26 to 38 of 38 Machine Learning Engineer Jobs in the UK excluding London

work, and everyday life. They are looking to develop an in-house voice generation and audio delivery system to enhance accessibility and emotional engagement and searching for the ML Engineer to work remotely that's going to make it happen! Senior Machine Learning Engineer - Speech/Voice AI (remote)Contract length: 3-monthIR-35 determination: OutsideLocation … life. They offer businesses a personal productivity app featuring tools for task breakdown, priority-setting, and structured support to manage anxiety, procrastination, and executive dysfunction. The platform combines tailored learning resources, assistive technology guidance, and mental health content in one accessible space. It serves both students and professionals, helping them build resilience, independence, and sustainable wellbeing through behaviour-change … for real-time playback and consistency across devices.- Create an inclusive, emotionally intelligent audio experience that deepens user connection and supports lasting behavioural wellbeing. Required skills:- Strong background in Machine Learning/Deep Learning with hands-on experience in speech or audio processing.- Experience fine-tuning or deploying modern TTS models (e.g. VITS, Bark, or FastSpeech2). More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is … design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in More ❯

Machine Learning Engineer UK – travel to Cambridge £80,000-£85,000 We're working with an early-stage, deep tech start-up led by PhD-level founders with a strong background in audio-focused machine learning. Backed by solid technical vision and real-world applications, they’re developing ground-breaking software that transforms earbuds into health More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). … This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). … This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes) click More ❯

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role … for an experienced engineer who can deliver real-world AI systems at scale. The Role The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept. Responsibilities include: • Developing and maintaining … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid – 2 days per week on-site) I’m partnering with a fast-growing AI company that originated from leading academic research and now works with major brands, including Boots. They’re looking for an experienced AI/ML Engineer to help design, build, and scale … intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions of users. Key Responsibilities … product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constraints. As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, with basic knowledge of hardware and software design. Experience developing and working with large software systems, especially in Python. Knowledge of state-of-the-art deep learning libraries such as TensorFlow and PyTorch. Experience training large deep learning models on GPU-based systems. Nice To Have Skills and Experience: ML Model Optimization techniques targeted for More ❯

Overview Chambers and Partners is transforming how the world’s leading legal professionals access insight and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. … entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers … and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For … fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or More ❯

Platform or DevOps Engineering (Azure preferred) Strong experience with Kubernetes, Docker, and Terraform Programming or scripting skills in Python or Go Familiarity with GitOps, Helm, and observability tools A learning mindset and interest in LLM operations More ❯

understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that More ❯