15 of 15 Permanent Machine Learning Jobs in Milton Keynes

with speed, accuracy, and control, gearing up for 4x growth in 2026, it has never been a more exciting time to join! As Senior ML Engineer, you'll build the production systems that make this possible, ingestion pipelines, graph-based orchestration, and integration of NLP, LLMs, and ML components into … take full ownership of projects, shape the technical direction from the ground up, and grow your career. Stack: Python, API design, Neo4j, Graph schemas, ML/LLM integration/deployment What do you need? Strong backend engineering experience with Python Experience building production ML/NLP systems/deploying ...

research into production pipelines Help set technical direction and best practices for AI-driven interaction work Required experience Strong experience working with AI/machine learning systems (research and/or applied) Deep experience in one or more of the following: Human motion generation … Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI Strong proficiency in Python and modern ML frameworks (e.g. PyTorch) Proven ability to translate research ideas into working systems Track record of technical ownership and independent problem-solving Creative, research-driven mindset ...

drive collaboration across engineering, product, security, professional services and customer facing teams Highly advantageous experience includes: regulated environments, multi cloud operations, AI or ML integration, multi region deployments, education sector systems, API first platforms, legacy to modern engineering uplift Responsibilities for Head of Engineering: Lead and develop engineering managers … Azure/AWS/GCP/SaaS Migration/Microservices/Infrastructure as Code/Kubernetes/CI/CD/AI Engineering/Machine Learning/API Architecture/.NET/Python/Java/JavaScript/C#/Software Development Manager/Software Engineering Manager ...

Microprocessor Systems, Cloud Computing, Edge Computing, Wireless Communication, Device Management, System Architecture, Requirements Engineering, Testing and Validation, Reliability Engineering, Scalability, Security Engineering, Data Analytics, Machine Learning at the Edge, Industry Standards and Compliance, Agile Development, Prototyping, Simulation and Modeling, Power Management, Signal Processing. Humand Talent Solutions and their ...

self-funded, independent AI group, focused on building a new consumer AI application with global impact. We're assembling a small, elite team of ML, engineering and product builders who want to work on meaningful, high-impact problems. About The Role You will shape the core technical direction … zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal or diffusion models Experience ...

owner or similar role Experience of JIRA and Confluence Strong understanding of product management practices? Understanding of Cloud Development, Data Modelling, PowerBI, AI and Machine Learning modelling Experience of SQL server, Azure and Microsoft Fabric Qualification: Preferably educated to graduate level with a bachelors degree in business, computer ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

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 ...

growing market with meaningful impact and long-term upside What You Bring 5+ years of experience in enterprise or strategic sales, ideally within AI, ML, security, or technical services Proven ability to close complex, high-value deals with technical customers Experience selling consultative, services-led offerings rather than purely transactional ...

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 ...

roles remain hands-on, with leadership scope depending on experience. What you'll do Build and deploy secure data pipelines, platforms, and AI/ML solutions Productionise analytics and ML, including GenAI and agentic patterns where relevant Translate Defence requirements into robust technical designs with stakeholders Support MOD capability … exposure, AWS, Azure, GCP, and/or Databricks Python, ideally PySpark, R helpful but not essential End-to-end pipelines, feature engineering, and production ML workflows Familiarity with LLMs, GenAI, or agent-based systems Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector Understanding of requirements artefacts ...

industry engagement. What theyre looking for: 8+ years experience in B2B SaaS or software sales, ideally in data management, enterprise search, or AI/ML domains Proven experience selling complex software or AI-driven solutions into mid-market and enterprise organisations. Comfort operating with senior stakeholders across IT, data, compliance ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. *Hybrid contract position in london Key Responsibilities: Build and deploy end-to-end GenAI features and APIs Integrate and optimize LLMs … workflows Measure and improve model quality, performance, and cost Implement monitoring, testing, and observability for GenAI systems Collaborate with data scientists to productionize ML models Contribute to code reviews, design discussions, and GenAI innovation Required Qualifications 4+ years of software engineering experience, including experience working with ML/AI systems ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...