51 to 75 of 92 Machine Learning Jobs in Reading

immersive technology business’ who develop content and interactive experiences for businesses across the UK and globally. Their services range from consultancy, product apps, e-learning, immersive gaming & simulation and as a leader within the industry, they have partnered with some of biggest brands from McDonalds to Microsoft to PlayStation. … 3D graphics. Support pushing the boundaries of AR, VR & AI experiences. Develop C# code across web and mobile platforms. Begin to integrate AI and Machine Learning principals. Work closely with stakeholders to understand requirements. Be passionate about digital entertainment and immersive experiences. Happy in a fast-paced, innovative … solving skills and ability to lead change. Confident collaborative skills working across different teams. Good communicator and a self-starter mindset. Bonus Skills: C++, ML – TensorFlow, PyTorch, VFX. Salary: £70,000-£90,000 Benefits: Bonus, 25 Days Holiday, Healthcare If that sounds of interest, please apply and I can give More ❯

who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a Data/ML focused project. You’ll be expected to work in a cross-functional team, devised of Platform Engineers, Data Engineers, Machine Learning Engineers and More ❯

and build tooling to ensure successful use of Nscale’s training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise More ❯

want to help scale something from zero to one, this is the role for you. We're looking for: Strong product-focused AI/ML engineering experience Experience fine-tuning LLMs and generative AI models Ideally, you'll have experience building voice agents (TTS, STT) Entrepreneurial, independent, and ready to More ❯

Data/ETL Testing Ensures accurate data flow, transformation, and validation in data pipelines. Works with SQL, Informatica , Talend , SSIS , Snowflake . AI/ML Model Testing Test models for accuracy, bias, and performance. Involves validating model predictions, fairness, and ethical AI compliance. Seniority Level Associate Industry IT Services and More ❯

business acumen and commercial awareness Experience communicating to different personality types, scenarios and managing high pressure scenarios. A passion for technology and AI/ML Innovative and take risks to create new processes and create efficiencies Comfortable in giving and receiving constructive feedback Comfortable working in a start up-like 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 ❯

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 ❯

such as improving the sophistication of models and deploying the latest data science techniques. This vacancy can be fully remote. Responsibilities: Building predictive/machine learning models Predict perils for claims/severity Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders Requirements 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 ❯

scalable, intelligent applications that serve thousands of users. Responsibilities: Design, develop and maintain robust backend systems using Ruby (Rails or Sinatra) Integrate AI and machine learning tools/APIs into our applications (e.g. OpenAI, Hugging Face, TensorFlow or custom models) Collaborate with frontend developers, data scientists and product More ❯

with a HealthTech company in Cambridge who are seeking a Salesforce Developer with life sciences experience to join their team. Utilising genomics, AI, and machine learning to revolutionise the healthcare industry, they need you to come in and support their one-of-a-kind product aimed at reducing More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

the potential for extension. This is your chance to work remotely with a collaborative team, contribute to real-world applications, and get exposure to machine learning feature development. What You'll Be Doing: Designing and building robust windows desktop applications using Python and PyQt Applying your deep understanding More ❯

Knowledge of TM Forum standards, Open APIs, and ITIL frameworks. Define architecture patterns for automation, zero-touch provisioning, closed-loop assurance, and AI/ML-driven operations. Ensure compliance with TM Forum frameworks (eTOM, SID, Open APIs) and industry standards and evaluate and integrate COTS OSS solutions and custom platforms More ❯

Knowledge of TM Forum standards, Open APIs, and ITIL frameworks. Define architecture patterns for automation, zero-touch provisioning, closed-loop assurance, and AI/ML-driven operations. Ensure compliance with TM Forum frameworks (eTOM, SID, Open APIs) and industry standards and evaluate and integrate COTS OSS solutions and custom platforms More ❯

Knowledge of TM Forum standards, Open APIs, and ITIL frameworks. Define architecture patterns for automation, zero-touch provisioning, closed-loop assurance, and AI/ML-driven operations. Ensure compliance with TM Forum frameworks (eTOM, SID, Open APIs) and industry standards and evaluate and integrate COTS OSS solutions and custom platforms More ❯

server platforms and commissioning protocols . Strong track record in multi-site international deployments , ideally in EMEA regions . Deep understanding of AI/ML workloads , power and cooling design for high-density compute environments, and Tier III+ data center standards. Comfortable operating in a contract-based role with a More ❯

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 … 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 More ❯

Database, DevOps/Git, Data Lake, Delta Lake, Power BI), with working knowledge of Azure WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency … by the Five Principles. Join a purpose driven company, where we’re striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. 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 ❯

teams and client projects. Ideal Candidate Profile Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent. AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering. Software Engineering Skills: Strong programming skills in Python (AI pipelines) and … production environments, including performance monitoring and optimization. Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams. Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development. Preferred Qualifications Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques. More ❯