12 of 12 Permanent Machine Learning Jobs in Warrington

intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that … extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background ...

rare chance to do exactly that. You ll join a small, high impact team working at the forefront of next generation architectures, developing ML models and techniques that go beyond what s possible on conventional systems. We are working exclusively with a pioneering deep tech organisation whose technology is used … research output, and technical roadmap. You ll collaborate with internal experts, customers, and research partners to turn complex real world problems into high performance ML solutions. Key Responsibilities Develop and benchmark ML algorithms for novel computing hardware Work on generative models (flow, diffusion, GANs) and hybrid quantum classical architectures Translate ...

exceptional tech professionals for this role. As a Lead AI Engineer at Kainos, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. … colleagues and more junior developers, providing direction support as you solve challenging problems together. Minimum (essential) Requirements Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong ...

indicators. Automate client-ready reporting and insight generation across multiple accounts and channels. Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations Design AI-enabled systems to improve resourcing … ahead of developments in AI, martech, attribution, and agency operations. Continuously refine internal frameworks for speed, scalability, and repeatability. Embed a culture of testing, learning, and evidence-based decision making. Ensure AI capability evolves in line with agency growth and client expectations. Qualifications Education Bachelor's or Master ...

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. This step ...

tools for backlog management, sprint planning, and cross‐functional coordination. Nice to Have Experience with Sensor Fusion, IMUs, or custom hardware peripherals. Knowledge of machine‐learning‐based gesture recognition or kinematic modelling. Background in robotics, haptics, biomechanics, or real‐time simulation. What We Offer The opportunity to shape ...

someone with experience across: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks They are in a great position ...

assessing, securing, and migrating legacy systems into our scalable corporate architecture. Innovation: Stay "ahead of the curve" by identifying emerging technologies (e.g., AI/ML in drug development) that can drive efficiency and maintain our market-leading position. This is a high-impact role, leading and shaping the digital backbone ...

Process: Intro call where we talk about the role. Technical discussion with the Head of AI. Deep-dive session with a Backend Engineer and ML Engineer from the team. 30-minute conversation with the Founder. Why This Is Worth Your Time Real ownership: You'll be the architect behind ...

assessing, securing, and migrating legacy systems into our scalable corporate architecture. Innovation: Stay "ahead of the curve" by identifying emerging technologies (e.g., AI/ML in drug development) that can drive efficiency and maintain our market-leading position. Candidate Profile Proven Pharmaceutical Experience: Deep knowledge of IT strategy specifically within ...

insights — and are seeking a Lead AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the Lead … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

centre of the technical engine that will power all future growth and joining at this stage offers: Meaningful ownership and huge learning opportunities Personal progression with a clear route to a senior leadership role Freedom to influence technology choices Exposure to fascinating operational problems across a variety of sectors … following is beneficial: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks We need someone who can build ...