supervising postgraduate students is essential.
- Ability to work effectively within a hybrid academic environment.
- A commitment to fostering an inclusive and diverse learning environment.
- Passion for exploring the complex relationship between technology and society.
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6
Senior Lecturer - Computer Science (Artificial Intelligence)
LS1 3AX Leeds, Yorkshire and the Humber
£45000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client, a prestigious academic institution located in the vibrant city of Leeds, West Yorkshire, UK , is actively seeking an accomplished Senior Lecturer to join their esteemed Department of Computer Science, with a specialization in Artificial Intelligence. This is a hybrid role, offering the ideal balance between engaging face-to-face teaching and research activities within the university, and the flexibility of remote preparation and administrative tasks.
The successful candidate will be a dedicated educator and a passionate researcher, committed to inspiring the next generation of computer scientists. You will contribute significantly to the department's teaching, research, and curriculum development in the rapidly evolving field of AI.
Key Responsibilities:
The successful candidate will be a dedicated educator and a passionate researcher, committed to inspiring the next generation of computer scientists. You will contribute significantly to the department's teaching, research, and curriculum development in the rapidly evolving field of AI.
Key Responsibilities:
- Deliver high-quality teaching and supervision at undergraduate and postgraduate levels across a range of AI-related modules, including machine learning, deep learning, natural language processing, and computer vision.
- Develop and update course materials, syllabi, and assessments to ensure they are current, relevant, and aligned with industry best practices and academic standards.
- Conduct independent, high-impact research in Artificial Intelligence, publishing findings in leading academic journals and presenting at international conferences.
- Seek and secure external research funding through grant applications and collaborative projects.
- Supervise postgraduate research students (MSc and PhD) through their research projects, providing mentorship and guidance.
- Contribute to the strategic development of the Computer Science department, particularly in the area of AI and its interdisciplinary applications.
- Participate in departmental administrative duties, including admissions, programme management, and quality assurance processes.
- Foster strong links with industry partners to enhance student employability and research collaboration opportunities.
- Contribute to the wider academic community through reviewing papers, examining theses, and participating in academic committees.
- Maintain an active and visible research profile, staying abreast of advancements in AI and related fields.
- Engage in public outreach activities to promote computer science and AI education and research.
- A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
- A strong track record of research publications in reputable AI conferences and journals.
- Demonstrable experience in teaching at university level, with a passion for student engagement and success.
- Experience in curriculum development and assessment design.
- Proven ability to attract external research funding.
- Excellent communication, presentation, and interpersonal skills.
- A collaborative spirit and the ability to work effectively within a diverse academic team.
- Expertise in core AI areas such as machine learning algorithms, neural networks, and data science.
- Experience in supervising postgraduate research students.
- A commitment to fostering an inclusive and supportive learning environment.
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7
Senior Lecturer in Artificial Intelligence & Machine Learning
LS1 1UR Leeds, Yorkshire and the Humber
£55000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a prestigious academic institution in Leeds, West Yorkshire, UK , is seeking a highly motivated and experienced Senior Lecturer to join their thriving Computer Science department. This role focuses on Artificial Intelligence and Machine Learning, contributing to cutting-edge research and delivering high-quality teaching at undergraduate and postgraduate levels. You will play a key role in shaping the curriculum, mentoring students, and contributing to the department's research output and international reputation. This hybrid position offers a balance between collaborative on-campus activities and the flexibility of remote work for research and independent study.
Key Responsibilities:
Key Responsibilities:
- Deliver engaging and inspiring lectures, seminars, and practical sessions in Artificial Intelligence, Machine Learning, and related fields, at undergraduate and postgraduate levels.
- Develop and update course materials, syllabi, and assessment methods to ensure they are current, relevant, and aligned with industry advancements.
- Conduct high-quality research in AI/ML, leading to publications in leading peer-reviewed journals and conferences.
- Supervise student research projects, dissertations, and PhD candidates.
- Contribute to the academic leadership and strategic development of the department.
- Seek and secure external research funding through grant applications.
- Collaborate with academic staff on research projects and teaching initiatives.
- Participate in departmental administrative duties, including committee work and student support.
- Mentor junior academic staff and contribute to their professional development.
- Engage in knowledge transfer activities, potentially collaborating with industry partners.
- Promote the department's research and teaching activities both internally and externally.
- A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline.
- A strong publication record in high-impact AI/ML venues.
- Demonstrable experience in teaching and curriculum development at the university level.
- Proven ability to attract research funding.
- Expertise in core AI/ML concepts, including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing, or computer vision.
- Proficiency in programming languages relevant to AI/ML, such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn).
- Excellent communication, presentation, and interpersonal skills.
- Evidence of academic leadership and the ability to mentor junior researchers and students.
- Experience with hybrid working models and effective remote collaboration tools.
- Ability to foster an inclusive and stimulating learning environment.
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8
Senior Lecturer in Computer Science - Artificial Intelligence
BD7 1AA Bradford, Yorkshire and the Humber
£45000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a highly respected university renowned for its cutting-edge research and vibrant academic community, is seeking an accomplished Senior Lecturer in Computer Science, specializing in Artificial Intelligence. This exciting position is based in Bradford, West Yorkshire, UK , offering a hybrid working model that combines on-campus teaching and research with the flexibility of remote work. You will be instrumental in delivering high-quality education, conducting groundbreaking research, and contributing to the development of the next generation of AI experts. Key Responsibilities:
- Deliver engaging and informative lectures, seminars, and practical sessions in various aspects of Artificial Intelligence, including machine learning, deep learning, natural language processing, computer vision, and intelligent systems.
- Develop and update course curricula to reflect the latest advancements and industry trends in AI.
- Supervise undergraduate and postgraduate research projects, dissertations, and theses.
- Conduct independent and collaborative research in AI, publishing findings in leading academic journals and presenting at international conferences.
- Secure external research funding through grant applications and collaborative projects.
- Contribute to the administrative and operational duties of the Computer Science department, such as admissions, examination boards, and program management.
- Mentor and support students, providing academic guidance and career advice.
- Engage in outreach activities to promote AI education and research within the university and the wider community.
- Foster interdisciplinary collaborations with other departments and external organizations.
- Contribute to the development and leadership of the AI research group.
- Ensure the highest standards of teaching quality and student experience are maintained.
- A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- A strong publication record in reputable AI journals and conferences.
- Proven experience in university-level teaching and curriculum development, with a track record of excellent student feedback.
- Demonstrated ability to conduct original research and attract research funding.
- Expertise in at least one major area of AI (e.g., ML, Deep Learning, NLP, CV).
- Experience in supervising research students.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work effectively both independently and as part of a collaborative team.
- Familiarity with modern programming languages relevant to AI (e.g., Python) and associated libraries (e.g., TensorFlow, PyTorch).
- A commitment to fostering an inclusive and diverse learning environment.
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9