15 of 15 Machine Learning Jobs in Middlesex

An exciting opportunity has arisen for a Researcher in Computer Vision and Machine Learning to join a world-class AI research centre based in Cambridge. This permanent, full-time role is ideal for an ambitious researcher with a strong background in Computer Vision and Deep Learning who is looking to work on cutting-edge problems at the … you'll have the chance to publish at top-tier conferences and shape the future of human-centric AI technologies. Key Responsibilities for a Researcher in Computer Vision and Machine Learning based in Cambridge: Conduct innovative, hands-on research in Computer Vision, Deep Learning, and Vision & Language. Publish research findings at top international conferences (CVPR, ICCV, ECCV … regressive models) Efficient architectures for deployment Model compression (quantization, distillation) Efficient adaptation of large models What We're Looking For: Proven research experience in Computer Vision and/or Machine Learning Strong knowledge of deep learning frameworks (e.G. PyTorch) A track record of publication in leading conferences/journals (CVPR, NeurIPS, ICML, etc.) Excellent communication and collaboration More ❯

to join a leading-edge Artificial Intelligence Centre in Cambridge. This is a permanent, full-time role ideal for a passionate researcher or engineer with a strong background in Machine Learning and a keen interest in efficient AI systems for mobile and embedded platforms. You'll be joining a world-class team focused on developing and commercialising next … and contribute to research in efficient machine learning, including on-device large language and vision-language models Collaborate with cross-functional product and research teams to integrate ML solutions into real-world consumer devices Design and implement novel ML algorithms and mobile ML systems with a focus on performance, scalability, and efficiency Translate research into practical solutions, contributing … growth Skills & Experience: PhD in Computer Science, Electrical Engineering, or equivalent industry research experience Solid background in machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience in efficient ML techniques: quantization, pruning, distillation Familiarity with deployment on mobile and embedded devices (e.G. Smartphones, mobile CPU/GPU/NPU) Strong skills in Python, C/C++, and GNU/ More ❯

be enthusiastic and willing to learn new things. It is also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask … holidays. Attractive defined contribution pension scheme. Employee stock purchase plan. Flexible working options. Private medical care. Life assurance. Enhanced maternity and paternity pay. Career development support and wide ranging learning opportunities. Employee health and wellbeing support EAP, wellbeing guidance etc. Carbon neutral initiatives/goals. Corporate social responsibility initiatives including support for volunteering days. Well known companies discount scheme. More ❯

of both Java and SQL is required. Preferred knowledge of Oracle, Mongo, Hibernate, Spring, Quarkus and Angular. An interest of experience preferred in mobile programming, Cloud computing, AI and Machine Learning. Analytical, keen to learn, develop and explore new technology. Meticulous attention to detail, rigorous and patient with complex financial software systems. What's in it for you If More ❯

acumen, with the ability to effectively promote and advocate for innovative solutions.· Excellent communication and presentation skills, with the ability to impress and influence senior executives.· Experience in AI, machine learning, or related fields is highly desirable.· Strong leadership and team management skills, with the ability to inspire and motivate cross-functional teams.· Ability to work effectively in More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

and development tools based on business needs. Guide the selection of database technologies (SQL, NoSQL, time-series databases, etc.). Help teams adopt emerging technologies such as AI/ML when relevant. 9. Stakeholder Communication & Knowledge Transfer Provide technical workshops and training sessions for development teams. Act as a bridge between technical and non-technical stakeholders, translating complex concepts into More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

domains, such as: Developing ontologies to support automation in advanced manufacturing Creating data structures and storage architectures for advanced materials Defining data quality metrics for medical datasets used in machine learning Building information models to represent scientific experiments Improving research data processing through automation, scalability, and infrastructure redesign The NPL Data Science Team, comprising around 30 members across More ❯

You'll need a degree in mechanical or aerospace engineering combined with commercial work experience in engineering data analysis using modelling tools such as Power BI, advanced Excel and ML CV not ready? No problem, just call, text or email me - I'll always get back to you More ❯

Role: Technology & AI Manager Salary: £65k - £75k Location: West London (Heathrow/Uxbridge) Hybrid Working - 2 days on-site/3 days WFH Skillset: Data Products/AI/ML Summary A brand-new position has opened for a Technology and AI Manager to join a thriving global logistics and transportation company. The role is being offered on a hybrid … act as the bridge between business stakeholders, the technology division, and external technology partners. We are looking for someone who can identify opportunities to design and deploy AI and ML within the business. The company already have ideas as to where this can work well but are looking for additional ideas, expertise and knowledge. What are we looking for The More ❯