76 to 92 of 92 Machine Learning Jobs in Reading

in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks. This is a hands-on role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be responsible for … AI agent capabilities. Experience: Agentic Experience: Hands-on experience with frameworks like LangChain, LangGraph, or similar. Deep AI Knowledge: Strong foundation in AI/ML concepts, especially around LLMs, prompt engineering, embeddings, and vector search. Engineering Excellence: Fluency in Python and TypeScript. Able to write robust, testable production code. Product … production. Collaborative Spirit: Able to work in a highly cross-functional and fast-paced environment. Experimentation Mindset: Passion for testing ideas, building rapidly, and learning from experiments. If interested, please apply with an up to date CV or email Jordan@accelerogroup.co.uk for more information. More ❯

systems are reliable and user-centered Hire, mentor, and grow a team of AI engineers and researchers Stay current with developments in AI/ML and apply relevant research to product needs. Skills & Experience: 5+ years of experience building and deploying AI/ML systems in production. Strong background in More ❯

working with LLMs, agentic frameworks, and modern backend tools in a remote, collaborative setup. What you'll need: Strong Python engineering background (AI/ML or backend) Experience building with LLMs (LangChain, LlamaIndex, or LangGraph) Familiar with vector databases for embedding/indexing with images, audio, text and video Familiar … with different multi-agent system patterns Comfortable with FastAPI or Flask Strong cloud experience (GCP or AWS) Nice to have: GCP experience Background in ML projects Experience working on data-heavy applications Familiarity with CI/CD pipelines If you're available from 19th May and interested in a short More ❯

ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems … scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify … using tools like LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance 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 ❯

hybrid and multi-cloud environments. Over the past decade, they’ve evolved from bespoke cloud consulting to a platform-led approach — offering cost intelligence, ML-powered recommendations, and deep cloud integrations. They are a founding member of the FinOps Foundation, a key voice in the emerging BillOps space, and are … data pipeline tools • Knowledge of FinOps practices or cost intelligence platforms • Experience contributing to open-source platforms or cloud-native communities • Working knowledge of ML or AI-led querying and optimization techniques Why Join? • Shape the early foundations of a new product engineering function in the UK • Work directly with More ❯

all things Knowledge Graph related Independently determine appropriate data and modelling choices. Effectively communicate with technical and non-technical stakeholders. Follow best practices for ML experimentation and MLOps. Required Qualifications: PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with … traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please More ❯

Senior AI Engineer Key Highlights • AI/ML Solutions: Built scalable AI tools and pipelines (e.g., fine-tuning BERT, multimodal ML models) and delivered measurable improvements like a 10% boost in classification accuracy. • System Modernization: Proficient in optimizing workflows, reducing technical debt, and modernizing legacy systems. • Automation and Efficiency: Developed More ❯

Join a dynamic, VC-backed startup that is revolutionising risk and compliance management in electronic communications using AI and ML! We're looking for a Senior Site Reliability Engineer who is deeply passionate about technology and looking to play a pivotal role in ensuring the availability, security, and efficiency of … meetups in various locations across the globe Annual meet up Equipment supplied 25 days holiday + bank holidays If you have a passion for learning new tech and the desire to work in a collaborative, low-management-overhead environment, I'd love to hear from you. More ❯

numi are proud to be working with an company looking for an AI Engineer to help integrate cutting-edge AI into their Learning Technologies products. This role is all about turning AI research into real, impactful product features. What You’ll Be Doing Building & integrating AI models – Design, develop … leadership – Break down complex AI concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch . Strong back-end engineering skills (Python or Node.js, bonus points for React More ❯

system behind it in a tight feedback loop with leadership, production and our customers. This team is tackling some great challenges, for instance, using ML/AI to help customers get ahead of demand fluctuations with a state-of-the-art forecasting tool. What we’re seeking in successful candidates … Experience in Workforce Management or Scheduling tools would be desirable. Benefits include: 35 days of paid leave per year Equity Comprehensive private health insurance Learning & Development budget of up to £1000 Annual trips across Europe Unfortunately, this role doesn’t provide sponsorship. Sounding good? To apply for the job More ❯

play a key role in building and managing cloud-native and containerised environments, with a strong focus on Kubernetes, CI/CD pipelines, and ML/AI workloads. Role Responsibilities: • Kubernetes Management : Own the operational performance, maintenance, and enhancement of Kubernetes clusters. Ensure systems remain secure, scalable, and aligned with … and deliver practical computing solutions tailored to their work. • Infrastructure Design : Design, implement, and maintain cloud-native and containerised infrastructure, with a focus on ML/AI research and Kubernetes-based platforms. • CI/CD Development : Develop and maintain CI/CD pipelines to optimise the deployment and integration of … Kubernetes environments. • Strong Linux and Windows system administration expertise. • Familiarity with high-performance computing (HPC) clusters and distributed computing frameworks. • Hands-on experience supporting ML/AI workloads in cloud-native or containerised environments. • Proficient in automation and scripting using Python. • Experience designing and implementing CI/CD pipelines for More ❯

of 8 years of B2B sales experience, with a focus on enterprise customers Proven experience in selling highly technical solutions within the AI/ML/DeepTech/Dev space Good experience as part of an early/founding GTM team in software startups Preferred background in ad serving, dynamic … Excellent communication, interpersonal, and presentation skills. Strong problem-solving abilities with a creative approach to delivering solutions. Highly resourceful, with a passion for continuous learning and professional development. Exceptional attention to detail and the ability to strategically prioritize and manage multiple projects simultaneously. 📲🙋‍♀️ *Follow Scout Global for more roles More ❯

the market landscape, competition and buyer trends. Proven track record in securing multi-tower, complex IT deals (e.g. Cloud, Digital, Data Platforms, AI/ML) in the transportation sector. Strong experience in tender-based sales processes, including RFIs, ITTs and pre-qualification questionnaires. Exceptional communication, persuasion and negotiation skills. A … solutions-oriented mindset and deep understanding of technology-enabled business change. Familiarity with data-led propositions, including data acquisition, data sharing, and machine learning. Confidence working with senior stakeholders and internal cross-functional teams. This is an exciting opportunity for you to work in a fast-growing technology company. More ❯

launched their own AI startup or built early-stage AI products from scratch. About you You’ll draw on your experience in AI/ML Engineering to drive the design of the platform and tailor it to be most efficient for AI Agents, and have the following: Experience working in … stakeholders. Action bias - you ship, you solve, you build. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re More ❯

Salary: Up to £165k base salary + Double OTE + Equity A hyper-growth data security company is leading the charge in the AI/Gen AI space. With massive market traction and skyrocketing customer demand, the EMEA sales team More ❯

backbone for AI pod deployments, collaborating with internal and external stakeholders to deliver scalable, high-density compute environments ready for cutting-edge AI/ML workloads. Key Responsibilities AI Data Center Architecture & Design Architect end-to-end solutions for AI-ready data centers, including layout, rack elevation, power/cooling … Proven deployment and integration experience with NVIDIA DGX systems , including familiarity with NVLink, NVIDIA Base Command , and commissioning processes. Deep understanding of AI/ML workload requirements , cooling and power density challenges, and scalable GPU cluster design. Strong background in working with third-party vendors and managing complex, multi-site More ❯