23 of 23 Permanent Machine Learning Jobs in Reading

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

A growing technology company is seeking a Machine Learning Engineer to develop predictive maintenance models for robotic components. This role involves building models from scratch using optical, UV, and thermal imaging data, as well as environmental sensor data such as humidity, temperature, and pressure. Key Responsibilities Develop machine learning models to detect anomalies and failure patterns in robotic components. Use Python and PyTorch to process real-time image and sensor data. Data Processing & Synthetic Data Generation Create synthetic datasets to enhance model training and failure mode analysis. Work with high-voltage equipment data to refine predictive … Work with manufacturers to improve equipment reliability through machine learning insights. Collaborate with an in-house data scientist to process and analyze ML outputs. Set up and optimize machine learning pipelines for real-world deployment. Key Skills & Experience Proficiency in Python and PyTorch for model development. More ❯

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 … 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 … 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 More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such More ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub … learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud More ❯

sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data … expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. More ❯

capital and training to underserved micro and small businesses. With millions of loans already disbursed and an impressive repayment rate, they combine mobile money, machine learning, and a hybrid service model to create long-term, sustainable impact. They are now seeking a Head of Backend Engineering to lead More ❯

Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models. • Strong SQL skills, enabling support for Data Analysts with efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or More ❯

Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models. • Strong SQL skills, enabling support for Data Analysts with efficient and performant queries. • Skilled in optimizing data ingestion and query performance for MSSQL or More ❯

you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can More ❯

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 More ❯

AI and infrastructure software solutions to enterprise clients. If you're passionate about how technology is transforming dynamic fields such as Artificial Intelligence, Deep Learning, Cloud Computing, and Virtualization, we'd love to connect with you! At NVIDIA, we're deeply committed to helping customers innovate and unlock the … active engagement on end user opportunities with NVIDIA account team, OEMs, Channel Partners and VARs, NVIDIA cloud partner and CSP on both AI/ML and infrastructure to contribute against EMEA defined revenue target. Communicate NVIDIA technology impact and value to the geo; build demand for NVIDIA technologies in the … Virtualized Datacenter(e.g. VMware/RedHat/Ubuntu), cloud native (Redhat Open shift/Kubernetes) and Data Science/Machine Learning segments. Coordinate appropriate engagement of company resources to ensure sales success Opportunity management - via NVIDIA account team and OEM and channel/cloud partners (NPN) with accurate More ❯

is dedicated to creating innovative energy solutions. Our mission is to eliminate all wasted energy in buildings, significantly reducing global carbon emissions. By combining machine learning technology with behavioural change, we automate the process of finding and removing energy waste at scale. Our solution eliminates 30-50% of More ❯

is dedicated to creating innovative energy solutions. Our mission is to eliminate all wasted energy in buildings, significantly reducing global carbon emissions. By combining machine learning technology with behavioural change, we automate the process of finding and removing energy waste at scale. Our solution eliminates 30-50% of More ❯

earning potential and job security. Flexible working opportunities within the industry. Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking, and DevOps. More ❯

proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI … a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. … through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that More ❯

proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI … a plus). Ability to clearly articulate complex technical concepts to a variety of audiences, including non-specialists. Solid understanding of how to adapt ML techniques to specific industry challenges and business-driven problems. Strong programming and prototyping skills, especially useful when building demonstrators or PoCs to validate research outputs. … through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that More ❯

this looks like a bit of you please do not hesitate to apply now! David Crowley - Consulting across Tech in Healthcare (SDLC, AI/ML More ❯

image and video applications. - Strong track record of optimizing neural network architectures specifically for NPUs or other hardware accelerators. - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Excellent analytical, communication, and collaborative skills. Preferred Qualifications: - Industry experience delivering real-world generative AI … solutions. - Knowledge of hardware-aware model optimization techniques. - Experience with large-scale distributed training and deployment. - Experience with AML/ADO pipelines. - Knowledge of ML model optimization techniques. - Demonstrated ability to publish impactful research in leading AI/ML conferences such as CVPR, ICCV, NeurIPS, ICML, or similar. Microsoft is More ❯

Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers … in cutting-edge fields like AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA … or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission More ❯

Location: Remote or Reading, UK Start Date: August 18, 2025 | End Date: October 31, 2026 Are you passionate about empowering developers and driving impactful learning campaigns across Europe? Join a global tech leader as a Developer Marketing Manager and lead initiatives that educate, inspire, and engage millions of developers … in cutting-edge fields like AI, deep learning, data science, and high-performance computing. This is an exciting opportunity to own and scale education-focused marketing programs across EMEA, supporting a world-class training platform that has already reached nearly a million developers. What You’ll Do Manage EMEA … or a related field. Fluent English and excellent written, verbal, and cross-functional communication skills. Bonus Points Experience marketing to developers in AI/ML, deep learning, or parallel computing environments. Previous engagement with startup ecosystems and developer communities. Additional language skills, especially a Nordic language. Join a mission More ❯

who are looking for a Data Architect to join their team. You will either be looking to solidify your skill set and thrive in learning more technologies or you may be experienced and looking to grow your career in a company that really values your experience. This isn't … connect, communicate, and bring clarity to complex problems. There's a solid base of architectural work here, but also space to explore AI/ML, strategy, or wherever your interests lead. The team's big on mentoring, sharing knowledge, and backing each other up when things get busy. Culturally, this More ❯